Wenji Mao
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 2%
- Statistical and Nonlinear Physics top 2%
- Sociology and Political Science top 5%
- Co-authors
- Nan XuDaniel ZengPenghui WeiFei‐Yue WangKathleen M. CarleyJonathan GratchJunjie LinWen Ding
- Topics
- Topic Modeling (35 papers)Sentiment Analysis and Opinion Mining (32 papers)Advanced Text Analysis Techniques (29 papers)
- Cited by
- Artificial IntelligenceStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wenji Mao
96 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 333
- Information Systems 265
- Statistical and Nonlinear Physics 263
- Sociology and Political Science 258
Countries citing papers authored by Wenji Mao
This map shows the geographic impact of Wenji Mao'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 Wenji Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenji Mao more than expected).
Fields of papers citing papers by Wenji Mao
This network shows the impact of papers produced by Wenji Mao. 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 Wenji Mao. The network helps show where Wenji Mao may publish in the future.
Co-authorship network of co-authors of Wenji Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Wenji Mao. A scholar is included among the top collaborators of Wenji Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenji Mao. Wenji Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 77 | |
| 14 | 95 | |
| 15 | 19 | |
| 16 | 3 | |
| 17 | Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics | 3 |
| 18 | Towards a validated model of emotional intelligence | 10 |
| 19 | Mitigation Theory: An Integrated Approach | 13 |
| 20 | 11 |
About Wenji Mao
Wenji Mao is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (35 papers), Sentiment Analysis and Opinion Mining (32 papers) and Advanced Text Analysis Techniques (29 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Statistical and Nonlinear Physics (263 citations) and Computer Vision and Pattern Recognition (333 citations). Wenji Mao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Nan Xu, Daniel Zeng, Penghui Wei, Fei‐Yue Wang, Kathleen M. Carley, Jonathan Gratch, Junjie Lin, Wen Ding, Weiming Zhang and Dongsheng Yang. Their work appears in journals such as ACM Computing Surveys, Information Sciences and Neurocomputing.
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.