Hanli Wang

147 papers and 2.3k indexed citations i.

About

Hanli Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hanli Wang has authored 147 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Vision and Pattern Recognition, 32 papers in Signal Processing and 21 papers in Artificial Intelligence. Recurrent topics in Hanli Wang’s work include Human Pose and Action Recognition (31 papers), Multimodal Machine Learning Applications (29 papers) and Image and Video Quality Assessment (28 papers). Hanli Wang is often cited by papers focused on Human Pose and Action Recognition (31 papers), Multimodal Machine Learning Applications (29 papers) and Image and Video Quality Assessment (28 papers). Hanli Wang collaborates with scholars based in China, Hong Kong and United States. Hanli Wang's co-authors include Sam Kwong, Pengjie Tang, C.‐C. Jay Kuo, Chi-Ho Tsang, Chi‐Wah Kok, Sudeng Hu, Qinyu Li, Bowen Zhang, Tiesong Zhao and K.F. Man and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Macromolecules and Journal of Membrane Science.

In The Last Decade

Co-authorship network of co-authors of Hanli Wang i

Fields of papers citing papers by Hanli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanli Wang

Since Specialization
Citations

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