Xiaohan Li
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
-
- Advanced Neural Network Applications
- Optical measurement and interference techniques
Papers in
-
- Optical measurement and interference techniques 3
- Advanced Neural Network Applications 3
-
- Recommender Systems and Techniques 9
- Co-authors
- Philip S. Yu (11 shared papers)Zheng Liu (8 shared papers)Liang Wang (2 shared papers)Shu Wu (2 shared papers)Kannan Achan (8 shared papers)Yifan Zhang (3 shared papers)Mengqi Zhang (1 shared paper)Lei Wang (3 shared papers)
- Journals
- Nano Research (2 papers)The Science of The Total Environment (2 papers)Drones (2 papers)Journal of Materials Engineering and Performance (1 paper)Building Services Engineering Research and Technology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaohan Li
68 papers receiving 752 citations
Peers
Comparison fields: 5 of 93
- Information Systems 160
- Computer Vision and Pattern Recognition 95
- Artificial Intelligence 132
- Health Informatics 8
- Health Information Management 27
Countries citing papers authored by Xiaohan Li
This map shows the geographic impact of Xiaohan 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 Xiaohan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Li more than expected).
Fields of papers citing papers by Xiaohan Li
This network shows the impact of papers produced by Xiaohan 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 Xiaohan Li. The network helps show where Xiaohan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2020 | 65 | |
| 3 | 2022 | 50 | |
| 4 | 2017 | 48 | |
| 5 | 2020 | 48 | |
| 6 | 2020 | 46 | |
| 7 | 2024 | 30 | |
| 8 | 2023 | 27 | |
| 9 | 2020 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2025 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 13 |
About Xiaohan Li
Xiaohan Li is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Biomedical Engineering and Leadership and Management, having authored 76 papers that have together received 780 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Machine Learning in Healthcare (4 papers), Advanced Graph Neural Networks (3 papers), Optical measurement and interference techniques (3 papers), Advanced Neural Network Applications (3 papers), Lignin and Wood Chemistry (3 papers), CO2 Reduction Techniques and Catalysts (3 papers) and Corrosion Behavior and Inhibition (3 papers). The work is most often cited by research in Information Systems (160 citations), Computer Vision and Pattern Recognition (95 citations), Artificial Intelligence (132 citations), Health Informatics (8 citations) and Health Information Management (27 citations). Xiaohan Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Philip S. Yu, Zheng Liu, Liang Wang, Shu Wu, Kannan Achan, Yifan Zhang, Mengqi Zhang, Lei Wang, Jungang Jiang and Stephen D. Guo. Their work appears in journals such as Nano Research, The Science of The Total Environment, Drones, Journal of Materials Engineering and Performance and Building Services Engineering Research and Technology.
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.