World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
18154
World Ranking
2863
National Ranking
389

Keng Siau 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 Keng Siau sits on this spectrum.

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 publications 991+

This scientist: 263 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Keng Siau 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 Keng Siau sits on this spectrum.

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 D-Index 131+

This scientist: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Keng Siau is affiliated with the City University of Hong Kong in China. Their research spans several fields including Computer Science and Social Sciences, with a notable focus on subfields such as Information Systems, Sociology and Political Science, Artificial Intelligence, Management Information Systems, and Safety Research.

Thematic areas covered in their work include Ethics and Social Impacts of AI, Digital Marketing and Social Media, Artificial Intelligence in Healthcare and Education, Virtual Reality Applications and Impacts, IoT and Edge/Fog Computing, Big Data and Business Intelligence, and Blockchain Technology Applications and Security.

Their recent papers illustrate the scope of their research interests:

  • "Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration" (2023), Journal of Information Technology Case and Application Research
  • "Artificial Intelligence (AI) Ethics" (2020), Journal of Database Management
  • "COVID-19 pandemic - online education in the new normal and the next normal" (2020), Journal of Information Technology Case and Application Research
  • "Smart Health" (2022), Journal of Organizational and End User Computing
  • "Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse" (2024), International Journal of Human-Computer Interaction

Keng Siau has collaborated frequently with several coauthors, including Fiona Fui-Hoon Nah, R. Wang, Ziqiong Zhang, Yuzhou Qian, and Constantine Stephanidis.

Their work has appeared repeatedly in specific publication venues such as the Journal of Global Information Management, Человеческий капитал., SSRN Electronic Journal, Journal of Information Technology Case and Application Research, and Journal of Database Management.

Regarding book publications, Keng Siau has contributed to multiple volumes published by Springer Science+Business Media. These include titles such as "HCI International 2020 - Late Breaking Papers: Interaction, Knowledge and Social Media" (2020), "HCI in Business, Government and Organizations" (2020, 2022, 2023), and "HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry" (2021).

Best Publications

  • Building customer trust in mobile commerce

    Keng Siau;Zixing Shen

  • Mobile Commerce: Promises, Challenges and Research Agenda

    Keng Siau;Ee-Peng Lim;Zixing Shen

  • Enterprise integration with ERP and EAI

    Jinyoul Lee;Keng Siau;Soongoo Hong

  • Synthesizing e‐government stage models – a meta‐synthesis based on meta‐ethnography approach

    Keng Siau;Yuan Long

  • Agile Modeling, Agile Software Development, and Extreme Programming: The State of Research

    John Erickson;Kalle Lyytinen;Keng Siau

  • Building Trust in Artificial Intelligence, Machine Learning, and Robotics

    Keng Siau;Weiyu Wang

  • Seven HCI Grand Challenges

    Constantine Stephanidis;Gavriel Salvendy;Margherita Antona;Jessie Y. C. Chen

  • An experimental study on ubiquitous commerce adoption: Impact of personalization and privacy concerns

    Hong Sheng;Fiona Fui-Hoon Nah;Keng Siau

  • Mobile communications and mobile services

    Keng Siau;Zixing Shen

  • Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity: A Review and Research Agenda

    Weiyu Wang;Keng Siau

  • Measuring information quality of web sites: development of an instrument

    Pairin Katerattanakul;Keng Siau

  • The value of mobile applications: a utility company study

    Fiona Fui-Hoon Nah;Keng Siau;Hong Sheng

  • A review of data mining techniques

    Sang Jun Lee;Keng Siau

  • Use of a classroom response system to enhance classroom interactivity

    Keng Siau;Hong Sheng;F.F.-H. Nah

  • Strategic Implications of Mobile Technology: a Case Study Using Value-focused Thinking

    Hong Sheng;Fiona Fui-Hoon Nah;Keng Siau

  • COVID-19 pandemic – online education in the new normal and the next normal

    Xin Xie;Keng Siau;Fiona Fui-Hoon Nah

  • Evaluation techniques for systems analysis and design modelling methods – a review and comparative analysis

    Keng Siau;Matti Rossi

  • Factors Influencing the Adoption of Smart Wearable Devices

    Apurva Adapa;Fiona Fui-Hoon Nah;Richard H. Hall;Keng Siau

  • Unified Modeling Language: A Complexity Analysis

    Keng Siau;Qing Cao

  • 3-D Virtual Worlds in Education: Applications, Benefits, Issues, and Opportunities

    Brenda Eschenbrenner;Fiona Fui-Hoon Nah;Keng Siau

  • Advanced Topics in Database Research

    Keng Siau

Frequent Co-Authors

Fiona Fui-Hoon Nah
Fiona Fui-Hoon Nah Singapore Management University
Matti Rossi
Matti Rossi Aalto University
John Krogstie
John Krogstie Norwegian University of Science and Technology
Kalle Lyytinen
Kalle Lyytinen Case Western Reserve University
Kari Smolander
Kari Smolander Lappeenranta University of Technology
Ee-Peng Lim
Ee-Peng Lim Singapore Management University
Barbara Pernici
Barbara Pernici Polytechnic University of Milan
Steven Alter
Steven Alter University of San Francisco
Jeffrey Parsons
Jeffrey Parsons Memorial University of Newfoundland
Gavriel Salvendy
Gavriel Salvendy University of Central Florida

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring the right academic and career options is vital for success in the field of computer science. With a wide array of choices, many students wonder, what masters program should I do to maximize career prospects and salary potential? Pursuing advanced education can open doors to specialized roles, but for those seeking quicker entry into the technology workforce, an associate degree online can offer a solid foundation and practical skills for many entry-level tech jobs.

Financial considerations matter, so researching the cheap online colleges can help you minimize student debt while still earning a respected degree. In addition, not everyone has a high GPA from prior studies. Fortunately, there are online graduate schools with low gpa requirements for students determined to advance their education despite academic hurdles. No matter your background, there are flexible pathways and degree options available to help you thrive in the computer science field.

Best Scientists Citing Keng Siau

Trending Scientists

Recently Published Articles