Mingjiang Wang

1.6k total citations
142 papers, 1.1k citations indexed

About

Mingjiang Wang is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Mingjiang Wang has authored 142 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Signal Processing, 39 papers in Artificial Intelligence and 34 papers in Computational Mechanics. Recurrent topics in Mingjiang Wang's work include Speech and Audio Processing (45 papers), Advanced Adaptive Filtering Techniques (30 papers) and Speech Recognition and Synthesis (25 papers). Mingjiang Wang is often cited by papers focused on Speech and Audio Processing (45 papers), Advanced Adaptive Filtering Techniques (30 papers) and Speech Recognition and Synthesis (25 papers). Mingjiang Wang collaborates with scholars based in China, Pakistan and Hong Kong. Mingjiang Wang's co-authors include Qiquan Zhang, Wencheng Guo, Jiandong Yang, Yun Lu, Xu Lai, Aaron Nicolson, Kuldip K. Paliwal, C.P. Wang, Yufei Han and Chengxi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and IEEE Access.

In The Last Decade

Mingjiang Wang

122 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjiang Wang China 16 351 324 276 171 140 142 1.1k
Xiaoping Lai China 21 544 1.5× 517 1.6× 231 0.8× 254 1.5× 361 2.6× 114 1.4k
Ergun Erçelebi Türkiye 16 251 0.7× 311 1.0× 237 0.9× 410 2.4× 39 0.3× 69 1.4k
Xiaodong Li China 20 367 1.0× 757 2.3× 144 0.5× 220 1.3× 454 3.2× 88 1.6k
Le Yang China 24 643 1.8× 434 1.3× 1.1k 4.1× 90 0.5× 189 1.4× 142 1.9k
Vahid Abolghasemi United Kingdom 20 167 0.5× 321 1.0× 130 0.5× 281 1.6× 315 2.3× 103 1.6k
Hiroshi Tsujino Japan 23 318 0.9× 763 2.4× 196 0.7× 203 1.2× 249 1.8× 96 1.4k
Javier Macías-Guarasa Spain 18 456 1.3× 394 1.2× 665 2.4× 36 0.2× 42 0.3× 86 1.5k
J.G. Harris United States 20 164 0.5× 116 0.4× 333 1.2× 252 1.5× 80 0.6× 70 1.1k
Ahmad Ayatollahi Iran 18 296 0.8× 181 0.6× 249 0.9× 237 1.4× 69 0.5× 97 1.2k
Gayadhar Pradhan India 16 439 1.3× 505 1.6× 143 0.5× 99 0.6× 49 0.3× 75 942

Countries citing papers authored by Mingjiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjiang Wang. A scholar is included among the top collaborators of Mingjiang 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 Mingjiang Wang. Mingjiang 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.
Chen, Moran, Qiquan Zhang, Mingjiang Wang, et al.. (2025). Selective State Space Model for Monaural Speech Enhancement. IEEE Transactions on Consumer Electronics. 71(2). 5414–5424. 3 indexed citations
2.
Cao, Yunhe, et al.. (2025). FSTF-AN: Fused Sparse Temporal-Frequency Attentive Network for Multi-Channel Speech Enhancement. IEEE Signal Processing Letters. 32. 2124–2128.
3.
Zeng, Xiao, et al.. (2024). A time-frequency fusion model for multi-channel speech enhancement. EURASIP Journal on Audio Speech and Music Processing. 2024(1).
4.
Wang, Mingjiang, et al.. (2024). Af-CAN: Multimodal Emotion Recognition Method Based on Situational Attention Mechanism. IEEE Access. 13. 44858–44871.
5.
Wang, Mingjiang, et al.. (2024). SVQ-MAE: an efficient speech pre-training framework with constrained computational resources. EURASIP Journal on Audio Speech and Music Processing. 2024(1).
6.
Chen, Moran, et al.. (2023). Neural-Free Attention for Monaural Speech Enhancement Toward Voice User Interface for Consumer Electronics. IEEE Transactions on Consumer Electronics. 69(4). 765–774. 10 indexed citations
7.
8.
Sun, Chengjie, Zhen Xu, Prayag Tiwari, et al.. (2022). Toward Explainable Dialogue System Using Two-stage Response Generation. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(3). 1–18. 3 indexed citations
9.
Guan, Mingxiang, et al.. (2022). High-Speed VLSI Implementation of an Improved Parallel Delayed LMS Algorithm. Mobile Networks and Applications. 27(4). 1593–1603. 2 indexed citations
10.
Wang, Mingjiang, et al.. (2022). Text-independent Speaker Recognition Based on X-vector. 121–125. 1 indexed citations
11.
Wang, Mingjiang, et al.. (2021). Low-Latency Hardware Implementation of High-Precision Hyperbolic Functions Sinhx and Coshx Based on Improved CORDIC Algorithm. Electronics. 10(20). 2533–2533. 10 indexed citations
12.
Zhang, Qiquan, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, & C.P. Wang. (2020). DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1404–1415. 104 indexed citations
13.
Lu, Yun, Mingjiang Wang, Wanqing Wu, et al.. (2020). Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals. Complexity. 2020. 1–17. 8 indexed citations
14.
Wang, Mingjiang, et al.. (2020). SmallMitosis: Small Size Mitotic Cells Detection in Breast Histopathology Images. IEEE Access. 9. 905–922. 23 indexed citations
15.
Wang, Mingjiang, et al.. (2019). Cancer Detection in Breast Histopathology with Convolution Neural Network Based Approach. 1–5. 6 indexed citations
16.
Han, Yufei, Mingjiang Wang, & Yun Lu. (2018). Variable Tap-Length Algorithm with Mixed Parameter. Applied Sciences. 8(6). 939–939. 1 indexed citations
17.
Han, Yufei, Mingjiang Wang, & Ming Liu. (2017). An improved variable tap-length algorithm with adaptive parameters. Digital Signal Processing. 74. 111–118. 6 indexed citations
18.
Hu, Yushen, Ziyu Huang, Yingchun Wu, et al.. (2017). Event-driven wireless temperature sensor networks powered by air-flow based nanogenerator. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 410–413. 5 indexed citations
19.
Wang, Mingjiang, et al.. (2014). A Pitch Smoothing Method for Mandarin Tone Recognition. 3 indexed citations
20.
Wang, Mingjiang. (2009). A Chinese word segmentation system design based on forward-backward maximum matching algorithm. Information technology newsletter. 3 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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