Ming Sun

1.5k total citations
29 papers, 795 citations indexed

About

Ming Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ming Sun has authored 29 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Ming Sun's work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (6 papers). Ming Sun is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (6 papers). Ming Sun collaborates with scholars based in China, United States and Germany. Ming Sun's co-authors include Jufeng Yang, Dongyu She, Xiaoxiao Sun, Paul L. Rosin, Liang Wang, Ming‐Ming Cheng, Shiv Vitaladevuni, Björn Hoffmeister, Minhua Wu and Sankaran Panchapagesan and has published in prestigious journals such as Frontiers in Plant Science, Chemical Science and IEEE Transactions on Computers.

In The Last Decade

Ming Sun

28 papers receiving 741 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 Sun China 15 505 364 160 94 54 29 795
Sijie Mai China 19 843 1.7× 278 0.8× 190 1.2× 362 3.9× 21 0.4× 31 1.1k
Fernando Díaz-de-María Spain 15 319 0.6× 430 1.2× 449 2.8× 49 0.5× 11 0.2× 92 810
Ranjeet Kumar Rout India 14 113 0.2× 260 0.7× 96 0.6× 115 1.2× 15 0.3× 62 591
Wen-Huang Cheng Taiwan 14 131 0.3× 298 0.8× 62 0.4× 74 0.8× 12 0.2× 51 481
Dzulkifli Mohamad Malaysia 17 249 0.5× 672 1.8× 111 0.7× 42 0.4× 8 0.1× 79 939
Chokri Ben Amar Tunisia 16 132 0.3× 603 1.7× 124 0.8× 87 0.9× 7 0.1× 69 774
Young-Tack Park South Korea 8 210 0.4× 249 0.7× 40 0.3× 92 1.0× 18 0.3× 48 503
Nicolas Boulanger-Lewandowski Canada 10 321 0.6× 377 1.0× 264 1.6× 162 1.7× 4 0.1× 11 801
Songlong Xing China 10 448 0.9× 186 0.5× 112 0.7× 249 2.6× 14 0.3× 12 623
Tianrong Rao Australia 8 183 0.4× 283 0.8× 20 0.1× 106 1.1× 61 1.1× 19 485

Countries citing papers authored by Ming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Sun. A scholar is included among the top collaborators of Ming Sun 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 Sun. Ming Sun 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.
Sun, Ming, et al.. (2024). Enhancing chemistry-intuitive feature learning to improve prediction performance of optical properties. Chemical Science. 15(42). 17533–17546. 5 indexed citations
2.
Sun, Ming, et al.. (2022). Cotton boll localization method based on point annotation and multi-scale fusion. Frontiers in Plant Science. 13. 960592–960592. 8 indexed citations
3.
Tang, Qingming, Chieh-Chi Kao, Qin Zhang, et al.. (2022). Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 321–325. 3 indexed citations
4.
Su, Ya, Youjian Zhao, Ming Sun, et al.. (2021). Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN. IEEE Transactions on Computers. 71(4). 892–905. 30 indexed citations
5.
Li, Jie, et al.. (2020). Combined Effects of Temperature and Salinity on the Growth and Pulsation of Moon Jellyfish (<i>Aurelia coerulea</i>) Ephyrae. American Journal of Life Sciences. 8(5). 144–144. 1 indexed citations
6.
Li, Chuming, Ming Sun, Chen Lin, et al.. (2020). DETR for Pedestrian Detection.. arXiv (Cornell University). 6 indexed citations
7.
Chang, Chun‐Chieh, Chieh-Chi Kao, Ming Sun, & Chao Wang. (2020). Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. 851–855. 3 indexed citations
8.
Mishchenko, Yuriy, et al.. (2019). Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. 706–711. 16 indexed citations
9.
She, Dongyu, Ming Sun, & Jufeng Yang. (2019). Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs. ACM Transactions on Multimedia Computing Communications and Applications. 15(3s). 1–19. 9 indexed citations
10.
Sun, Ming, et al.. (2019). Neural Text Normalization with Subword Units. 25 indexed citations
11.
Yang, Jufeng, Dongyu She, Ming Sun, et al.. (2018). Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. IEEE Transactions on Multimedia. 20(9). 2513–2525. 134 indexed citations
12.
Sun, Ming, et al.. (2018). Compact Generalized Non-local Network. arXiv (Cornell University). 31. 6510–6519. 33 indexed citations
13.
Liu, Chunxi, Jinyi Yang, Ming Sun, et al.. (2017). An empirical evaluation of zero resource acoustic unit discovery. 5305–5309. 9 indexed citations
15.
Sun, Ming, Jufeng Yang, Kai Wang, & Hui Shen. (2016). Discovering affective regions in deep convolutional neural networks for visual sentiment prediction. 1–6. 42 indexed citations
16.
Tucker, George, Minhua Wu, Ming Sun, et al.. (2016). Model Compression Applied to Small-Footprint Keyword Spotting. 50 indexed citations
17.
Chen, Yun-Nung, Ming Sun, Alexander I. Rudnicky, & Anatole Gershman. (2015). Leveraging Behavioral Patterns of Mobile Applications for Personalized Spoken Language Understanding. 83–86. 20 indexed citations
18.
Sun, Ming, et al.. (2015). Model Shrinking for Embedded Keyword Spotting. 369–374. 14 indexed citations
19.
Qin, Long, Ming Sun, & Alexander I. Rudnicky. (2012). System combination for out-of-vocabulary word detection. 4817–4820. 8 indexed citations
20.
Sun, Ming & Jerome R. Bellegarda. (2011). Improved pos tagging for text-to-speech synthesis. 19. 5384–5387. 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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