World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
27070
World Ranking
2992
National Ranking
406

Jun 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 Jun 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: 407 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Jun 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 Jun 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: 61 D-Index — 79th percentile

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

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

Overview

Jun Cheng is affiliated with the University of Chinese Academy of Sciences in China and has an extensive research record in computer science and engineering. Their work primarily spans the fields of computer vision and pattern recognition, artificial intelligence, biomedical engineering, aerospace engineering, and control and systems engineering.

Their research focuses on topics that include human pose and action recognition, advanced image and video retrieval techniques, gait recognition and analysis, robotics and sensor-based localization, advanced neural network applications, multimodal machine learning applications, and anomaly detection techniques and applications.

Cheng's frequent publication venues demonstrate a strong presence in both academic archives and peer-reviewed journals. Notable venues include arXiv (Cornell University), SSRN Electronic Journal, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, and Neurocomputing.

Frequent collaborators in Cheng's body of work include Qieshi Zhang, Fusheng Hao, Ziliang Ren, Fuxiang Wu, and Lei Wang.

Prominent recent papers by Cheng include:

  • Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition, 2021, published in Information Sciences
  • Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal, 2020, published in IEEE Internet of Things Journal
  • Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method, 2020, published in IEEE Transactions on Network Science and Engineering
  • A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications, 2022, published in IEEE Transactions on Multimedia
  • A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification, 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation

    Zaiwang Gu;Jun Cheng;Huazhu Fu;Kang Zhou

  • Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

    Huazhu Fu;Jun Cheng;Yanwu Xu;Damon Wing Kee Wong

  • Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

    Jun Cheng;Jiang Liu;Yanwu Xu;Fengshou Yin

  • Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

    Huazhu Fu;Jun Cheng;Yanwu Xu;Changqing Zhang

  • ORIGA -light : An online retinal fundus image database for glaucoma analysis and research

    Zhuo Zhang;Feng Shou Yin;Jiang Liu;Wing Kee Wong

  • CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging.

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

  • A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles

    Zhaolong Ning;Xiping Hu;Zhikui Chen;MengChu Zhou

  • CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation

    Lei Mou;Yitian Zhao;Li Chen;Jun Cheng

  • Multiview Hessian discriminative sparse coding for image annotation

    Weifeng Liu;Dacheng Tao;Jun Cheng;Yuanyan Tang

  • Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

    Haocong Rao;Haocong Rao;Shihao Xu;Shihao Xu;Xiping Hu;Xiping Hu;Jun Cheng

  • Structure and Illumination Constrained GAN for Medical Image Enhancement.

    Yuhui Ma;Jiang Liu;Yonghuai Liu;Huazhu Fu

  • A Weighted Normalized Difference Water Index for Water Extraction using Landsat Imagery

    Qiandong Guo;Ruiliang Pu;Jialin Li;Jun Cheng

  • Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal

    Jin Zhang;Fuxiang Wu;Bo Wei;Qieshi Zhang

  • Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning

    Fusheng Hao;Fengxiang He;Jun Cheng;Lei Wang

  • Dense Dilated Network With Probability Regularized Walk for Vessel Detection

    Lei Mou;Li Chen;Jun Cheng;Zaiwang Gu

  • Joint Resource Allocation for Latency-Sensitive Services Over Mobile Edge Computing Networks With Caching

    Jiao Zhang;Xiping Hu;Zhaolong Ning;Edith C.-H. Ngai

  • Pairwise constraints based multiview features fusion for scene classification

    Jun Yu;Dacheng Tao;Yong Rui;Jun Cheng

  • Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method

    Laisen Nie;Zhaolong Ning;Xiaojie Wang;Xiping Hu

  • Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution

    Yajun Qiu;Ruxin Wang;Dapeng Tao;Jun Cheng

  • Mobile Cyber Physical Systems: Current Challenges and Future Networking Applications

    Yanxiang Guo;Xiping Hu;Bin Hu;Jun Cheng

  • Semantic preserving distance metric learning and applications

    Jun Yu;Dapeng Tao;Jonathan Li;Jun Cheng

  • CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

    Lei Mou;Yitian Zhao;Huazhu Fu;Yonghuai Liu

Frequent Co-Authors

Jiang Liu
Jiang Liu Southern University of Science and Technology
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Dapeng Tao
Dapeng Tao Yunnan University
Xiping Hu
Xiping Hu Lanzhou University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Tien Yin Wong
Tien Yin Wong Tsinghua University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences
Shenghua Gao
Shenghua Gao ShanghaiTech University
Yanwu Xu
Yanwu Xu South China University of Technology

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