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Jui-Sheng Chou

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 52 5126 4986 37 37 142 9857

Jui-Sheng Chou publications per year

The chart shows the history of publications by Jui-Sheng Chou between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jui-Sheng Chou published across 30 years, from 1996 to 2025, averaging 7.3 papers a year. Output peaked at 25 publications in 2025. 42 of the 219 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2025. 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 3 publications 2006: 2 publications 2007: 1 publication 2008: 2 publications 2009: 5 publications 2010: 6 publications 2011: 15 publications 2012: 11 publications 2013: 15 publications 2014: 14 publications 2015: 10 publications 2016: 13 publications 2017: 9 publications 2018: 7 publications 2019: 10 publications 2020: 15 publications 2021: 16 publications 2022: 13 publications 2023: 9 publications 2024: 17 publications 2025: 25 publications
1996 2025

219 publications in total across all disciplines

View publications per year as a table
Jui-Sheng Chou: publications per year, 1996 to 2025
Year Publications
1996 1
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 3
2006 2
2007 1
2008 2
2009 5
2010 6
2011 15
2012 11
2013 15
2014 14
2015 10
2016 13
2017 9
2018 7
2019 10
2020 15
2021 16
2022 13
2023 9
2024 17
2025 25
Total 219
Download as CSV

Jui-Sheng Chou 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 Jui-Sheng Chou 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: 142 publications — 23rd percentile

23% 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
142–151 609 142
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

Jui-Sheng Chou 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 Jui-Sheng Chou 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, 52–53 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: 52 D-Index — 65th percentile

65% 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 52
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

Jui-Sheng Chou is affiliated with the National Taiwan University of Science and Technology in Taiwan. Their research spans multiple fields within engineering, with significant contributions to civil and structural engineering, electrical and electronic engineering, artificial intelligence, management science and operations research, as well as building and construction.

Their main research topics cover a range of applied and theoretical issues, including infrastructure maintenance and monitoring, energy load and power forecasting, metaheuristic optimization algorithms, structural health monitoring techniques, advanced multi-objective optimization algorithms, stock market forecasting methods, and building energy and comfort optimization.

Chou has frequently published in the following venues:

  • Automation in Construction
  • International Journal of Energy Research
  • Applied Soft Computing
  • Journal of Civil Engineering and Management
  • Journal of Building Engineering

The scientist has collaborated regularly with other researchers, including Chi-Yun Liu, Dinh-Nhat Truong, Wai Oswald Chong, Ngoc-Mai Nguyen, and Asmare Molla, reflecting ongoing cooperative work within their research community.

Some of their recent papers provide insight into their focus on metaheuristic optimization methods and applications. Notable publications include:

  • "A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean" (2020) published in Applied Mathematics and Computation
  • "FBI inspired meta-optimization" (2020) published in Applied Soft Computing
  • "Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems" (2020) published in Chaos Solitons & Fractals
  • "Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems" (2022) published in Scientific Reports
  • "Multistep energy consumption forecasting by metaheuristic optimization of time-series analysis and machine learning" (2020) published in International Journal of Energy Research

Best Publications

  • A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean

    Jui-Sheng Chou;Dinh-Nhat Truong

  • Machine learning in concrete strength simulations: Multi-nation data analytics

    Jui Sheng Chou;Chih Fong Tsai;Anh Duc Pham;Anh Duc Pham;Yu Hsin Lu

  • Modeling heating and cooling loads by artificial intelligence for energy-efficient building design

    Jui-Sheng Chou;Dac-Khuong Bui

  • Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

    Jui-Sheng Chou;Chien-Kuo Chiu;Mahmoud Farfoura;Ismail Al-Taharwa

  • A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

    Dac-Khuong Bui;Tuan Nguyen;Jui-Sheng Chou;H. Nguyen-Xuan

  • Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength

    Jui-Sheng Chou;Anh-Duc Pham

  • Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model

    Hyojoo Son;Yoora Park;Changwan Kim;Jui-Sheng Chou

  • Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders

    Jui-Sheng Chou;Duc-Son Tran

  • Failure analysis of wind turbine blade under critical wind loads

    Jui-Sheng Chou;Chien-Kuo Chiu;I-Kui Huang;Kai-Ning Chi

  • Failure analysis and risk management of a collapsed large wind turbine tower

    Jui-Sheng Chou;Wan-Ting Tu

  • A structural equation analysis of the QSL relationship with passenger riding experience on high speed rail: An empirical study of Taiwan and Korea

    Jui-Sheng Chou;Changwan Kim

  • BIM integrated smart monitoring technique for building fire prevention and disaster relief

    Min-Yuan Cheng;Kuan-Chang Chiu;Yo-Ming Hsieh;I-Tung Yang

  • Critical factors and risk allocation for PPP policy: Comparison between HSR and general infrastructure projects

    Jui-Sheng Chou;H. Ping Tserng;Chieh Lin;Chun-Pin Yeh

  • Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression

    Jui-Sheng Chou;Thi-Kha Nguyen

  • Real-time detection of anomalous power consumption

    Jui-Sheng Chou;Abdi Suryadinata Telaga

  • Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

    Jui-Sheng Chou;Ngoc-Tri Ngo

  • FBI inspired meta-optimization

    Jui-Sheng Chou;Ngoc-Mai Nguyen

  • Cost simulation in an item-based project involving construction engineering and management

    Jui-Sheng Chou

  • Life cycle carbon dioxide emissions simulation and environmental cost analysis for building construction

    Jui-Sheng Chou;Kuan-Chih Yeh

  • Implementing sustainable development in the construction industry: constructors' perspectives in the US and Korea

    Hyojoo Son;Changwan Kim;Wai Kiong Chong;Jui Sheng Chou

  • High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model

    Min-Yuan Cheng;Jui-Sheng Chou;Andreas F.V. Roy;Yu-Wei Wu

  • Concrete compressive strength analysis using a combined classification and regression technique

    Jui Sheng Chou;Chih Fong Tsai

  • Web-based CBR system applied to early cost budgeting for pavement maintenance project

    Jui-Sheng Chou

  • Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering

    Jui-Sheng Chou;Anh-Duc Pham;Anh-Duc Pham

  • Determining quality of water in reservoir using machine learning

    Jui-Sheng Chou;Chia-Chun Ho;Chia-Chun Ho;Ha-Son Hoang

  • Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation

    Jui-Sheng Chou;Anh-Duc Pham;Hsin Wang

Frequent Co-Authors

Min-Yuan Cheng
Min-Yuan Cheng National Taiwan University of Science and Technology
Chih-Fong Tsai
Chih-Fong Tsai National Central University
Kuei-Hsien Chen
Kuei-Hsien Chen Academia Sinica
Li-Chyong Chen
Li-Chyong Chen National Taiwan University
Chang-Ping Yu
Chang-Ping Yu National Taiwan University
Anyi Hu
Anyi Hu Chinese Academy of Sciences
Tuan Ngo
Tuan Ngo University of Melbourne
Tuan V. Nguyen
Tuan V. Nguyen University of Technology Sydney
Hung Nguyen-Xuan
Hung Nguyen-Xuan Ho Chi Minh City University of Technology

External Links

Personal website of Jui-Sheng Chou Google Scholar page

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Publications: 12

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Víctor Yepes

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Publications: 12

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Guowei Ma

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