Xiaodong Li

2.3k total citations · 2 hit papers
88 papers, 1.6k citations indexed

About

Xiaodong Li is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Xiaodong Li has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Signal Processing, 42 papers in Computational Mechanics and 18 papers in Cognitive Neuroscience. Recurrent topics in Xiaodong Li's work include Speech and Audio Processing (59 papers), Advanced Adaptive Filtering Techniques (42 papers) and Hearing Loss and Rehabilitation (18 papers). Xiaodong Li is often cited by papers focused on Speech and Audio Processing (59 papers), Advanced Adaptive Filtering Techniques (42 papers) and Hearing Loss and Rehabilitation (18 papers). Xiaodong Li collaborates with scholars based in China, Germany and United Kingdom. Xiaodong Li's co-authors include Chengshi Zheng, Dongxing Mao, Xin Wang, Andong Li, Renhua Peng, Wenzhe Liu, Cunhang Fan, Woon‐Seng Gan, Qizhi Zhang and Yali Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Xiaodong Li

86 papers receiving 1.6k citations

Hit Papers

Bearing fault diagnosis based on vibro-acoustic data fusi... 2020 2026 2022 2024 2020 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodong Li China 20 757 469 454 367 269 88 1.6k
Mingjiang Wang China 16 324 0.4× 134 0.3× 140 0.3× 351 1.0× 133 0.5× 142 1.1k
Mingsian R. Bai Taiwan 22 674 0.9× 286 0.6× 455 1.0× 67 0.2× 154 0.6× 152 1.7k
Manjeet Kumar India 25 413 0.5× 402 0.9× 268 0.6× 270 0.7× 44 0.2× 101 1.7k
Vahid Abolghasemi United Kingdom 20 321 0.4× 117 0.2× 315 0.7× 167 0.5× 57 0.2× 103 1.6k
B.L. Luk Hong Kong 17 130 0.2× 378 0.8× 283 0.6× 312 0.9× 341 1.3× 55 1.5k
Mahesh Chandra India 19 529 0.7× 66 0.1× 301 0.7× 253 0.7× 223 0.8× 139 1.2k
Jernej Barbič United States 24 117 0.2× 847 1.8× 1.1k 2.4× 106 0.3× 320 1.2× 66 2.3k
Felix Albu Romania 25 1.2k 1.5× 204 0.4× 1.2k 2.7× 201 0.5× 35 0.1× 124 1.9k
Jean Jiang United States 13 444 0.6× 263 0.6× 520 1.1× 88 0.2× 68 0.3× 58 900
Zhe Lin China 13 140 0.2× 76 0.2× 357 0.8× 312 0.9× 292 1.1× 48 1.4k

Countries citing papers authored by Xiaodong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Li. A scholar is included among the top collaborators of Xiaodong Li 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 Xiaodong Li. Xiaodong Li 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.
Li, Xiaodong, et al.. (2025). Numerical Study on Dual-Rotor Phase Synchronization for Tonal Noise Counteraction. SHILAP Revista de lepidopterología. 3.
2.
Li, Xiaodong, et al.. (2024). Deep informed spatio-spectral filtering for multi-channel speech extraction against steering vector uncertainties. Applied Acoustics. 228. 110259–110259. 1 indexed citations
3.
Zhang, Yulong, et al.. (2024). A denoising-aided multi-task learning method for blind estimation of reverberation time. Measurement. 231. 114568–114568. 1 indexed citations
4.
Li, Xiaodong, et al.. (2024). Geometry Calibration for Deformable Linear Microphone Arrays With Bézier Curve Fitting. IEEE Signal Processing Letters. 31. 1620–1624. 1 indexed citations
5.
Li, Xiaoyu, et al.. (2024). Deep Kronecker Product Beamforming for Large-Scale Microphone Arrays. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4537–4553. 2 indexed citations
6.
Zheng, Chengshi, et al.. (2023). Evaluation of deep marginal feedback cancellation for hearing aids using speech and music. Trends in Hearing. 27. 1871505634–1871505634. 1 indexed citations
7.
Zheng, Chengshi, et al.. (2023). Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods. Trends in Hearing. 27. 1871523257–1871523257. 37 indexed citations
8.
Zheng, Chengshi, et al.. (2023). Modeling individual head-related transfer functions from sparse measurements using a convolutional neural network. The Journal of the Acoustical Society of America. 153(1). 248–259. 10 indexed citations
9.
Li, Andong, Guochen Yu, Chengshi Zheng, Wenzhe Liu, & Xiaodong Li. (2023). A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3629–3646. 13 indexed citations
10.
11.
Zheng, Chengshi, et al.. (2022). A deep learning solution to the marginal stability problems of acoustic feedback systems for hearing aids. The Journal of the Acoustical Society of America. 152(6). 3616–3634. 7 indexed citations
12.
Li, Andong, et al.. (2022). Filtering and Refining: A Collaborative-Style Framework for Single-Channel Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2156–2172. 13 indexed citations
13.
Liu, Wenzhe, Andong Li, Chengshi Zheng, & Xiaodong Li. (2022). A separation and interaction framework for causal multi-channel speech enhancement. Digital Signal Processing. 126. 103519–103519. 3 indexed citations
14.
Zheng, Chengshi, et al.. (2021). A temporal-spectral generative adversarial network based end-to-end packet loss concealment for wideband speech transmission. The Journal of the Acoustical Society of America. 150(4). 2577–2588. 19 indexed citations
15.
Li, Andong, Wenzhe Liu, Chengshi Zheng, Cunhang Fan, & Xiaodong Li. (2021). Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 1829–1843. 120 indexed citations
16.
Peng, Renhua, et al.. (2018). Long-range speech acquirement and enhancement with dual-point laser Doppler vibrometers. 1–5. 6 indexed citations
17.
Zheng, Chengshi, Antoine Deleforge, Xiaodong Li, & Walter Kellermann. (2018). Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(5). 951–966. 11 indexed citations
18.
19.
Liu, Bilong, et al.. (2010). Calibration method in measurements of acoustic characteristics of materials in a water filled impedance tube. 35(2). 154–161. 3 indexed citations
20.
Li, Xiaodong. (2009). Comparison of Applications of EVB Phase Vocoder Algorithm and MaxxBass Algorithm in Virtual Bass Enhancement. Audio Engineering. 1 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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