Ming Hong

50 papers and 429 indexed citations i.

About

Ming Hong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Hong has authored 50 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Hong’s work include Text and Document Classification Technologies (5 papers), Advanced Image Processing Techniques (4 papers) and Recommender Systems and Techniques (3 papers). Ming Hong is often cited by papers focused on Text and Document Classification Technologies (5 papers), Advanced Image Processing Techniques (4 papers) and Recommender Systems and Techniques (3 papers). Ming Hong collaborates with scholars based in China, Hong Kong and Australia. Ming Hong's co-authors include Heyong Wang, Yanyun Qu, Yuan Xie, Cuihua Li, Yanyun Qu, Jianzhuang Liu, Jing Yang, Xiaofan Li, Chengjie Wang and Jun Liu and has published in prestigious journals such as The Science of The Total Environment, Energy and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Ming Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Hong

Since Specialization
Citations

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