Duantengchuan Li
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Human-Computer Interaction top 10%
- Aerospace Engineering
- Co-authors
- Zhaoli ZhangKe LinHai LiuJiazhang WangBing LiJian WangXindong WuBo Hang
- Topics
- Topic Modeling (4 papers)Advanced Graph Neural Networks (4 papers)Face recognition and analysis (3 papers)
- Journals
- Pattern RecognitionIEEE Transactions on Industrial InformaticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Duantengchuan Li
16 papers receiving 325 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 169
- Artificial Intelligence 117
- Information Systems 46
- Human-Computer Interaction 30
- Aerospace Engineering 24
Countries citing papers authored by Duantengchuan Li
This map shows the geographic impact of Duantengchuan Li'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 Duantengchuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duantengchuan Li more than expected).
Fields of papers citing papers by Duantengchuan Li
This network shows the impact of papers produced by Duantengchuan Li. 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 Duantengchuan Li. The network helps show where Duantengchuan Li may publish in the future.
Co-authorship network of co-authors of Duantengchuan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Duantengchuan Li. A scholar is included among the top collaborators of Duantengchuan Li 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 Duantengchuan Li. Duantengchuan Li 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 22 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 18 | |
| 19 | MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimationbreakdown → | 196 |
About Duantengchuan Li
Duantengchuan Li is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 19 papers that have together received 333 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Advanced Graph Neural Networks (4 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Human-Computer Interaction (30 citations) and Artificial Intelligence (117 citations). Duantengchuan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhaoli Zhang, Ke Lin, Hai Liu, Jiazhang Wang, Bing Li, Jian Wang, Xindong Wu, Bo Hang, Yanjie Li and Xiang Wang. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.
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.