Fang Kong

28 papers and 120 indexed citations i.

About

Fang Kong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Fang Kong has authored 28 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Fang Kong’s work include Topic Modeling (25 papers), Natural Language Processing Techniques (23 papers) and Text and Document Classification Technologies (5 papers). Fang Kong is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (23 papers) and Text and Document Classification Technologies (5 papers). Fang Kong collaborates with scholars based in China, Singapore and United States. Fang Kong's co-authors include Guodong Zhou, Hwee Tou Ng, Qiaoming Zhu, Peifeng Li, Zheng Zhang, Lee‐Ling Sharon Ong, Ming Dao, H. Harry Asada, Longyin Zhang and Justin Dauwels and has published in prestigious journals such as Frontiers of Computer Science, Journal of Computer Science and Technology and Applied Mechanics and Materials.

In The Last Decade

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

Fields of papers citing papers by Fang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Kong

Since Specialization
Citations

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