Yong Han
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Urban Studies top 5%
- Computer Networks and Communications
- Oceanography
- Co-authors
- Zhihan LvTengfei YinGe ChenYong ChenBhavya KailkhuraDonald LovelandShusen LiuXiaolei Zhang
- Topics
- Topic Modeling (4 papers)Authorship Attribution and Profiling (3 papers)Computer Graphics and Visualization Techniques (2 papers)
- Journals
- Remote Sensing of EnvironmentRemote SensingJournal of Visual Communication and Image Representation
- Partner nations
- ChinaUnited States
In The Last Decade
Yong Han
18 papers receiving 206 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 69
- Computer Vision and Pattern Recognition 57
- Urban Studies 46
- Computer Networks and Communications 21
- Oceanography 19
Countries citing papers authored by Yong Han
This map shows the geographic impact of Yong Han'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 Yong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Han more than expected).
Fields of papers citing papers by Yong Han
This network shows the impact of papers produced by Yong Han. 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 Yong Han. The network helps show where Yong Han may publish in the future.
Co-authorship network of co-authors of Yong Han
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Han. A scholar is included among the top collaborators of Yong Han 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 Yong Han. Yong Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | N-gram-based Authorship Identification of Source Code. | 1 |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 45 | |
| 10 | 6 | |
| 11 | Multi-scale time-frequency texture feature fusion algorithm for scene classification | 0 |
| 12 | 31 | |
| 13 | 1 | |
| 14 | Prediction of problematic complexes from PPI networks: sparse, embedded, and small | 1 |
| 15 | Source Retrieval Based on Learning to Rank and Text Alignment Based on Plagiarism Type Recognition for Plagiarism Detection. | 0 |
| 16 | Approaches for Candidate Document Retrieval and Detailed Comparison of Plagiarism Detection. | 11 |
| 17 | 80 | |
| 18 | 22 | |
| 19 | 2 | |
| 20 | Scalable and interoperable agriculture products information system based on WebGIS using XML and SVG technologies. | 1 |
About Yong Han
Yong Han is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 223 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Authorship Attribution and Profiling (3 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Urban Studies (46 citations), Health Informatics (7 citations) and Computer Vision and Pattern Recognition (57 citations). Yong Han has collaborated with scholars based in China and United States. Frequent co-authors include Zhihan Lv, Tengfei Yin, Ge Chen, Yong Chen, Bhavya Kailkhura, Donald Loveland, Shusen Liu, Xiaolei Zhang, Ge Chen and Chengcheng Qian. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing and Journal of Visual Communication and Image Representation.
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.