Yuhong Li
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Safety, Risk, Reliability and Quality top 2%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Co-authors
- Xiaofan ZhangDeming ChenHui XueJianzhong ZhouRengcun FangYongchuan ZhangYuefeng ChenYuan He
- Topics
- Video Surveillance and Tracking Methods (5 papers)Multimodal Machine Learning Applications (5 papers)Human Pose and Action Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceSafety, Risk, Reliability and Quality
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yuhong Li
34 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 954
- Artificial Intelligence 762
- Safety, Risk, Reliability and Quality 191
- Management Science and Operations Research 133
- Electrical and Electronic Engineering 123
Countries citing papers authored by Yuhong Li
This map shows the geographic impact of Yuhong 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 Yuhong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhong Li more than expected).
Fields of papers citing papers by Yuhong Li
This network shows the impact of papers produced by Yuhong 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 Yuhong Li. The network helps show where Yuhong Li may publish in the future.
Co-authorship network of co-authors of Yuhong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhong Li. A scholar is included among the top collaborators of Yuhong 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 Yuhong Li. Yuhong Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 30 | |
| 6 | 17 | |
| 7 | 0 | |
| 8 | 17 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | Predicting occurrence degree of rice planthoppers in Guangxi Province based on BP artificial neural network method | 3 |
| 19 | 4 | |
| 20 | 87 |
About Yuhong Li
Yuhong Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Multimodal Machine Learning Applications (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (954 citations), Artificial Intelligence (762 citations) and Safety, Risk, Reliability and Quality (191 citations). Yuhong Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaofan Zhang, Deming Chen, Hui Xue, Jianzhong Zhou, Rengcun Fang, Yongchuan Zhang, Yuefeng Chen, Yuan He, Da Chen and Feng Mao. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.