World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9018
World Ranking
7157
National Ranking
95

Ah-Hwee Tan 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 Ah-Hwee Tan 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: 254 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Ah-Hwee Tan 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 Ah-Hwee Tan 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Ah-Hwee Tan is affiliated with Singapore Management University in Singapore and primarily works in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Management Science and Operations Research, and Information Systems.

The main topics covered in their research include:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Data Stream Mining Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Robotic Path Planning Algorithms
  • Advanced Graph Neural Networks

Tan has contributed multiple papers to several recognized publication venues. The most frequent venues for their work are:

  • IEEE Transactions on Neural Networks and Learning Systems
  • Expert Systems with Applications
  • Neural Computing and Applications
  • arXiv (Cornell University)
  • ACM Computing Surveys

Some recent publications include:

  • Hierarchical Reinforcement Learning, 2021, ACM Computing Surveys
  • McDPC: multi-center density peak clustering, 2020, Neural Computing and Applications
  • End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A systematic density-based clustering method using anchor points, 2020, Neurocomputing
  • MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis, 2023, Expert Systems with Applications

Frequent coauthors of Ah-Hwee Tan include:

  • Budhitama Subagdja
  • Shubham Pateria
  • Chai Quek
  • Di Wang
  • Zhenda Hu

Best Publications

  • Text Mining: The state of the art and the challenges

    Ah-Hwee Tan;Heng Mui;Keng Terrace

  • A fast pruned-extreme learning machine for classification problem

    Hai-Jun Rong;Yew-Soon Ong;Ah-Hwee Tan;Zexuan Zhu

  • Hierarchical Reinforcement Learning: A Comprehensive Survey

    Shubham Pateria;Budhitama Subagdja;Ah-hwee Tan;Chai Quek

  • Method and system for discovering knowledge from text documents using associating between concepts and sub-concepts

    Ah Hwee Tan;Rajaraman Kanagasabai

  • Rule Extraction: From Neural Architecture to Symbolic Representation

    Gail A. Carpenter;Ah-Hwee Tan

  • Benchmarking Single-Image Reflection Removal Algorithms

    Renjie Wan;Boxin Shi;Ling-Yu Duan;Ah-Hwee Tan

  • Learning and inferencing in user ontology for personalized Semantic Web search

    Xing Jiang;Ah-Hwee Tan

  • Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback

    Ah-Hwee Tan;Ning Lu;Dan Xiao

  • On Quantitative Evaluation of Clustering Systems.

    Ji He;Ah-Hwee Tan;Chew Lim Tan;Sam Yuan Sung

  • Integrated cognitive architectures: a survey

    Hui-Qing Chong;Ah-Hwee Tan;Gee-Wah Ng

  • CRCTOL: A semantic-based domain ontology learning system

    Xing Jiang;Ah-Hwee Tan

  • Modelling situation awareness for Context-aware Decision Support

    Yu-Hong Feng;Teck-Hou Teng;Ah-Hwee Tan

  • Cascade ARTMAP: integrating neural computation and symbolic knowledge processing

    Ah-Hwee Tan

  • Adaptive resonance associative map

    Ah-Hwee Tan

  • CRCTOL: A semantic-based domain ontology learning system

    Unknown

  • Depth of field guided reflection removal

    Renjie Wan;Boxin Shi;Tan Ah Hwee;Alex C. Kot

  • Intelligence Through Interaction: Towards a Unified Theory for Learning

    Ah-Hwee Tan;Gail A. Carpenter;Stephen Grossberg

  • CRRN: Multi-scale Guided Concurrent Reflection Removal Network

    Renjie Wan;Boxin Shi;Ling-Yu Duan;Ah-Hwee Tan

  • Summarization of Egocentric Videos: A Comprehensive Survey

    Ana Garcia del Molino;Cheston Tan;Joo-Hwee Lim;Ah-Hwee Tan

  • Learning user profiles for personalized information dissemination

    Ah-Hwee Tan;C. Teo

  • Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting

    Wenwen Wang;B. Subagdja;Ah-Hwee Tan;J. A. Starzyk

  • A Comparative Study on Chinese Text Categorization Methods.

    Ji He;Ah-Hwee Tan;Chew Lim Tan

Frequent Co-Authors

Chunyan Miao
Chunyan Miao Nanyang Technological University
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Donald C. Wunsch
Donald C. Wunsch Missouri University of Science and Technology
Liang-Tien Chia
Liang-Tien Chia Nanyang Technological University
Chew Lim Tan
Chew Lim Tan National University of Singapore
Liang Feng
Liang Feng Chongqing University
Boxin Shi
Boxin Shi Peking University
Alex C. Kot
Alex C. Kot Nanyang Technological University

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