Mo-Han Fong

17 total papers · 556 total citations
10 papers, 378 citations indexed

About

Mo-Han 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, Mo-Han Fong has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Mo-Han Fong's work include Wireless Communication Networks Research (8 papers), Advanced Wireless Network Optimization (7 papers) and Advanced Wireless Communication Techniques (6 papers). Mo-Han Fong is often cited by papers focused on Wireless Communication Networks Research (8 papers), Advanced Wireless Network Optimization (7 papers) and Advanced Wireless Communication Techniques (6 papers). Mo-Han Fong collaborates with scholars based in Canada, United States and Australia. Mo-Han Fong's co-authors include Mikio Iwamura, Kamran Etemad, Robert Love, V.K. Bhargava, Qiang Wang, Umesh Phuyal, Ali T. Koc, Rath Vannithamby, R. Novak and Geng‐Bo Wu and has published in prestigious journals such as IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Mo-Han Fong

10 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
Mo-Han Fong	361	295	33	22	20	10	378
Bikramjit Singh	339 0.9×	252 0.9×	45 1.4×	25 1.1×	30 1.5×	16	412
Huan Tang	334 0.9×	307 1.0×	15 0.5×	10 0.5×	16 0.8×	12	403
Simone Barbera	281 0.8×	229 0.8×	20 0.6×	13 0.6×	26 1.3×	17	338
Line M. P. Larsen	334 0.9×	231 0.8×	20 0.6×	29 1.3×	41 2.0×	11	386
Tuong Duc Hoang	312 0.9×	242 0.8×	9 0.3×	30 1.4×	10 0.5×	11	336
Kumar Balachandran	331 0.9×	152 0.5×	9 0.3×	36 1.6×	38 1.9×	8	350
Hai Tang	341 0.9×	232 0.8×	13 0.4×	28 1.3×	18 0.9×	10	389
Daniel Larsson	381 1.1×	272 0.9×	17 0.5×	53 2.4×	37 1.9×	8	434
Marco Belleschi	410 1.1×	304 1.0×	13 0.4×	12 0.5×	16 0.8×	15	431
Takehiro Nakamura	268 0.7×	132 0.4×	29 0.9×	60 2.7×	35 1.8×	10	352

Countries citing papers authored by Mo-Han Fong

Since Specialization

Citations

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

Fields of papers citing papers by Mo-Han Fong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo-Han Fong

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