Zenglin Shi

1.3k total citations
18 papers, 602 citations indexed

About

Zenglin Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Zenglin Shi has authored 18 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Zenglin Shi's work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Zenglin Shi is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Zenglin Shi collaborates with scholars based in China, Netherlands and Singapore. Zenglin Shi's co-authors include Yangdong Ye, Le Zhang, Ming‐Ming Cheng, Guoyan Zheng, Yun Liu, Xiaofeng Cao, Joey Tianyi Zhou, Jia-Wang Bian, Yun Liu and Pascal Mettes and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Cybernetics.

In The Last Decade

Zenglin Shi

17 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zenglin Shi China 12 419 331 67 52 49 18 602
Zhengkai Jiang China 8 563 1.3× 358 1.1× 47 0.7× 22 0.4× 33 0.7× 20 747
Xiaolong Jiang China 11 522 1.2× 264 0.8× 78 1.2× 43 0.8× 68 1.4× 30 655
Jerome Liang United States 7 744 1.8× 525 1.6× 123 1.8× 87 1.7× 40 0.8× 12 887
Jiarui Cai United States 9 268 0.6× 146 0.4× 28 0.4× 16 0.3× 28 0.6× 23 480
Fudong Nian China 11 290 0.7× 108 0.3× 18 0.3× 9 0.2× 27 0.6× 35 401
Weijian Deng Australia 7 886 2.1× 196 0.6× 39 0.6× 13 0.3× 123 2.5× 20 1.0k
Henri Bouma Netherlands 13 360 0.9× 201 0.6× 34 0.5× 4 0.1× 54 1.1× 70 599
Chongyang Zhang China 8 883 2.1× 163 0.5× 209 3.1× 25 0.5× 39 0.8× 35 957
Horst Possegger Austria 12 600 1.4× 190 0.6× 64 1.0× 4 0.1× 29 0.6× 38 714

Countries citing papers authored by Zenglin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zenglin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zenglin Shi

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

All Works

18 of 18 papers shown
1.
Shi, Zenglin, et al.. (2025). Unveiling the Tapestry: The Interplay of Generalization and Forgetting in Continual Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15070–15084.
2.
Shi, Zenglin, Pascal Mettes, & Cees G. M. Snoek. (2024). Focus for Free in Density-Based Counting. International Journal of Computer Vision. 132(7). 2600–2617. 7 indexed citations
3.
Luo, Yimin, et al.. (2024). Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation. IEEE Journal of Biomedical and Health Informatics. 28(7). 4062–4071. 7 indexed citations
4.
Shi, Zenglin, Ying Sun, & Mengmi Zhang. (2024). Training-free Object Counting with Prompts. DR-NTU (Nanyang Technological University). 322–330. 15 indexed citations
5.
Hu, Shizhe, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, & Yangdong Ye. (2023). Multiview Clustering With Propagating Information Bottleneck. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9915–9929. 5 indexed citations
6.
Wang, Mingshu, et al.. (2022). Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images. Computers Environment and Urban Systems. 97. 101858–101858. 30 indexed citations
7.
Huang, Jia-Hong, Ting-Wei Wu, Chao-Han Huck Yang, et al.. (2022). Non-local Attention Improves Description Generation for Retinal Images. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3250–3259. 12 indexed citations
8.
Shi, Zenglin, Pascal Mettes, Subhransu Maji, & Cees G. M. Snoek. (2022). On Measuring and Controlling the Spectral Bias of the Deep Image Prior. International Journal of Computer Vision. 130(4). 885–908. 35 indexed citations
9.
Shi, Zenglin, et al.. (2021). Social Fabric: Tubelet Compositions for Video Relation Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13465–13474. 11 indexed citations
10.
Zhang, Le, Zenglin Shi, Joey Tianyi Zhou, et al.. (2020). Ordered or Orderless: A Revisit for Video Based Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(4). 1460–1466. 37 indexed citations
11.
Hu, Shizhe, Zenglin Shi, & Yangdong Ye. (2020). DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering. IEEE Transactions on Cybernetics. 52(6). 4260–4274. 25 indexed citations
12.
Zhang, Le, Zenglin Shi, Ming‐Ming Cheng, et al.. (2019). Nonlinear Regression via Deep Negative Correlation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 982–998. 96 indexed citations
13.
Shi, Zenglin, et al.. (2018). Study on Microstructure of directional solidified T91 steel. IOP Conference Series Earth and Environmental Science. 113. 12146–12146. 2 indexed citations
14.
Li, Xiangli, et al.. (2018). Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Transactions on Neural Networks and Learning Systems. 30(6). 1867–1880. 8 indexed citations
15.
Shi, Zenglin, Le Zhang, Yun Liu, et al.. (2018). Crowd Counting with Deep Negative Correlation Learning. UvA-DARE (University of Amsterdam). 5382–5390. 200 indexed citations
16.
Shi, Zenglin, et al.. (2018). Multiscale Multitask Deep NetVLAD for Crowd Counting. IEEE Transactions on Industrial Informatics. 14(11). 4953–4962. 33 indexed citations
17.
Ye, Yangdong, et al.. (2017). Collective Density Clustering for Coherent Motion Detection. IEEE Transactions on Multimedia. 20(6). 1418–1431. 11 indexed citations
18.
Shi, Zenglin, et al.. (2016). Rank-based pooling for deep convolutional neural networks. Neural Networks. 83. 21–31. 68 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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