Mong‐Fong Horng

119 total papers · 851 total citations
53 papers, 471 citations indexed

About

Mong‐Fong Horng is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mong‐Fong Horng has authored 53 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mong‐Fong Horng's work include Network Security and Intrusion Detection (10 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Mobile Ad Hoc Networks (7 papers). Mong‐Fong Horng is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Mobile Ad Hoc Networks (7 papers). Mong‐Fong Horng collaborates with scholars based in Taiwan, Vietnam and China. Mong‐Fong Horng's co-authors include Chin‐Shiuh Shieh, Thanh-Tuan Nguyen, Yau-Hwang Kuo, Trong-The Nguyen, Thi-Kien Dao, Win-Bin Huang, Jeng‐Shyang Pan, Tsair-Fwu Lee, Hung‐Yu Wang and Fu‐Min Fang and has published in prestigious journals such as PLoS ONE, Sustainability and Signal Processing.

In The Last Decade

Mong‐Fong Horng

47 papers receiving 450 citations

Author Peers

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

Author Last Decade Papers Cites
Mong‐Fong Horng 196 131 110 87 81 53 471
Miao Yu 144 0.7× 158 1.2× 42 0.4× 161 1.9× 91 1.1× 40 442
Abdulaziz S. Almazyad 81 0.4× 165 1.3× 184 1.7× 57 0.7× 42 0.5× 66 552
Mohamed Saber 73 0.4× 166 1.3× 84 0.8× 86 1.0× 45 0.6× 49 488
Xu Lu 74 0.4× 91 0.7× 136 1.2× 86 1.0× 34 0.4× 52 525
J. Amudhavel 239 1.2× 150 1.1× 63 0.6× 156 1.8× 33 0.4× 52 542
Yuning Dong 291 1.5× 189 1.4× 115 1.0× 132 1.5× 97 1.2× 77 494
Dhirendra Pratap Singh 104 0.5× 93 0.7× 98 0.9× 70 0.8× 21 0.3× 62 449
Sultan Alamri 106 0.5× 99 0.8× 79 0.7× 94 1.1× 165 2.0× 53 466
Marjan Naderan 275 1.4× 260 2.0× 101 0.9× 77 0.9× 101 1.2× 32 524
Hao Zhou 85 0.4× 150 1.1× 66 0.6× 46 0.5× 38 0.5× 51 453

Countries citing papers authored by Mong‐Fong Horng

Since Specialization
Citations

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

Fields of papers citing papers by Mong‐Fong Horng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mong‐Fong Horng

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