Runmin Cong

97 papers and 6.8k indexed citations i.

About

Runmin Cong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Runmin Cong has authored 97 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Vision and Pattern Recognition, 32 papers in Media Technology and 11 papers in Artificial Intelligence. Recurrent topics in Runmin Cong’s work include Visual Attention and Saliency Detection (43 papers), Image Enhancement Techniques (25 papers) and Advanced Image Processing Techniques (24 papers). Runmin Cong is often cited by papers focused on Visual Attention and Saliency Detection (43 papers), Image Enhancement Techniques (25 papers) and Advanced Image Processing Techniques (24 papers). Runmin Cong collaborates with scholars based in China, Hong Kong and Singapore. Runmin Cong's co-authors include Chongyi Li, Chunle Guo, Sam Kwong, Junhui Hou, Qingming Huang, Jichang Guo, Wenqi Ren, Huazhu Fu, Jianjun Lei and Yao Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Runmin Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Runmin Cong

Since Specialization
Citations

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