World's Best Scientists 2026 revealed!
Jihong Guan

Jihong Guan

D-Index & Metrics

Computer Science

D-Index
46
Citations
7698
World Ranking
6902
National Ranking
924

Jihong Guan 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 Jihong Guan 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: 332 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Jihong Guan 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 Jihong Guan 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Jihong Guan is affiliated with Tongji University in China and has a substantial publication record primarily in computer science. Their work spans several areas within the field, with a particular focus on artificial intelligence and its applications.

The scientist's research encompasses a range of subfields including:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Computer Networks and Communications

Jihong Guan's research topics reflect diverse interests, notably in:

  • Computational Drug Discovery Methods
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Machine Learning in Materials Science
  • Network Security and Intrusion Detection
  • Domain Adaptation and Few-Shot Learning
  • Bayesian Modeling and Causal Inference

The scientist has collaborated frequently with several coauthors, including:

  • Shuigeng Zhou
  • Wengen Li
  • Yichao Zhang
  • Hanchen Yang
  • Jiaogen Zhou

Jihong Guan has contributed to a variety of prominent publication venues. The most frequent include:

  • arXiv (Cornell University)
  • Bioinformatics
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Intelligent Systems and Technology
  • ACM Transactions on Knowledge Discovery from Data

Selected recent peer-reviewed papers illustrate the breadth of their work:

  • Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network (2022) published in Briefings in Bioinformatics
  • Effective drug-target interaction prediction with mutual interaction neural network (2022) published in Bioinformatics
  • FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction (2021) published in Bioinformatics
  • Protein Function Prediction Based on PPI Networks: Network Reconstruction vs Edge Enrichment (2021) published in Frontiers in Genetics
  • Video anomaly detection based on spatio-temporal relationships among objects (2023) published in Neurocomputing

Best Publications

  • Improving compound–protein interaction prediction by building up highly credible negative samples

    Hui Liu;Jianjiang Sun;Jihong Guan;Jie Zheng

  • Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

    Huidong Chen;Luca Albergante;Luca Albergante;Jonathan Y. Hsu;Jonathan Y. Hsu;Caleb A. Lareau;Caleb A. Lareau

  • A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation

    Qiwen Dong;Shuigeng Zhou;Jihong Guan

  • Boosting compound-protein interaction prediction by deep learning

    Kai Tian;Mingyu Shao;Yang Wang;Jihong Guan

  • PredUs: a web server for predicting protein interfaces using structural neighbors

    Qiangfeng Cliff Zhang;Lei Deng;Markus Fisher;Jihong Guan

  • Exact solution for mean first-passage time on a pseudofractal scale-free web.

    Zhongzhi Zhang;Yi Qi;Shuigeng Zhou;Wenlei Xie

  • Maximal planar scale-free Sierpinski networks with small-world effect and power law strength-degree correlation

    Zhongzhi Zhang;Shuigeng Zhou;Lujun Fang;Jihong Guan

  • Standard random walks and trapping on the Koch network with scale-free behavior and small-world effect.

    Zhongzhi Zhang;Shuigeng Zhou;Wenlei Xie;Lichao Chen

  • MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features

    Jiandong Ding;Shuigeng Zhou;Jihong Guan

  • Adapting skyline computation to the MapReduce framework: algorithms and experiments

    Boliang Zhang;Shuigeng Zhou;Jihong Guan

  • Epidemic spreading with nonlinear infectivity in weighted scale-free networks

    Xiangwei Chu;Zhongzhi Zhang;Jihong Guan;Shuigeng Zhou

  • Determining global mean-first-passage time of random walks on Vicsek fractals using eigenvalues of Laplacian matrices.

    Zhongzhi Zhang;Bin Wu;Hongjuan Zhang;Hongjuan Zhang;Shuigeng Zhou

  • DeepCluster: A General Clustering Framework Based on Deep Learning

    Kai Tian;Shuigeng Zhou;Jihong Guan

  • Exact solution of mean geodesic distance for Vicsek fractals

    Zhongzhi Zhang;Shuigeng Zhou;Lichao Chen;Ming Yin

  • Prediction of protein-protein interaction sites using an ensemble method

    Lei Deng;Jihong Guan;Qiwen Dong;Shuigeng Zhou

  • A neighborhood-based clustering algorithm

    Shuigeng Zhou;Yue Zhao;Jihong Guan;Joshua Huang

  • Towards effective document clustering: A constrained K-means based approach

    Guobiao Hu;Shuigeng Zhou;Jihong Guan;Xiaohua Hu

  • Conceptual Modeling for Advanced Application Domains

    S. Wang;Yang;K. Tanaka

  • Protein Function Prediction Based on PPI Networks: Network Reconstruction vs Edge Enrichment

    Unknown

  • CloudNMF: a MapReduce implementation of nonnegative matrix factorization for large-scale biological datasets.

    Ruiqi Liao;Yifan Zhang;Jihong Guan;Shuigeng Zhou

  • Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks.

    Hui Liu;Yinglong Song;Jihong Guan;Libo Luo

  • PredHS: a web server for predicting protein–protein interaction hot spots by using structural neighborhood properties

    Lei Deng;Qiangfeng Cliff Zhang;Zhigang Chen;Yang Meng

  • Epidemic spreading in weighted scale-free networks with community structure

    Xiangwei Chu;Jihong Guan;Zhongzhi Zhang;Shuigeng Zhou

Frequent Co-Authors

Shuigeng Zhou
Shuigeng Zhou Fudan University
Zhongzhi Zhang
Zhongzhi Zhang Fudan University
Hui Liu
Hui Liu China University of Mining and Technology
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Guanrong Chen
Guanrong Chen City University of Hong Kong
Jason D. Buenrostro
Jason D. Buenrostro Harvard University
Man Lung Yiu
Man Lung Yiu Hong Kong Polytechnic University
Aoying Zhou
Aoying Zhou East China Normal University
Martin J. Aryee
Martin J. Aryee Harvard University
Daniel E. Bauer
Daniel E. Bauer Harvard University

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