Shasha Li

About

Shasha Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shasha Li has authored 61 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 20 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shasha Li’s work include Topic Modeling (23 papers), Advanced Computational Techniques and Applications (15 papers) and Adversarial Robustness in Machine Learning (11 papers). Shasha Li is often cited by papers focused on Topic Modeling (23 papers), Advanced Computational Techniques and Applications (15 papers) and Adversarial Robustness in Machine Learning (11 papers). Shasha Li collaborates with scholars based in China, United States and Canada. Shasha Li's co-authors include Tie Jun Cui, Jintao Tang, Yusong Tan, Qingbo Wu, Jun Ma, Jie Yu, Amit K. Roy–Chowdhury, Young-In Song, Chin-Yew Lin and Zhoujun Li and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Shasha Li i

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Fields of papers citing papers by Shasha Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shasha Li

Since Specialization

Citations

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