World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 76 1359 1317 183 181 290 19561

Gang Kou publications per year

The chart shows the history of publications by Gang Kou between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gang Kou published across 23 years, from 2003 to 2025, averaging 20.1 papers a year. Output peaked at 52 publications in 2024. 92 of the 463 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2024. 2003: 3 publications 2004: 3 publications 2005: 6 publications 2006: 9 publications 2007: 8 publications 2008: 4 publications 2009: 8 publications 2010: 6 publications 2011: 32 publications 2012: 19 publications 2013: 19 publications 2014: 17 publications 2015: 12 publications 2016: 20 publications 2017: 8 publications 2018: 22 publications 2019: 25 publications 2020: 31 publications 2021: 43 publications 2022: 33 publications 2023: 43 publications 2024: 52 publications 2025: 40 publications
2003 2025

463 publications in total across all disciplines

View publications per year as a table
Gang Kou: publications per year, 2003 to 2025
Year Publications
2003 3
2004 3
2005 6
2006 9
2007 8
2008 4
2009 8
2010 6
2011 32
2012 19
2013 19
2014 17
2015 12
2016 20
2017 8
2018 22
2019 25
2020 31
2021 43
2022 33
2023 43
2024 52
2025 40
Total 463
Download as CSV

Gang Kou 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 Gang Kou 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, 282–291 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: 290 publications — 72nd percentile

72% 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
282–291 320 290
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
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

Gang Kou 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 Gang Kou 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, 76–77 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: 76 D-Index — 91st percentile

91% 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 76
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

Gang Kou is a researcher affiliated with Southwestern University of Finance and Economics in China. Their work primarily spans the field of Computer Science with a significant focus on Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics, Statistical and Nonlinear Physics, and Accounting.

Their research covers various specialized topics, including:

  • Multi-Criteria Decision Making
  • Financial Distress and Bankruptcy Prediction
  • Imbalanced Data Classification Techniques
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Rough Sets and Fuzzy Logic
  • Efficiency Analysis Using DEA

Gang Kou has contributed frequently to academic journals and conferences. The primary venues for their publications include:

  • Financial Innovation
  • Information Sciences
  • Applied Soft Computing
  • Information Fusion
  • International Journal of Information Technology & Decision Making

Among recent papers authored by Gang Kou are:

  • Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach, 2021, Financial Innovation
  • Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection, 2020, Decision Support Systems

Gang Kou has collaborated extensively with frequent co-authors including:

  • Yi Peng
  • Hui Xiao
  • Hasan Dınçer
  • Serhat Yüksel
  • Enrique Herrera-Viedma

The scholar has also contributed to book publications, including a book titled Innovative Approaches to Decision Making, published by World Scientific in 2024.

Best Publications

  • Evaluation of clustering algorithms for financial risk analysis using MCDM methods

    Gang Kou;Yi Peng;Guoxun Wang

  • EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

    Gang Kou;Yanqun Lu;Yi Peng;Yong Shi

  • A systematic review of blockchain

    Min Xu;Xingtong Chen;Gang Kou

  • Consensus Reaching in Social Network Group Decision Making: Research Paradigms and Challenges

    Yucheng Dong;Quanbo Zha;Hengjie Zhang;Gang Kou

  • A descriptive framework for the field of data mining and knowledge discovery

    Yong Shi;Zhengxin Chen;Yi Peng

  • Pairwise comparison matrix in multiple criteria decision making

    Gang Kou;Daji Ergu;Yang Chen;Changsheng Lin

  • A review on trust propagation and opinion dynamics in social networks and group decision making frameworks

    Raquel Ureña;Gang Kou;Yucheng Dong;Francisco Chiclana;Francisco Chiclana

  • Soft consensus cost models for group decision making and economic interpretations

    Huanhuan Zhang;Gang Kou;Yi Peng

  • IT capabilities and product innovation performance

    Yang Chen;Yi Wang;Saggi Nevo;Jose Benitez-Amado

  • A cosine maximization method for the priority vector derivation in AHP

    Gang Kou;Changsheng Lin;Changsheng Lin

  • The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

    Daji Ergu;Gang Kou;Yi Peng;Yong Shi

  • A survey on the fusion process in opinion dynamics

    Yucheng Dong;Min Zhan;Gang Kou;Zhaogang Ding

  • An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges

    Hengjie Zhang;Sihai Zhao;Gang Kou;Cong-Cong Li

  • Optimization Based Data Mining: Theory and Applications

    Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

  • Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion

    Xiangrui Chao;Gang Kou;Yi Peng;Enrique Herrera Viedma;Enrique Herrera Viedma

  • A Group Decision Making Model for Integrating Heterogeneous Information

    Guangxu Li;Gang Kou;Yi Peng

  • Enhancing data consistency in decision matrix: Adapting Hadamard model to mitigate judgment contradiction

    Gang Kou;Daji Ergu;Daji Ergu;Jennifer Shang

  • Machine learning methods for systemic risk analysis in financial sectors

    Gang Kou;Xiangrui Chao;Yi Peng;Fawaz E. Alsaadi

  • A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP

    Daji Ergu;Daji Ergu;Gang Kou;Yi Peng;Yong Shi;Yong Shi

Frequent Co-Authors

Yong Shi
Yong Shi Chinese Academy of Sciences
Yi Peng
Yi Peng University of Electronic Science and Technology of China
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Yucheng Dong
Yucheng Dong Sichuan University
Francisco Chiclana
Francisco Chiclana De Montfort University
Jennifer Shang
Jennifer Shang University of Pittsburgh
Hengjie Zhang
Hengjie Zhang Hohai University
Juan M. Corchado
Juan M. Corchado University of Salamanca
Shui Yu
Shui Yu University of Technology Sydney

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science studies in the USA often leads to diverse online degree and career options. Students interested in broadening their skills might consider online physics degrees, which combine foundational science knowledge with analytical thinking advantageous in tech fields.

For those focused on data, seeking out what is the cheapest data science course in the us? can be a cost-effective approach to gaining expertise in one of the fastest-growing STEM areas. Data Science blends statistics, programming, and machine learning, opening doors to numerous high-demand roles.

Technology enthusiasts aiming to specialize further may opt for an online master’s in electrical engineering degree. This advanced option is perfect for deepening technical know-how and enhancing job prospects in engineering sectors.

Not everyone needs a four-year degree to find rewarding tech work. There are also 3-month certificate programs that pay well, offering practical, industry-recognized skills that can help you launch your career in a short time.

Best Scientists Citing Gang Kou

Trending Scientists

Recently Published Articles