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Zhile Yang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9893 9612 1246 1240 148 5018

Zhile Yang publications per year

The chart shows the history of publications by Zhile Yang between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Zhile Yang published across 17 years, from 2009 to 2025, averaging 15.5 papers a year. Output peaked at 35 publications in 2021. 48 of the 264 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2021. 2009: 3 publications 2010: 2 publications 2011: 1 publication 2012: 1 publication 2013: 0 publications 2014: 10 publications 2015: 4 publications 2016: 11 publications 2017: 17 publications 2018: 18 publications 2019: 24 publications 2020: 29 publications 2021: 35 publications 2022: 32 publications 2023: 29 publications 2024: 30 publications 2025: 18 publications
2009 2025

264 publications in total across all disciplines

View publications per year as a table
Zhile Yang: publications per year, 2009 to 2025
Year Publications
2009 3
2010 2
2011 1
2012 1
2013 0
2014 10
2015 4
2016 11
2017 17
2018 18
2019 24
2020 29
2021 35
2022 32
2023 29
2024 30
2025 18
Total 264
Download as CSV

Zhile Yang 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 Zhile Yang 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, 142–151 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: 148 publications — 26th percentile

26% 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
142–151 609 148
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
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

Zhile Yang 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 Zhile Yang 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, 38–39 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: 39 D-Index — 33rd percentile

33% 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 39
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
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Zhile Yang is affiliated with the University of Chinese Academy of Sciences in China. Their research spans several fields, primarily focusing on engineering and computer science. Yang's work is notably situated within the subfields of Electrical and Electronic Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering, Control and Systems Engineering, and Computational Theory and Mathematics.

The scientist's main topics of research include metaheuristic optimization algorithms, smart grid energy management, advanced battery technologies, multi-objective optimization algorithms, energy load and power forecasting, electric vehicles and infrastructure, and electric power system optimization.

Zhile Yang has published numerous papers across a variety of scientific venues. The most frequent publication venues include Energy, SSRN Electronic Journal, Knowledge-Based Systems, Machines, and Energies. Some notable recent papers are:

  • "Natural language processing for smart construction: Current status and future directions" (2021, Automation in Construction)
  • "Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision" (2020, IEEE Transactions on Automation Science and Engineering)
  • "A review of the potential of district heating system in Northern China" (2021, Applied Thermal Engineering)
  • "A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting" (2020, Neurocomputing)
  • "A comprehensive review on deep learning approaches in wind forecasting applications" (2022, CAAI Transactions on Intelligence Technology)

Frequent collaborators in Yang's work include Yuanjun Guo, Chengke Wu, Qinge Xiao, Dongsheng Yang, and Kang Li.

In addition to journal articles, Zhile Yang has contributed to book publications. Two titles published by Springer Science+Business Media are "Recent Advances in Sustainable Energy and Intelligent Systems" (2021) and "Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops" (2020).

Best Publications

  • Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review

    Zhile Yang;Kang Li;Aoife Foley

  • Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation

    Kailong Liu;Xiaosong Hu;Zhile Yang;Yi Xie

  • Electric vehicle charging load forecasting: A comparative study of deep learning approaches

    Juncheng Zhu;Zhile Yang;Monjur Mourshed;Yuanjun Guo

  • Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey

    Haiping Ma;Shigen Shen;Mei Yu;Zhile Yang

  • Dynamic opposite learning enhanced teaching–learning-based optimization

    Yunlang Xu;Zhile Yang;Xiaoping Li;Huazhou Kang

  • Biogeography-Based Optimization: A 10-Year Review

    Haiping Ma;Dan Simon;Patrick Siarry;Zhile Yang

  • Short-Term Load Forecasting for Electric Vehicle Charging Stations Based on Deep Learning Approaches

    Juncheng Zhu;Zhile Yang;Yuanjun Guo;Jiankang Zhang

  • Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision

    Shuqiang Wang;Xiangyu Wang;Yong Hu;Yanyan Shen

  • A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads

    Zhile Yang;Kang Li;Qun Niu;Yusheng Xue

  • Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging

    Haiping Ma;Haiping Ma;Zhile Yang;Pengcheng You;Minrui Fei

  • A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting

    Zhile Yang;Zhile Yang;Monjur M. Mourshed;Kailong Liu;Xinzhi Xu

  • Mass load prediction for lithium-ion battery electrode clean production: A machine learning approach

    Kailong Liu;Zhongbao Wei;Zhile Yang;Kang Li

  • An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model

    Kailong Liu;Kang Li;Zhile Yang;Cheng Zhang

  • A compact and optimized neural network approach for battery state-of-charge estimation of energy storage system

    Yuanjun Guo;Zhile Yang;Kailong Liu;Yanhui Zhang

  • Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem

    Xu Chen;Kangji Li;Bin Xu;Zhile Yang

  • Automotive Battery Equalizers Based on Joint Switched-Capacitor and Buck-Boost Converters

    Kailong Liu;Zhile Yang;Xiaopeng Tang;Wenping Cao

  • Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem

    Unknown

  • Time series wind power forecasting based on variant Gaussian Process and TLBO

    Juan Yan;Kang Li;Erwei Bai;Zhile Yang

  • Demand side management of plug-in electric vehicles and coordinated unit commitment: A novel parallel competitive swarm optimization method

    Ying Wang;Zhile Yang;Zhile Yang;Monjur Mourshed;Yuanjun Guo

  • Iterative Learning Identification and Compensation of Space-Periodic Disturbance in PMLSM Systems With Time Delay

    Fazhi Song;Yang Liu;Jian-Xin Xu;Xiaofeng Yang

  • A novel hybrid teaching learning based multi-objective particle swarm optimization

    Tingli Cheng;Minyou Chen;Peter J. Fleming;Zhile Yang

  • Compact real-valued teaching-learning based optimization with the applications to neural network training

    Zhile Yang;Kang Li;Yuanjun Guo;Haiping Ma

Frequent Co-Authors

Kang Li
Kang Li University of Leeds
Haiping Ma
Haiping Ma Shaoxing University
Minrui Fei
Minrui Fei Shanghai University
Aoife Foley
Aoife Foley University of Manchester
Wei Feng
Wei Feng Tianjin University
Huiyu Zhou
Huiyu Zhou University of Leicester
Dongsheng Yang
Dongsheng Yang Eindhoven University of Technology
Monjur Mourshed
Monjur Mourshed Cardiff University
Jiubin Tan
Jiubin Tan Harbin Institute of Technology
Peter J. Fleming
Peter J. Fleming University of Sheffield

External Links

Personal website of Zhile Yang

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Related Online Degrees & Career Pathways

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Each of these pathways offers flexible online options, affordable tuition, and connections to some of the fastest-growing careers in technology and science. Exploring these related degrees can broaden your expertise and open even more doors in the evolving tech landscape.

Best Scientists Citing Zhile Yang

Kang Li

Kang Li

University of Leeds

Publications: 18

Aoife Foley

Aoife Foley

University of Manchester

Publications: 10

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo

Lappeenranta University of Technology

Publications: 7

Huiling Chen

Huiling Chen

Wenzhou University

Publications: 6

Jing Liang

Jing Liang

Zhengzhou University

Publications: 6

Furong Gao

Furong Gao

Hong Kong University of Science and Technology

Publications: 5

Xiaosong Hu

Xiaosong Hu

Chongqing University

Publications: 5

Hongwen He

Hongwen He

Beijing Institute of Technology

Publications: 5

Zhongbao Wei

Zhongbao Wei

Beijing Institute of Technology

Publications: 5

Kunjie Yu

Kunjie Yu

Zhengzhou University

Publications: 5

Joao P. S. Catalao

Joao P. S. Catalao

University of Porto

Publications: 4

Mahammad A. Hannan

Mahammad A. Hannan

Sunway University

Publications: 4

Jiubin Tan

Jiubin Tan

Harbin Institute of Technology

Publications: 4

James Marco

James Marco

University of Warwick

Publications: 4

Jeng-Shyang Pan

Jeng-Shyang Pan

Shandong University of Science and Technology

Publications: 4

Boyang Qu

Boyang Qu

Zhongyuan University of Technology

Publications: 4

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