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Jason Cong

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 101 353 342 194 187 650 37401

Jason Cong publications per year

The chart shows the history of publications by Jason Cong between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jason Cong published across 38 years, from 1988 to 2025, averaging 17.3 papers a year. Output peaked at 35 publications in 2018. 17 of the 658 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2018. 1988: 4 publications 1989: 4 publications 1990: 5 publications 1991: 8 publications 1992: 15 publications 1993: 12 publications 1994: 9 publications 1995: 7 publications 1996: 13 publications 1997: 20 publications 1998: 17 publications 1999: 17 publications 2000: 20 publications 2001: 17 publications 2002: 12 publications 2003: 24 publications 2004: 17 publications 2005: 31 publications 2006: 22 publications 2007: 14 publications 2008: 24 publications 2009: 28 publications 2010: 23 publications 2011: 32 publications 2012: 31 publications 2013: 27 publications 2014: 25 publications 2015: 20 publications 2016: 23 publications 2017: 18 publications 2018: 35 publications 2019: 19 publications 2020: 20 publications 2021: 26 publications 2022: 1 publication 2023: 1 publication 2024: 4 publications 2025: 13 publications
1988 2025

658 publications in total across all disciplines

View publications per year as a table
Jason Cong: publications per year, 1988 to 2025
Year Publications
1988 4
1989 4
1990 5
1991 8
1992 15
1993 12
1994 9
1995 7
1996 13
1997 20
1998 17
1999 17
2000 20
2001 17
2002 12
2003 24
2004 17
2005 31
2006 22
2007 14
2008 24
2009 28
2010 23
2011 32
2012 31
2013 27
2014 25
2015 20
2016 23
2017 18
2018 35
2019 19
2020 20
2021 26
2022 1
2023 1
2024 4
2025 13
Total 658
Download as CSV

Jason Cong publications per year - data summary

  • Jason Cong, a Computer Science scholar from University of California, Los Angeles, has 658 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive year is 2018, with 35 publications.
  • The least productive years with any output are 2022 and 2023, with 1 publication each.
  • The rate of publication averages 17.3 papers per year over the whole span, or 17.3 per year counting only the 38 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 45 publications, 7% of the career total.
  • Split into equal eras - 1988-2000: 151 publications (11.6 per year); 2001-2013: 302 publications (23.2 per year); 2014-2025: 205 publications (17.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Jason Cong publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jason Cong sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 642–651 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 650 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17 650
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Jason Cong publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Jason Cong, a Computer Science scholar from University of California, Los Angeles, records 650 publications - the 97th percentile of the discipline.
  • 97% of ranked Computer Science scientists score the same or lower than Jason Cong, and about 3% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Jason Cong ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Jason Cong D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jason Cong sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 100–101 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 101 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36 101
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Jason Cong D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Jason Cong, a Computer Science scholar from University of California, Los Angeles, records 101 D-Index - the 98th percentile of the discipline.
  • 98% of ranked Computer Science scientists score the same or lower than Jason Cong, and about 2% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Jason Cong ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2020 - Fellow, National Academy of Inventors
  • 2019 - Semiconductor Industry Association University Researcher Award
  • 2017 - Member of the National Academy of Engineering For pioneering contributions to application-specific programmable logic via innovations in field-programmable gate array synthesis.
  • 2008 - ACM Fellow For contributions to electronic design automation.
  • 2001 - IEEE Fellow For contributions to the computer-aided design of integrated circuits, especially in physical design automation, interconnect optimization, and synthesis of field-programmable gate-arrays.

Overview

Jason Cong is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple scientific disciplines, including Computer Science, Biochemistry, Genetics and Molecular Biology, and Engineering. Key subfields of their work include Biophysics, Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, and Media Technology.

The scientist's main research topics cover a variety of areas, with notable focus on Cell Image Analysis Techniques, Image Processing Techniques and Applications, Computational Drug Discovery Methods, Machine Learning in Materials Science, Advanced Fluorescence Microscopy Techniques, Quantum Computing Algorithms and Architecture, and Embedded Systems Design Techniques.

Jason Cong has contributed to numerous publications across several venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • SAR and QSAR in environmental research
  • IEEE Design and Test
  • bioRxiv (Cold Spring Harbor Laboratory)

Representative recent papers authored or coauthored by Jason Cong include:

  • "A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware" (2023), published in arXiv (Cornell University)
  • "Molecular mechanism underlying effect of D93 and D289 protonation states on inhibitor-BACE1 binding: exploration from multiple independent Gaussian accelerated molecular dynamics and deep learning" (2024), published in SAR and QSAR in environmental research
  • "Binding mechanism of inhibitors to DFG-in and DFG-out P38α deciphered using multiple independent Gaussian accelerated molecular dynamics simulations and deep learning" (2025), published in SAR and QSAR in environmental research
  • "2019 DAC Roundtable" (2020), published in IEEE Design and Test
  • "Gossamer: Scaling Image Processing and Reconstruction to Whole Brains" (2024), published in bioRxiv (Cold Spring Harbor Laboratory)

Jason Cong collaborates regularly with several researchers, including:

  • Yizhou Sun
  • Karl Marrett
  • Keivan Moradi
  • Chris Sin Park
  • Ming Yan

The scientist's work has been recognized with multiple awards. These include:

  • Fellow, National Academy of Inventors (2020)
  • Semiconductor Industry Association University Researcher Award (2019)
  • Member of the National Academy of Engineering (2017) for pioneering contributions to application-specific programmable logic via innovations in field-programmable gate array synthesis
  • ACM Fellow (2008) for contributions to electronic design automation
  • IEEE Fellow (2001) for contributions to the computer-aided design of integrated circuits, especially in physical design automation, interconnect optimization, and synthesis of field-programmable gate-arrays

Best Publications

  • Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

    Chen Zhang;Peng Li;Guangyu Sun;Yijin Guan

  • High-Level Synthesis for FPGAs: From Prototyping to Deployment

    Jason Cong;Bin Liu;Stephen Neuendorffer;Juanjo Noguera

  • FlowMap: an optimal technology mapping algorithm for delay optimization in lookup-table based FPGA designs

    J. Cong;Yuzheng Ding

  • Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks

    Chen Zhang;Guangyu Sun;Zhenman Fang;Peipei Zhou

  • A thermal-driven floorplanning algorithm for 3D ICs

    J. Cong;Jie Wei;Yan Zhang

  • Scaling for edge inference of deep neural networks

    Xiaowei Xu;Yukun Ding;Sharon Xiaobo Hu;Michael Niemier

  • Minimizing Computation in Convolutional Neural Networks

    Jason Cong;Bingjun Xiao

  • Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs

    Xuechao Wei;Cody Hao Yu;Peng Zhang;Youxiang Chen

  • Performance optimization of VLSI interconnect layout

    Jason Cong;Lei He;Cheng-Kok Koh;Patrick H. Madden

  • On area/depth trade-off in LUT-based FPGA technology mapping

    J. Cong;Yuzheng Ding

  • An interconnect-centric design flow for nanometer technologies

    J. Cong

  • CMP network-on-chip overlaid with multi-band RF-interconnect

    M.F. Chang;J. Cong;A. Kaplan;M. Naik

  • FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates

    Yijin Guan;Hao Liang;Ningyi Xu;Wenqiang Wang

  • Application-specific instruction generation for configurable processor architectures

    Jason Cong;Yiping Fan;Guoling Han;Zhiru Zhang

  • Combinational logic synthesis for LUT based field programmable gate arrays

    Jason Cong;Yuzheng Ding

  • SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network

    Meng Li;William Hsu;Xiaodong Xie;Jason Cong

  • Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks

    Chen Zhang;Zhenman Fang;Peipei Zhou;Peichen Pan

  • Provably good performance-driven global routing

    J. Cong;A.B. Kahng;G. Robins;M. Sarrafzadeh

  • Interconnect design for deep submicron ICs

    Jason Cong;Zhigang Pan;Lei He;Cheng-Kok Koh

  • Routability-Driven Placement and White Space Allocation

    Chen Li;Min Xie;Cheng-Kok Koh;J. Cong

  • A scalable micro wireless interconnect structure for CMPs

    Suk-Bok Lee;Sai-Wang Tam;Ioannis Pefkianakis;Songwu Lu

  • Three Dimensional Integrated Circuit Design

    Yuan Xie;Jason Cong;Sachin Sapatnekar

Frequent Co-Authors

Glenn Reinman
Glenn Reinman University of California, Los Angeles
Deming Chen
Deming Chen University of Illinois at Urbana-Champaign
Mau-Chung Frank Chang
Mau-Chung Frank Chang University of California, Los Angeles
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
Lei He
Lei He University of California, Los Angeles
Guangyu Sun
Guangyu Sun Peking University
Tony F. Chan
Tony F. Chan University of California, Los Angeles
Yun Liang
Yun Liang Peking University
Majid Sarrafzadeh
Majid Sarrafzadeh University of California, Los Angeles

External Links

Wikipedia of Jason Cong Personal website of Jason Cong Google Scholar page

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Best Scientists Citing Jason Cong

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Publications: 92

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Publications: 84

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Publications: 81

Lei He

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Publications: 79

Sung Kyu Lim

Sung Kyu Lim

Georgia Institute of Technology

Publications: 76

Igor L. Markov

Igor L. Markov

Synopsys (United States)

Publications: 73

Jiang Hu

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Publications: 72

D. F. Wong

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Publications: 60

Yuan Xie

Yuan Xie

Hong Kong University of Science and Technology

Publications: 60

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Malgorzata Marek-Sadowska

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Publications: 58

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Wayne Luk

Imperial College London

Publications: 57

Chung-Kuan Cheng

Chung-Kuan Cheng

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