Ali Li
Impact in
-
- Artificial Intelligence in Healthcare
Papers in
-
- Complex Network Analysis Techniques 3
- Advanced Thermodynamics and Statistical Mechanics 2
-
- Artificial Intelligence in Healthcare 3
- Co-authors
- Aihua Hou (3 shared papers)Tianrong Li (3 shared papers)Baodui Wang (3 shared papers)Fusheng Wang (2 shared papers)Yuzheng Zong (2 shared papers)Yuee Li (1 shared paper)Huang Wen (1 shared paper)Xijiao Mu (1 shared paper)
- Journals
- Nanoscale (2 papers)IEEE Transactions on Industrial Informatics (1 paper)Frontiers in Public Health (1 paper)IEEE Transactions on Computational Social Systems (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Ali Li
22 papers receiving 368 citations
Peers
Comparison fields: 5 of 95
- Health Information Management 47
- Health Informatics 3
- Materials Chemistry 91
- Artificial Intelligence 54
- Medical Laboratory Technology 2
Countries citing papers authored by Ali Li
This map shows the geographic impact of Ali 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 Ali Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Li more than expected).
Fields of papers citing papers by Ali Li
This network shows the impact of papers produced by Ali 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 Ali Li. The network helps show where Ali Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 40 | |
| 2 | 2018 | 39 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2018 | 27 | |
| 6 | 2024 | 26 | |
| 7 | 2023 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2024 | 20 | |
| 10 | 2018 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2017 | 13 | |
| 16 | 2019 | 9 | |
| 17 | 2025 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2018 | 4 | |
| 20 | Scientists Relation Networks and Scientists Influences | 2007 | 1 |
About Ali Li
Ali Li is a scholar working on Statistical and Nonlinear Physics, Health Information Management, Artificial Intelligence, Materials Chemistry and Infectious Diseases, having authored 23 papers that have together received 380 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Bioinformatics and Genomic Networks (3 papers), Complex Network Analysis Techniques (3 papers), Machine Learning in Healthcare (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Viral Infections and Vectors (2 papers), Plant responses to elevated CO2 (2 papers) and Advanced Thermoelectric Materials and Devices (2 papers). The work is most often cited by research in Health Information Management (47 citations), Health Informatics (3 citations), Materials Chemistry (91 citations), Artificial Intelligence (54 citations) and Medical Laboratory Technology (2 citations). Ali Li has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Aihua Hou, Tianrong Li, Baodui Wang, Fusheng Wang, Yuzheng Zong, Yuee Li, Huang Wen, Xijiao Mu, Zhenxing Zhang and Wanchong Li. Their work appears in journals such as Nanoscale, IEEE Transactions on Industrial Informatics, Frontiers in Public Health, IEEE Transactions on Computational Social Systems and ACS Applied Materials & Interfaces.
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.