Wu Liu

6.7k total citations · 4 hit papers
139 papers, 3.5k citations indexed

About

Wu Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Wu Liu has authored 139 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 19 papers in Biomedical Engineering. Recurrent topics in Wu Liu's work include Human Pose and Action Recognition (54 papers), Video Surveillance and Tracking Methods (45 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Wu Liu is often cited by papers focused on Human Pose and Action Recognition (54 papers), Video Surveillance and Tracking Methods (45 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Wu Liu collaborates with scholars based in China, United States and Japan. Wu Liu's co-authors include Huadóng Ma, Xinchen Liu, Tao Mei, Huiyuan Fu, Tao Mei, Lingxiao He, Qian Bao, Yu Sun, Chenggang Yan and Yili Fu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Environmental Pollution and Chemosphere.

In The Last Decade

Wu Liu

127 papers receiving 3.4k citations

Hit Papers

Large-scale vehicle re-identification in urban surveillan... 2016 2026 2019 2022 2016 2017 2022 2023 100 200 300
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.

  1. Large-scale vehicle re-identification in urban surveillance videos
    2016 361 citations Xinchen Liu, Wu Liu et al. profile →
  2. PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance
    2017 316 citations Xinchen Liu, Wu Liu et al. IEEE Transactions on Multimedia profile →
  3. Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
    2022 139 citations Wu Liu, Yu Sun et al. profile →
  4. FastReID: A Pytorch Toolbox for General Instance Re-identification
    2023 112 citations Lingxiao He, Wu Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wu Liu China 32 2.9k 811 750 279 224 139 3.5k
Yanghao Li China 17 2.5k 0.9× 508 0.6× 1.2k 1.6× 209 0.7× 269 1.2× 36 3.2k
Greg Mori Canada 34 3.2k 1.1× 642 0.8× 1.6k 2.1× 114 0.4× 353 1.6× 102 4.0k
Shiliang Pu China 33 2.9k 1.0× 385 0.5× 1.8k 2.4× 358 1.3× 182 0.8× 150 3.9k
Weiming Hu China 18 2.2k 0.8× 1.2k 1.5× 1.3k 1.7× 79 0.3× 378 1.7× 43 3.2k
Feng Zheng China 31 2.7k 1.0× 524 0.6× 965 1.3× 217 0.8× 142 0.6× 133 3.6k
Zifeng Wu China 10 1.5k 0.5× 678 0.8× 544 0.7× 301 1.1× 200 0.9× 26 2.3k
Chuang Gan United States 38 4.5k 1.6× 723 0.9× 2.6k 3.5× 98 0.4× 344 1.5× 114 5.5k
Ahmad Jalal Pakistan 41 3.4k 1.2× 880 1.1× 1.2k 1.5× 139 0.5× 506 2.3× 78 4.3k
Errui Ding China 37 4.3k 1.5× 246 0.3× 1.2k 1.6× 682 2.4× 145 0.6× 114 4.9k

Countries citing papers authored by Wu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Liu. A scholar is included among the top collaborators of Wu Liu 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 Wu Liu. Wu Liu 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.
Wang, Zhihui, et al.. (2025). Association of organophosphorus pesticides and glyphosate exposure with nasal flora and total IgE in solar greenhouse workers: A unique farmer group. Environmental Pollution. 368. 125698–125698. 1 indexed citations
2.
Zhang, Bo, et al.. (2025). MM-MoE: A Disease-oriented Multi-Task and Multi-View Framework for Generalized Cardiac Segmentation. ACM Transactions on Multimedia Computing Communications and Applications.
3.
Long, Fuchen, Zhaofan Qiu, Yingwei Pan, et al.. (2025). MotionPro: A Precise Motion Controller for Image-to-Video Generation*. 27957–27967.
4.
5.
Pan, Xianhui, et al.. (2024). Highly integrated, self-powered and activatable bipedal DNA nanowalker for imaging of base excision repair in living cells. Journal of Nanobiotechnology. 22(1). 636–636. 8 indexed citations
6.
Wei, Yunchao, et al.. (2024). Single-Frame Supervision for Spatio-Temporal Video Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5177–5191. 2 indexed citations
7.
Liu, Xinchen, et al.. (2024). It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment. 8786–8794. 2 indexed citations
8.
Chen, Xiaohong, et al.. (2024). ChatVTG: Video Temporal Grounding via Chat with Video Dialogue Large Language Models. 1847–1856. 3 indexed citations
9.
Ge, Wei, et al.. (2024). Rapid Design of Structural Parameters of Axial-flux Micro-motor Based on Deep Learning. Journal of Electrical Engineering and Technology. 19(8). 4941–4951. 2 indexed citations
10.
11.
Yang, Fan, et al.. (2024). Modeling the Segmental Lining Behavior Using an Analytical Segmental Joint Model. Periodica Polytechnica Civil Engineering. 69(1). 280–292.
12.
Lu, Huaxiang, et al.. (2023). Bird-Count: a multi-modality benchmark and system for bird population counting in the wild. Multimedia Tools and Applications. 82(29). 45293–45315.
13.
14.
Yang, Jianyu, Wu Liu, Junsong Yuan, & Tao Mei. (2020). Hierarchical Soft Quantization for Skeleton-Based Human Action Recognition. IEEE Transactions on Multimedia. 23. 883–898. 40 indexed citations
15.
Liu, Wu, et al.. (2020). A Real-Time Action Representation With Temporal Encoding and Deep Compression. IEEE Transactions on Circuits and Systems for Video Technology. 31(2). 647–660. 35 indexed citations
16.
He, Lingxiao, Xingyu Liao, Wu Liu, et al.. (2020). FastReID: A Pytorch Toolbox for Real-world Person Re-identification. arXiv (Cornell University). 13 indexed citations
17.
Sun, Yu, Yun Ye, Wu Liu, et al.. (2019). Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation. 5348–5357. 116 indexed citations
18.
He, Lingxiao, Yinggang Wang, Wu Liu, et al.. (2019). Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification. 8449–8458. 90 indexed citations
19.
Wu, Ying, Wu Liu, Huawen Wu, & Peng Zhang. (2014). Peak cycle stress analysis of plain dent on pipeline based on FE calculation. Journal of Vibroengineering. 16(3). 1268–1275. 3 indexed citations
20.
Liu, Wu. (2007). Exploration of an Index Model of Passenger Satisfaction on Urban Transit Services. Urban Transport of China. 2 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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