World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
16003
World Ranking
4979
National Ranking
669

Jian Cheng 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 Cheng 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: 280 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Jian Cheng 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 Cheng 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Jian Cheng is affiliated with the Chinese Academy of Sciences in China and has a research focus spanning computer science and engineering, with particular emphasis on computer vision, pattern recognition, and artificial intelligence. Their work also engages with electrical and electronic engineering, renewable energy, sustainability, and media technology.

Their research topics cover a variety of areas including advanced neural network applications, advanced image and video retrieval techniques, CO2 reduction techniques and catalysts, remote-sensing image classification, ionic liquids properties and applications, domain adaptation and few-shot learning, and advanced battery technologies research.

Jian Cheng has contributed to a number of papers with notable ones including:

  • Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review (2024), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • Proton Shuttling by Polyaniline of High Brønsted Basicity for Improved Electrocatalytic Ethylene Production from CO2 (2023), published in Angewandte Chemie International Edition
  • Light-Weight Semantic Segmentation Network for UAV Remote Sensing Images (2021), published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • HCANet: A Hierarchical Context Aggregation Network for Semantic Segmentation of High-Resolution Remote Sensing Images (2021), published in IEEE Geoscience and Remote Sensing Letters
  • Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification (2020), published in Neurocomputing

Frequent co-authors that Jian Cheng has collaborated with include:

  • Yanzhou Su
  • Zhao Deng
  • Yang Peng
  • Zhangyi Zheng
  • Haoran Han

The scientist's publications appear frequently in the following venues:

  • Neurocomputing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • Biomedical Signal Processing and Control

Jian Cheng's body of work demonstrates a strong interdisciplinary approach combining computer science methodologies with engineering practices, addressing challenges in remote sensing, environmental sustainability, and advanced material applications. Their contributions to semantic segmentation and electrocatalytic processes highlight the breadth of topics explored within their academic portfolio.

Best Publications

  • Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

    Lei Shi;Yifan Zhang;Jian Cheng;Hanqing Lu

  • Quantized Convolutional Neural Networks for Mobile Devices

    Jiaxiang Wu;Cong Leng;Yuhang Wang;Qinghao Hu

  • Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks

    Lei Shi;Yifan Zhang;Jian Cheng;Hanqing Lu

  • Skeleton-Based Action Recognition With Shift Graph Convolutional Network

    Ke Cheng;Yifan Zhang;Xiangyu He;Weihan Chen

  • Skeleton-Based Action Recognition With Directed Graph Neural Networks

    Lei Shi;Yifan Zhang;Jian Cheng;Hanqing Lu

  • You Only Look One-level Feature

    Qiang Chen;Yingming Wang;Tong Yang;Xiangyu Zhang

  • RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

    Guan'an Wang;Tianzhu Zhang;Jian Cheng;Si Liu

  • EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition

    Yifan Zhang;Congqi Cao;Jian Cheng;Hanqing Lu

  • Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

    Ke Cheng;Yifan Zhang;Congqi Cao;Lei Shi

  • A Real-Time Hand Gesture Recognition Method

    Yikai Fang;Kongqiao Wang;Jian Cheng;Hanqing Lu

  • Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

    Guan-An Wang;Tianzhu Zhang;Yang Yang;Jian Cheng

  • ODE-Inspired Network Design for Single Image Super-Resolution

    Xiangyu He;Zitao Mo;Peisong Wang;Yang Liu

  • Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition

    Lei Shi;Yifan Zhang;Jian Cheng;Jian Cheng;Hanqing Lu

  • Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction

    Jian Cheng;Cong Leng;Jiaxiang Wu;Hainan Cui

  • Recent advances in efficient computation of deep convolutional neural networks

    Jian Cheng;Pei-song Wang;Gang Li;Qing-hao Hu

  • Visual tracking via incremental Log-Euclidean Riemannian subspace learning

    Xi Li;Weiming Hu;Zhongfei Zhang;Xiaoqin Zhang

  • Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis

    Xiaofeng Zhu;Zi Huang;Heng Tao Shen;Jian Cheng

  • VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Spectral Hashing With Semantically Consistent Graph for Image Indexing

    Peng Li;Meng Wang;Jian Cheng;Changsheng Xu

  • Real-Time Probabilistic Covariance Tracking With Efficient Model Update

    Yi Wu;Jian Cheng;Jinqiao Wang;Hanqing Lu

  • Two-Step Quantization for Low-bit Neural Networks

    Peisong Wang;Qinghao Hu;Yifan Zhang;Chunjie Zhang

  • Ensemble learning for independent component analysis

    Jian Cheng;Qingshan Liu;Hanqing Lu;Yen-Wei Chen

  • Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

    Guan-An Wang;Tianzhu Zhang. Yang Yang;Jian Cheng;Jianlong Chang

Frequent Co-Authors

Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Qi Tian
Qi Tian Huawei Technologies (China)
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Jing Liu
Jing Liu Chinese Academy of Sciences
Yao Zhao
Yao Zhao Beijing Jiaotong University
Radu Timofte
Radu Timofte University of Wurzburg
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Peng Li
Peng Li University of California, Santa Barbara

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