Chaojian Li
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Yingyan LinYang ZhaoHaoran YouYongan ZhangYonggan FuSixu LiZhongzhi YuYue Wang
- Topics
- Advanced Neural Network Applications (11 papers)Computer Graphics and Visualization Techniques (7 papers)3D Shape Modeling and Analysis (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignHardware and ArchitectureComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chaojian Li
30 papers receiving 414 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 177
- Electrical and Electronic Engineering 152
- Artificial Intelligence 146
- Hardware and Architecture 67
- Computer Graphics and Computer-Aided Design 54
Countries citing papers authored by Chaojian Li
This map shows the geographic impact of Chaojian 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 Chaojian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaojian Li more than expected).
Fields of papers citing papers by Chaojian Li
This network shows the impact of papers produced by Chaojian 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 Chaojian Li. The network helps show where Chaojian Li may publish in the future.
Co-authorship network of co-authors of Chaojian Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chaojian Li. A scholar is included among the top collaborators of Chaojian 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 Chaojian Li. Chaojian 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 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 40 | |
| 9 | 4 | |
| 10 | 55 | |
| 11 | 10 | |
| 12 | 33 | |
| 13 | 49 | |
| 14 | 29 | |
| 15 | Locality Sensitive Teaching | 2 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 33 | |
| 20 | Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks | 27 |
About Chaojian Li
Chaojian Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 420 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Computer Graphics and Visualization Techniques (7 papers) and 3D Shape Modeling and Analysis (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (54 citations), Hardware and Architecture (67 citations) and Computer Vision and Pattern Recognition (177 citations). Chaojian Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yingyan Lin, Yang Zhao, Haoran You, Yongan Zhang, Yonggan Fu, Sixu Li, Zhongzhi Yu, Yue Wang, Cheng Wan and Pengfei Xu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, ACS Omega and IEEE Micro.
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.