Wenji Mao

50 papers and 862 indexed citations i.

About

Wenji Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Wenji Mao has authored 50 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Wenji Mao’s work include Topic Modeling (11 papers), Complex Network Analysis Techniques (9 papers) and Sentiment Analysis and Opinion Mining (9 papers). Wenji Mao is often cited by papers focused on Topic Modeling (11 papers), Complex Network Analysis Techniques (9 papers) and Sentiment Analysis and Opinion Mining (9 papers). Wenji Mao collaborates with scholars based in China, United States and Taiwan. Wenji Mao's co-authors include Daniel Zeng, Nan Xu, Fei‐Yue Wang, Kathleen M. Carley, Penghui Wei, Wen Ding, Dongsheng Yang, Weiming Zhang, Bilyana Martinovski and Junjie Lin and has published in prestigious journals such as Information Sciences, ACM Computing Surveys and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Wenji Mao i

Fields of papers citing papers by Wenji Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Wenji Mao

Since Specialization
Citations

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).

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.

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2025