Cong Shi

54 papers and 260 indexed citations i.

About

Cong Shi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Cong Shi has authored 54 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Cong Shi’s work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and CCD and CMOS Imaging Sensors (12 papers). Cong Shi is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and CCD and CMOS Imaging Sensors (12 papers). Cong Shi collaborates with scholars based in China, United States and Hong Kong. Cong Shi's co-authors include Gang Luo, Nanjian Wu, Xichuan Zhou, Junxian He, Liyuan Liu, Ying Wang, Ping Li, Min Tian, Fang Tang and Dong Feng Chen and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Sensors.

In The Last Decade

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

Fields of papers citing papers by Cong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Shi

Since Specialization
Citations

This map shows the geographic impact of Cong Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Shi 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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2025