Ming-Yang Wang
Impact in
- Inorganic Chemistry top 2%
- Asymmetric Hydrogenation and Catalysis
Papers in
-
- Computational Drug Discovery Methods 16
- Rough Sets and Fuzzy Logic 9
-
- Advanced Text Analysis Techniques 8
- Topic Modeling 7
- Co-authors
- Qiang Liu (5 shared papers)Yujie Wang (3 shared papers)Yibiao Li (2 shared papers)Daren Yu (10 shared papers)Guang Yu (10 shared papers)Chenguang Liu (2 shared papers)Tingjun Hou (11 shared papers)Shihan Liu (2 shared papers)
- Journals
- Scientometrics (9 papers)IEEE Access (4 papers)Forests (4 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (3 papers)Journal of Chemical Information and Modeling (3 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Ming-Yang Wang
102 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Process Chemistry and Technology 117
- Inorganic Chemistry 509
- Statistics, Probability and Uncertainty 181
- Computational Theory and Mathematics 396
- Safety, Risk, Reliability and Quality 133
Countries citing papers authored by Ming-Yang Wang
This map shows the geographic impact of Ming-Yang 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 Ming-Yang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Yang Wang more than expected).
Fields of papers citing papers by Ming-Yang Wang
This network shows the impact of papers produced by Ming-Yang 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 Ming-Yang Wang. The network helps show where Ming-Yang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Yang 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 254 | |
| 2 | 2020 | 181 | |
| 3 | 2021 | 150 | |
| 4 | 2021 | 103 | |
| 5 | 2024 | 81 | |
| 6 | 2022 | 77 | |
| 7 | 2022 | 74 | |
| 8 | 2022 | 74 | |
| 9 | 2008 | 56 | |
| 10 | 2023 | 50 | |
| 11 | 2011 | 41 | |
| 12 | 2009 | 37 | |
| 13 | 2020 | 37 | |
| 14 | 2019 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2019 | 33 | |
| 17 | 2013 | 33 | |
| 18 | 2024 | 29 | |
| 19 | 2024 | 28 | |
| 20 | 2009 | 27 |
About Ming-Yang Wang
Ming-Yang Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Statistics, Probability and Uncertainty, having authored 117 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Complex Network Analysis Techniques (10 papers), Rough Sets and Fuzzy Logic (9 papers), Advanced Text Analysis Techniques (8 papers), Data Mining Algorithms and Applications (8 papers), Machine Learning in Materials Science (8 papers), Topic Modeling (7 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Process Chemistry and Technology (117 citations), Inorganic Chemistry (509 citations), Statistics, Probability and Uncertainty (181 citations), Computational Theory and Mathematics (396 citations) and Safety, Risk, Reliability and Quality (133 citations). Ming-Yang Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qiang Liu, Yujie Wang, Yibiao Li, Daren Yu, Guang Yu, Chenguang Liu, Tingjun Hou, Shihan Liu, Jike Wang and Yu Lan. Their work appears in journals such as Scientometrics, IEEE Access, Forests, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of Chemical Information and Modeling.
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.