Limin Wang

22.3k total citations · 10 hit papers
144 papers, 6.8k citations indexed

About

Limin Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Limin Wang has authored 144 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Limin Wang's work include Human Pose and Action Recognition (64 papers), Multimodal Machine Learning Applications (36 papers) and Anomaly Detection Techniques and Applications (34 papers). Limin Wang is often cited by papers focused on Human Pose and Action Recognition (64 papers), Multimodal Machine Learning Applications (36 papers) and Anomaly Detection Techniques and Applications (34 papers). Limin Wang collaborates with scholars based in China, Hong Kong and Switzerland. Limin Wang's co-authors include Yu Qiao, Gangshan Wu, Xiaoou Tang, Luc Van Gool, Yuanjun Xiong, Dahua Lin, Xiaojiang Peng, Yutao Cui, Bin Ji and Zhe Wang and has published in prestigious journals such as Physical Review Letters, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Limin Wang

135 papers receiving 6.7k citations

Hit Papers

5 papers align trajectories

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.

Temporal Segment Networks for Action Recognition in Videos

2018 585 citations Limin Wang, Yuanjun Xiong et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
MixFormer: End-to-End Tracking with Iterative Mixed Attention

2022 464 citations Limin Wang, Gangshan Wu et al. profile →
Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice

2016 445 citations Limin Wang, Yu Qiao et al. Computer Vision and Image Understanding profile →
TEA: Temporal Excitation and Aggregation for Action Recognition

2020 368 citations Yan Li, Bin Ji et al. profile →
UntrimmedNets for Weakly Supervised Action Recognition and Detection

2017 325 citations Limin Wang, Yuanjun Xiong et al. profile →
TDN: Temporal Difference Networks for Efficient Action Recognition

2021 310 citations Limin Wang, Bin Ji et al. profile →
A review of convolutional neural networks in computer vision

2024 273 citations Limin Wang et al. profile →
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

2021 202 citations Limin Wang et al. profile →
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

2023 179 citations Limin Wang, Yinan He et al. profile →
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

2024 88 citations Limin Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Limin Wang China	44	5.7k	2.9k	1.2k	626	325	144	6.8k
Lorenzo Torresani United States	30	4.8k 0.8×	2.3k 0.8×	698 0.6×	428 0.7×	366 1.1×	77	6.1k
Yuanjun Xiong Hong Kong	18	5.1k 0.9×	3.2k 1.1×	1.4k 1.2×	764 1.2×	151 0.5×	34	6.7k
Alexander Toshev United States	17	7.2k 1.3×	3.4k 1.2×	612 0.5×	661 1.1×	414 1.3×	27	9.1k
Hong Liu China	36	4.4k 0.8×	1.6k 0.6×	902 0.8×	505 0.8×	382 1.2×	295	6.1k
Yifan Zhang China	25	4.4k 0.8×	1.9k 0.7×	1.8k 1.5×	1.0k 1.6×	306 0.9×	99	5.7k
George Toderici United States	21	6.2k 1.1×	2.8k 1.0×	1.1k 0.9×	599 1.0×	112 0.3×	28	7.6k
Marcus Rohrbach United States	32	8.5k 1.5×	4.9k 1.7×	778 0.7×	522 0.8×	170 0.5×	42	10.5k
Junliang Xing China	37	7.2k 1.3×	2.0k 0.7×	1.7k 1.4×	786 1.3×	902 2.8×	152	8.1k
Jüergen Gall Germany	45	5.0k 0.9×	1.5k 0.5×	629 0.5×	906 1.4×	421 1.3×	131	6.2k
Ling‐Yu Duan China	47	6.8k 1.2×	2.0k 0.7×	1.2k 1.0×	527 0.8×	384 1.2×	241	7.8k

Countries citing papers authored by Limin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Limin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limin Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Yifei, Jilan Xu, Xinyuan Chen, et al.. (2025). Vinci: A Real-time Smart Assistant Based on Egocentric Vision-language Model for Portable Devices. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(3). 1–33. 1 indexed citations

Mao, Jiashun, et al.. (2025). MolRL: Self-supervised molecular image representation learning via graph structure bootstrapping. Pattern Recognition. 172. 112773–112773.

Chen, Xu, et al.. (2024). Progressive Visual Prompt Learning with Contrastive Feature Re-formation. International Journal of Computer Vision. 133(2). 511–526. 10 indexed citations

Huang, Weilin, et al.. (2024). End-to-end dense video grounding via parallel regression. Computer Vision and Image Understanding. 242. 103980–103980. 2 indexed citations

Yang, Min, et al.. (2023). BasicTAD: An astounding RGB-Only baseline for temporal action detection. Computer Vision and Image Understanding. 232. 103692–103692. 27 indexed citations

Li, Kunchang, Yali Wang, Yinan He, et al.. (2023). UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding. 1632–1643. 26 indexed citations

Wang, Limin, et al.. (2023). An Approximation Algorithm for a Variant of Dominating Set Problem. Axioms. 12(6). 506–506. 1 indexed citations

Wang, Limin, et al.. (2023). RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection. 135–143. 2 indexed citations

Wu, Gangshan, et al.. (2023). Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12506–12520. 8 indexed citations

10.

Wang, Limin, et al.. (2023). Open Set Safety Assessment With Complementary Labels. 30. 1–5.

11.

Wang, Limin, et al.. (2023). MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking. 9867–9876. 44 indexed citations

12.

Li, Yan, Bin Ji, Xintian Shi, et al.. (2020). TEA: Temporal Excitation and Aggregation for Action Recognition. 906–915. 368 indexed citations breakdown →

13.

Gao, Chengying, Qi Liu, Qi Xu, et al.. (2020). Image Generation from Freehand Scene Sketches. arXiv (Cornell University). 1 indexed citations

14.

Guo, Sheng, et al.. (2020). V4D: 4D Covolutional Neural Networks for Video-level Representations Learning. International Conference on Learning Representations. 5 indexed citations

15.

Wang, Limin, et al.. (2017). Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs. IEEE Transactions on Image Processing. 26(4). 2055–2068. 112 indexed citations

16.

Wang, Limin, et al.. (2017). Winter wheat stripe rust remote sensing monitoring based on GF-1/WFV data.. Nongye gongcheng xuebao. 33(20). 153–160. 4 indexed citations

17.

Song, Jie, Limin Wang, Luc Van Gool, & Otmar Hilliges. (2017). Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos. 5563–5572. 82 indexed citations

18.

Guo, Sheng, et al.. (2016). Locally Supervised Deep Hybrid Model for Scene Recognition. IEEE Transactions on Image Processing. 26(2). 808–820. 60 indexed citations

19.

Wang, Limin. (1999). ON THE GENESIS OF THE YUSHUI POLYMETALLIC DEPOSIT IN MEIXIAN COUNTY, GUANGDONG PROVINCE. Dadi gouzao yu chengkuangxue. 4 indexed citations

20.

Wang, Limin & M. Goldberg. (1986). Progressive Image Transmission by Multistage Transform Coefficient Quantization.. International Conference on Communications. 419–423. 4 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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