Jitong Chen

3.6k total citations · 1 hit paper
21 papers, 1.9k citations indexed

About

Jitong Chen is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Jitong Chen has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 8 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Jitong Chen's work include Speech and Audio Processing (16 papers), Music and Audio Processing (14 papers) and Speech Recognition and Synthesis (8 papers). Jitong Chen is often cited by papers focused on Speech and Audio Processing (16 papers), Music and Audio Processing (14 papers) and Speech Recognition and Synthesis (8 papers). Jitong Chen collaborates with scholars based in United States, China and Egypt. Jitong Chen's co-authors include DeLiang Wang, Ke Tan, Yuxuan Wang, Eric W. Healy, Sarah E. Yoho, Yuxuan Wang, Yuxuan Wang, Yuxuan Wang, Wei Ping and Sercan Ö. Arık and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Chemical Engineering Science.

In The Last Decade

Jitong Chen

20 papers receiving 1.8k citations

Hit Papers

Supervised Speech Separation Based on Deep Learning: An O... 2018 2026 2020 2023 2018 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Supervised Speech Separation Based on Deep Learning: An Overview
    2018 984 citations DeLiang Wang, Jitong Chen IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jitong Chen United States 14 1.7k 924 649 506 137 21 1.9k
Arun Narayanan United States 19 2.1k 1.2× 1.6k 1.7× 640 1.0× 361 0.7× 98 0.7× 69 2.4k
Xugang Lu Japan 21 1.7k 1.0× 1.2k 1.3× 519 0.8× 397 0.8× 198 1.4× 137 2.1k
Chengshi Zheng China 18 1.1k 0.7× 536 0.6× 592 0.9× 314 0.6× 113 0.8× 133 1.3k
Yi Luo China 16 2.4k 1.4× 1.6k 1.8× 538 0.8× 323 0.6× 156 1.1× 70 2.7k
Yuxuan Wang China 16 1.1k 0.6× 946 1.0× 350 0.5× 323 0.6× 145 1.1× 53 1.6k
Timo Gerkmann Germany 27 2.5k 1.4× 827 0.9× 1.5k 2.4× 680 1.3× 192 1.4× 146 2.7k
Zhong-Qiu Wang United States 26 1.9k 1.1× 1.2k 1.3× 596 0.9× 270 0.5× 85 0.6× 68 2.1k
Marc Delcroix Japan 33 3.5k 2.0× 2.6k 2.8× 1.0k 1.6× 376 0.7× 170 1.2× 206 3.9k
M. P. Hollier United Kingdom 11 2.0k 1.2× 900 1.0× 917 1.4× 461 0.9× 390 2.8× 25 2.3k

Countries citing papers authored by Jitong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jitong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jitong Chen. A scholar is included among the top collaborators of Jitong Chen 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 Jitong Chen. Jitong Chen 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.
Zhu, Yong, Zhenpeng Huang, Jitong Chen, et al.. (2025). Re-entrainment mechanism of submicron particles during electrostatic capture process. Chemical Engineering Science. 308. 121417–121417.
2.
Parker, Julian D., et al.. (2024). STEMGEN: A Music Generation Model That Listens. 1116–1120. 8 indexed citations
3.
Kong, Qiuqiang, Bochen Li, Jitong Chen, & Yuxuan Wang. (2022). GiantMIDI-Piano: A Large-Scale MIDI Dataset for Classical Piano Music. SHILAP Revista de lepidopterología. 5(1). 87–98. 20 indexed citations
4.
Chen, Jitong, et al.. (2022). Differentiable Wavetable Synthesis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4598–4602. 10 indexed citations
5.
Wang, Ju-Chiang, et al.. (2021). Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task Learning. Queen Mary Research Online (Queen Mary University of London). 566–570. 6 indexed citations
6.
7.
Arık, Sercan Ö., Jitong Chen, Kainan Peng, Wei Ping, & Yanqi Zhou. (2018). Neural Voice Cloning with a Few Samples. Neural Information Processing Systems. 31. 10019–10029. 53 indexed citations
8.
Tan, Ke, Jitong Chen, & DeLiang Wang. (2018). Gated Residual Networks With Dilated Convolutions for Monaural Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(1). 189–198. 143 indexed citations
9.
Wang, DeLiang & Jitong Chen. (2018). Supervised Speech Separation Based on Deep Learning: An Overview. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(10). 1702–1726. 984 indexed citations breakdown →
10.
Tan, Ke, Jitong Chen, & DeLiang Wang. (2018). Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation. 21–25. 38 indexed citations
11.
Chen, Jitong & DeLiang Wang. (2017). Long short-term memory for speaker generalization in supervised speech separation. The Journal of the Acoustical Society of America. 141(6). 4705–4714. 177 indexed citations
12.
Chen, Jitong, Yuxuan Wang, Sarah E. Yoho, DeLiang Wang, & Eric W. Healy. (2016). Large-scale training to increase speech intelligibility for hearing-impaired listeners in novel noises. The Journal of the Acoustical Society of America. 139(5). 2604–2612. 141 indexed citations
13.
Chen, Jitong & DeLiang Wang. (2016). Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation. 3314–3318. 28 indexed citations
14.
Chen, Jitong, Yuxuan Wang, & DeLiang Wang. (2016). Noise perturbation for supervised speech separation. Speech Communication. 78. 1–10. 22 indexed citations
15.
Healy, Eric W., Sarah E. Yoho, Jitong Chen, Yuxuan Wang, & DeLiang Wang. (2015). An algorithm to increase speech intelligibility for hearing-impaired listeners in novel segments of the same noise type. The Journal of the Acoustical Society of America. 138(3). 1660–1669. 72 indexed citations
16.
Wang, Yuxuan, Jitong Chen, & DeLiang Wang. (2015). Deep Neural Network Based Supervised Speech Segregation Generalizes to Novel Noises through Large-scale Training. 12 indexed citations
17.
Chen, Jitong, Yuxuan Wang, & DeLiang Wang. (2014). A feature study for classification-based speech separation at very low signal-to-noise ratio. 7039–7043. 20 indexed citations
18.
Chen, Jitong, Yuxuan Wang, & DeLiang Wang. (2014). A Feature Study for Classification-Based Speech Separation at Low Signal-to-Noise Ratios. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(12). 1993–2002. 127 indexed citations
19.
20.
Chen, Jitong, et al.. (2011). An integrated system for astronomical telescope based on stellarium. 36. 431–434. 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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