Cheng Jin

27 papers and 407 indexed citations i.

About

Cheng Jin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Cheng Jin has authored 27 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Cheng Jin’s work include Industrial Vision Systems and Defect Detection (6 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Image and Object Detection Techniques (3 papers). Cheng Jin is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Image and Object Detection Techniques (3 papers). Cheng Jin collaborates with scholars based in China, South Korea and Japan. Cheng Jin's co-authors include Minghao Piao, Keun Ho Ryu, Gouchol Pok, Jong Yun Lee, Yongjun Piao, Meijing Li, Yongmi Lee, Unil Yun, Ho Sun Shon and H Takeshita and has published in prestigious journals such as Energy Conversion and Management, Mechanical Systems and Signal Processing and Journal of Cellular Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Cheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Jin

Since Specialization
Citations

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