Chenggang Yan

14.4k total citations · 12 hit papers
259 papers, 10.0k citations indexed

About

Chenggang Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chenggang Yan has authored 259 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 38 papers in Media Technology. Recurrent topics in Chenggang Yan's work include Advanced Image and Video Retrieval Techniques (67 papers), Advanced Neural Network Applications (37 papers) and Visual Attention and Saliency Detection (34 papers). Chenggang Yan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (67 papers), Advanced Neural Network Applications (37 papers) and Visual Attention and Saliency Detection (34 papers). Chenggang Yan collaborates with scholars based in China, United States and Australia. Chenggang Yan's co-authors include Yongdong Zhang, Qionghai Dai, Yi Yang, Liang Li, Liang Zheng, Zhu‐Hong You, Feng Dai, Yu Wu, Jiyong Zhang and Yutian Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Chenggang Yan

238 papers receiving 9.8k citations

Hit Papers

Improving person re-ident... 2014 2026 2018 2022 2019 2015 2016 2018 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Improving person re-identification by attribute and identity learning
    2019 540 citations Yutian Lin, Zhedong Zheng et al. Pattern Recognition profile →
  2. Drug–target interaction prediction: databases, web servers and computational models
    2015 490 citations Chenggang Yan, Yongdong Zhang et al. profile →
  3. Long non-coding RNAs and complex diseases: from experimental results to computational models
    2016 484 citations Chenggang Yan et al. profile →
  4. Unsupervised Person Re-identification
    2018 476 citations Chenggang Yan, Yi Yang et al. profile →
  5. Deep Multi-View Enhancement Hashing for Image Retrieval
    2020 364 citations Chenggang Yan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  6. Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors
    2014 346 citations Chenggang Yan, Yongdong Zhang et al. profile →
  7. CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion
    2017 337 citations Chenggang Yan et al. profile →
  8. A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors
    2014 316 citations Chenggang Yan, Yongdong Zhang et al. profile →
  9. STAT: Spatial-Temporal Attention Mechanism for Video Captioning
    2019 304 citations Chenggang Yan, Yongdong Zhang et al. IEEE Transactions on Multimedia profile →
  10. Task-Adaptive Attention for Image Captioning
    2021 255 citations Chenggang Yan, Liang Li et al. profile →
  11. Age-Invariant Face Recognition by Multi-Feature Fusionand Decomposition with Self-attention
    2022 154 citations Chenggang Yan, Liang Li et al. profile →
  12. Frequency-Aware Feature Fusion for Dense Image Prediction
    2024 59 citations Ying Fu, Chenggang Yan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenggang Yan China 45 6.2k 1.7k 1.5k 1.3k 960 259 10.0k
De-Shuang Huang China 58 3.4k 0.6× 4.1k 2.3× 2.6k 1.7× 926 0.7× 461 0.5× 331 11.1k
Ivor W. Tsang Singapore 54 6.8k 1.1× 430 0.2× 7.3k 4.9× 299 0.2× 344 0.4× 280 12.1k
Junchi Yan China 44 5.0k 0.8× 592 0.3× 2.4k 1.6× 136 0.1× 183 0.2× 267 8.7k
Rongrong Ji China 68 14.7k 2.4× 764 0.4× 6.6k 4.5× 126 0.1× 1.1k 1.1× 477 19.7k
Dong Xu China 60 12.1k 2.0× 347 0.2× 5.3k 3.6× 195 0.1× 1.3k 1.3× 221 15.8k
Gao Huang China 44 5.6k 0.9× 268 0.2× 4.9k 3.3× 223 0.2× 763 0.8× 196 10.8k
Fei Sha China 42 3.6k 0.6× 326 0.2× 4.9k 3.3× 282 0.2× 240 0.3× 218 9.0k
Heng Tao Shen China 73 14.5k 2.3× 338 0.2× 7.4k 5.0× 262 0.2× 544 0.6× 511 19.9k
Deng Cai China 61 9.8k 1.6× 803 0.5× 7.0k 4.7× 97 0.1× 467 0.5× 231 15.7k
Xiaofeng Zhu China 54 4.7k 0.8× 710 0.4× 4.4k 3.0× 80 0.1× 462 0.5× 239 10.1k

Countries citing papers authored by Chenggang Yan

Since Specialization
Citations

This map shows the geographic impact of Chenggang Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chenggang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenggang Yan more than expected).

Fields of papers citing papers by Chenggang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenggang Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chenggang Yan. The network helps show where Chenggang Yan may publish in the future.

Co-authorship network of co-authors of Chenggang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chenggang Yan. A scholar is included among the top collaborators of Chenggang Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chenggang Yan. Chenggang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhao, Sicheng, S. Lu, Hui Chen, et al.. (2025). Source-Free Object Detection With Detection Transformer. IEEE Transactions on Image Processing. 34. 5948–5963. 1 indexed citations
3.
Chen, Weidong, et al.. (2024). Improving radiology report generation with multi-grained abnormality prediction. Neurocomputing. 600. 128122–128122. 8 indexed citations
4.
Zheng, Bolun, et al.. (2024). GoLDFormer: A global–local deformable window transformer for efficient image restoration. Journal of Visual Communication and Image Representation. 100. 104117–104117.
5.
Wang, Tingyu, Zhedong Zheng, Yaoqi Sun, et al.. (2024). Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognition. 152. 110363–110363. 19 indexed citations
6.
Zhang, Junjie, et al.. (2024). A streamlined framework for BEV-based 3D object detection with prior masking. Image and Vision Computing. 150. 105229–105229.
7.
Liu, Mingxia, et al.. (2024). Dynamic domain generalization for medical image segmentation. Neural Networks. 184. 107073–107073. 3 indexed citations
8.
Zhang, Hansong, Shikun Li, Dan Zeng, Chenggang Yan, & Shiming Ge. (2024). Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16732–16740. 5 indexed citations
9.
Zheng, Bolun, et al.. (2024). Indoor Scene Reconstruction Using a Rotating Device and Multiple RGB-D Cameras. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 1 indexed citations
10.
Li, Liang, et al.. (2024). Stochastic Context Consistency Reasoning for Domain Adaptive Object Detection. 1331–1340. 2 indexed citations
11.
Wang, Tingyu, et al.. (2024). Learning Cross-View Geo-Localization Embeddings via Dynamic Weighted Decorrelation Regularization. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 9 indexed citations
12.
Zhang, Hua, et al.. (2023). Feature rectification and enhancement for no-reference image quality assessment. Journal of Visual Communication and Image Representation. 98. 104030–104030. 3 indexed citations
13.
Zou, Yunhao, Chenggang Yan, & Ying Fu. (2023). RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image. 12300–12310. 13 indexed citations
14.
Ge, Shiming, et al.. (2023). Learning Shape-Biased Representations for Infrared Small Target Detection. IEEE Transactions on Multimedia. 26. 4681–4692. 18 indexed citations
15.
Zheng, Bolun, Shanxin Yuan, Chenggang Yan, et al.. (2021). Learning Frequency Domain Priors for Image Demoireing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7705–7717. 47 indexed citations
16.
Lin, Yutian, Yu Wu, Chenggang Yan, Mingliang Xu, & Yi Yang. (2020). Unsupervised Person Re-identification via Cross-Camera Similarity Exploration. IEEE Transactions on Image Processing. 29. 5481–5490. 77 indexed citations
17.
Liu, Bingtao, et al.. (2018). SACMDA: MiRNA-Disease Association Prediction with Short Acyclic Connections in Heterogeneous Graph. Neuroinformatics. 16(3-4). 373–382. 19 indexed citations
18.
Liu, Bingtao, et al.. (2018). Predict MiRNA-Disease Association with Collaborative Filtering. Neuroinformatics. 16(3-4). 363–372. 30 indexed citations
19.
Li, Zhisheng, Bingtao Liu, & Chenggang Yan. (2017). CFMDA: collaborative filtering-based MiRNA-disease association prediction. Multimedia Tools and Applications. 78(1). 605–618. 6 indexed citations
20.
Chen, Xing, Chenggang Yan, Cai Luo, et al.. (2015). Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity. Scientific Reports. 5(1). 11338–11338. 195 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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