Richang Hong
- Computer Vision and Pattern Recognition top 0.02%
- Artificial Intelligence top 0.1%
- Information Systems top 0.1%
- Media Technology top 0.2%
- Signal Processing top 0.5%
- Topics
- Advanced Image and Video Retrieval Techniques (106 papers)Multimodal Machine Learning Applications (65 papers)Image Retrieval and Classification Techniques (59 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Richang Hong
322 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Computer Vision and Pattern Recognition 10.9k
- Artificial Intelligence 5.6k
- Information Systems 2.8k
- Media Technology 1.1k
- Signal Processing 822
Countries citing papers authored by Richang Hong
This map shows the geographic impact of Richang Hong'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 Richang Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richang Hong more than expected).
Fields of papers citing papers by Richang Hong
This network shows the impact of papers produced by Richang Hong. 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 Richang Hong. The network helps show where Richang Hong may publish in the future.
Co-authorship network of co-authors of Richang Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Richang Hong. A scholar is included among the top collaborators of Richang Hong 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 Richang Hong. Richang Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 39 | |
| 15 | 2 | |
| 16 | 23 | |
| 17 | 98 | |
| 18 | 81 | |
| 19 | 101 | |
| 20 | 45 |
About Richang Hong
Richang Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 349 papers that have together received 15.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (106 papers), Multimodal Machine Learning Applications (65 papers) and Image Retrieval and Classification Techniques (59 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.9k citations), Artificial Intelligence (5.6k citations) and Information Systems (2.8k citations). Richang Hong has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Meng Wang, Tat‐Seng Chua, Jinhui Tang, Yan-Tao Zheng, Haojie Li, Zhiping Luo, Shuicheng Yan, Le Wu, Qi Tian and Xiangnan He. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.
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.