Hong Man

2.5k citations
127 papers · 1.7k · h-index 21

Impact in

Papers in

Hong Man

123 papers receiving 1.6k citations

Peers

Hong Man
Comparison fields: 5 of 103
  • Computer Networks and Communications 698
  • Signal Processing 276
  • Computer Vision and Pattern Recognition 520
  • Artificial Intelligence 500
  • Media Technology 107
Replace Yen-Kuang Chen with:
Yen-Kuang Chen United States
Deepak S. Turaga United States
Kees Vissers United States
Suhaib A. Fahmy Singapore
Philip Branch Australia
Yuan Zhou China
Yuk Ying Chung Australia
Michel Barbeau Canada
Shuvra S. Bhattacharyya United States
Cristian Lumezanu United States
Hong Man relative to Yen-Kuang Chen United States Yen-Kuang Chen's profile →
Citations per field
00.5×1.5×
Yen-Kuang Chen · 1×
Citations per year

Countries citing papers authored by Hong Man

Since Specialization
Citations

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

Fields of papers citing papers by Hong Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hong Man, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hong Man Line = papers co-authored together Hong Man links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006157
2 2016137
3 2005124
4 201197
5 200590
6 201470
7 201256
8 199744
9 201241
10 200536
11 199936
12 200633
13 201432
14 201431
15 200928
16 201226
17 201225
18 200925
19 200823
20 201321

About Hong Man

Hong Man is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 127 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (21 papers), Cooperative Communication and Network Coding (13 papers), Image and Signal Denoising Methods (13 papers), Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (13 papers), Face and Expression Recognition (12 papers), Wireless Networks and Protocols (12 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Computer Networks and Communications (698 citations), Signal Processing (276 citations), Computer Vision and Pattern Recognition (520 citations), Artificial Intelligence (500 citations) and Media Technology (107 citations). Hong Man has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yu Liu, Jin Xu, Cristina Comaniciu, Haibo He, Haibo He, Yafeng Yin, Ling Chen, Bo Tang, M.J.T. Smith and F. Kossentini. Their work appears in journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Security and Networks and Cognitive Computation.

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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