Yu Fang

19 papers and 313 indexed citations i.

About

Yu Fang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Yu Fang has authored 19 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 5 papers in Signal Processing. Recurrent topics in Yu Fang’s work include Advanced Clustering Algorithms Research (4 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Yu Fang is often cited by papers focused on Advanced Clustering Algorithms Research (4 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Yu Fang collaborates with scholars based in China, Bahrain and United States. Yu Fang's co-authors include Zhengming Ma, Haijun Jiang, Shouyun Yu, Shen Xu, Changhua Song, Yu‐Peng He, Kelly C. Rice, Dong Wang, Xin-Ming Liu and Kenneth W. Bayles and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, IEEE Access and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Yu Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Fang

Since Specialization
Citations

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