Hui Wang

25.8k citations
1.2k papers · 15.8k indexed · 3 hit papers · h-index 61

Hui Wang

1.0k papers receiving 15.2k citations

Hit Papers

A Sliding Window Common Spa...1862011202620162021100200300400

Peers

Hui Wang
Comparison fields: 5 of 231
  • Computer Vision and Pattern Recognition 2.9k
  • Artificial Intelligence 3.8k
  • Signal Processing 1.1k
  • Management Science and Operations Research 986
  • Human-Computer Interaction 432
Replace Tom Fawcett with:
Tom Fawcett United States
Zhen Wang China
Ron Kohavi United States
Aboul Ella Hassanien Egypt
Mark Hall United Kingdom
Isabelle Guyon United States
John Langford United States
Thomas G. Dietterich United States
Simon Haykin Canada
Saeid Nahavandi Australia
Hui Wang relative to Tom Fawcett United States Tom Fawcett's profile →
Citations per field
00.5×1.5×2.5×
Tom Fawcett · 1×
Citations per year

Countries citing papers authored by Hui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20242
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5 20246
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12 20236
13 202330
14 20231
15 202110
16 202012
17 201929
18 20197
19 201841
20
Influence of adjuvant levetiracetam therapy on serum nerve cytokines and apoptosis molecules in patients with refractory partial epileptic seizure
20171

About Hui Wang

Hui Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Analytical Chemistry and Human-Computer Interaction, having authored 1.2k papers that have together received 15.8k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (48 papers), Advanced Image and Video Retrieval Techniques (46 papers), Rough Sets and Fuzzy Logic (45 papers), Image Retrieval and Classification Techniques (43 papers), Topic Modeling (39 papers), Complex Network Analysis Techniques (32 papers), Advanced Chemical Sensor Technologies (31 papers) and Data Management and Algorithms (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Artificial Intelligence (3.8k citations), Signal Processing (1.1k citations), Management Science and Operations Research (986 citations) and Human-Computer Interaction (432 citations). Hui Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Liming Chen, Chris Nugent, Jun Liu, Pramod Gaur, Ram Bilas Pachori, Paul Dupuis, Girijesh Prasad, Degang Chen, David Bell and Weiran Song. Their work appears in journals such as Information Sciences, International Journal of Computational Intelligence Systems, International Journal of Machine Learning and Cybernetics, Neurocomputing and IEEE Access.

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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