Bing Fan

About

Bing Fan is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Bing Fan has authored 19 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Bing Fan’s work include Cellular Automata and Applications (6 papers), Algorithms and Data Compression (4 papers) and Advanced Data Storage Technologies (4 papers). Bing Fan is often cited by papers focused on Cellular Automata and Applications (6 papers), Algorithms and Data Compression (4 papers) and Advanced Data Storage Technologies (4 papers). Bing Fan collaborates with scholars based in China, United States and France. Bing Fan's co-authors include Zhifeng Hu, Shaowei Hu, Changtai Zhao, Xiangyu Zhang, Huanxiang Liu, Xiaojun Yao, Hao Du, H.K. Thapar, Jingya Wang and Paul H. Siegel and has published in prestigious journals such as IEEE Transactions on Communications, Talanta and Toxicology.

In The Last Decade

Co-authorship network of co-authors of Bing Fan i

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Fields of papers citing papers by Bing Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bing Fan

Since Specialization

Citations

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