Yao-Chung Fan

31 papers and 163 indexed citations i.

About

Yao-Chung Fan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Yao-Chung Fan has authored 31 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 6 papers in Signal Processing. Recurrent topics in Yao-Chung Fan’s work include Topic Modeling (9 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Natural Language Processing Techniques (6 papers). Yao-Chung Fan is often cited by papers focused on Topic Modeling (9 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Natural Language Processing Techniques (6 papers). Yao-Chung Fan collaborates with scholars based in Taiwan, United States and China. Yao-Chung Fan's co-authors include Arbee L. P. Chen, Shou‐Mei Wu, Chung‐An Chen, Yu-Chun Yen, Peng‐Wei Wang, Wen-Chih Peng, Shyh‐Horng Chiou, Wei‐Yao Wang, Yu‐Chi Chen and Shiann‐Tsong Sheu and has published in prestigious journals such as Sensors and Actuators B Chemical, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Yao-Chung Fan i

Fields of papers citing papers by Yao-Chung Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yao-Chung Fan

Since Specialization
Citations

This map shows the geographic impact of Yao-Chung 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 Yao-Chung Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao-Chung 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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2025