Zhen-Duo Chen

965 total citations
40 papers, 636 citations indexed

About

Zhen-Duo Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zhen-Duo Chen has authored 40 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Zhen-Duo Chen's work include Advanced Image and Video Retrieval Techniques (27 papers), Multimodal Machine Learning Applications (17 papers) and Video Surveillance and Tracking Methods (15 papers). Zhen-Duo Chen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (27 papers), Multimodal Machine Learning Applications (17 papers) and Video Surveillance and Tracking Methods (15 papers). Zhen-Duo Chen collaborates with scholars based in China, Australia and Singapore. Zhen-Duo Chen's co-authors include Xin-Shun Xu, Xin Luo, Liqiang Nie, Yongxin Wang, Chuan-Xiang Li, Wei Zhang, Ye Wu, Pengfei Zhang, Xiangnan He and Zi-Chao Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Zhen-Duo Chen

33 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen-Duo Chen China 14 595 144 25 18 11 40 636
Xiangyang Li China 11 311 0.5× 179 1.2× 12 0.5× 19 1.1× 9 0.8× 34 395
Jen-Hao Hsiao United States 7 490 0.8× 95 0.7× 35 1.4× 25 1.4× 13 1.2× 17 543
Gengshen Wu China 8 389 0.7× 85 0.6× 34 1.4× 31 1.7× 6 0.5× 20 446
Thalaiyasingam Ajanthan Australia 7 239 0.4× 226 1.6× 15 0.6× 8 0.4× 9 0.8× 19 333
Dayan Wu China 14 500 0.8× 181 1.3× 38 1.5× 20 1.1× 11 1.0× 49 573
Curtis Wigington United States 9 217 0.4× 191 1.3× 41 1.6× 8 0.4× 11 1.0× 17 339
Zhimao Peng China 3 242 0.4× 203 1.4× 32 1.3× 14 0.8× 10 0.9× 5 343
Nicola Messina Italy 9 237 0.4× 125 0.9× 8 0.3× 10 0.6× 11 1.0× 26 304

Countries citing papers authored by Zhen-Duo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Duo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen-Duo Chen. 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 Zhen-Duo Chen. The network helps show where Zhen-Duo Chen may publish in the future.

Co-authorship network of co-authors of Zhen-Duo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Duo Chen. A scholar is included among the top collaborators of Zhen-Duo Chen 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 Zhen-Duo Chen. Zhen-Duo Chen 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.
Chen, Zhen-Duo, et al.. (2025). BTG-Net++: Enhanced Bi-Directional Task-Guided Network for Few-Shot Fine-Grained Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 11462–11473.
2.
Chen, Zhen-Duo, et al.. (2025). Class-Aware Prompting for Federated Few-Shot Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8520–8532.
3.
Xie, Xiaodong, et al.. (2025). Distributed Learning for Privacy-Preserving Semi-Supervised Video Anomaly Detection. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9161–9174.
4.
Chen, Zhen-Duo, et al.. (2025). OH-CMH: Towards cross-modal hashing for streaming data with hierarchical labels and label increment scenario. Knowledge-Based Systems. 324. 113796–113796. 1 indexed citations
5.
Luo, Xin, et al.. (2025). Federated class-incremental learning with prompting. Expert Systems with Applications. 297. 129416–129416.
6.
Chen, Zhen-Duo, et al.. (2025). Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 39(6). 6036–6044.
7.
Luo, Xin, et al.. (2024). POLISH: Adaptive Online Cross-Modal Hashing for Class Incremental Data. 4470–4478. 2 indexed citations
8.
Chen, Zhen-Duo, et al.. (2024). Bi-directional Task-Guided Network for Few-Shot Fine-Grained Image Classification. 8277–8286. 4 indexed citations
9.
Wang, Yongxin, Dong Feng, Kuikui Wang, Xiushan Nie, & Zhen-Duo Chen. (2024). Weighted cross-modal hashing with label enhancement. Knowledge-Based Systems. 293. 111657–111657. 7 indexed citations
10.
Chen, Zhen-Duo, et al.. (2024). Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4136–4144. 24 indexed citations
11.
Chen, Zhen-Duo, et al.. (2024). Microstructure and dynamic deformation mechanism of laser powder bed fusion of 316L-containing Ti–6Al–4V with dual-phase heterostructure. Journal of Materials Research and Technology. 33. 5976–5986. 1 indexed citations
12.
13.
Chen, Zhen-Duo, Lijun Zhao, Zi-Chao Zhang, Xin Luo, & Xin-Shun Xu. (2024). Characteristics Matching Based Hash Codes Generation for Efficient Fine-Grained Image Retrieval. 17273–17281. 7 indexed citations
14.
Luo, Xin, et al.. (2024). FedCAFE: Federated Cross-Modal Hashing with Adaptive Feature Enhancement. 9670–9679. 1 indexed citations
15.
Zhang, Zi-Chao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, & Xin-Shun Xu. (2023). A vision transformer for fine-grained classification by reducing noise and enhancing discriminative information. Pattern Recognition. 145. 109979–109979. 25 indexed citations
16.
Chen, Zhen-Duo, et al.. (2023). Semantic Enhanced Video Captioning with Multi-feature Fusion. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–21. 4 indexed citations
17.
Wang, Yongxin, et al.. (2022). Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast Cancer. ACM Transactions on Intelligent Systems and Technology. 14(2). 1–17. 4 indexed citations
18.
Wang, Yongxin, Zhen-Duo Chen, Xin Luo, & Xin-Shun Xu. (2021). High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding. 2900–2909. 13 indexed citations
19.
Chen, Zhen-Duo, Chuan-Xiang Li, Xin Luo, et al.. (2019). SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 30(7). 2262–2275. 95 indexed citations
20.
Chen, Zhen-Duo, Yongxin Wang, Huiqiong Li, et al.. (2019). A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps. 1694–1702. 44 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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