Lihong Wang
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Psychiatry and Mental health
- Co-authors
- Jinglei LiuYanwei YuHenry R. WagnerScott A. HuettelRajendra A. MoreyGregory McCarthyDinggang ShenPew‐Thian Yap
- Topics
- Functional Brain Connectivity Studies (6 papers)Face and Expression Recognition (5 papers)Remote Sensing and Land Use (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lihong Wang
37 papers receiving 469 citations
Peers
Comparison fields: 5 of 110
- Cognitive Neuroscience 133
- Radiology, Nuclear Medicine and Imaging 95
- Artificial Intelligence 79
- Computer Vision and Pattern Recognition 57
- Psychiatry and Mental health 53
Countries citing papers authored by Lihong Wang
This map shows the geographic impact of Lihong 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 Lihong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihong Wang more than expected).
Fields of papers citing papers by Lihong Wang
This network shows the impact of papers produced by Lihong 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 Lihong Wang. The network helps show where Lihong Wang may publish in the future.
Co-authorship network of co-authors of Lihong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Lihong Wang. A scholar is included among the top collaborators of Lihong 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 Lihong Wang. Lihong Wang 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 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 38 | |
| 14 | Analysis and improvement of semi-supervised clustering algorithm based on affinity propagation | 1 |
| 15 | Medical Webpage Clustering Based on Latent Semantic Difference | 1 |
| 16 | The Innovation of the Course Mode of Aerobics in Common Universities and the Diversification of P.E. Value | 0 |
| 17 | The Disaster Investigation Using Remote Sensing on the Tibet Part Of Sichuan-Tibet Highway | 0 |
| 18 | An improved GA based on Isomerous Multi-population | 1 |
| 19 | 1 | |
| 20 | 4 |
About Lihong Wang
Lihong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 47 papers that have together received 490 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Face and Expression Recognition (5 papers) and Remote Sensing and Land Use (5 papers). The work is most often cited by research in Cognitive Neuroscience (133 citations), Radiology, Nuclear Medicine and Imaging (95 citations) and Psychiatry and Mental health (53 citations). Lihong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinglei Liu, Yanwei Yu, Henry R. Wagner, Scott A. Huettel, Rajendra A. Morey, Gregory McCarthy, Dinggang Shen, Pew‐Thian Yap, Daoqiang Zhang and Chong‐Yaw Wee. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Frontiers in Plant Science.
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.