Guangsen Wang

826 citations
49 papers · 484 · h-index 12

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

Guangsen Wang

45 papers receiving 439 citations

Peers

Guangsen Wang
Comparison fields: 5 of 45
  • Signal Processing 275
  • Artificial Intelligence 389
  • Computer Vision and Pattern Recognition 55
  • Health Informatics 2
  • Control and Systems Engineering 31
Replace Syeda Manjia Tahsien with:
Syeda Manjia Tahsien Canada
Mingshu He China
Agus Bejo Indonesia
Devrim Akgün Türkiye
Asmaa Halbouni Malaysia
Moirangthem Marjit Singh India
Yixuan Wu China
Gisung Kim South Korea
Haojun Zhao China
Jun Wen Wong Singapore
Guangsen Wang relative to Syeda Manjia Tahsien Canada Syeda Manjia Tahsien's profile →
Citations per field
00.5×20×40×64×
Syeda Manjia Tahsien · 1×
Citations per year

Countries citing papers authored by Guangsen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangsen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 201954
3 201944
4 201838
5 202038
6 202326
7 202018
8 201617
9 201115
10 201013
11 201411
12 200911
13 20189
14 20169
15 20218
16 20086
17 20226
18 20125
19 20194
20 20164

About Guangsen Wang

Guangsen Wang is a scholar working on Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering, having authored 49 papers that have together received 484 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (13 papers), Natural Language Processing Techniques (9 papers), Music and Audio Processing (9 papers), Multilevel Inverters and Converters (6 papers), Real-time simulation and control systems (6 papers), Advanced DC-DC Converters (5 papers) and HVDC Systems and Fault Protection (5 papers). The work is most often cited by research in Signal Processing (275 citations), Artificial Intelligence (389 citations), Computer Vision and Pattern Recognition (55 citations), Health Informatics (2 citations) and Control and Systems Engineering (31 citations). Guangsen Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dan Su, Chao Weng, Dong Yu, Khe Chai Sim, Lei Xie, Min Luo, Changhao Shan, Kong Aik Lee, Bin Ma and Haizhou Li. Their work appears in journals such as Electric Power Systems Research, International Journal of Circuit Theory and Applications, IEEE Transactions on Plasma Science, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Measurement.

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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