Mou Wang

1.5k total citations · 1 hit paper
64 papers, 1.0k citations indexed

About

Mou Wang is a scholar working on Signal Processing, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mou Wang has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 16 papers in Artificial Intelligence and 12 papers in Biomedical Engineering. Recurrent topics in Mou Wang's work include Speech and Audio Processing (19 papers), Music and Audio Processing (12 papers) and Speech Recognition and Synthesis (11 papers). Mou Wang is often cited by papers focused on Speech and Audio Processing (19 papers), Music and Audio Processing (12 papers) and Speech Recognition and Synthesis (11 papers). Mou Wang collaborates with scholars based in China, Singapore and United States. Mou Wang's co-authors include Susanto Rahardja, Jie Chen, Min Zhao, Nansha Gao, Baozhu Cheng, Mengping Zhang, Hong Hou, Chuan Wang, Zhirong Zhang and Qian Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry of Materials and Scientific Reports.

In The Last Decade

Mou Wang

56 papers receiving 984 citations

Hit Papers

On-demand prediction of low-frequency average sound absor... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning
    2025 16 citations Nansha Gao, Mou Wang et al. Results in Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mou Wang China 18 250 157 140 106 102 64 1.0k
Yaru Wang China 20 362 1.4× 68 0.4× 100 0.7× 190 1.8× 35 0.3× 122 1.5k
Yuan Zhou China 26 267 1.1× 365 2.3× 211 1.5× 286 2.7× 140 1.4× 141 2.1k
Xiaolin Han China 18 644 2.6× 175 1.1× 96 0.7× 37 0.3× 24 0.2× 65 1.4k
Xuemei Zhao China 19 503 2.0× 101 0.6× 133 0.9× 64 0.6× 34 0.3× 116 1.5k
Michel Schmitt France 16 158 0.6× 84 0.5× 103 0.7× 51 0.5× 54 0.5× 52 1.1k
Qinglong Zhang China 18 89 0.4× 107 0.7× 218 1.6× 101 1.0× 39 0.4× 79 1.5k
R. Sivakumar India 23 198 0.8× 55 0.4× 145 1.0× 46 0.4× 187 1.8× 153 3.4k
Wenchao Zhang China 17 177 0.7× 102 0.6× 57 0.4× 282 2.7× 29 0.3× 45 1.7k
Xiaoling Li China 19 289 1.2× 76 0.5× 76 0.5× 281 2.7× 13 0.1× 139 1.6k
Xinxin Liu China 18 91 0.4× 367 2.3× 75 0.5× 76 0.7× 80 0.8× 123 1.2k

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-authorship network of co-authors of Mou Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mou Wang. A scholar is included among the top collaborators of Mou Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mou Wang. Mou Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gao, Nansha, Mou Wang, Xiao Liang, & Guang Pan. (2025). On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning. Results in Engineering. 25. 104163–104163. 16 indexed citations breakdown →
2.
Yang, Feiran, et al.. (2025). Low-complexity bone conduction-aided speech enhancement leveraging sub-band and full-band architecture. Applied Acoustics. 240. 110924–110924.
3.
Gao, Nansha, Jiacheng Guo, Mou Wang, et al.. (2025). On demand design of two-dimensional phononic crystal bandgap based on machine learning and multi-objective topology optimization. Mechanical Systems and Signal Processing. 242. 113670–113670.
4.
Cao, Fangfang, Mou Wang, Chao Hou, et al.. (2025). Inverse design of bending channel sound-absorbing structures with porous material by two-stage deep neural network model. Physica Scripta. 100(5). 55963–55963. 4 indexed citations
5.
6.
Chen, Jianfeng, et al.. (2024). Multi-granularity acoustic information fusion for sound event detection. Signal Processing. 227. 109691–109691.
7.
Li, Di, Mou Wang, & Susanto Rahardja. (2024). Contrastive learning for deep tone mapping operator. Signal Processing Image Communication. 126. 117130–117130.
8.
Li, Pengfei, et al.. (2024). Poly(acrylic acid)-Derived Zwitterionic Hydrogel Unlocking Underwater Adhesion and Swelling Resistance for Applications as a Tissue Patch. Chemistry of Materials. 36(21). 10822–10830. 4 indexed citations
9.
Chen, Jianfeng, et al.. (2023). SSDPT: Self-supervised dual-path transformer for anomalous sound detection. Digital Signal Processing. 135. 103939–103939. 13 indexed citations
10.
11.
Wang, Mou, et al.. (2022). End-to-End Multi-Modal Speech Recognition on an Air and Bone Conducted Speech Corpus. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 513–524. 14 indexed citations
12.
Liu, Chuanhong, Yangming Wang, Mou Wang, et al.. (2022). Timing matters: pre-assembly versus post-assembly functionalization of a polyoxovanadate–organic cuboid. Chemical Science. 13(19). 5718–5725. 16 indexed citations
13.
Chen, Jianfeng, et al.. (2022). A Squeeze-and-Excitation and Transformer-Based Cross-Task Model for Environmental Sound Recognition. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1501–1513. 6 indexed citations
14.
Wang, Mou, et al.. (2022). A lightweight classification of adaptor proteins using transformer networks. BMC Bioinformatics. 23(1). 461–461. 6 indexed citations
15.
Zhang, Ying, et al.. (2021). Just transition in climate regime: concept development and governance progress. Advances in Climate Change Research. 17(2). 245. 4 indexed citations
16.
Zhang, Mengping, Mou Wang, & Chuan Wang. (2020). Nuclear transformation of Chlamydomonas reinhardtii: A review. Biochimie. 181. 1–11. 28 indexed citations
17.
Wang, Mou, et al.. (2020). Characterization of a novel halotolerant esterase from Chromohalobacter canadensis isolated from salt well mine. 3 Biotech. 10(10). 430–430. 8 indexed citations
18.
19.
Wang, Mou. (2007). Research on Influencing Factors of GPR's Detection Effectiveness. Radar Science and Technology.
20.
Wang, Mou. (2005). Quaternary tills at the pass of the Tanggula Mountains on the Qinghai-Tibet Plateau and their geological-environmental significance. 2 indexed citations

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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