World's Best Scientists 2026 revealed!
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Leibo Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 42 8357 8121 1088 1082 519 7761

Leibo Liu publications per year

The chart shows the history of publications by Leibo Liu between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Leibo Liu published across 25 years, from 2002 to 2026, averaging 23.4 papers a year. Output peaked at 65 publications in 2018. 20 of the 584 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 65. Peak 65 publications in 2018. 2002: 1 publication 2003: 4 publications 2004: 1 publication 2005: 6 publications 2006: 1 publication 2007: 4 publications 2008: 5 publications 2009: 11 publications 2010: 17 publications 2011: 10 publications 2012: 18 publications 2013: 28 publications 2014: 36 publications 2015: 54 publications 2016: 37 publications 2017: 33 publications 2018: 65 publications 2019: 53 publications 2020: 30 publications 2021: 39 publications 2022: 43 publications 2023: 48 publications 2024: 20 publications 2025: 18 publications 2026: 2 publications
2002 2026

584 publications in total across all disciplines

View publications per year as a table
Leibo Liu: publications per year, 2002 to 2026
Year Publications
2002 1
2003 4
2004 1
2005 6
2006 1
2007 4
2008 5
2009 11
2010 17
2011 10
2012 18
2013 28
2014 36
2015 54
2016 37
2017 33
2018 65
2019 53
2020 30
2021 39
2022 43
2023 48
2024 20
2025 18
2026 2
Total 584
Download as CSV

Leibo Liu 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 Leibo Liu 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, 512–521 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: 519 publications — 94th percentile

94% 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 57 519
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
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

Leibo Liu 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 Leibo Liu 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, 42–43 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: 42 D-Index — 43rd percentile

43% 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 42
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
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

Overview

Leibo Liu is affiliated with Tsinghua University in China and has a research portfolio encompassing computer science and engineering, with a specific focus on electrical and electronic engineering and artificial intelligence. Their work extends into hardware and architecture, computer vision and pattern recognition, and computer networks and communications.

Their recent publications include the following papers:

  • Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications (2020), published in Proceedings of the IEEE
  • Highly Efficient Architecture of NewHope-NIST on FPGA using Low-Complexity NTT/INTT (2020), published in IACR Transactions on Cryptographic Hardware and Embedded Systems
  • A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration (2022), published in 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • LWRpro: An Energy-Efficient Configurable Crypto-Processor for Module-LWR (2021), published in IEEE Transactions on Circuits and Systems I Regular Papers
  • A Compact and High-Performance Hardware Architecture for CRYSTALS-Dilithium (2021), published in IACR Transactions on Cryptographic Hardware and Embedded Systems

They frequently collaborate with several co-authors, including:

  • Shaojun Wei (70 joint publications)
  • Shouyi Yin (55 joint publications)
  • Jianfeng Zhu (18 joint publications)
  • Bohan Yang (15 joint publications)
  • Wenping Zhu (14 joint publications)

Their research is frequently published in venues such as:

  • IEEE Journal of Solid-State Circuits (19 publications)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (13 publications)
  • IEEE Transactions on Circuits and Systems I Regular Papers (12 publications)
  • IACR Transactions on Cryptographic Hardware and Embedded Systems (11 publications)
  • IEEE Transactions on Parallel and Distributed Systems (7 publications)

Leibo Liu's main research fields are computer science and engineering, while their subfields of study emphasize electrical and electronic engineering, artificial intelligence, hardware and architecture, computer vision and pattern recognition, and computer networks and communications.

The main topics explored in their research include:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • Coding Theory and Cryptography
  • Cryptographic Implementations and Security
  • Embedded Systems Design Techniques

Best Publications

  • Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns

    Fengbin Tu;Shouyi Yin;Peng Ouyang;Shibin Tang

  • Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications

    Honglan Jiang;Francisco Javier Hernandez Santiago;Hai Mo;Leibo Liu

  • A Review, Classification, and Comparative Evaluation of Approximate Arithmetic Circuits

    Honglan Jiang;Cong Liu;Leibo Liu;Fabrizio Lombardi

  • FP-BNN

    Shuang Liang;Shouyi Yin;Leibo Liu;Wayne Luk

  • Analog circuit optimization system based on hybrid evolutionary algorithms

    Bo Liu;Yan Wang;Zhiping Yu;Leibo Liu

  • A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications

    Shouyi Yin;Peng Ouyang;Shibin Tang;Fengbin Tu

  • A Survey of Coarse-Grained Reconfigurable Architecture and Design: Taxonomy, Challenges, and Applications

    Leibo Liu;Jianfeng Zhu;Zhaoshi Li;Yanan Lu

  • A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration

    Unknown

  • Highly Efficient Architecture of NewHope-NIST on FPGA using Low-Complexity NTT/INTT

    Neng Zhang;Bohan Yang;Chen Chen;Shouyi Yin

  • A 1.06-to-5.09 TOPS/W reconfigurable hybrid-neural-network processor for deep learning applications

    Shouyi Yin;Peng Ouyang;Shibin Tang;Fengbin Tu

  • Multibank memory optimization for parallel data access in multiple data arrays

    Shouyi Yin;Zhicong Xie;Chenyue Meng;Leibo Liu

  • A 5.1pJ/Neuron 127.3us/Inference RNN-based Speech Recognition Processor using 16 Computing-in-Memory SRAM Macros in 65nm CMOS

    Ruiqi Guo;Yonggang Liu;Shixuan Zheng;Ssu-Yen Wu

  • FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction

    Unknown

  • Polyhedral model based mapping optimization of loop nests for CGRAs

    Dajiang Liu;Shouyi Yin;Leibo Liu;Shaojun Wei

  • A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes

    Unknown

  • RANA: towards efficient neural acceleration with refresh-optimized embedded DRAM

    Fengbin Tu;Weiwei Wu;Shouyi Yin;Leibo Liu

  • A Compact and High-Performance Hardware Architecture for CRYSTALS-Dilithium

    Cankun Zhao;Neng Zhang;Hanning Wang;Bohan Yang

  • A 141 UW, 2.46 PJ/Neuron Binarized Convolutional Neural Network Based Self-Learning Speech Recognition Processor in 28NM CMOS

    Shouyi Yin;Peng Ouyang;Shixuan Zheng;Dandan Song

  • An Implementation of Fast-Locking and Wide-Range 11-bit Reversible SAR DLL

    Lei Wang;Leibo Liu;Hongyi Chen

  • A VLSI architecture of JPEG2000 encoder

    Leibo Liu;Ning Chen;Hongying Meng;Li Zhang

  • ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration

    Unknown

  • LWRpro: An Energy-Efficient Configurable Crypto-Processor for Module-LWR

    Yihong Zhu;Min Zhu;Bohan Yang;Wenping Zhu

  • 9.2A 28nm 12.1TOPS/W Dual-Mode CNN Processor Using Effective-Weight-Based Convolution and Error-Compensation-Based Prediction

    Huiyu Mo;Wenping Zhu;Wenjing Hu;Guangbin Wang

  • An Energy-Efficient Reconfigurable Processor for Binary-and Ternary-Weight Neural Networks With Flexible Data Bit Width

    Shouyi Yin;Peng Ouyang;Jianxun Yang;Tianyi Lu

  • A High-Performance and Energy-Efficient FIR Adaptive Filter Using Approximate Distributed Arithmetic Circuits

    Honglan Jiang;Leibo Liu;Pieter P. Jonker;Duncan G. Elliott

Frequent Co-Authors

Shaojun Wei
Shaojun Wei Tsinghua University
Shouyi Yin
Shouyi Yin Tsinghua University
Jie Han
Jie Han University of Alberta
Fabrizio Lombardi
Fabrizio Lombardi Northeastern University
Zhihua Wang
Zhihua Wang Tsinghua University
Hongying Meng
Hongying Meng Brunel University London
Sheng Zhou
Sheng Zhou Tsinghua University
Meng-Fan Chang
Meng-Fan Chang National Tsing Hua University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Yiyu Shi
Yiyu Shi University of Notre Dame

External Links

Personal website of Leibo Liu

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Best Scientists Citing Leibo Liu

Jie Han

Jie Han

University of Alberta

Publications: 18

Lukas Sekanina

Lukas Sekanina

Brno University of Technology

Publications: 14

Zhongfeng Wang

Zhongfeng Wang

Nanjing University

Publications: 13

Weiqiang Liu

Weiqiang Liu

Nanjing University of Aeronautics and Astronautics

Publications: 11

Muhammad Shafique

Muhammad Shafique

New York University Abu Dhabi

Publications: 10

Yuan Xie

Yuan Xie

Hong Kong University of Science and Technology

Publications: 9

Jian Wang

Jian Wang

Dalhousie University

Publications: 9

Rajib Kar

Rajib Kar

National Institute of Technology Durgapur

Publications: 9

Fabrizio Lombardi

Fabrizio Lombardi

Northeastern University

Publications: 9

Xiaohu You

Xiaohu You

Southeast University

Publications: 8

Shouyi Yin

Shouyi Yin

Tsinghua University

Publications: 8

Durbadal Mandal

Durbadal Mandal

National Institute of Technology Durgapur

Publications: 8

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 7

Yun Liang

Yun Liang

Peking University

Publications: 7

Shaojun Wei

Shaojun Wei

Tsinghua University

Publications: 7

Georges Gielen

Georges Gielen

KU Leuven

Publications: 7

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