Dennis Hui

716 citations
48 papers · 477 · h-index 10

Impact in

Papers in

Dennis Hui

40 papers receiving 455 citations

Peers

Dennis Hui
Comparison fields: 5 of 59
  • Computer Networks and Communications 251
  • Electrical and Electronic Engineering 313
  • Computer Vision and Pattern Recognition 67
  • Media Technology 25
  • Signal Processing 27
Replace Chih‐Lin Hu with:
Chih‐Lin Hu Taiwan
Jisu Kim South Korea
Valerio Luconi Italy
Kristen Ann Woyach United States
Zachary S. Bischof United States
Shuowei Jin China
K. S. Easwarakumar India
Nikos Dimitriou Greece
Mariya Zheleva United States
Wenan Zhou China
Dennis Hui relative to Chih‐Lin Hu Taiwan Chih‐Lin Hu's profile →
Citations per field
00.5×3.2×
Chih‐Lin Hu · 1×
Citations per year

Countries citing papers authored by Dennis Hui

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dennis Hui, 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 Dennis Hui Line = papers co-authored together Dennis Hui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201898
2 200193
3 201766
4 199925
5 201723
6 201321
7 200316
8 201615
9 20029
10 20189
11 20177
12 20227
13 19986
14 20156
15 19936
16 20056
17 20185
18 20045
19 20035
20 20035

About Dennis Hui

Dennis Hui is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, having authored 48 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (25 papers), Advanced MIMO Systems Optimization (16 papers), Cooperative Communication and Network Coding (15 papers), Wireless Communication Networks Research (12 papers), Power Line Communications and Noise (11 papers), Error Correcting Code Techniques (8 papers), Advanced Data Compression Techniques (7 papers) and Full-Duplex Wireless Communications (6 papers). The work is most often cited by research in Computer Networks and Communications (251 citations), Electrical and Electronic Engineering (313 citations), Computer Vision and Pattern Recognition (67 citations), Media Technology (25 citations) and Signal Processing (27 citations). Dennis Hui has collaborated with scholars based in United States, Sweden and South Korea. Frequent co-authors include David L. Neuhoff, Yufei Blankenship, Lewis T.O. Cheung, Mattias Andersson, Song-Nam Hong, Hüseyin Arslan, K.C. Zangi, Ivana Marić, Jung-Fu Cheng and Sherif S. Sherif. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Communications Standards Magazine, Transactions on Emerging Telecommunications Technologies, IEEE Transactions on Wireless Communications and IEEE Transactions on Image Processing.

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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