Wu Chou

3.1k citations
121 papers · 2.4k · 1 hit paper · h-index 25

Impact in

Papers in

Wu Chou

121 papers receiving 2.1k citations

Wu Chou's Hit Papers

A roadmap for traffic engineering in SDN-OpenFlow networks 2014 · 433 citations
4330+4+8Years since publication100200300400

Peers

Wu Chou
Comparison fields: 5 of 90
  • Signal Processing 680
  • Computer Networks and Communications 1.0k
  • Artificial Intelligence 1.0k
  • Information Systems 426
  • Computer Vision and Pattern Recognition 269
Replace Cliff Wang with:
Cliff Wang United States
Andreas Haeberlen United States
Andrea Pugliese Italy
Jun Xu United States
Wei Hu China
Joseph Zambreno United States
Luigi V. Mancini Italy
Dongho Won South Korea
Nicolas Sklavos Greece
Dakshi Agrawal United States
Wu Chou relative to Cliff Wang United States Cliff Wang's profile →
Citations per field
00.5×2.6×
Cliff Wang · 1×
Citations per year

Countries citing papers authored by Wu Chou

Since Specialization
Citations

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

Fields of papers citing papers by Wu Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A roadmap for traffic engineering in SDN-OpenFlow networks
Hit paper breakdown →
2014433
2 1992120
3 2016114
4 2008107
5 201489
6 198988
7 198985
8 199164
9 200264
10 201663
11 199363
12 199948
13 199644
14 199544
15 201141
16 200040
17 199939
18 201038
19 201534
20 199831

About Wu Chou

Wu Chou is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (41 papers), Speech Recognition and Synthesis (29 papers), Speech and Audio Processing (23 papers), Speech and dialogue systems (16 papers), Mobile Agent-Based Network Management (16 papers), Music and Audio Processing (13 papers), Software-Defined Networks and 5G (13 papers) and Natural Language Processing Techniques (10 papers). The work is most often cited by research in Signal Processing (680 citations), Computer Networks and Communications (1.0k citations), Artificial Intelligence (1.0k citations), Information Systems (426 citations) and Computer Vision and Pattern Recognition (269 citations). Wu Chou has collaborated with scholars based in United States, Bermuda and China. Frequent co-authors include Min Luo, Ahyoung Lee, Pu Wang, Ian F. Akyildiz, Robert M. Gray, B.-H. Juang, Wolfgang Reichl, Li Li, Paul Wong and Xiaodong He. Their work appears in journals such as Computer Networks, The Journal of the Acoustical Society of America, IEEE Transactions on Information Theory, IEEE Signal Processing Magazine and IEEE Transactions on Communications.

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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