Changxing Ding

4.8k total citations · 3 hit papers
52 papers, 2.6k citations indexed

About

Changxing Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Changxing Ding has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Control and Systems Engineering. Recurrent topics in Changxing Ding's work include Human Pose and Action Recognition (17 papers), Face recognition and analysis (16 papers) and Video Surveillance and Tracking Methods (14 papers). Changxing Ding is often cited by papers focused on Human Pose and Action Recognition (17 papers), Face recognition and analysis (16 papers) and Video Surveillance and Tracking Methods (14 papers). Changxing Ding collaborates with scholars based in China, Australia and United States. Changxing Ding's co-authors include Dacheng Tao, Jonghyun Choi, Larry S. Davis, Chang Xu, Minfeng Liu, Shengcong Chen, Xin Lin, Jinquan Zeng, Zhiyin Shao and Jian Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Changxing Ding

50 papers receiving 2.5k citations

Hit Papers

Trunk-Branch Ensemble Convolutional Neural Networks for V... 2015 2026 2018 2022 2017 2015 2015 100 200 300
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. Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition
    2017 320 citations Changxing Ding, Dacheng Tao IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Robust Face Recognition via Multimodal Deep Face Representation
    2015 319 citations Changxing Ding, Dacheng Tao IEEE Transactions on Multimedia profile →
  3. Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
    2015 292 citations Changxing Ding, Jonghyun Choi 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
Changxing Ding China 24 2.3k 529 514 166 129 52 2.6k
Yan Lu China 25 2.1k 0.9× 689 1.3× 763 1.5× 101 0.6× 34 0.3× 135 2.8k
Meina Kan China 25 2.6k 1.2× 544 1.0× 1.1k 2.1× 98 0.6× 26 0.2× 52 3.2k
Erjin Zhou China 13 1.9k 0.8× 144 0.3× 689 1.3× 258 1.6× 54 0.4× 15 2.4k
Khoa Luu United States 19 1.1k 0.5× 259 0.5× 412 0.8× 102 0.6× 28 0.2× 94 1.7k
Juhan Nam South Korea 16 1.2k 0.5× 952 1.8× 875 1.7× 102 0.6× 21 0.2× 83 2.2k
Abdelmalik Taleb‐Ahmed France 18 776 0.3× 322 0.6× 360 0.7× 95 0.6× 35 0.3× 114 1.4k
Xiangbo Shu China 29 2.4k 1.0× 164 0.3× 1.1k 2.2× 275 1.7× 26 0.2× 86 2.9k
Zuxuan Wu China 28 2.3k 1.0× 178 0.3× 1.4k 2.7× 153 0.9× 23 0.2× 82 3.0k
Jonathan Brandt United States 17 1.9k 0.8× 342 0.6× 601 1.2× 51 0.3× 21 0.2× 32 2.4k
Xiangyuan Lan China 28 2.8k 1.2× 622 1.2× 394 0.8× 422 2.5× 15 0.1× 60 3.3k

Countries citing papers authored by Changxing Ding

Since Specialization
Citations

This map shows the geographic impact of Changxing Ding'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 Changxing Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changxing Ding more than expected).

Fields of papers citing papers by Changxing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changxing Ding. 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 Changxing Ding. The network helps show where Changxing Ding may publish in the future.

Co-authorship network of co-authors of Changxing Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Changxing Ding. A scholar is included among the top collaborators of Changxing Ding 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 Changxing Ding. Changxing Ding 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.
Wang, Guowei, et al.. (2025). Decoupled Prototype Learning for Reliable Test-Time Adaptation. IEEE Transactions on Multimedia. 27. 3585–3597. 2 indexed citations
2.
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4.
Liu, Daqing, et al.. (2024). MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. International Journal of Computer Vision. 132(9). 3537–3565. 1 indexed citations
5.
Cao, Qiong, et al.. (2024). Towards Variable and Coordinated Holistic Co-Speech Motion Generation. 1566–1576. 3 indexed citations
6.
Ding, Changxing, et al.. (2024). Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID. 17127–17137. 15 indexed citations
7.
Li, Xing’ao, et al.. (2024). Disentangled Pre-Training for Human-Object Interaction Detection. 28191–28201. 1 indexed citations
8.
Ding, Changxing, et al.. (2024). Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On. 7017–7026. 8 indexed citations
9.
Chen, Ziheng, et al.. (2023). GlobalAP: Global average precision optimization for person re-identification. Pattern Recognition. 142. 109682–109682. 4 indexed citations
10.
Xu, W., Zhiyin Shao, & Changxing Ding. (2023). Mining False Positive Examples for Text-Based Person Re-Identification. 1680–1684. 3 indexed citations
11.
Shao, Zhiyin, Xinyu Zhang, Changxing Ding, Jian Wang, & Jingdong Wang. (2023). Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification. 11140–11150. 36 indexed citations
12.
Zhao, Shanshan, et al.. (2023). Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation. 3866–3875. 1 indexed citations
13.
Chen, Shengcong, et al.. (2023). CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation. IEEE Transactions on Image Processing. 32. 980–994. 41 indexed citations
14.
Ding, Changxing, et al.. (2022). Quality-Aware Part Models for Occluded Person Re-Identification. IEEE Transactions on Multimedia. 25. 3154–3165. 67 indexed citations
15.
Ding, Changxing, et al.. (2022). Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. IEEE Transactions on Multimedia. 25. 2624–2635. 33 indexed citations
16.
Xu, Zhiliang, Zhibin Hong, Changxing Ding, et al.. (2022). MobileFaceSwap: A Lightweight Framework for Video Face Swapping. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2973–2981. 40 indexed citations
17.
Ding, Changxing, et al.. (2021). Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection. 13229–13238. 70 indexed citations
18.
Ding, Changxing, et al.. (2019). CDPM: Convolutional Deformable Part Models for Person Re-identification.. arXiv (Cornell University). 2 indexed citations
19.
Scheirer, Walter J., Patrick J. Flynn, Changxing Ding, et al.. (2016). Report on the BTAS 2016 Video Person Recognition Evaluation. 10. 1–8. 12 indexed citations
20.
Ding, Changxing, Jonghyun Choi, Dacheng Tao, & Larry S. Davis. (2015). Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(3). 518–531. 292 indexed citations breakdown →

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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