Kai Jin

17 papers and 296 indexed citations i.

About

Kai Jin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Kai Jin has authored 17 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Kai Jin’s work include Face recognition and analysis (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Kai Jin is often cited by papers focused on Face recognition and analysis (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Kai Jin collaborates with scholars based in China, United States and United Kingdom. Kai Jin's co-authors include Xiuzhuang Zhou, Guodong Guo, Yuanyuan Shang, Liang-Hui Wang, Gwo‐Jen Hwang, Yuxiao Guo, Huamin Qu, Dongyu Liu, Weiwei Cui and Qian Chen and has published in prestigious journals such as Advanced Functional Materials, Water Research and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Kai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Jin

Since Specialization
Citations

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