Hongcheng Wang
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 2%
- Signal Processing top 5%
- Co-authors
- Li Fei-FeiJuan Carlos NieblesHesheng WangNarendra AhujaRamesh RaskarZhe WuAlan FinnYingli Tian
- Topics
- Advanced Image Processing Techniques (10 papers)Human Pose and Action Recognition (6 papers)Advanced Vision and Imaging (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionJournal of Hydrology
- Partner nations
- United StatesChinaColombia
In The Last Decade
Hongcheng Wang
28 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 650
- Biomedical Engineering 337
- Human-Computer Interaction 204
- Signal Processing 115
Countries citing papers authored by Hongcheng Wang
This map shows the geographic impact of Hongcheng 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 Hongcheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongcheng Wang more than expected).
Fields of papers citing papers by Hongcheng Wang
This network shows the impact of papers produced by Hongcheng 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 Hongcheng Wang. The network helps show where Hongcheng Wang may publish in the future.
Co-authorship network of co-authors of Hongcheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongcheng Wang. A scholar is included among the top collaborators of Hongcheng 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 Hongcheng Wang. Hongcheng 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 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 48 | |
| 7 | 40 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 256 | |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 132 |
About Hongcheng Wang
Hongcheng Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (10 papers), Human Pose and Action Recognition (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computational Mathematics (45 citations), Computer Vision and Pattern Recognition (1.5k citations) and Human-Computer Interaction (204 citations). Hongcheng Wang has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Li Fei-Fei, Juan Carlos Niebles, Hesheng Wang, Narendra Ahuja, Ramesh Raskar, Zhe Wu, Alan Finn, Yingli Tian, Hasan Sajid and Longlong Jing. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Hydrology.
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.