Chaoqun Weng
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Biomaterials
- Co-authors
- Junsong YuanJunwu WengHongxing WangXiaoyan TangYoshinobu KawaharaZicheng LiuBin WangMichael Hoy
- Topics
- Carbon dioxide utilization in catalysis (5 papers)biodegradable polymer synthesis and properties (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionProcess Chemistry and TechnologyHuman-Computer Interaction
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Chaoqun Weng
23 papers receiving 317 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 227
- Artificial Intelligence 108
- Biomedical Engineering 73
- Human-Computer Interaction 37
- Biomaterials 31
Countries citing papers authored by Chaoqun Weng
This map shows the geographic impact of Chaoqun Weng'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 Chaoqun Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoqun Weng more than expected).
Fields of papers citing papers by Chaoqun Weng
This network shows the impact of papers produced by Chaoqun Weng. 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 Chaoqun Weng. The network helps show where Chaoqun Weng may publish in the future.
Co-authorship network of co-authors of Chaoqun Weng
This figure shows the co-authorship network connecting the top 25 collaborators of Chaoqun Weng. A scholar is included among the top collaborators of Chaoqun Weng 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 Chaoqun Weng. Chaoqun Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 8 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 34 | |
| 13 | 87 | |
| 14 | 14 | |
| 15 | 36 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 51 | |
| 19 | 1 | |
| 20 | 4 |
About Chaoqun Weng
Chaoqun Weng is a scholar working on Process Chemistry and Technology, Computer Vision and Pattern Recognition and Media Technology, having authored 23 papers that have together received 327 indexed citations. Recurring topics across this work include Carbon dioxide utilization in catalysis (5 papers), biodegradable polymer synthesis and properties (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Process Chemistry and Technology (27 citations) and Human-Computer Interaction (37 citations). Chaoqun Weng has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Junsong Yuan, Junwu Weng, Hongxing Wang, Xiaoyan Tang, Yoshinobu Kawahara, Zicheng Liu, Bin Wang, Michael Hoy, Justin Dauwels and Xudong Jiang. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Hazardous Materials and Inorganic Chemistry.
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.