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Deming Chen

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 53 2432 2329 939 878 299 10097
Computer Science 57 3857 3748 1826 1760 318 12434

Deming Chen publications per year

The chart shows the history of publications by Deming Chen between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Deming Chen published across 38 years, from 1989 to 2026, averaging 10.2 papers a year. Output peaked at 46 publications in 2021. 13 of the 389 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2021. 1989: 1 publication 1990: 0 publications 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 3 publications 2004: 4 publications 2005: 6 publications 2006: 7 publications 2007: 9 publications 2008: 8 publications 2009: 17 publications 2010: 15 publications 2011: 13 publications 2012: 14 publications 2013: 16 publications 2014: 20 publications 2015: 18 publications 2016: 27 publications 2017: 19 publications 2018: 18 publications 2019: 32 publications 2020: 14 publications 2021: 46 publications 2022: 20 publications 2023: 22 publications 2024: 24 publications 2025: 11 publications 2026: 2 publications
1989 2026

389 publications in total across all disciplines

View publications per year as a table
Deming Chen: publications per year, 1989 to 2026
Year Publications
1989 1
1990 0
1991 1
1992 0
1993 0
1994 0
1995 0
1996 1
1997 0
1998 0
1999 0
2000 0
2001 0
2002 1
2003 3
2004 4
2005 6
2006 7
2007 9
2008 8
2009 17
2010 15
2011 13
2012 14
2013 16
2014 20
2015 18
2016 27
2017 19
2018 18
2019 32
2020 14
2021 46
2022 20
2023 22
2024 24
2025 11
2026 2
Total 389
Download as CSV

Deming Chen publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Deming Chen sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 294–313 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 299 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300 299
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Deming Chen D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Deming Chen sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 53 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130 53
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to FPGA high-level synthesis

Overview

Deming Chen is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on computer vision, artificial intelligence, hardware design, and network systems.

Their recent publication record includes the following papers:

  • Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition, 2020, IEEE Transactions on Cognitive and Developmental Systems
  • YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems, 2021, IEEE Transactions on Smart Grid
  • Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign, 2021, IEEE Design and Test
  • Protectin conjugates in tissue regeneration 1 alleviates sepsis-induced acute lung injury by inhibiting ferroptosis, 2023, Journal of Translational Medicine

The frequent co-authors collaborating with Deming Chen include:

  • Jinjun Xiong
  • Yao Chen
  • Xiaofan Zhang
  • Cong Hao
  • Hanchen Ye

The venues where they most often publish are:

  • arXiv (Cornell University)
  • Journal of Physics Conference Series
  • IEEE Transactions on Computers
  • ACM Transactions on Reconfigurable Technology and Systems
  • IEEE Design and Test

Deming Chen's main fields of study are Computer Science and Engineering. Within these fields, they have a significant number of publications across various subfields, such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

The major topics of their research work include:

  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • Embedded Systems Design Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Memory and Neural Computing
  • CCD and CMOS Imaging Sensors
  • Interconnection Networks and Systems

In 2019, Deming Chen was recognized as an IEEE Fellow for contributions to FPGA high-level synthesis.

Best Publications

  • CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

    Yuhong Li;Yuhong Li;Xiaofan Zhang;Deming Chen

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers

    M. Berry;D. Chen;P. Koss;D. Kuck

  • DNNBuilder: an automated tool for building high-performance DNN hardware accelerators for FPGAs

    Xiaofan Zhang;Junsong Wang;Chao Zhu;Yonghua Lin

  • 3-D nFPGA: A Reconfigurable Architecture for 3-D CMOS/Nanomaterial Hybrid Digital Circuits

    Chen Dong;Deming Chen;S. Haruehanroengra;Wei Wang

  • Architecture evaluation for power-efficient FPGAs

    Fei Li;Deming Chen;Lei He;Jason Cong

  • FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs

    Alexandros Papakonstantinou;Karthik Gururaj;John A. Stratton;Deming Chen

  • FPGA Design Automation: A Survey

    Deming Chen;Jason Cong;Peichen Pan

  • DAOmap: a depth-optimal area optimization mapping algorithm for FPGA designs

    D. Chen;J. Cong

  • Power modeling and characteristics of field programmable gate arrays

    Fei Li;Y. Lin;Lei He;Deming Chen

  • Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

    Prakhar Ganesh;Yao Chen;Xin Lou;Mohammad Ali Khan

  • FPGA/DNN Co-Design: An Efficient Design Methodology for 1oT Intelligence on the Edge

    Cong Hao;Xiaofan Zhang;Yuhong Li;Sitao Huang

  • BLESS: Bloom filter-based error correction solution for high-throughput sequencing reads

    Yun Heo;Xiao Long Wu;Deming Chen;Jian Ma

  • Performance and power evaluation of a 3D CMOS/nanomaterial reconfigurable architecture

    Chen Dong;Deming Chen;Sansiri Tanachutiwat;Wei Wang

  • Reconfigurable circuit design with nanomaterials

    Chen Dong;Scott Chilstedt;Deming Chen

  • Low-power high-level synthesis for FPGA architectures

    Deming Chen;Jason Cong;Yiping Fan

  • Blueshift: Designing processors for timing speculation from the ground up.

    Brian Greskamp;Lu Wan;Ulya R. Karpuzcu;Jeffrey J. Cook

  • Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs

    Yao Chen;Jiong He;Xiaofan Zhang;Cong Hao

  • Accelerating distributed reinforcement learning with in-switch computing

    Youjie Li;Iou-Jen Liu;Yifan Yuan;Deming Chen

  • An efficient compiler framework for cache bypassing on GPUs

    Xiaolong Xie;Yun Liang;Guangyu Sun;Deming Chen

  • High-level synthesis: productivity, performance, and software constraints

    Yun Liang;Kyle Rupnow;Yinan Li;Dongbo Min

Frequent Co-Authors

Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Jason Cong
Jason Cong University of California, Los Angeles
Yun Liang
Yun Liang Peking University
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign
Zbigniew Kalbarczyk
Zbigniew Kalbarczyk University of Illinois at Urbana-Champaign
Ravishankar K. Iyer
Ravishankar K. Iyer University of Illinois at Urbana-Champaign
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Jinjun Xiong
Jinjun Xiong University at Buffalo, State University of New York
Lei He
Lei He University of California, Los Angeles
Louis-Noël Pouchet
Louis-Noël Pouchet Colorado State University

External Links

Personal website of Deming Chen Google Scholar page

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Related Online Degrees & Career Pathways

For those interested in advancing their education alongside a degree in Electronics and Electrical Engineering, exploring related fields can open new career pathways. One valuable option is the best online instructional design master's programs, which combine technical skills with educational expertise, ideal for professionals aiming to develop training materials or e-learning systems.

Many students today are drawn to flexible degree options like the competency based masters degree. This format allows learners to progress at their own pace by demonstrating mastery of specific skills, making it perfect for working professionals balancing study with other commitments.

Access to education is crucial, especially for unique communities such as military families. Online programs catering specifically to military personnel and their families are growing in number. If you belong to this group, you might consider programs recognized as online degrees for military spouses, which offer tailored support and flexibility.

Additionally, many online colleges now offer online colleges with flexible start dates. This flexibility enables students to begin their studies at times that best suit their personal schedules, which is especially useful for managing the demands of a technical degree alongside work or family.

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