Limin Wang
Impact in
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
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- Data Quality and Management
Papers in
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- Bayesian Modeling and Causal Inference 36
- Machine Learning and Data Classification 10
- Imbalanced Data Classification Techniques 6
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- Rough Sets and Fuzzy Logic 14
- Co-authors
- Minghui Sun (13 shared papers)Shenglei Chen (7 shared papers)Musa A. Mammadov (6 shared papers)Chunhong Cao (4 shared papers)Xiaolin Li (1 shared paper)Ana María Martínez (2 shared papers)Geoffrey I. Webb (2 shared papers)Guimei Li (1 shared paper)
- Journals
- Applied Intelligence (6 papers)Knowledge-Based Systems (4 papers)IEEE Access (3 papers)Expert Systems with Applications (2 papers)Knowledge and Information Systems (2 papers)
- Partner nations
- ChinaAustraliaNetherlands
In The Last Decade
Limin Wang
58 papers receiving 483 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 285
- Management Science and Operations Research 73
- Health Information Management 23
- Computational Theory and Mathematics 65
- Information Systems 71
Countries citing papers authored by Limin Wang
This map shows the geographic impact of Limin Wang'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 Limin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limin Wang more than expected).
Fields of papers citing papers by Limin Wang
This network shows the impact of papers produced by Limin Wang. 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 Limin Wang. The network helps show where Limin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Limin Wang, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 56 | |
| 2 | 2016 | 36 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 24 | |
| 5 | 2016 | 21 | |
| 6 | 2011 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2016 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2021 | 9 |
About Limin Wang
Limin Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Information Systems and Human-Computer Interaction, having authored 66 papers that have together received 491 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (36 papers), Rough Sets and Fuzzy Logic (14 papers), Machine Learning and Data Classification (10 papers), Data Mining Algorithms and Applications (10 papers), Data Quality and Management (9 papers), Imbalanced Data Classification Techniques (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Management Science and Operations Research (73 citations), Health Information Management (23 citations), Computational Theory and Mathematics (65 citations) and Information Systems (71 citations). Limin Wang has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Minghui Sun, Shenglei Chen, Musa A. Mammadov, Chunhong Cao, Xiaolin Li, Ana María Martínez, Geoffrey I. Webb, Guimei Li, Haocheng Wang and Minghua Liu. Their work appears in journals such as Applied Intelligence, Knowledge-Based Systems, IEEE Access, Expert Systems with Applications and Knowledge and Information 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.