Neng Dong

606 total citations · 1 hit paper
10 papers, 316 citations indexed

About

Neng Dong is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Ocean Engineering. According to data from OpenAlex, Neng Dong has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 1 paper in Ocean Engineering. Recurrent topics in Neng Dong's work include Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Neng Dong is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Neng Dong collaborates with scholars based in China, Hong Kong and Singapore. Neng Dong's co-authors include Jinhui Tang, Shuanglin Yan, Liyan Zhang, Dapeng Tao, Zhengtao Yu, Guanqiu Qi, Huafeng Li, Liyan Zhang, Hao Tang and Hao Tang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Neng Dong

8 papers receiving 310 citations

Hit Papers

CLIP-Driven Fine-Grained Text-Image Person Re-Identification 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neng Dong China 6 260 78 49 17 13 10 316
Shuanglin Yan China 8 328 1.3× 80 1.0× 67 1.4× 27 1.6× 22 1.7× 11 399
Houjing Huang China 8 510 2.0× 210 2.7× 83 1.7× 12 0.7× 11 0.8× 9 559
Yuhao Chen China 9 313 1.2× 90 1.2× 39 0.8× 4 0.2× 12 0.9× 18 348
Yongxing Dai China 6 297 1.1× 146 1.9× 67 1.4× 16 0.9× 4 0.3× 9 333
Jianyang Gu China 8 127 0.5× 21 0.3× 59 1.2× 18 1.1× 8 0.6× 20 192
Neelanjan Bhowmik United Kingdom 9 103 0.4× 84 1.1× 50 1.0× 10 0.6× 5 0.4× 21 177
Siyu Zhu China 5 210 0.8× 71 0.9× 47 1.0× 11 0.6× 9 0.7× 12 287
Emrah Başaran Türkiye 5 476 1.8× 168 2.2× 43 0.9× 8 0.5× 8 0.6× 11 493
Yu-Jhe Li Taiwan 7 373 1.4× 107 1.4× 90 1.8× 13 0.8× 47 3.6× 7 414

Countries citing papers authored by Neng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Neng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neng Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Neng Dong. A scholar is included among the top collaborators of Neng Dong 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 Neng Dong. Neng Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Dong, Neng, Shuanglin Yan, Liyan Zhang, & Jinhui Tang. (2025). Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification. IEEE Transactions on Information Forensics and Security. 20. 12245–12259.
2.
Zhang, Yafei, et al.. (2025). Modalities collaboration and granularities interaction for fine–grained sketch-based image retrieval. Pattern Recognition. 171. 112157–112157. 1 indexed citations
3.
Yan, Shuanglin, Neng Dong, Shuang Li, & Huafeng Li. (2025). TriMatch: Triple Matching for Text-to-Image Person Re-Identification. IEEE Signal Processing Letters. 32. 806–810.
4.
Dong, Neng, et al.. (2025). CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification. IEEE Transactions on Multimedia. 27. 4137–4150. 7 indexed citations
5.
Yan, Shuanglin, Jun Liu, Neng Dong, Liyan Zhang, & Jinhui Tang. (2024). Prototypical Prompting for Text-to-image Person Re-identification. 2331–2340. 2 indexed citations
6.
Dong, Neng, Liyan Zhang, Shuanglin Yan, Hao Tang, & Jinhui Tang. (2023). Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4458–4472. 31 indexed citations
7.
Yan, Shuanglin, Neng Dong, Liyan Zhang, & Jinhui Tang. (2023). CLIP-Driven Fine-Grained Text-Image Person Re-Identification. IEEE Transactions on Image Processing. 32. 6032–6046. 130 indexed citations breakdown →
8.
Dong, Neng, Shuanglin Yan, Hao Tang, Jinhui Tang, & Liyan Zhang. (2023). Multi-view Information Integration and Propagation for occluded person re-identification. Information Fusion. 104. 102201–102201. 39 indexed citations
9.
Yan, Shuanglin, Neng Dong, Jun Liu, Liyan Zhang, & Jinhui Tang. (2023). Learning Comprehensive Representations with Richer Self for Text-to-Image Person Re-Identification. 6202–6211. 22 indexed citations
10.
Li, Huafeng, Neng Dong, Zhengtao Yu, Dapeng Tao, & Guanqiu Qi. (2021). Triple Adversarial Learning and Multi-View Imaginative Reasoning for Unsupervised Domain Adaptation Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2814–2830. 84 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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