Bernard Fong

153 total papers · 893 total citations
61 papers, 483 citations indexed

About

Bernard Fong is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bernard Fong has authored 61 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bernard Fong's work include Power Line Communications and Noise (8 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Wireless Communication Networks Research (6 papers). Bernard Fong is often cited by papers focused on Power Line Communications and Noise (8 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Wireless Communication Networks Research (6 papers). Bernard Fong collaborates with scholars based in New Zealand, Hong Kong and United States. Bernard Fong's co-authors include A.C.M. Fong, G.Y. Hong, Nirwan Ansari, Predrag Rapajic, Joyce H. D. M. Westerink, Kim Fung Tsang, Chenyang Yang, Yuan‐Ting Zhang, Patricia A. Jennings and Stuart J. Barnes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE Access.

In The Last Decade

Bernard Fong

54 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Bernard Fong 202 164 71 62 41 61 483
Janez Bešter 197 1.0× 233 1.4× 26 0.4× 69 1.1× 36 0.9× 46 509
M. C. Rodriguez‐Sanchez 79 0.4× 74 0.5× 85 1.2× 73 1.2× 40 1.0× 42 534
Tareq Alhmiedat 216 1.1× 174 1.1× 23 0.3× 151 2.4× 44 1.1× 48 534
Mónica Huerta 106 0.5× 124 0.8× 81 1.1× 29 0.5× 25 0.6× 98 527
Ming-Hui Jin 282 1.4× 166 1.0× 30 0.4× 48 0.8× 34 0.8× 28 467
Massimiliano Donati 79 0.4× 98 0.6× 122 1.7× 90 1.5× 36 0.9× 41 448
Yang Sun Lee 153 0.8× 166 1.0× 25 0.4× 49 0.8× 65 1.6× 79 441
Manato Fujimoto 186 0.9× 131 0.8× 48 0.7× 183 3.0× 38 0.9× 82 488
Sergio Camorlinga 227 1.1× 326 2.0× 154 2.2× 66 1.1× 36 0.9× 38 516
Răzvan Crăciunescu 165 0.8× 271 1.7× 40 0.6× 125 2.0× 63 1.5× 49 519

Countries citing papers authored by Bernard Fong

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Fong

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