Weizi Li
Impact in
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- Stock Market Forecasting Methods
- Multi-Criteria Decision Making
Papers in
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- Semantic Web and Ontologies 10
- Machine Learning in Healthcare 5
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- Business Process Modeling and Analysis 8
- Co-authors
- Kecheng Liu (17 shared papers)Nicholas O’Regan (1 shared paper)Abby Ghobadian (1 shared paper)Maksim Belitski (1 shared paper)Hongqiao Yang (9 shared papers)Xiaopu Shang (6 shared papers)Runtong Zhang (2 shared papers)Bo Tian (1 shared paper)
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (2 papers)International Journal of Information Management (1 paper)Information Systems Frontiers (1 paper)International Journal of Psychology (1 paper)IEEE Access (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Weizi Li
54 papers receiving 908 citations
Peers
Comparison fields: 5 of 124
- Management Science and Operations Research 208
- Health Information Management 72
- Management of Technology and Innovation 86
- Management Information Systems 95
- Business and International Management 20
Countries citing papers authored by Weizi Li
This map shows the geographic impact of Weizi 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 Weizi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizi Li more than expected).
Fields of papers citing papers by Weizi Li
This network shows the impact of papers produced by Weizi 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 Weizi Li. The network helps show where Weizi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weizi 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 214 | |
| 2 | 2019 | 129 | |
| 3 | 2022 | 45 | |
| 4 | 2013 | 40 | |
| 5 | 2018 | 28 | |
| 6 | 2014 | 28 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2016 | 24 | |
| 10 | 2011 | 23 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2009 | 15 | |
| 20 | 2022 | 14 |
About Weizi Li
Weizi Li is a scholar working on Artificial Intelligence, Management Information Systems, Molecular Biology, Automotive Engineering and Strategy and Management, having authored 59 papers that have together received 943 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Business Process Modeling and Analysis (8 papers), Biomedical Text Mining and Ontologies (6 papers), Machine Learning in Healthcare (5 papers), Multimedia Communication and Technology (4 papers), Clinical practice guidelines implementation (4 papers), Sustainable Supply Chain Management (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (208 citations), Health Information Management (72 citations), Management of Technology and Innovation (86 citations), Management Information Systems (95 citations) and Business and International Management (20 citations). Weizi Li has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kecheng Liu, Nicholas O’Regan, Abby Ghobadian, Maksim Belitski, Hongqiao Yang, Xiaopu Shang, Runtong Zhang, Bo Tian, Shen Xu and Llewellyn Tang. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), International Journal of Information Management, Information Systems Frontiers, International Journal of Psychology and IEEE Access.
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.