Maoshen Jia

475 total citations
80 papers, 295 citations indexed

About

Maoshen Jia is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maoshen Jia has authored 80 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Signal Processing, 33 papers in Computational Mechanics and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maoshen Jia's work include Speech and Audio Processing (67 papers), Advanced Adaptive Filtering Techniques (33 papers) and Music and Audio Processing (26 papers). Maoshen Jia is often cited by papers focused on Speech and Audio Processing (67 papers), Advanced Adaptive Filtering Techniques (33 papers) and Music and Audio Processing (26 papers). Maoshen Jia collaborates with scholars based in China, Australia and France. Maoshen Jia's co-authors include Changchun Bao, Christian Ritz, Jing Wang, Yuxuan Wu, Xiguang Zheng, Bing Bu, Li Lü, Xin Liu, Jiaming Zhang and Yitian Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Maoshen Jia

61 papers receiving 287 citations

Peers

Maoshen Jia
Maoshen Jia
Citations per year, relative to Maoshen Jia Maoshen Jia (= 1×) peers Heinrich W. Löllmann

Countries citing papers authored by Maoshen Jia

Since Specialization
Citations

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

Fields of papers citing papers by Maoshen Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoshen Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Maoshen Jia. A scholar is included among the top collaborators of Maoshen Jia 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 Maoshen Jia. Maoshen Jia 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.
Zhang, Xinfeng, et al.. (2025). 3D segmentation combining spatial and multi‐scale features for intracranial aneurysm. Medical Physics. 52(6). 4742–4756.
3.
Zhang, Yumei, et al.. (2024). Cross-corpus speech emotion recognition using semi-supervised domain adaptation network. Speech Communication. 168. 103185–103185.
4.
Wang, Handong, et al.. (2024). Exploring the power of pure attention mechanisms in blind room parameter estimation. EURASIP Journal on Audio Speech and Music Processing. 2024(1). 3 indexed citations
5.
Zhao, Jiale, et al.. (2024). Perceptually enhanced spectral distance metric for head-related transfer function quality prediction. The Journal of the Acoustical Society of America. 156(6). 4133–4152. 2 indexed citations
6.
Wang, Lizhong, et al.. (2024). Neural Audio Coding with Deep Complex Networks. Journal of Physics Conference Series. 2759(1). 12005–12005.
8.
Jia, Maoshen, et al.. (2024). First-Order Relative Harmonic Coefficient-Based Time-Frequency Points Selection for Multi-Source DOA Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3200–3212.
9.
Li, Lu, et al.. (2024). Three-Dimensional Room Transfer Function Parameterization Based on Multiple Concentric Planar Circular Arrays. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4384–4398.
11.
Zhang, Yu, et al.. (2023). Diffuseness Estimation-Based SSTP Detection for Multiple Sound Source Localization in Reverberant Environments. Circuits Systems and Signal Processing. 42(8). 4713–4739.
12.
Bao, Changchun, et al.. (2023). Study of MVDR Beamforming with Spatially Distributed Source: Theoretical Analysis and Efficient Microphone Array Geometry Optimization Method. Circuits Systems and Signal Processing. 42(8). 4897–4915. 1 indexed citations
13.
Jia, Maoshen, et al.. (2023). Multisource localization based on angle distribution of time–frequency points using an FOA microphone. CAAI Transactions on Intelligence Technology. 8(3). 807–823. 1 indexed citations
14.
Wang, Handong, Maoshen Jia, & Xinfeng Zhang. (2023). Deep encoder/decoder dual-path neural network for speech separation in noisy reverberation environments. EURASIP Journal on Audio Speech and Music Processing. 2023(1). 2 indexed citations
15.
Lü, Li, et al.. (2023). Separation of Multiple Speech Sources in Reverberant Environments Based on Sparse Component Enhancement. Circuits Systems and Signal Processing. 42(10). 6001–6028.
16.
Zhang, Xinfeng, et al.. (2022). A 3D U-Net-Based Approach for Intracranial Aneurysm Detection. 58–64. 1 indexed citations
17.
Jia, Maoshen, et al.. (2021). Two-dimensional detection based LRSS point recognition for multi-source DOA estimation. Applied Acoustics. 186. 108481–108481. 3 indexed citations
18.
Jia, Maoshen, et al.. (2021). Multi-source localization by using offset residual weight. EURASIP Journal on Audio Speech and Music Processing. 2021(1). 3 indexed citations
19.
Bao, Changchun, et al.. (2016). Measurement of the acoustic transfer function using compressed sensing techniques. 1–4. 2 indexed citations
20.
Jia, Maoshen, Changchun Bao, Xin Liu, & Rui Li. (2009). A novel super-wideband embedded speech and audio codec based on ITU-T Recommendation G.729.1. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 809–812. 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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