World's Best Scientists 2026 revealed!
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Wei-Chiang Hong

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 58 3663 3560 25 25 183 12154

Wei-Chiang Hong publications per year

The chart shows the history of publications by Wei-Chiang Hong between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wei-Chiang Hong published across 24 years, from 2003 to 2026, averaging 9.5 papers a year. Output peaked at 27 publications in 2006. 9 of the 229 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2006. 2003: 1 publication 2004: 0 publications 2005: 7 publications 2006: 27 publications 2007: 22 publications 2008: 3 publications 2009: 8 publications 2010: 6 publications 2011: 10 publications 2012: 6 publications 2013: 14 publications 2014: 7 publications 2015: 4 publications 2016: 7 publications 2017: 6 publications 2018: 8 publications 2019: 9 publications 2020: 15 publications 2021: 15 publications 2022: 15 publications 2023: 14 publications 2024: 16 publications 2025: 8 publications 2026: 1 publication
2003 2026

229 publications in total across all disciplines

View publications per year as a table
Wei-Chiang Hong: publications per year, 2003 to 2026
Year Publications
2003 1
2004 0
2005 7
2006 27
2007 22
2008 3
2009 8
2010 6
2011 10
2012 6
2013 14
2014 7
2015 4
2016 7
2017 6
2018 8
2019 9
2020 15
2021 15
2022 15
2023 14
2024 16
2025 8
2026 1
Total 229
Download as CSV

Wei-Chiang Hong 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 Wei-Chiang Hong 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, 182–191 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: 183 publications — 40th percentile

40% 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
182–191 583 183
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

Wei-Chiang Hong 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 Wei-Chiang Hong 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, 58–59 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: 58 D-Index — 75th percentile

75% 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 58
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

Wei-Chiang Hong is affiliated with Asia Eastern University of Science and Technology in Taiwan. Their research activity is concentrated in the fields of Engineering and Computer Science, with a substantial body of work in Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

Their main research topics encompass Energy Load and Power Forecasting, Grey System Theory Applications, Machine Fault Diagnosis Techniques, Image and Signal Denoising Methods, Advanced Algorithms and Applications, Maritime Ports and Logistics, as well as IoT and Edge/Fog Computing.

Frequently collaborating co-authors include Guo-Feng Fan, Li-Ling Peng, Pradeep Kumar Singh, Hsin-Pou Huang, and Yi-Hsuan Yeh.

Wei-Chiang Hong has published extensively in venues such as IEEE Access, Applied Soft Computing, Sustainability, Nonlinear Dynamics, and Sensors.

Selected recent papers include:

  • Internet of Things: Evolution, Concerns and Security Challenges, 2021, Sensors
  • Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads, 2021, Knowledge-Based Systems
  • Applications of random forest in multivariable response surface for short-term load forecasting, 2022, International Journal of Electrical Power & Energy Systems
  • A Survey on Decentralized Consensus Mechanisms for Cyber Physical Systems, 2020, IEEE Access
  • A hybrid approach for forecasting ship motion using CNN-GRU-AM and GCWOA, 2021, Applied Soft Computing

Best Publications

  • Consensus models for AHP group decision making under row geometric mean prioritization method

    Yucheng Dong;Guiqing Zhang;Wei-Chiang Hong;Yinfeng Xu

  • Support vector machines with simulated annealing algorithms in electricity load forecasting

    Ping-Feng Pai;Wei-Chiang Hong

  • Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms

    Ping-Feng Pai;Wei-Chiang Hong

  • Electric load forecasting by support vector model

    Wei-Chiang Hong

  • Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward

    Sudeep Tanwar;Qasim Bhatia;Pruthvi Patel;Aparna Kumari

  • Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model

    Wei-Chiang Hong

  • Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm

    Wei-Chiang Hong

  • SVR with hybrid chaotic genetic algorithms for tourism demand forecasting

    Wei-Chiang Hong;Yucheng Dong;Li-Yueh Chen;Shih-Yung Wei

  • Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm

    Rong Chen;Chang-Yong Liang;Wei-Chiang Hong;Dong-Xiao Gu

  • Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm

    Wei-Chiang Hong

  • Rainfall forecasting by technological machine learning models

    Wei-Chiang Hong

  • Short term load forecasting based on feature extraction and improved general regression neural network model

    Yi Liang;Dongxiao Niu;Wei-Chiang Hong

  • Software reliability forecasting by support vector machines with simulated annealing algorithms

    Ping-Feng Pai;Wei-Chiang Hong

  • Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression

    Guo-Feng Fan;Li-Ling Peng;Wei-Chiang Hong;Fan Sun

  • Internet of Things: Evolution, Concerns and Security Challenges

    Parushi Malhotra;Yashwant Singh;Pooja Anand;Deep Kumar Bangotra

  • Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm

    Wei-Chiang Hong;Yucheng Dong;Wen Yu Zhang;Li-Yueh Chen

  • Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm

    Zichen Zhang;Wei-Chiang Hong

  • Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads

    Zichen Zhang;Wei-Chiang Hong

  • Forecasting urban traffic flow by SVR with continuous ACO

    Wei-Chiang Hong;Yucheng Dong;Feifeng Zheng;Chien-Yuan Lai

  • Linguistic Computational Model Based on 2-Tuples and Intervals

    Yucheng Dong;Guiqing Zhang;Wei-Chiang Hong;Shui Yu

  • Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model

    Guo-Feng Fan;Li-Ling Peng;Wei-Chiang Hong

  • Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting

    Wei-Chiang Hong;Wei-Chiang Hong

Frequent Co-Authors

Yucheng Dong
Yucheng Dong Sichuan University
Shui Yu
Shui Yu University of Technology Sydney
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi
Sudeep Tanwar
Sudeep Tanwar Marwadi University
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette

External Links

Personal website of Wei-Chiang Hong Google Scholar page

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Best Scientists Citing Wei-Chiang Hong

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Luis Martínez

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Witold Pedrycz

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Publications: 19

Yejun Xu

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Publications: 17

Jianzhou Wang

Jianzhou Wang

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Publications: 14

Arpan Kumar Kar

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Publications: 13

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Jui-Sheng Chou

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Publications: 13

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