Hang Li

163 papers and 2.0k indexed citations i.

About

Hang Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hang Li has authored 163 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 55 papers in Computer Vision and Pattern Recognition and 26 papers in Information Systems. Recurrent topics in Hang Li’s work include Natural Language Processing Techniques (18 papers), Text and Document Classification Technologies (14 papers) and Topic Modeling (14 papers). Hang Li is often cited by papers focused on Natural Language Processing Techniques (18 papers), Text and Document Classification Technologies (14 papers) and Topic Modeling (14 papers). Hang Li collaborates with scholars based in China, United States and Pakistan. Hang Li's co-authors include Shoulin Yin, Naoki Abe, Zhengdong Lu, Tie‐Yan Liu, Lin Ma, Lin Teng, Zhaopeng Tu, Tao Qin, Shahid Karim and Xiaohua Liu and has published in prestigious journals such as Scientific Reports, Journal of Cleaner Production and Food Chemistry.

In The Last Decade

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

Fields of papers citing papers by Hang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Li

Since Specialization
Citations

This map shows the geographic impact of Hang 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 Hang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang 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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2025