Wenji Mao

179 total papers · 3.1k total citations
108 papers, 1.8k citations indexed

About

Wenji Mao is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Wenji Mao has authored 108 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 23 papers in Statistical and Nonlinear Physics and 20 papers in Information Systems. Recurrent topics in Wenji Mao's work include Topic Modeling (35 papers), Sentiment Analysis and Opinion Mining (32 papers) and Advanced Text Analysis Techniques (29 papers). Wenji Mao is often cited by papers focused on Topic Modeling (35 papers), Sentiment Analysis and Opinion Mining (32 papers) and Advanced Text Analysis Techniques (29 papers). Wenji Mao collaborates with scholars based in China, United States and Taiwan. Wenji Mao's co-authors include Nan Xu, Daniel Zeng, Penghui Wei, Fei‐Yue Wang, Kathleen M. Carley, Jonathan Gratch, Junjie Lin, Weiming Zhang, Dongsheng Yang and Zhong Liu and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and Neurocomputing.

In The Last Decade

Wenji Mao

96 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wenji Mao 1.1k 326 265 262 256 108 1.8k
Yoram Bachrach 825 0.7× 159 0.5× 382 1.4× 259 1.0× 472 1.8× 100 2.2k
Przemysław Kazienko 778 0.7× 193 0.6× 439 1.7× 458 1.7× 318 1.2× 117 2.0k
Shimei Pan 1.3k 1.1× 454 1.4× 349 1.3× 107 0.4× 165 0.6× 92 2.2k
Hikmat Ullah Khan 842 0.7× 237 0.7× 392 1.5× 92 0.4× 135 0.5× 96 1.9k
Chenghua Lin 1.5k 1.3× 139 0.4× 284 1.1× 139 0.5× 132 0.5× 97 1.8k
Alice Oh 1.2k 1.1× 98 0.3× 323 1.2× 131 0.5× 286 1.1× 97 1.8k
Nataša Milić-Frayling 807 0.7× 358 1.1× 618 2.3× 183 0.7× 243 0.9× 82 2.1k
Hideaki Takeda 1.3k 1.1× 304 0.9× 521 2.0× 230 0.9× 186 0.7× 197 2.3k
Katarzyna Musiał 725 0.6× 157 0.5× 235 0.9× 482 1.8× 136 0.5× 81 1.4k
Animesh Mukherjee 850 0.8× 93 0.3× 243 0.9× 625 2.4× 195 0.8× 154 1.7k

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).

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.

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

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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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