Sheng Jin

66 papers and 673 indexed citations i.

About

Sheng Jin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sheng Jin has authored 66 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Sheng Jin’s work include Robotics and Sensor-Based Localization (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Metallurgical and Alloy Processes (5 papers). Sheng Jin is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Metallurgical and Alloy Processes (5 papers). Sheng Jin collaborates with scholars based in China, United States and Italy. Sheng Jin's co-authors include Robert Johnson, Christian Leinenbach, Patrick A. Hogan, A Barbe, Zhi Wang, Hong Chen, Zhanjun Wu, Guodong Shi, Xiaoli Liu and Xin Wang and has published in prestigious journals such as Advanced Materials, Applied Catalysis B Environment and Energy and Journal of Power Sources.

In The Last Decade

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

Fields of papers citing papers by Sheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Jin

Since Specialization
Citations

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