Cong Jin

73 papers and 609 indexed citations i.

About

Cong Jin is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Polymers and Plastics. According to data from OpenAlex, Cong Jin has authored 73 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 19 papers in Safety, Risk, Reliability and Quality and 15 papers in Polymers and Plastics. Recurrent topics in Cong Jin’s work include Fire dynamics and safety research (17 papers), Flame retardant materials and properties (15 papers) and Music and Audio Processing (11 papers). Cong Jin is often cited by papers focused on Fire dynamics and safety research (17 papers), Flame retardant materials and properties (15 papers) and Music and Audio Processing (11 papers). Cong Jin collaborates with scholars based in China, Australia and Slovakia. Cong Jin's co-authors include Qiang Xu, Haitao Liu, Yong Jiang, Rhoda Afriyie Mensah, Solomon Asante‐Okyere, Andrea Majlingová, Lin Jiang, Ming Yan, Yun Tie and Ágoston Restás and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

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

Fields of papers citing papers by Cong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Jin

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025