Fangyu Gai

31 total papers · 592 total citations
17 papers, 241 citations indexed

About

Fangyu Gai is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fangyu Gai has authored 17 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Fangyu Gai's work include Blockchain Technology Applications and Security (12 papers), Distributed systems and fault tolerance (9 papers) and IoT and Edge/Fog Computing (4 papers). Fangyu Gai is often cited by papers focused on Blockchain Technology Applications and Security (12 papers), Distributed systems and fault tolerance (9 papers) and IoT and Edge/Fog Computing (4 papers). Fangyu Gai collaborates with scholars based in Canada, China and United States. Fangyu Gai's co-authors include Wenping Deng, Dongxing Li, Wei Peng, Jianyu Niu, Chen Feng, Xinwen Jiang, Peidong Zhu, Jiexin Zhang, Sheng Wang and Ziyu Wang and has published in prestigious journals such as IEEE Internet of Things Journal, IEEE Transactions on Dependable and Secure Computing and Wireless Communications and Mobile Computing.

In The Last Decade

Fangyu Gai

16 papers receiving 238 citations

Author Peers

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

Author Last Decade Papers Cites
Fangyu Gai 187 155 54 28 18 17 241
Kaniz Fatema 119 0.6× 148 1.0× 61 1.1× 16 0.6× 17 0.9× 15 223
Daochao Huang 168 0.9× 236 1.5× 54 1.0× 69 2.5× 22 1.2× 26 327
Michal Trnka 189 1.0× 196 1.3× 78 1.4× 11 0.4× 26 1.4× 12 269
Changting Lin 123 0.7× 130 0.8× 86 1.6× 25 0.9× 43 2.4× 19 239
Ibrahim Tariq Javed 180 1.0× 129 0.8× 86 1.6× 55 2.0× 23 1.3× 23 302
Xinyin Xiang 195 1.0× 125 0.8× 124 2.3× 50 1.8× 13 0.7× 14 282
Emmanuel Conchon 90 0.5× 128 0.8× 61 1.1× 30 1.1× 48 2.7× 21 230
Laurent Réveillère 111 0.6× 129 0.8× 45 0.8× 18 0.6× 12 0.7× 25 206
Haomeng Xie 121 0.6× 177 1.1× 135 2.5× 66 2.4× 28 1.6× 10 304
Erez Waisbard 125 0.7× 141 0.9× 64 1.2× 15 0.5× 21 1.2× 14 194

Countries citing papers authored by Fangyu Gai

Since Specialization
Citations

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

Fields of papers citing papers by Fangyu Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyu Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Fangyu Gai. A scholar is included among the top collaborators of Fangyu Gai 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 Fangyu Gai. Fangyu Gai 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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