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Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 119 151 146 19 17 845 59739

Yaochu Jin publications per year

The chart shows the history of publications by Yaochu Jin between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yaochu Jin published across 32 years, from 1994 to 2025, averaging 32 papers a year. Output peaked at 113 publications in 2024. 201 of the 1,023 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 113. Peak 113 publications in 2024. 1994: 1 publication 1995: 2 publications 1996: 0 publications 1997: 0 publications 1998: 2 publications 1999: 7 publications 2000: 5 publications 2001: 4 publications 2002: 6 publications 2003: 21 publications 2004: 8 publications 2005: 24 publications 2006: 18 publications 2007: 16 publications 2008: 20 publications 2009: 24 publications 2010: 16 publications 2011: 23 publications 2012: 17 publications 2013: 23 publications 2014: 26 publications 2015: 29 publications 2016: 37 publications 2017: 47 publications 2018: 46 publications 2019: 64 publications 2020: 69 publications 2021: 101 publications 2022: 58 publications 2023: 108 publications 2024: 113 publications 2025: 88 publications
1994 2025

1,023 publications in total across all disciplines

View publications per year as a table
Yaochu Jin: publications per year, 1994 to 2025
Year Publications
1994 1
1995 2
1996 0
1997 0
1998 2
1999 7
2000 5
2001 4
2002 6
2003 21
2004 8
2005 24
2006 18
2007 16
2008 20
2009 24
2010 16
2011 23
2012 17
2013 23
2014 26
2015 29
2016 37
2017 47
2018 46
2019 64
2020 69
2021 101
2022 58
2023 108
2024 113
2025 88
Total 1,023
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Yaochu Jin 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 Yaochu Jin 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, 842–851 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: 845 publications — 99th percentile

99% 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
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 10 845
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
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Yaochu Jin 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 Yaochu Jin 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, 118–119 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: 119 D-Index — 99th percentile

99% 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
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 15 119
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2021 - Member of Academia Europaea
  • 2021 - Alexander von Humboldt Professorship for Artificial Intelligence
  • 2021 - Alexander von Humboldt Professorship for Artificial Intelligence
  • 2016 - IEEE Fellow For contributions to evolutionary optimization

Overview

Yaochu Jin is affiliated with Westlake University in China and has a primary research focus within the field of computer science. Their scholarly contributions span several subfields, particularly artificial intelligence, computational theory and mathematics, computer vision and pattern recognition, nuclear and high energy physics, and industrial and manufacturing engineering.

Their work extensively covers advanced topics such as:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Privacy-Preserving Technologies in Data
  • Advanced Neural Network Applications
  • Machine Learning and Data Classification
  • Optimal Experimental Design Methods

Yaochu Jin has published research in a range of academic venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Neurocomputing

Key recent papers include:

  • "Federated learning on non-IID data: A survey" (2021, Neurocomputing)
  • "A Coevolutionary Framework for Constrained Multiobjective Optimization Problems" (2020, IEEE Transactions on Evolutionary Computation)
  • "Artificial intelligence in recommender systems" (2020, Complex & Intelligent Systems)
  • "Evolutionary Large-Scale Multi-Objective Optimization: A Survey" (2021, ACM Computing Surveys)
  • "Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization" (2021, IEEE Transactions on Cybernetics)

Yaochu Jin's frequent coauthors include:

  • Handing Wang
  • Ran Cheng
  • M. Iwasaki
  • Kay Chen Tan
  • Xingyi Zhang

The researcher has contributed to several book publications primarily through Springer Nature and Springer Science+Business Media. Notable titles include:

  • Data-Driven Evolutionary Optimization (2021)
  • Federated Learning (2022)
  • Rescheduling Under Disruptions in Manufacturing Systems (2020)
  • Intelligence Science IV (2022)
  • Computational Evolution of Neural and Morphological Development (2023)

Best Publications

  • PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

    Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin

  • Evolutionary optimization in uncertain environments-a survey

    Yaochu Jin;J. Branke

  • A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

    Ran Cheng;Yaochu Jin;Markus Olhofer;Bernhard Sendhoff

  • A comprehensive survey of fitness approximation in evolutionary computation

    Y. Jin

  • Surrogate-assisted evolutionary computation: Recent advances and future challenges

    Yaochu Jin

  • A Competitive Swarm Optimizer for Large Scale Optimization

    Ran Cheng;Yaochu Jin

  • RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm

    Qingfu Zhang;Aimin Zhou;Yaochu Jin

  • A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

    Xingyi Zhang;Ye Tian;Yaochu Jin

  • Federated learning on non-IID data: A survey

    Hangyu Zhu;Jinjin Xu;Shiqing Liu;Yaochu Jin

  • A framework for evolutionary optimization with approximate fitness functions

    Yaochu Jin;M. Olhofer;B. Sendhoff

  • A social learning particle swarm optimization algorithm for scalable optimization

    Ran Cheng;Yaochu Jin

  • A Survey of Deep Learning Applications to Autonomous Vehicle Control

    Sampo Kuutti;Richard Bowden;Yaochu Jin;Phil Barber

  • An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

    Ye Tian;Ran Cheng;Xingyi Zhang;Fan Cheng

  • Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement

    Yaochu Jin

  • A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization

    Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin

  • Data-Driven Evolutionary Optimization: An Overview and Case Studies

    Yaochu Jin;Handing Wang;Tinkle Chugh;Dan Guo

  • A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

    Tinkle Chugh;Yaochu Jin;Kaisa Miettinen;Jussi Hakanen

  • An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization

    Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin

  • Introduction to Machine Learning

    Yaochu Jin;Handing Wang;Chaoli Sun

  • Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

    Yaochu Jin;B. Sendhoff

  • PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

    Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin

Frequent Co-Authors

Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Xingyi Zhang
Xingyi Zhang Anhui University
Xin Yao
Xin Yao Lingnan University
Handing Wang
Handing Wang Xidian University
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Jianchao Zeng
Jianchao Zeng North University of China
Shengxiang Yang
Shengxiang Yang De Montfort University
Tianyou Chai
Tianyou Chai Northeastern University
Jürgen Branke
Jürgen Branke University of Warwick

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