Hailong Jin

28 papers and 223 indexed citations i.

About

Hailong Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Hailong Jin has authored 28 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Global and Planetary Change. Recurrent topics in Hailong Jin’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (3 papers). Hailong Jin is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (3 papers). Hailong Jin collaborates with scholars based in China, United States and Germany. Hailong Jin's co-authors include Kang Sun, Yong Zhang, Yinxi Zhang, Yongzhong Fan, Urs P. Kreuter, Richard Teague, Tong Wang, Chengli Zhang, Lei Hou and Juanzi Li and has published in prestigious journals such as Journal of Environmental Management, BMJ Open and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Hailong Jin i

Fields of papers citing papers by Hailong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailong Jin

Since Specialization
Citations

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