Yao-Chung Fan

94 total papers · 621 total citations
46 papers, 344 citations indexed

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 46 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 9 papers in Signal Processing. Recurrent topics in Yao-Chung Fan's work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Human Mobility and Location-Based Analysis (8 papers). Yao-Chung Fan is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Human Mobility and Location-Based Analysis (8 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, Wen-Chih Peng, Yu-Chun Yen, Chung‐An Chen, Shou‐Mei Wu, Peng‐Wei Wang, Hsin-Lan Lin, Kuo-Chen Wu, Albert Rizzo and Chia‐Fen Tsai and has published in prestigious journals such as IEEE Access, Sensors and Actuators B Chemical and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yao-Chung Fan

43 papers receiving 334 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yao-Chung Fan 136 64 51 49 47 46 344
Renato R. Maaliw 75 0.6× 50 0.8× 37 0.7× 24 0.5× 39 0.8× 69 378
Pan Hu 95 0.7× 98 1.5× 59 1.2× 36 0.7× 53 1.1× 45 341
Jiangtao Ma 152 1.1× 48 0.8× 30 0.6× 66 1.3× 30 0.6× 36 375
Martin Mladenov 157 1.2× 95 1.5× 43 0.8× 10 0.2× 75 1.6× 32 330
Yu Sheng 71 0.5× 31 0.5× 100 2.0× 21 0.4× 67 1.4× 52 333
Behrooz Masoumi 158 1.2× 85 1.3× 80 1.6× 9 0.2× 34 0.7× 44 365
Xintao Ding 79 0.6× 70 1.1× 36 0.7× 18 0.4× 11 0.2× 35 332
Mukesh Kumar 109 0.8× 36 0.6× 26 0.5× 22 0.4× 11 0.2× 51 323
Jibing Gong 178 1.3× 46 0.7× 77 1.5× 7 0.1× 53 1.1× 50 382
Haoran Li 113 0.8× 30 0.5× 26 0.5× 22 0.4× 20 0.4× 42 326

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yao-Chung Fan. A scholar is included among the top collaborators of Yao-Chung Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yao-Chung Fan. Yao-Chung Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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