World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
15193
World Ranking
3595
National Ranking
1727

Aidong Zhang 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 Aidong Zhang 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: 435 publications — 90th percentile

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

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

Aidong Zhang 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 Aidong Zhang 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - ACM Fellow For contributions to bioinformatics and data mining
  • 2009 - IEEE Fellow For contributions to multimedia data indexing

Overview

Aidong Zhang is affiliated with the University of Virginia in the United States. Their research spans multiple domains, primarily focused on computer science and biochemistry, genetics, and molecular biology.

The scientist has a substantial publication record in several key academic venues, including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Bioinformatics
  • ACM Transactions on Knowledge Discovery from Data

Their research fields cover broad areas in computer science and life sciences, with a focus on:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Cancer Research
  • Cognitive Neuroscience

The main research topics that Aidong Zhang has explored include:

  • Gene expression and cancer classification
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Data Classification
  • Cancer-related molecular mechanisms research
  • Privacy-Preserving Technologies in Data
  • Genomics and Chromatin Dynamics
  • Topic Modeling

Among their recent publications are:

  • "A Survey on Causal Inference" (2021), published in ACM Transactions on Knowledge Discovery from Data
  • "H. pylori infection alters repair of DNA double-strand breaks via SNHG17" (2020), published in Journal of Clinical Investigation
  • "Chalcone synthase (CHS) family members analysis from eggplant (Solanum melongena L.) in the flavonoid biosynthetic pathway and expression patterns in response to heat stress" (2020), published in PLoS ONE
  • "FedMSplit" (2022), published in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Learning Fair Node Representations with Graph Counterfactual Fairness" (2022), published in Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Frequent collaborators with whom Aidong Zhang has coauthored multiple works include:

  • Guangtao Zheng (26 collaborations)
  • Nathan C. Sheffield (15 collaborations)
  • Guangzhi Xiong (15 collaborations)
  • Mengdi Huai (13 collaborations)
  • Nathan J. LeRoy (12 collaborations)

Aidong Zhang has received recognition in the form of professional fellowships including:

  • ACM Fellow (2017) for contributions to bioinformatics and data mining
  • IEEE Fellow (2009) for contributions to multimedia data indexing

Best Publications

  • Cluster analysis for gene expression data: a survey

    Daxin Jiang;Chun Tang;Aidong Zhang

  • WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases

    Gholamhosein Sheikholeslami;Surojit Chatterjee;Aidong Zhang

  • A Survey on Causal Inference

    Liuyi Yao;Zhixuan Chu;Sheng Li;Yaliang Li

  • WaveCluster: a wavelet-based clustering approach for spatial data in very large databases

    Gholamhosein Sheikholeslami;Surojit Chatterjee;Aidong Zhang

  • On mining cross-graph quasi-cliques

    Jian Pei;Daxin Jiang;Aidong Zhang

  • Findout: finding outliers in very large datasets

    Dantong Yu;Gholamhosein Sheikholeslami;Aidong Zhang

  • A Deep Learning Approach to Link Prediction in Dynamic Networks.

    Xiaoyi Li;Nan Du;Hui Li;Kang Li

  • Ensuring relaxed atomicity for flexible transactions in multidatabase systems

    Aidong Zhang;Marian Nodine;Bharat Bhargava;Omran Bukhres

  • A Multi-View Deep Learning Framework for EEG Seizure Detection

    Ye Yuan;Guangxu Xun;Kebin Jia;Aidong Zhang

  • Interrelated two-way clustering: an unsupervised approach for gene expression data analysis

    Chun Tang;Li Zhang;Aidong Zhang;M. Ramanathan

  • DHC: a density-based hierarchical clustering method for time series gene expression data

    Daxin Jiang;Jian Pei;Aidong Zhang

  • Protein Interaction Networks: Computational Analysis

    Aidong Zhang

  • Semantic integration to identify overlapping functional modules in protein interaction networks

    Young-Rae Cho;Woochang Hwang;Murali Ramanathan;Aidong Zhang

  • Representation Learning for Treatment Effect Estimation from Observational Data

    Liuyi Yao;Sheng Li;Yaliang Li;Mengdi Huai

  • mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave

    Hongfei Xue;Yan Ju;Chenglin Miao;Yijiang Wang

  • Advanced Analysis Of Gene Expression Microarray Data

    Aidong Zhang

  • On handling negative transfer and imbalanced distributions in multiple source transfer learning

    Liang Ge;Jing Gao;Hung Ngo;Kang Li

  • OMS-TL: a framework of online multiple source transfer learning

    Liang Ge;Jing Gao;Aidong Zhang

  • SemQuery: semantic clustering and querying on heterogeneous features for visual data

    G. Sheikholeslami;W. Chang;Aidong Zhang

  • Deep Patient Similarity Learning for Personalized Healthcare

    Qiuling Suo;Fenglong Ma;Ye Yuan;Mengdi Huai

  • Survey: Functional Module Detection from Protein-Protein Interaction Networks

    Junzhong Ji;Aidong Zhang;Chunnian Liu;Xiaomei Quan

  • Identification of Information Flow-Modulating Drug Targets: A Novel Bridging Paradigm for Drug Discovery

    Hwang Wc;Zhang A;Ramanathan M

  • Risk Prediction on Electronic Health Records with Prior Medical Knowledge

    Fenglong Ma;Jing Gao;Qiuling Suo;Quanzeng You

Frequent Co-Authors

Jing Gao
Jing Gao Purdue University West Lafayette
Nan Du
Nan Du Tencent (China)
Fenglong Ma
Fenglong Ma Pennsylvania State University
Yaliang Li
Yaliang Li Alibaba Group (China)
Lu Su
Lu Su Purdue University West Lafayette
Jian Pei
Jian Pei Duke University
Daxin Jiang
Daxin Jiang Microsoft (United States)
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Tanveer Syeda-Mahmood
Tanveer Syeda-Mahmood IBM (United States)

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