Ling Wei
Impact in
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
-
- Multi-Criteria Decision Making
Papers in
-
- Rough Sets and Fuzzy Logic 43
- Advanced Algebra and Logic 6
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- Advanced Computational Techniques and Applications 13
- Semantic Web and Ontologies 8
- Text and Document Classification Technologies 6
- Co-authors
- Jianjun Qi (21 shared papers)Ting Qian (11 shared papers)Wen‐Xiu Zhang (1 shared paper)Huilai Zhi (1 shared paper)Lin Liu (1 shared paper)Zhen Wang (3 shared papers)Yiyu Yao (2 shared papers)Xiaoli He (1 shared paper)
- Journals
- International Journal of Machine Learning and Cybernetics (7 papers)Knowledge-Based Systems (6 papers)International Journal of Approximate Reasoning (4 papers)Information Sciences (3 papers)Cognitive Computation (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Wei
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 1.1k
- Management Science and Operations Research 269
- Artificial Intelligence 689
- Information Systems 449
- Signal Processing 205
Countries citing papers authored by Ling Wei
This map shows the geographic impact of Ling Wei'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 Ling Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wei more than expected).
Fields of papers citing papers by Ling Wei
This network shows the impact of papers produced by Ling Wei. 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 Ling Wei. The network helps show where Ling Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Wei, 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 | 2015 | 195 | |
| 2 | 2016 | 101 | |
| 3 | 2008 | 94 | |
| 4 | 2019 | 93 | |
| 5 | 2010 | 84 | |
| 6 | 2019 | 84 | |
| 7 | 2016 | 68 | |
| 8 | 2019 | 43 | |
| 9 | 2018 | 39 | |
| 10 | 2014 | 36 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 27 | |
| 13 | 2014 | 27 | |
| 14 | 2017 | 25 | |
| 15 | 2021 | 24 | |
| 16 | 2020 | 23 | |
| 17 | 2018 | 20 | |
| 18 | 2016 | 19 | |
| 19 | 2023 | 19 | |
| 20 | 2015 | 16 |
About Ling Wei
Ling Wei is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Signal Processing and Political Science and International Relations, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (43 papers), Data Mining Algorithms and Applications (22 papers), Advanced Computational Techniques and Applications (13 papers), Data Management and Algorithms (8 papers), Semantic Web and Ontologies (8 papers), Multi-Criteria Decision Making (6 papers), Advanced Algebra and Logic (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Management Science and Operations Research (269 citations), Artificial Intelligence (689 citations), Information Systems (449 citations) and Signal Processing (205 citations). Ling Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianjun Qi, Ting Qian, Wen‐Xiu Zhang, Huilai Zhi, Lin Liu, Zhen Wang, Yiyu Yao, Xiaoli He, Yanhong She and Jinhai Li. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Knowledge-Based Systems, International Journal of Approximate Reasoning, Information Sciences and Cognitive Computation.
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.