World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
11557
World Ranking
6381
National Ranking
2848

Zhenhui Li 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 Zhenhui Li 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: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Zhenhui Li 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 Zhenhui Li 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Zhenhui Li is primarily affiliated with Pennsylvania State University in the United States. Their research spans multiple fields with a notable focus on Medicine, encompassing 411 publications. Within this domain, key subfields include Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, and Surgery.

Their work extensively covers topics related to cancer and medical imaging technologies. Prominent areas of research include Radiomics and Machine Learning in Medical Imaging, Colorectal Cancer Surgical Treatments, Gastric Cancer Management and Outcomes, AI in Cancer Detection, Colorectal Cancer Screening and Detection, Colorectal Cancer Treatments and Studies, and Cancer Immunotherapy and Biomarkers.

Zhenhui Li has authored and coauthored several papers in high-profile venues and multidisciplinary journals. Some recent significant publications include:

  • "Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study," 2021, The Lancet Digital Health
  • "Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer," 2020, Nature Communications
  • "Few-Shot Knowledge Graph Completion," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Recent Advances in Reinforcement Learning for Traffic Signal Control," 2021, ACM SIGKDD Explorations Newsletter

Zhenhui Li's work is disseminated through various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • PubMed
  • Research Square
  • Proceedings of the AAAI Conference on Artificial Intelligence

In collaborative efforts, Zhenhui Li has worked closely with several coauthors over multiple projects. Frequent collaborators include Zaiyi Liu, Dafu Zhang, Ke Zhao, Yanfen Cui, and Changhong Liang.

Best Publications

  • Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

    Huaxiu Yao;Fei Wu;Jintao Ke;Xianfeng Tang

  • Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

    Huaxiu Yao;Xianfeng Tang;Hua Wei;Guanjie Zheng

  • Generalized Fisher score for feature selection

    Quanquan Gu;Zhenhui Li;Jiawei Han

  • DRN: A Deep Reinforcement Learning Framework for News Recommendation

    Guanjie Zheng;Fuzheng Zhang;Zihan Zheng;Yang Xiang

  • IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control

    Hua Wei;Guanjie Zheng;Huaxiu Yao;Zhenhui Li

  • Swarm: mining relaxed temporal moving object clusters

    Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

  • Mining periodic behaviors for moving objects

    Zhenhui Li;Bolin Ding;Jiawei Han;Roland Kays

  • CoLight: Learning Network-level Cooperation for Traffic Signal Control

    Hua Wei;Nan Xu;Huichu Zhang;Guanjie Zheng

  • Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control

    Chacha Chen;Hua Wei;Nan Xu;Guanjie Zheng

  • PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network

    Hua Wei;Chacha Chen;Guanjie Zheng;Kan Wu

  • CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

    Huichu Zhang;Siyuan Feng;Chang Liu;Yaoyao Ding

  • Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

    Huaxiu Yao;Yiding Liu;Ying Wei;Xianfeng Tang

  • Joint feature selection and subspace learning

    Quanquan Gu;Zhenhui Li;Jiawei Han

  • Incremental clustering for trajectories

    Zhenhui Li;Jae-Gil Lee;Xiaolei Li;Jiawei Han

  • Crime Rate Inference with Big Data

    Hongjian Wang;Daniel Kifer;Corina Graif;Zhenhui Li

  • A Simple Baseline for Travel Time Estimation using Large-scale Trip Data

    Hongjian Wang;Xianfeng Tang;Yu-Hsuan Kuo;Daniel Kifer

  • Temporal Outlier Detection in Vehicle Traffic Data

    Xiaolei Li;Zhenhui Li;Jiawei Han;Jae-Gil Lee

  • Few-Shot Knowledge Graph Completion

    Chuxu Zhang;Huaxiu Yao;Chao Huang;Meng Jiang

  • A Survey on Traffic Signal Control Methods.

    Hua Wei;Guanjie Zheng;Vikash V. Gayah;Zhenhui Li

  • Differentially private data cubes: optimizing noise sources and consistency

    Bolin Ding;Marianne Winslett;Jiawei Han;Zhenhui Li

  • Hierarchically structured meta-learning

    Huaxiu Yao;Ying Wei;Junzhou Huang;Zhenhui Li

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Susan L. Brantley
Susan L. Brantley Pennsylvania State University
Daniel Kifer
Daniel Kifer Pennsylvania State University
Bolin Ding
Bolin Ding Alibaba Group (United States)
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Quanquan Gu
Quanquan Gu University of California, Los Angeles
Roland Kays
Roland Kays North Carolina State University
Wang-Chien Lee
Wang-Chien Lee Pennsylvania State University
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Suhang Wang
Suhang Wang Pennsylvania State University

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 Computer Science in the USA opens doors to a variety of educational and career options. Many students begin their journey by enrolling in what’s the easiest associate’s degree to get, offering a quick entry into foundational tech roles or a stepping stone to advanced study.

For those interested in advancing their skills, affordable graduate schools provide accessible pathways to earn a master’s degree online. These programs can lead to specialized tech careers and greater earning potential.

Ambitious professionals may pursue a terminal degree through the cheapest accredited online doctoral programs, which can focus on education or advanced research. Alternatively, the doctorate organizational leadership is ideal for those aspiring to tech management and executive roles.

With online options growing rapidly, students can find flexible programs suited to their budgets, life situations, and long-term career goals. Choosing the right degree level and specialization can make a significant difference in your Computer Science career pathway.

Best Scientists Citing Zhenhui Li

Trending Scientists

Recently Published Articles