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Cheng Wu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 42 8448 8210 1100 1094 214 6837

Cheng Wu publications per year

The chart shows the history of publications by Cheng Wu between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Cheng Wu published across 30 years, from 1996 to 2025, averaging 9.3 papers a year. Output peaked at 31 publications in 2023. 15 of the 280 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2023. 1996: 1 publication 1997: 1 publication 1998: 0 publications 1999: 5 publications 2000: 1 publication 2001: 4 publications 2002: 7 publications 2003: 4 publications 2004: 6 publications 2005: 5 publications 2006: 16 publications 2007: 7 publications 2008: 20 publications 2009: 9 publications 2010: 16 publications 2011: 10 publications 2012: 17 publications 2013: 13 publications 2014: 7 publications 2015: 12 publications 2016: 9 publications 2017: 9 publications 2018: 6 publications 2019: 17 publications 2020: 6 publications 2021: 7 publications 2022: 19 publications 2023: 31 publications 2024: 10 publications 2025: 5 publications
1996 2025

280 publications in total across all disciplines

View publications per year as a table
Cheng Wu: publications per year, 1996 to 2025
Year Publications
1996 1
1997 1
1998 0
1999 5
2000 1
2001 4
2002 7
2003 4
2004 6
2005 5
2006 16
2007 7
2008 20
2009 9
2010 16
2011 10
2012 17
2013 13
2014 7
2015 12
2016 9
2017 9
2018 6
2019 17
2020 6
2021 7
2022 19
2023 31
2024 10
2025 5
Total 280
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Cheng Wu 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 Cheng Wu 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, 212–221 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: 214 publications — 51st percentile

51% 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
212–221 490 214
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
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

Cheng Wu 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 Cheng Wu 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

Cheng Wu is affiliated with Tsinghua University in China, where their research primarily spans the fields of Engineering and Computer Science. Their work encompasses subfields such as Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering, Surgery, and Computer Vision and Pattern Recognition.

The scientist's research covers a variety of topics, including:

  • Reinforcement Learning in Robotics
  • Explainable Artificial Intelligence (XAI)
  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Recommender Systems and Techniques
  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems

Cheng Wu has contributed to several publication venues, with a notable presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • Neurocomputing
  • Digital Signal Processing

Frequent collaborators include Gao Huang, Shiji Song, Yulin Wang, Chongdang Liu, and Linxuan Zhang.

Selected recent publications by Cheng Wu include:

  • "Regularizing Deep Networks with Semantic Data Augmentation," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism," 2020, Neurocomputing
  • "Itaconic acid-based hyperbranched polymer toughened epoxy resins with rapid stress relaxation, superb solvent resistance and closed-loop recyclability," 2022, Green Chemistry
  • "Closed-Loop Recycling of Tough and Flame-Retardant Epoxy Resins," 2023, Macromolecules
  • "Self-Supervised Discovering of Interpretable Features for Reinforcement Learning," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Semi-Supervised and Unsupervised Extreme Learning Machines

    Gao Huang;Shiji Song;Jatinder N. D. Gupta;Cheng Wu

  • Carbon-efficient scheduling of flow shops by multi-objective optimization

    Jian-Ya Ding;Shiji Song;Cheng Wu

  • Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

    Shuang Li;Shiji Song;Gao Huang;Zhengming Ding

  • Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches

    Jian-Ya Ding;Shiji Song;Rui Zhang;Raymond Chiong

  • A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset.

    Tianyu Liu;Wenhui Fan;Cheng Wu

  • Reduction method for concept lattices based on rough set theory and its application

    Min Liu;Mingwen Shao;Wenxiu Zhang;Cheng Wu

  • Regularizing Deep Networks with Semantic Data Augmentation.

    Yulin Wang;Gao Huang;Shiji Song;Xuran Pan

  • Depth Control of Model-Free AUVs via Reinforcement Learning

    Hui Wu;Shiji Song;Keyou You;Cheng Wu

  • An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem

    Jian-Ya Ding;Shiji Song;Jatinder N.D. Gupta;Rui Zhang

  • A hybrid artificial bee colony algorithm for the job shop scheduling problem

    Rui Zhang;Shiji Song;Cheng Wu

  • A hybrid immune simulated annealing algorithm for the job shop scheduling problem

    Rui Zhang;Cheng Wu

  • Efficient composite heuristics for total flowtime minimization in permutation flow shops

    Xiaoping Li;Qian Wang;Cheng Wu

  • Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs

    Pei Xie;Keyou You;Roberto Tempo;Shiji Song

  • Domain Space Transfer Extreme Learning Machine for Domain Adaptation

    Yiming Chen;Shiji Song;Shuang Li;Le Yang

  • A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardinessobjective

    Rui Zhang;Cheng Wu

  • Impact of loss aversion on the newsvendor game with product substitution

    Wei Liu;Shiji Song;Cheng Wu

  • A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms

    Yiming Chen;Shiji Song;Shuang Li;Cheng Wu

  • Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles

    Wenjie Shi;Shiji Song;Cheng Wu;C. L. Philip Chen

  • Supply chain coordination of loss-averse newsvendor with contract

    Long Zhang;Shiji Song;Cheng Wu

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

  • Heuristic for no-wait flow shops with makespan minimization

    Xiaoping Li;Qian Wang;Cheng Wu

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

Frequent Co-Authors

Shiji Song
Shiji Song Tsinghua University
Keyou You
Keyou You Tsinghua University
Rui Zhang
Rui Zhang National University of Singapore
Gao Huang
Gao Huang Tsinghua University
Fan Zhang
Fan Zhang Chinese Academy of Sciences
Ke Xu
Ke Xu Tsinghua University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville
Pei-Chann Chang
Pei-Chann Chang Yuan Ze University
Degang Chen
Degang Chen North China Electric Power University
Wei Tan
Wei Tan Citadel LLC

External Links

Personal website of Cheng Wu

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Best Scientists Citing Cheng Wu

Shiji Song

Shiji Song

Tsinghua University

Publications: 49

Quan-Ke Pan

Quan-Ke Pan

Shanghai University

Publications: 40

Keyou You

Keyou You

Tsinghua University

Publications: 32

Liang Gao

Liang Gao

Huazhong University of Science and Technology

Publications: 26

Guang-Bin Huang

Guang-Bin Huang

Nanyang Technological University

Publications: 23

Ling Wang

Ling Wang

Tsinghua University

Publications: 18

Gao Huang

Gao Huang

Tsinghua University

Publications: 18

Junqing Li

Junqing Li

Liaocheng University

Publications: 17

Kaizhou Gao

Kaizhou Gao

Macau University of Science and Technology

Publications: 16

Raymond Chiong

Raymond Chiong

University of Newcastle Australia

Publications: 15

Mengjie Zhang

Mengjie Zhang

Victoria University of Wellington

Publications: 15

Su Nguyen

Su Nguyen

RMIT University

Publications: 14

Chi Harold Liu

Chi Harold Liu

Beijing Institute of Technology

Publications: 13

Wei-Zhi Wu

Wei-Zhi Wu

Zhejiang Ocean University

Publications: 13

Lihua Xie

Lihua Xie

Nanyang Technological University

Publications: 11

Feng Chu

Feng Chu

University of Évry Val d'Essonne

Publications: 11

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King Abdullah University of Science and Technology

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Nancy Grulke

US Forest Service

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