World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
18989
World Ranking
1433
National Ranking
743

Wang-Chien Lee 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 Wang-Chien Lee 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: 388 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Wang-Chien Lee 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 Wang-Chien Lee 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Wang-Chien Lee is affiliated with Pennsylvania State University in the United States and has an extensive research background in Computer Science, with 53 publications in this field. Their work encompasses a variety of subfields, including Artificial Intelligence, Signal Processing, Information Systems, Statistical and Nonlinear Physics, and Computer Networks and Communications.

Their main research topics cover a broad spectrum with a focus on Data Management and Algorithms, Complex Network Analysis Techniques, Recommender Systems and Techniques, Human Mobility and Location-Based Analysis, Advanced Graph Neural Networks, Traffic Prediction and Management Techniques, and Automated Road and Building Extraction.

Wang-Chien Lee has published multiple recent papers, including:

  • "Trembr," 2020, ACM Transactions on Intelligent Systems and Technology
  • "On Representation Learning for Road Networks," 2020, ACM Transactions on Intelligent Systems and Technology
  • "MIDIA: exploring denoising autoencoders for missing data imputation," 2020, Data Mining and Knowledge Discovery
  • "Activity Organization for Friend-Making Optimization in Online Social Networks," 2020, IEEE Transactions on Knowledge and Data Engineering
  • "LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Frequent coauthors of Wang-Chien Lee include De-Nian Yang, Chih-Ya Shen, Tao-Yang Fu, Ge Yu, and Ming-Syan Chen. Collaboration with these researchers has contributed to a variety of published work.

Their work has appeared across notable venues such as:

  • IEEE Transactions on Knowledge and Data Engineering
  • arXiv (Cornell University)
  • ACM Transactions on Intelligent Systems and Technology
  • Proceedings of the VLDB Endowment
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

In addition to journal and conference articles, Wang-Chien Lee has contributed to books published by Springer Science+Business Media. These publications include multiple editions of "Database Systems for Advanced Applications" in 2021.

Best Publications

  • Exploiting geographical influence for collaborative point-of-interest recommendation

    Mao Ye;Peifeng Yin;Wang-Chien Lee;Dik-Lun Lee

  • Location recommendation for location-based social networks

    Mao Ye;Peifeng Yin;Wang-Chien Lee

  • HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning

    Tao-yang Fu;Wang-Chien Lee;Zhen Lei

  • Prediction-based strategies for energy saving in object tracking sensor networks

    Yingqi Xu;J. Winter;Wang-Chien Lee

  • Semantic trajectory mining for location prediction

    Josh Jia-Ching Ying;Wang-Chien Lee;Tz-Chiao Weng;Vincent S. Tseng

  • IR-Tree: An Efficient Index for Geographic Document Search

    Zhisheng Li;Ken C K Lee;Baihua Zheng;Wang-Chien Lee

  • Event-based social networks: linking the online and offline social worlds

    Xingjie Liu;Qi He;Yuanyuan Tian;Wang-Chien Lee

  • Exploring social influence for recommendation: a generative model approach

    Mao Ye;Xingjie Liu;Wang-Chien Lee

  • Real-time automatic tag recommendation

    Yang Song;Ziming Zhuang;Huajing Li;Qiankun Zhao

  • On the semantic annotation of places in location-based social networks

    Mao Ye;Dong Shou;Wang-Chien Lee;Peifeng Yin

  • Data management in location-dependent information services

    Dik Lun Lee;Jianliang Xu;Baihua Zheng;Wang-Chien Lee

  • Mining user similarity from semantic trajectories

    Josh Jia-Ching Ying;Eric Hsueh-Chan Lu;Wang-Chien Lee;Tz-Chiao Weng

  • System and method for automatic loading of an xml document defined by a document-type definition into a relational database including the generation of a relational schema therefor

    Wang-Chien Lee;Gail Anne Mitchell;Xin Zhang

  • Protecting Moving Trajectories with Dummies

    Tun-Hao You;Wen-Chih Peng;Wang-Chien Lee

  • Approaching the skyline in Z order

    Ken C. K. Lee;Baihua Zheng;Huajing Li;Wang-Chien Lee

  • Top-k Monitoring in Wireless Sensor Networks

    M. Wu;J. Jianliang Xu;X. Xueyan Tang;W.-C. Wang-Chien Lee

  • System and method for synchronizing and/or updating an existing relational database with supplemental XML data

    Wang-Chien Lee;Gail Anne Mitchell;Elke Angelika Rundensteiner;Xin Zhang

  • Clustering and aggregating clues of trajectories for mining trajectory patterns and routes

    Chih-Chieh Hung;Wen-Chih Peng;Wang-Chien Lee

  • Semantic small world: an overlay network for peer-to-peer search

    Mei Li;Wang-Chien Lee;A. Sivasubramaniam

  • Time-critical on-demand data broadcast: algorithms, analysis, and performance evaluation

    Jianliang Xu;Xueyan Tang;Wang-Chien Lee

Frequent Co-Authors

Dik Lun Lee
Dik Lun Lee Hong Kong University of Science and Technology
Baihua Zheng
Baihua Zheng Singapore Management University
Jianliang Xu
Jianliang Xu Hong Kong Baptist University
Wen-Chih Peng
Wen-Chih Peng National Yang Ming Chiao Tung University
Ming-Syan Chen
Ming-Syan Chen National Taiwan University
Anand Sivasubramaniam
Anand Sivasubramaniam Pennsylvania State University
C. Lee Giles
C. Lee Giles Pennsylvania State University
Xueyan Tang
Xueyan Tang Nanyang Technological University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Chita R. Das
Chita R. Das Pennsylvania State University

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