Jin Tang

Active 1984–2026

718
Papers
26,560
Citations
81
h-index
340
i10-index

Citations

Citations per year for Jin Tang1968: 1 citations1985: 3 citations1986: 2 citations1987: 5 citations1988: 3 citations1989: 4 citations1990: 1 citations1991: 5 citations1992: 19 citations1993: 19 citations1994: 20 citations1995: 39 citations1996: 17 citations1997: 36 citations1998: 28 citations1999: 50 citations2000: 47 citations2001: 50 citations2002: 76 citations2003: 72 citations2004: 101 citations2005: 74 citations2006: 101 citations2007: 72 citations2008: 85 citations2009: 65 citations2010: 83 citations2011: 100 citations2012: 131 citations2013: 129 citations2014: 123 citations2015: 139 citations2016: 186 citations2017: 291 citations2018: 343 citations2019: 669 citations2020: 967 citations2021: 1,148 citations2022: 1,145 citations2023: 1,551 citations2024: 2,043 citations2025: 1,980 citations2026: 430 citations2027: 1 citations1969–1984: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,982 citing papers, 39.7% of this breakdownUnited States: 1,908 citing papers, 15.2% of this breakdownUnited Kingdom: 570 citing papers, 4.5% of this breakdownIndia: 413 citing papers, 3.3% of this breakdownCanada: 350 citing papers, 2.8% of this breakdownGermany: 340 citing papers, 2.7% of this breakdownAustralia: 309 citing papers, 2.5% of this breakdownJapan: 241 citing papers, 1.9% of this breakdownSouth Korea: 231 citing papers, 1.8% of this breakdownHong Kong: 208 citing papers, 1.7% of this breakdownFrance: 201 citing papers, 1.6% of this breakdownItaly: 191 citing papers, 1.5% of this breakdown
0%39.7%Other 20.8%

Fields

  • Computer Science38%
  • Medicine18.4%
  • Biochemistry, Genetics and Molecular Biology17.1%
  • Engineering16.7%
  • Immunology and Microbiology1.9%
  • Materials Science1.3%
  • Other6.6%

Topics

  • Video Surveillance and Tracking Methods4.2%
  • Advanced Neural Network Applications3%
  • Advanced Image and Video Retrieval Techniques2.5%
  • Visual Attention and Saliency Detection2%
  • Remote-Sensing Image Classification2%
  • Human Pose and Action Recognition1.7%
  • Other84.6%

Coauthors

All papers

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  1. LasHeR: A Large-Scale High-Diversity Benchmark for RGBT Tracking

    Authors: , , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2021 cited by 257

  2. Semi-Supervised Learning With Graph Learning-Convolutional Networks

    Authors: , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 436

  3. SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Authors: , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2022 cited by 322

  4. Attribute-Based Progressive Fusion Network for RGBT Tracking

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2022 cited by 205

  5. RGB-T Image Saliency Detection via Collaborative Graph Learning

    Authors: , , , , , - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2019 cited by 257

  6. Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2016 cited by 383

  7. MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning

    Authors: , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 151

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

    Authors: , , , , - international conference on Multimedia, ACM Multimedia 2017 cited by 254

  9. RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2021 cited by 168

  10. Duality-Gated Mutual Condition Network for RGBT Tracking

    Authors: , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 cited by 150

  11. Quality-Aware Feature Aggregation Network for Robust RGBT Tracking

    Authors: , , , - IEEE Transactions on Intelligent Vehicles, IEEE Trans. Intell. Veh. 2020 cited by 181

  12. State Space Model for New-Generation Network Alternative to Transformers: A Survey

    Authors: , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 74

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

    Authors: , , , , , - Communications in computer and information science, IGTA 2018 cited by 169

  14. RGBT Tracking by Trident Fusion Network

    Authors: , , , , - IEEE Transactions on Circuits and Systems for Video Technology, IEEE Trans. Circuits Syst. Video Technol. 2021 cited by 128

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

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2021 cited by 146

  16. Deep Adaptive Fusion Network for High Performance RGBT Tracking

    Authors: , , , , , - IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), ICCV Workshops 2019 cited by 166

  17. Weakly Alignment-Free RGBT Salient Object Detection With Deep Correlation Network

    Authors: , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2022 cited by 94

  18. Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization

    Authors: , , , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2022 cited by 104

  19. Dense Feature Aggregation and Pruning for RGBT Tracking

    Authors: , , , , - International Conference on Multimedia, ACM Multimedia 2019 cited by 176

  20. Reliable Contrastive Learning for Semi-Supervised Change Detection in Remote Sensing Images

    Authors: , , , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2022 cited by 64

  21. Space-Selective Chemodynamic Therapy of CuFe5O8 Nanocubes for Implant-Related Infections

    Authors: , , , , , , , , , , - ACS Nano 2020 cited by 205

  22. Changes in colistin resistance and mcr-1 abundance in Escherichia coli of animal and human origins following the ban of colistin-positive additives in China: an epidemiological comparative study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xiaorong Yang, Congming Wu, Shixin Xu, Timothy R. Walsh, Jianzhong Shen - The Lancet Infectious Diseases 2020 cited by 345

  23. Bioresponsive nano-antibacterials for H 2 S-sensitized hyperthermia and immunomodulation against refractory implant–related infections

    Authors: , , , , , , , , , , , - Science Advances 2022 cited by 118

  24. Robust Multi-Modality Person Re-identification

    Authors: , , , , - AAAI Conference on Artificial Intelligence 2021 cited by 58