Zheng Lin

78 papers and 671 indexed citations i.

About

Zheng Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Zheng Lin has authored 78 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Zheng Lin’s work include Topic Modeling (25 papers), Multimodal Machine Learning Applications (13 papers) and Natural Language Processing Techniques (12 papers). Zheng Lin is often cited by papers focused on Topic Modeling (25 papers), Multimodal Machine Learning Applications (13 papers) and Natural Language Processing Techniques (12 papers). Zheng Lin collaborates with scholars based in China, United States and Japan. Zheng Lin's co-authors include Weiping Wang, Peng Fu, T. Watanabe, Atsuo Kuramasu, Kazuhiko Yanai, Sou Katsuyama, Jalal Izadi Mobarakeh, Yinliang Yue, Yong Liu and Yuanxin Liu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Zheng Lin i

Fields of papers citing papers by Zheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zheng Lin

Since Specialization
Citations

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