Ming Tu

983 total citations
35 papers, 377 citations indexed

About

Ming Tu is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ming Tu has authored 35 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 16 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Ming Tu's work include Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (9 papers). Ming Tu is often cited by papers focused on Speech and Audio Processing (16 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (9 papers). Ming Tu collaborates with scholars based in United States, China and Sweden. Ming Tu's co-authors include Visar Berisha, Julie Liss, Xianxian Zhang, Xiaodong He, Bowen Zhou, Guangtao Wang, Jing Huang, Kevin Huang, Haitao Chen and Liaobin Chen and has published in prestigious journals such as International Journal of Molecular Sciences, The Journal of the Acoustical Society of America and Neurocomputing.

In The Last Decade

Ming Tu

34 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Tu United States 10 238 145 78 66 44 35 377
Georg Stemmer Germany 13 291 1.2× 210 1.4× 80 1.0× 71 1.1× 41 0.9× 25 405
Krzysztof Marasek Poland 11 250 1.1× 113 0.8× 50 0.6× 30 0.5× 30 0.7× 36 356
Mehmet Bilal Er Türkiye 9 94 0.4× 149 1.0× 86 1.1× 43 0.7× 38 0.9× 27 377
Miloš Cerňak Switzerland 14 365 1.5× 282 1.9× 125 1.6× 85 1.3× 63 1.4× 61 487
Sorin Dusan United States 10 236 1.0× 231 1.6× 76 1.0× 17 0.3× 44 1.0× 24 321
Jangwon Kim United States 13 320 1.3× 250 1.7× 245 3.1× 161 2.4× 33 0.8× 48 591
Harald Höge Germany 11 362 1.5× 280 1.9× 51 0.7× 14 0.2× 49 1.1× 52 428
S. Pravin Kumar India 10 113 0.5× 141 1.0× 31 0.4× 35 0.5× 24 0.5× 39 382
Hannah Muckenhirn Switzerland 8 405 1.7× 416 2.9× 26 0.3× 19 0.3× 36 0.8× 11 487
Kushal Lakhotia Israel 10 830 3.5× 456 3.1× 93 1.2× 30 0.5× 94 2.1× 11 950

Countries citing papers authored by Ming Tu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tu. A scholar is included among the top collaborators of Ming Tu 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 Ming Tu. Ming Tu 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.
Yang, Jian, Qianqian Shang, Jian Qiu, et al.. (2025). Archetype Mesoporous UiO-66(Zr) Enabled by the Salt–Oil Synergetic Mechanism. JACS Au. 5(7). 3299–3310. 1 indexed citations
2.
3.
Chen, Haitao, Ming Tu, Siyi Liu, Yinxian Wen, & Liaobin Chen. (2023). Dendrobine Alleviates Cellular Senescence and Osteoarthritis via the ROS/NF-κB Axis. International Journal of Molecular Sciences. 24(3). 2365–2365. 36 indexed citations
4.
5.
Zou, Liangliang, et al.. (2020). Geometrical design of variable ratio tooth profile based on Boolean subtraction operation and a novel modification method. International journal of agricultural and biological engineering. 13(5). 125–133. 2 indexed citations
6.
7.
Tu, Ming, et al.. (2020). Speaker-Invariant Affective Representation Learning via Adversarial Training. 7144–7148. 34 indexed citations
8.
Tu, Ming, et al.. (2019). Articulation constrained learning with application to speech emotion recognition. EURASIP Journal on Audio Speech and Music Processing. 2019(1). 9 indexed citations
9.
Zeng, Rong, Ming Tu, & Liwei Wang. (2018). Hysteretic Model of a Vehicle Torsional Damper. Journal of Engineering Science and Technology Review. 11(4). 91–100. 1 indexed citations
10.
Xu, Li, et al.. (2017). Single-channel speech separation with non-negative matrix factorization and factorial conditional random fields. Journal of Tsinghua University(Science and Technology). 57(1). 84–88. 2 indexed citations
11.
Tu, Ming & Xianxian Zhang. (2017). Speech enhancement based on Deep Neural Networks with skip connections. 5565–5569. 34 indexed citations
12.
Tu, Ming, Visar Berisha, & Julie Liss. (2017). Objective assessment of pathological speech using distribution regression. 50. 5050–5054. 3 indexed citations
13.
Tu, Ming, Visar Berisha, Shimeng Yu, et al.. (2017). Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing. 267. 141–151. 5 indexed citations
14.
15.
Tu, Ming, et al.. (2016). Ranking the parameters of deep neural networks using the fisher information. 2647–2651. 10 indexed citations
16.
Tu, Ming, et al.. (2016). The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance. The Journal of the Acoustical Society of America. 140(5). EL416–EL422. 27 indexed citations
17.
Berisha, Visar, et al.. (2015). Convex Weighting Criteria for Speaking Rate Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(9). 1421–1430. 16 indexed citations
18.
Tu, Ming, et al.. (2014). Towards improving statistical model based voice activity detection. 1549–1552. 2 indexed citations
19.
Tu, Ming, et al.. (2013). NMF based speech and music separation in monaural speech recordings with sparseness and temporal continuity constraints. Advances in intelligent systems research. 2 indexed citations
20.
Tu, Ming. (2010). An Efficient Incremental Updating Algorithm for Mining Association Rules. Microelectronics & Computer. 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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