Ming Fang

79 papers and 743 indexed citations i.

About

Ming Fang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Fang has authored 79 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Fang’s work include Video Surveillance and Tracking Methods (9 papers), Image Enhancement Techniques (8 papers) and Advanced Vision and Imaging (7 papers). Ming Fang is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Image Enhancement Techniques (8 papers) and Advanced Vision and Imaging (7 papers). Ming Fang collaborates with scholars based in China, United States and Japan. Ming Fang's co-authors include Shang‐Hong Lai, Maria K. LaGasse, Kenneth S. Suslick, Jon R. Askim, Zheng Li, Qiong Chen, Fangfang Liu, Tingting Wu, Gerd Häusler and Peter Cooper and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Ming Fang i

Fields of papers citing papers by Ming Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Fang

Since Specialization
Citations

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