World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13537
World Ranking
4052
National Ranking
1930

Jian Peng 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 Jian Peng 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Jian Peng 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 Jian Peng 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: 56 D-Index — 72nd percentile

72% 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

  • 2016 - Fellow of Alfred P. Sloan Foundation

Overview

Jian Peng is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple areas within computer science and engineering, focusing particularly on artificial intelligence and computer vision.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, Jian Peng concentrates on several subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging

Their research topics encompass:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Remote Sensing in Agriculture
  • Bacillus and Francisella bacterial research

Jian Peng has published extensively in the following venues:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Transactions on Geoscience and Remote Sensing
  • SSRN Electronic Journal
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Frequent collaborators include:

  • Haifeng Li
  • Li Chen
  • Wenbo Li
  • Haozhe Huang
  • Dingqi Ye

Recent notable publications by Jian Peng include:

  • DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data, 2020, Sensors
  • An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Jian Peng received recognition as a Fellow of the Alfred P. Sloan Foundation in 2016.

Best Publications

  • Template-based protein structure modeling using the RaptorX web server

    Morten Källberg;Morten Källberg;Haipeng Wang;Sheng Wang;Jian Peng

  • A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

    Yunan Luo;Xinbin Zhao;Jingtian Zhou;Jinglin Yang

  • Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields.

    Sheng Wang;Jian Peng;Jianzhu Ma;Jinbo Xu

  • DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

    Jie Chen;Ziyang Yuan;Jian Peng;Li Chen

  • Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Yaping Cai;Kaiyu Guan;David Lobell;Andries B. Potgieter

  • A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

    Yaping Cai;Kaiyu Guan;Jian Peng;Shaowen Wang

  • Raptorx: Exploiting structure information for protein alignment by statistical inference

    Jian Peng;Jinbo Xu

  • Computational solutions for omics data

    Bonnie Berger;Jian Peng;Mona Singh

  • Variational Inference for Crowdsourcing

    Qiang Liu;Jian Peng;Alex T Ihler

  • Empower Sequence Labeling with Task-Aware Neural Language Model

    Liyuan Liu;Jingbo Shang;Frank F. Xu;Xiang Ren

  • Compact Integration of Multi-Network Topology for Functional Analysis of Genes

    Hyunghoon Cho;Bonnie Berger;Jian Peng;Jian Peng

  • Conditional Neural Fields

    Jian Peng;Liefeng Bo;Jinbo Xu

  • Protein structure alignment beyond spatial proximity

    Sheng Wang;Jianzhu Ma;Jian Peng;Jinbo Xu

  • Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation

    Yuanyi Zhong;Bodi Yuan;Hong Wu;Zhiqiang Yuan

  • emrQA: A Large Corpus for Question Answering on Electronic Medical Records

    Anusri Pampari;Preethi Raghavan;Preethi Raghavan;Jennifer J. Liang;Jian Peng

  • Robust single-cell Hi-C clustering by convolution- and random-walk-based imputation.

    Jingtian Zhou;Jingtian Zhou;Jianzhu Ma;Yusi Chen;Yusi Chen;Chuankai Cheng

  • ECNet is an evolutionary context-integrated deep learning framework for protein engineering.

    Yunan Luo;Guangde Jiang;Tianhao Yu;Yang Liu

  • Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

    Justin Guinney;Tao Wang;Teemu D Laajala;Teemu D Laajala;Kimberly Kanigel Winner

  • Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

    Jianzhu Ma;Jianzhu Ma;Samson H. Fong;Yunan Luo;Christopher J. Bakkenist

  • Protein 8‐class secondary structure prediction using conditional neural fields

    Zhiyong Wang;Feng Zhao;Jian Peng;Jinbo Xu

  • Protein 8-class secondary structure prediction using Conditional Neural Fields

    Zhiyong Wang;Feng Zhao;Jian Peng;Jinbo Xu

  • Protein structure alignment beyond spatial proximity

    Sheng Wang;Jianzhu Ma;Jian Peng;Jinbo Xu

  • Quality score compression improves genotyping accuracy

    Yun William Yu;Deniz Yorukoglu;Jian Peng;Bonnie Berger Leighton

  • Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders

    Jian Peng;George Jay Tucker;Alexander T. Leighton;Bonnie Berger Leighton

Frequent Co-Authors

Qiang Liu
Qiang Liu Chinese Academy of Sciences
Jinbo Xu
Jinbo Xu Toyota Technological Institute at Chicago
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Jingbo Shang
Jingbo Shang University of California, San Diego
Trey Ideker
Trey Ideker University of California, San Diego
Kaiyu Guan
Kaiyu Guan University of Illinois at Urbana-Champaign
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Jonathan M. Carlson
Jonathan M. Carlson Microsoft (United States)

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