Weihong Li

436 total citations
14 papers, 236 citations indexed

About

Weihong Li is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Weihong Li has authored 14 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Mechanical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Weihong Li's work include Human Pose and Action Recognition (5 papers), Video Surveillance and Tracking Methods (4 papers) and Multimodal Machine Learning Applications (3 papers). Weihong Li is often cited by papers focused on Human Pose and Action Recognition (5 papers), Video Surveillance and Tracking Methods (4 papers) and Multimodal Machine Learning Applications (3 papers). Weihong Li collaborates with scholars based in China, United Kingdom and Taiwan. Weihong Li's co-authors include Wei‐Shi Zheng, Chao Jiang, X.G. Wang, Qihong Fang, Bin Liu, Jianing Wu, Shudong Yu, Jiadong Yu, Yujun Wei and Yong Tang and has published in prestigious journals such as Advanced Functional Materials, Materials Science and Engineering A and IEEE Access.

In The Last Decade

Weihong Li

13 papers receiving 229 citations

Peers

Weihong Li
Peng Kang China
Weihong Li
Citations per year, relative to Weihong Li Weihong Li (= 1×) peers Peng Kang

Countries citing papers authored by Weihong Li

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihong Li

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

All Works

14 of 14 papers shown
1.
Li, Weihong, et al.. (2025). Fatigue-crack blunting mediated by high-density dislocations in a CrMnFeCoNi high-entropy alloy at intermediate temperatures. Materials Characterization. 230. 115680–115680. 1 indexed citations
2.
Yu, Shudong, Yujun Wei, Weihong Li, et al.. (2024). Enhancing efficiency of interfacial solar steam generation with biomimetic hierarchical porous graphene activated by NaOH. Desalination. 586. 117909–117909. 18 indexed citations
3.
Li, Weihong, et al.. (2024). Identification of Tailing Ponds From Multi-Source and High-Resolution Remote Sensing Imageries Using Deep Learning-Based Method. IEEE Access. 12. 134568–134577. 1 indexed citations
5.
Wei, Yujun, Weihong Li, Jiadong Yu, et al.. (2024). Laser‐Induced Porous Graphene/CuO Composite for Efficient Interfacial Solar Steam Generation. Advanced Functional Materials. 34(28). 53 indexed citations
6.
Li, Weihong, Xialei Liu, & Hakan Bilen. (2023). Universal Representations: A Unified Look at Multiple Task and Domain Learning. International Journal of Computer Vision. 132(5). 1521–1545. 13 indexed citations
7.
Hong, Fa-Ting, et al.. (2022). Learning Relation Models to Detect Important People in Still Images. IEEE Transactions on Multimedia. 25. 6601–6615. 1 indexed citations
8.
Long, Xiangyun, et al.. (2021). Deep learning-based planar crack damage evaluation using convolutional neural networks. Engineering Fracture Mechanics. 246. 107604–107604. 35 indexed citations
9.
Li, Weihong, et al.. (2019). One-pass person re-identification by sketch online discriminant analysis. Pattern Recognition. 93. 237–250. 17 indexed citations
10.
Li, Weihong, Fa-Ting Hong, & Wei‐Shi Zheng. (2019). Learning to Learn Relation for Important People Detection in Still Images. 4998–5006. 20 indexed citations
11.
Li, Weihong, Benchao Li, & Wei‐Shi Zheng. (2018). PersonRank: Detecting Important People in Images. 234–241. 10 indexed citations
12.
Li, Weihong, X.G. Wang, Bin Liu, Qihong Fang, & Chao Jiang. (2018). Fracture mechanisms of a Mo alloyed CoCrFeNi high entropy alloy: In-situ SEM investigation. Materials Science and Engineering A. 723. 79–88. 57 indexed citations
13.
Li, Weihong, et al.. (2016). Sketch metric learning. 2439–2446. 1 indexed citations
14.

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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