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Bin Hu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 73 1611 1564 216 214 572 18724

Bin Hu publications per year

The chart shows the history of publications by Bin Hu between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Bin Hu published across 32 years, from 1994 to 2025, averaging 37 papers a year. Output peaked at 268 publications in 2023. 248 of the 1,185 publications appeared in the last two years.

No. of publications
50 100 150 200 250
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 268. Peak 268 publications in 2023. 1994: 1 publication 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 0 publications 2003: 0 publications 2004: 2 publications 2005: 0 publications 2006: 9 publications 2007: 5 publications 2008: 8 publications 2009: 16 publications 2010: 22 publications 2011: 22 publications 2012: 9 publications 2013: 22 publications 2014: 24 publications 2015: 30 publications 2016: 39 publications 2017: 53 publications 2018: 51 publications 2019: 46 publications 2020: 61 publications 2021: 92 publications 2022: 154 publications 2023: 268 publications 2024: 120 publications 2025: 128 publications
1994 2025

1,185 publications in total across all disciplines

View publications per year as a table
Bin Hu: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 1
1997 0
1998 0
1999 1
2000 0
2001 1
2002 0
2003 0
2004 2
2005 0
2006 9
2007 5
2008 8
2009 16
2010 22
2011 22
2012 9
2013 22
2014 24
2015 30
2016 39
2017 53
2018 51
2019 46
2020 61
2021 92
2022 154
2023 268
2024 120
2025 128
Total 1,185
Download as CSV

Bin Hu 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 Bin Hu 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, 572–581 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: 572 publications — 95th percentile

95% 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 43 572
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

Bin Hu 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 Bin Hu 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, 72–73 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: 73 D-Index — 89th percentile

89% 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 73
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

Bin Hu is affiliated with Lanzhou University in China and specializes in research at the intersection of computer science and neuroscience. Their work encompasses a wide range of topics primarily centered on brain connectivity, brain-computer interfaces, and emotion recognition through neural data analysis.

The main fields of study for Bin Hu include:

  • Computer Science
  • Neuroscience

Their subfields of study highlight focused research areas such as:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging

Key research topics covered in Bin Hu's publications are:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Emotion and Mood Recognition
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications
  • Heart Rate Variability and Autonomic Control

Bin Hu has published extensively with frequent appearances in several key scientific venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Social Systems
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering

The scientist collaborates regularly with several co-authors, including:

  • Xiping Hu
  • Zhijun Yao
  • Kun Qian
  • Xiaowei Li
  • Björn W. Schuller

Notable recent publications by Bin Hu cover a variety of topics related to EEG-based emotion recognition and intelligent computing systems. Examples include:

  • "EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM," 2020, Applied Soft Computing
  • "EEG Based Emotion Recognition: A Tutorial and Review," 2022, ACM Computing Surveys
  • "Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach," 2020, IEEE Journal on Selected Areas in Communications
  • "Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Feature-level fusion approaches based on multimodal EEG data for depression recognition," 2020, Information Fusion

Best Publications

  • Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

    Chao Ren;Ning An;Jianzhou Wang;Lian Li

  • Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring

    Min Chen;Yujun Ma;Jeungeun Song;Chin-Feng Lai

  • EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

    Yongqiang Yin;Xiangwei Zheng;Bin Hu;Yuang Zhang

  • Differences in Critical Success Factors in ERP Systems Implementation in Australia and China: A Cultural Analysis

    Graeme G. Shanks;Anne N. Parr;Bin Hu;Brian J. Corbitt

  • Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Xiping Hu

  • Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

    Zhaolong Ning;Kaiyuan Zhang;Xiaojie Wang;Lei Guo

  • Exploring EEG Features in Cross-Subject Emotion Recognition

    Xiang Li;Dawei Song;Peng Zhang;Yazhou Zhang

  • Feature-level fusion approaches based on multimodal EEG data for depression recognition

    Hanshu Cai;Zhidiao Qu;Zhe Li;Yi Zhang

  • A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles

    Zhaolong Ning;Xiping Hu;Zhikui Chen;MengChu Zhou

  • A Joint Intrinsic-Extrinsic Prior Model for Retinex

    Bolun Cai;Xianming Xu;Kailing Guo;Kui Jia

  • Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.

    Min Li;Jian-er Chen;Jian-er Chen;Jian-xin Wang;Bin Hu

  • Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network

    Xiang Li;Dawei Song;Peng Zhang;Guangliang Yu

  • A Pervasive Approach to EEG-Based Depression Detection

    Hanshu Cai;Jiashuo Han;Yunfei Chen;Xiaocong Sha

  • Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System

    Zhaolong Ning;Kaiyuan Zhang;Xiaojie Wang;Mohammad S. Obaidat

  • Job scheduling algorithm based on Berger model in cloud environment

    Baomin Xu;Chunyan Zhao;Enzhao Hu;Bin Hu

  • Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

    Haocong Rao;Haocong Rao;Shihao Xu;Shihao Xu;Xiping Hu;Xiping Hu;Jun Cheng

  • Wearable Circular Ring Slot Antenna With EBG Structure for Wireless Body Area Network

    Guo-Ping Gao;Bin Hu;Shao-Fei Wang;Chen Yang

  • RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective

    Long Jin;Shuai Li;Bin Hu

  • Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators

    Tong Zhang;C. L. Philip Chen;Long Chen;Xiangmin Xu

  • Partial Computation Offloading and Adaptive Task Scheduling for 5G-enabled Vehicular Networks

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Xiping Hu

  • A Wearable PIFA With an All-Textile Metasurface for 5 GHz WBAN Applications

    Guo-Ping Gao;Chen Yang;Bin Hu;Rui-Feng Zhang

  • A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach

    Long Jin;Shuai Li;Bin Hu;Mei Liu

  • Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine

    Xiaowei Zhang;Jinyong Liu;Jian Shen;Shaojie Li

  • EEG-based mild depressive detection using feature selection methods and classifiers

    Xiaowei Li;Bin Hu;Shuting Sun;Hanshu Cai

Frequent Co-Authors

Xiping Hu
Xiping Hu Lanzhou University
Zhaolong Ning
Zhaolong Ning Chongqing University of Posts and Telecommunications
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Dawei Song
Dawei Song The Open University
Long Jin
Long Jin Lanzhou University
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Tingshao Zhu
Tingshao Zhu University of Chinese Academy of Sciences
Shuai Li
Shuai Li University of Oulu
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology

External Links

Personal website of Bin Hu Google Scholar page

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Best Scientists Citing Bin Hu

Long Jin

Long Jin

Lanzhou University

Publications: 47

Zhaolong Ning

Zhaolong Ning

Chongqing University of Posts and Telecommunications

Publications: 36

Shuai Li

Shuai Li

University of Oulu

Publications: 31

Yunong Zhang

Yunong Zhang

Sun Yat-sen University

Publications: 29

Lin Xiao

Lin Xiao

Hunan Normal University

Publications: 25

Anfeng Liu

Anfeng Liu

Central South University

Publications: 23

Lei Guo

Lei Guo

Beijing University of Posts and Telecommunications

Publications: 20

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 18

Jianzhou Wang

Jianzhou Wang

Macau University of Science and Technology

Publications: 17

Jianxin Wang

Jianxin Wang

Central South University

Publications: 16

M. Shamim Hossain

M. Shamim Hossain

King Saud University

Publications: 15

Ning Zhong

Ning Zhong

Maebashi Institute of Technology

Publications: 15

Dawei Song

Dawei Song

The Open University

Publications: 13

Leonard Barolli

Leonard Barolli

Fukuoka Institute of Technology

Publications: 13

Xiangjie Kong

Xiangjie Kong

Zhejiang University of Technology

Publications: 12

MengChu Zhou

MengChu Zhou

New Jersey Institute of Technology

Publications: 12

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