Xianglong Li
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Information Systems
- Co-authors
- Chang‐Dong WangMan-Sheng ChenJianhuang LaiJiaqi LinDong HuangPing ChenLei YangYongqiang Cheng
- Topics
- IoT and Edge/Fog Computing (4 papers)Face and Expression Recognition (3 papers)Text and Document Classification Technologies (3 papers)
- Journals
- Scientific ReportsAccident Analysis & PreventionIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xianglong Li
20 papers receiving 297 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 146
- Computer Vision and Pattern Recognition 126
- Electrical and Electronic Engineering 53
- Renewable Energy, Sustainability and the Environment 29
- Information Systems 27
Countries citing papers authored by Xianglong Li
This map shows the geographic impact of Xianglong 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 Xianglong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianglong Li more than expected).
Fields of papers citing papers by Xianglong Li
This network shows the impact of papers produced by Xianglong 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 Xianglong Li. The network helps show where Xianglong Li may publish in the future.
Co-authorship network of co-authors of Xianglong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xianglong Li. A scholar is included among the top collaborators of Xianglong 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 Xianglong Li. Xianglong 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 86 | |
| 16 | 52 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 0 |
About Xianglong Li
Xianglong Li is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 29 papers that have together received 302 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Face and Expression Recognition (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computational Mathematics (14 citations), Computer Vision and Pattern Recognition (126 citations) and Artificial Intelligence (146 citations). Xianglong Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chang‐Dong Wang, Man-Sheng Chen, Jianhuang Lai, Jiaqi Lin, Dong Huang, Ping Chen, Lei Yang, Yongqiang Cheng, Leif A. Carlsson and F. Ozdil. Their work appears in journals such as Scientific Reports, Accident Analysis & Prevention 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.