World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9325
World Ranking
6180
National Ranking
818

Jin Tang 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 Jin Tang 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: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Jin Tang 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 Jin Tang 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Jin Tang is affiliated with Anhui University in China, contributing extensively to research in computer science and engineering. Their work encompasses multiple subfields, including computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and biomedical engineering.

The scientist's research spans various topics within these areas, notably in video surveillance and tracking methods, advanced neural network applications, advanced image and video retrieval techniques, human pose and action recognition, visual attention and saliency detection, image enhancement techniques, and remote-sensing image classification.

Jin Tang has published a significant number of papers in well-recognized venues. Some of the recent papers include:

  • "Dual-polarization thin-film lithium niobate in-phase quadrature modulators for terabit-per-second transmission" (2021, Optica)
  • "SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing" (2022, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Quality-Aware Feature Aggregation Network for Robust RGBT Tracking" (2020, IEEE Transactions on Intelligent Vehicles)
  • "Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation" (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • "Remote Sensing Scene Classification via Multi-Branch Local Attention Network" (2021, IEEE Transactions on Image Processing)

The publication venues where Jin Tang frequently contributes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Collaborations form a notable part of their research. Frequent coauthors include Chenglong Li, Bin Luo, Si-Bao Chen, Bo Jiang, and Xiao Wang, reflecting ongoing research partnerships.

Best Publications

  • RGB-T object tracking: Benchmark and baseline

    Chenglong Li;Xinyan Liang;Yijuan Lu;Nan Zhao

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Semi-Supervised Learning With Graph Learning-Convolutional Networks

    Bo Jiang;Ziyan Zhang;Doudou Lin;Jin Tang

  • Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking

    Chenglong Li;Hui Cheng;Shiyi Hu;Xiaobai Liu

  • Dense Feature Aggregation and Pruning for RGBT Tracking

    Yabin Zhu;Chenglong Li;Bin Luo;Jin Tang

  • RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

    Andong Lu;Chenglong Li;Yuqing Yan;Jin Tang

  • Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking

    Chenglong Li;Nan Zhao;Yijuan Lu;Chengli Zhu

  • RGB-T Image Saliency Detection via Collaborative Graph Learning

    Zhengzheng Tu;Tian Xia;Chenglong Li;Xiaoxiao Wang

  • LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking.

    Chenglong Li;Wanlin Xue;Yaqing Jia;Zhichen Qu

  • Multi-Adapter RGBT Tracking

    Cheng Long Li;Andong Lu;Ai Hua Zheng;Zhengzheng Tu

  • Graph-Laplacian PCA: Closed-Form Solution and Robustness

    Bo Jiang;Chris Ding;Bio Luo;Jin Tang

  • Quality-Aware Feature Aggregation Network for Robust RGBT Tracking

    Yabin Zhu;Chenglong Li;Jin Tang;Bin Luo

  • Deep Adaptive Fusion Network for High Performance RGBT Tracking

    Yuan Gao;Chenglong Li;Yabin Zhu;Jin Tang

  • RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and a Novel Approach

    Guizhao Wang;Chenglong Li;Yunpeng Ma;Aihua Zheng

  • Challenge-Aware RGBT Tracking

    Chenglong Li;Lei Liu;Andong Lu;Qing Ji

  • Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking

    Chenglong Li;Chengli Zhu;Yan Huang;Jin Tang

  • Duality-Gated Mutual Condition Network for RGBT Tracking.

    Andong Lu;Cun Qian;Chenglong Li;Jin Tang

  • Fusing two-stream convolutional neural networks for RGB-T object tracking

    Chenglong Li;Xiaohao Wu;Nan Zhao;Xiaochun Cao

  • Remote Sensing Scene Classification via Multi-Branch Local Attention Network.

    Si-Bao Chen;Qing-Song Wei;Wen-Zhong Wang;Jin Tang

  • Large-Scale Graph Database Indexing Based on T-mixture Model and ICA

    Bin Luo;A. Zheng;Jin Tang;Haifeng Zhao

  • SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation

    Xiao Wang;Chenglong Li;Bin Luo;Jin Tang

  • An Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

    Youqing Wu;Youzhi Xiang;Yutang Guo;Jin Tang

  • Pedestrian Attribute Recognition: A Survey

    Xiao Wang;Shaofei Zheng;Rui Yang;Bin Luo

  • A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach

    Chenglong Li;Guizhao Wang;Yunpeng Ma;Aihua Zheng

Frequent Co-Authors

Bin Luo
Bin Luo Anhui University
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Liang Lin
Liang Lin Sun Yat-sen University
Amir Hussain
Amir Hussain Edinburgh Napier University
Liang Wang
Liang Wang Chinese Academy of Sciences
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Yijuan Lu
Yijuan Lu Texas State University
Chin-Chen Chang
Chin-Chen Chang Feng Chia University
Xinpeng Zhang
Xinpeng Zhang Fudan University

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