Kuan Zhu

987 total citations
11 papers, 406 citations indexed

About

Kuan Zhu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kuan Zhu has authored 11 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kuan Zhu's work include Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (4 papers) and Human Pose and Action Recognition (3 papers). Kuan Zhu is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (4 papers) and Human Pose and Action Recognition (3 papers). Kuan Zhu collaborates with scholars based in China, Belgium and Hong Kong. Kuan Zhu's co-authors include Jinqiao Wang, Haiyun Guo, Ming Tang, Jinming Zhou, Yanlin Song, Na Wu, Xu Zhao, Borong Yu, Yaowei Wang and Jing Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems and Journal of Materials Chemistry C.

In The Last Decade

Kuan Zhu

10 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuan Zhu China	8	235	112	88	65	55	11	406
Izhal Abdul Halin Malaysia	12	35 0.1×	208 1.9×	33 0.4×	306 4.7×	28 0.5×	60	517
Yongqiang Zhao China	7	98 0.4×	111 1.0×	39 0.4×	57 0.9×	14 0.3×	15	382
Xiaofan Feng China	15	250 1.1×	39 0.3×	122 1.4×	115 1.8×	97 1.8×	59	570
Usman Ali South Korea	11	245 1.0×	21 0.2×	59 0.7×	143 2.2×	170 3.1×	52	464
S. Krishnan India	10	26 0.1×	71 0.6×	27 0.3×	218 3.4×	24 0.4×	49	398
S. Sivaramakrishnan United States	11	53 0.2×	104 0.9×	41 0.5×	162 2.5×	24 0.4×	36	331
Antonio Gentile Italy	14	54 0.2×	65 0.6×	9 0.1×	328 5.0×	144 2.6×	29	510
Shiqi Chen China	12	64 0.3×	114 1.0×	32 0.4×	67 1.0×	58 1.1×	40	407
Yujia Li China	10	29 0.1×	153 1.4×	91 1.0×	232 3.6×	10 0.2×	43	433

Countries citing papers authored by Kuan Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Kuan Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Zhu

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

All Works

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11 of 11 papers shown

He, Jinghan, Kuan Zhu, Haiyun Guo, et al.. (2025). Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. 3488–3501. 1 indexed citations

Guo, Haiyun, et al.. (2024). SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models. 3254–3266.

Zhu, Kuan, Haiyun Guo, Shiliang Zhang, et al.. (2023). AAformer: Auto-Aligned Transformer for Person Re-Identification. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17307–17317. 81 indexed citations

Zhu, Kuan, et al.. (2022). Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8531–8542. 14 indexed citations

Zhu, Kuan, Haiyun Guo, Qinghai Miao, et al.. (2022). Multi-Granularity Mutual Learning Network for Object Re-Identification. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15178–15189. 18 indexed citations

Guo, Haiyun, Kuan Zhu, Sen Zhang, et al.. (2022). Hybrid Modality Metric Learning for Visible-Infrared Person Re-Identification. ACM Transactions on Multimedia Computing Communications and Applications. 18(1s). 1–15. 18 indexed citations

Li, Yuhuan, Kuan Zhu, Liqing Ai, et al.. (2021). Inkjet Printed Physically‐Unclonable Structural‐Color Anticounterfeiting Labels with Convenient Artificial Intelligence Authentication. Advanced Materials Interfaces. 8(21). 43 indexed citations

Guo, Haiyun, et al.. (2020). Unsupervised cycle-consistent person pose transfer. Neurocomputing. 453. 502–511. 3 indexed citations

Guo, Haiyun, Kuan Zhu, Ming Tang, & Jinqiao Wang. (2019). Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification. IEEE Transactions on Image Processing. 28(9). 4328–4338. 91 indexed citations

10.

Zhu, Kuan, et al.. (2019). Vehicle Re-Identification with Refined Part Model. 603–606. 18 indexed citations

11.

Yu, Borong, Zhiwei Liu, Kuan Zhu, et al.. (2019). Multi-mode structural-color anti-counterfeiting labels based on physically unclonable amorphous photonic structures with convenient artificial intelligence authentication. Journal of Materials Chemistry C. 7(45). 14069–14074. 119 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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