Hang Yin

42 papers and 365 indexed citations i.

About

Hang Yin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Accounting. According to data from OpenAlex, Hang Yin has authored 42 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Accounting. Recurrent topics in Hang Yin’s work include Financial Distress and Bankruptcy Prediction (6 papers), Imbalanced Data Classification Techniques (6 papers) and Video Surveillance and Tracking Methods (4 papers). Hang Yin is often cited by papers focused on Financial Distress and Bankruptcy Prediction (6 papers), Imbalanced Data Classification Techniques (6 papers) and Video Surveillance and Tracking Methods (4 papers). Hang Yin collaborates with scholars based in China, United States and Macao. Hang Yin's co-authors include Lean Yu, Xiaoming Zhang, Jianyu Zhao, Guohua Wan, Hongling Zhu, Yulong Xiong, Beitong Zhou, Jingyi Wang, Ye Yuan and Xingyi Li and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Hang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Yin

Since Specialization
Citations

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