Mou Wang

1.6k citations
65 papers · 1.1k · 1 hit paper · h-index 19

Impact in

Papers in

Mou Wang

60 papers receiving 1.1k citations

Mou Wang's Hit Papers

On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning 2025 · 31 citations
310Years since publication102030

Peers

Mou Wang
Comparison fields: 5 of 133
  • Media Technology 158
  • Signal Processing 106
  • Speech and Hearing 52
  • Computational Mathematics 4
  • Biomedical Engineering 268
Replace Michel Schmitt with:
Michel Schmitt France
Yaru Wang China
Wen Wang China
Zian Wang China
Xuemei Zhao China
Lei Feng China
Takayuki Saito Japan
Mou Wang relative to Michel Schmitt France Michel Schmitt's profile →
Citations per field
00.5×10×20×30×40×47×
Michel Schmitt · 1×
Citations per year

Countries citing papers authored by Mou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201873
3 202269
4 202365
5 202159
6 201947
7 202147
8 202146
9 202136
10 202233
11
On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning
Hit paper breakdown →
202531
12 202230
13 202029
14 202128
15 202127
16 202026
17 202026
18 201423
19 202221
20 201918

About Mou Wang

Mou Wang is a scholar working on Signal Processing, Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition and Oceanography, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (20 papers), Music and Audio Processing (12 papers), Speech Recognition and Synthesis (11 papers), Acoustic Wave Phenomena Research (7 papers), Noise Effects and Management (4 papers), Underwater Acoustics Research (4 papers), Geological and Geochemical Analysis (4 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Media Technology (158 citations), Signal Processing (106 citations), Speech and Hearing (52 citations), Computational Mathematics (4 citations) and Biomedical Engineering (268 citations). Mou Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Susanto Rahardja, Jie Chen, Min Zhao, Nansha Gao, Baozhu Cheng, Mengping Zhang, Hong Hou, Chuan Wang, Zhirong Zhang and Qian Wang. Their work appears in journals such as Applied Acoustics, Chemical Science, Ore Geology Reviews, Advances in Climate Change Research and IEEE Geoscience and Remote Sensing Letters.

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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