Junwu Weng

857 total citations
9 papers, 420 citations indexed

About

Junwu Weng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Junwu Weng has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Junwu Weng's work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Human Motion and Animation (3 papers). Junwu Weng is often cited by papers focused on Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Human Motion and Animation (3 papers). Junwu Weng collaborates with scholars based in China, Singapore and United States. Junwu Weng's co-authors include Junsong Yuan, Liuhao Ge, Yujun Cai, Chaoqun Weng, Jue Wang, Zicheng Liu, Wei‐Long Zheng, Xudong Jiang, Yuexian Zou and Can Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Junwu Weng

9 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junwu Weng China 7 361 173 114 110 105 9 420
Yuncheng Li China 6 361 1.0× 204 1.2× 82 0.7× 132 1.2× 47 0.4× 7 429
Fu Xiong Singapore 6 222 0.6× 93 0.5× 40 0.4× 62 0.6× 53 0.5× 6 252
Tsz-Ho Yu United Kingdom 7 336 0.9× 225 1.3× 58 0.5× 110 1.0× 43 0.4× 7 425
Gyeongsik Moon South Korea 9 722 2.0× 227 1.3× 41 0.4× 173 1.6× 78 0.7× 17 799
Aouaidjia Kamel China 6 247 0.7× 78 0.5× 86 0.8× 24 0.2× 77 0.7× 10 333
Yu‐Hui Wen China 7 227 0.6× 47 0.3× 80 0.7× 51 0.5× 81 0.8× 22 303
Donglai Xiang United States 10 449 1.2× 74 0.4× 51 0.4× 88 0.8× 45 0.4× 17 544
Lin Gui China 3 461 1.3× 90 0.5× 54 0.5× 78 0.7× 74 0.7× 4 530
Lixin Yang China 6 341 0.9× 136 0.8× 22 0.2× 159 1.4× 66 0.6× 14 427
Matthew Trumble United Kingdom 5 287 0.8× 67 0.4× 22 0.2× 86 0.8× 74 0.7× 7 344

Countries citing papers authored by Junwu Weng

Since Specialization
Citations

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

Fields of papers citing papers by Junwu Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwu Weng

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

All Works

9 of 9 papers shown
1.
Zhang, Jiaxu, et al.. (2024). A Modular Neural Motion Retargeting System Decoupling Skeleton and Shape Perception. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6889–6904. 13 indexed citations
2.
Weng, Junwu, et al.. (2023). Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2751–2758. 3 indexed citations
3.
Zhang, Jiaxu, Junwu Weng, Di Kang, et al.. (2023). Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry. University of Birmingham Research Portal (University of Birmingham). 13864–13872. 21 indexed citations
4.
Zhao, Fang, Zekun Li, Shaoli Huang, et al.. (2023). Learning Anchor Transformations for 3D Garment Animation. 491–500. 6 indexed citations
5.
Zhang, Can, Tianyu Yang, Junwu Weng, et al.. (2022). Unsupervised Pre-training for Temporal Action Localization Tasks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14011–14021. 32 indexed citations
6.
Weng, Junwu, Xudong Jiang, Wei‐Long Zheng, & Junsong Yuan. (2020). Early Action Recognition With Category Exclusion Using Policy-Based Reinforcement Learning. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4626–4638. 31 indexed citations
7.
Weng, Junwu, Chaoqun Weng, Junsong Yuan, & Zicheng Liu. (2018). Discriminative Spatio-Temporal Pattern Discovery for 3D Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 29(4). 1077–1089. 34 indexed citations
8.
Ge, Liuhao, Yujun Cai, Junwu Weng, & Junsong Yuan. (2018). Hand PointNet: 3D Hand Pose Estimation Using Point Sets. 8417–8426. 193 indexed citations
9.
Weng, Junwu, Chaoqun Weng, & Junsong Yuan. (2017). Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition. 445–454. 87 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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