Wei Jin

49 papers and 375 indexed citations i.

About

Wei Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Wei Jin has authored 49 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 21 papers in Media Technology and 5 papers in Biomedical Engineering. Recurrent topics in Wei Jin’s work include Advanced Image Fusion Techniques (13 papers), Remote-Sensing Image Classification (11 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Wei Jin is often cited by papers focused on Advanced Image Fusion Techniques (13 papers), Remote-Sensing Image Classification (11 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Wei Jin collaborates with scholars based in China, United States and Australia. Wei Jin's co-authors include Randi Fu, Peng Feng, Biao Wei, Feng Shao, Xiangchao Meng, Yi-Je Lim, Jinlai Zhang, Yanmei Meng, Suvranu De and Shiming Yang and has published in prestigious journals such as Sensors, IEEE Access and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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