Cunli Mao

27 papers and 326 indexed citations i.

About

Cunli Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Cunli Mao has authored 27 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Cunli Mao’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Cunli Mao is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Cunli Mao collaborates with scholars based in China, United States and Egypt. Cunli Mao's co-authors include Zhengtao Yu, Huafeng Li, Xiaohui Yuan, Mohamed Elhoseny, Hamdy K. Elminir, A. M. Riad, Xiaosong Li, Shengxiang Gao, Zhenqiu Shu and Hongbin Wang and has published in prestigious journals such as Sensors, Information Sciences and Neurocomputing.

In The Last Decade

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

Fields of papers citing papers by Cunli Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cunli 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 Cunli Mao. The network helps show where Cunli Mao may publish in the future.

Countries citing papers authored by Cunli Mao

Since Specialization
Citations

This map shows the geographic impact of Cunli 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 Cunli Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunli 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