Jinmao Wei
Impact in
-
- Rough Sets and Fuzzy Logic
- Computational Drug Discovery Methods
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Topic Modeling
Papers in
-
- Text and Document Classification Technologies 10
- Topic Modeling 9
-
- Rough Sets and Fuzzy Logic 11
- Computational Drug Discovery Methods 7
- Co-authors
- Shuqin Wang (13 shared papers)Jun Wang (13 shared papers)Zhenglu Yang (12 shared papers)Qinghua Hu (2 shared papers)Xiaojie Yuan (3 shared papers)Jian Liu (10 shared papers)Peijun Ma (1 shared paper)Shuang An (1 shared paper)
- Journals
- Knowledge-Based Systems (5 papers)Bioinformatics (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jinmao Wei
59 papers receiving 692 citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 200
- Artificial Intelligence 401
- Computer Vision and Pattern Recognition 208
- Information Systems 142
- Management Science and Operations Research 41
Countries citing papers authored by Jinmao Wei
This map shows the geographic impact of Jinmao 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 Jinmao Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinmao Wei more than expected).
Fields of papers citing papers by Jinmao Wei
This network shows the impact of papers produced by Jinmao 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 Jinmao Wei. The network helps show where Jinmao Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinmao 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2010 | 90 | |
| 3 | 2009 | 47 | |
| 4 | 2009 | 41 | |
| 5 | 2021 | 31 | |
| 6 | 2006 | 25 | |
| 7 | 2018 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 15 | |
| 14 | A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task | 2018 | 14 |
| 15 | 2017 | 13 | |
| 16 | 2013 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2006 | 12 | |
| 19 | 2003 | 12 | |
| 20 | 2023 | 11 |
About Jinmao Wei
Jinmao Wei is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 63 papers that have together received 721 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Rough Sets and Fuzzy Logic (11 papers), Gene expression and cancer classification (10 papers), Data Mining Algorithms and Applications (10 papers), Text and Document Classification Technologies (10 papers), Topic Modeling (9 papers), Machine Learning in Bioinformatics (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Computational Theory and Mathematics (200 citations), Artificial Intelligence (401 citations), Computer Vision and Pattern Recognition (208 citations), Information Systems (142 citations) and Management Science and Operations Research (41 citations). Jinmao Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shuqin Wang, Jun Wang, Zhenglu Yang, Qinghua Hu, Xiaojie Yuan, Jian Liu, Peijun Ma, Shuang An, Wei Pan and Shuqin Wang. Their work appears in journals such as Knowledge-Based Systems, Bioinformatics, IEEE Transactions on Knowledge and Data Engineering, IEEE Journal of Biomedical and Health Informatics and BMC Bioinformatics.
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.