Ling-Hui Chen

761 total citations
29 papers, 460 citations indexed

About

Ling-Hui Chen is a scholar working on Artificial Intelligence, Signal Processing and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ling-Hui Chen has authored 29 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Signal Processing and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ling-Hui Chen's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (10 papers). Ling-Hui Chen is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (10 papers). Ling-Hui Chen collaborates with scholars based in China, United Kingdom and South Korea. Ling-Hui Chen's co-authors include Zhen-Hua Ling, Li-Rong Dai, Lijuan Liu, Junichi Yamagishi, Mirjam Wester, Fernando Villavicencio, Daisuke Saito, Tomoki Toda, Zhizheng Wu and Yan Song and has published in prestigious journals such as PLoS ONE, Nature Methods and National Science Review.

In The Last Decade

Ling-Hui Chen

26 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling-Hui Chen China	10	393	383	59	32	24	29	460
Qiantong Xu Israel	7	643 1.6×	311 0.8×	80 1.4×	46 1.4×	18 0.8×	12	730
Vitaly Lavrukhin United States	6	312 0.8×	214 0.6×	44 0.7×	15 0.5×	7 0.3×	20	371
Po-Han Chi Taiwan	2	439 1.1×	293 0.8×	42 0.7×	69 2.2×	11 0.5×	3	527
Andy T. Liu Taiwan	7	593 1.5×	392 1.0×	51 0.9×	85 2.7×	12 0.5×	12	699
Joel Pinto Switzerland	11	306 0.8×	240 0.6×	23 0.4×	27 0.8×	5 0.2×	24	344
Ravichander Vipperla United Kingdom	11	272 0.7×	224 0.6×	41 0.7×	37 1.2×	15 0.6×	23	348
Jan Trmal United States	10	658 1.7×	411 1.1×	53 0.9×	57 1.8×	9 0.4×	23	716
Djamel Mostefa France	9	343 0.9×	126 0.3×	41 0.7×	55 1.7×	7 0.3×	31	396
Sorin Dusan United States	10	236 0.6×	231 0.6×	44 0.7×	76 2.4×	25 1.0×	24	321
Tanel Alumäe Estonia	11	427 1.1×	118 0.3×	46 0.8×	19 0.6×	6 0.3×	49	484

Countries citing papers authored by Ling-Hui Chen

Since Specialization

Citations

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

Fields of papers citing papers by Ling-Hui Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling-Hui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Hui Chen. A scholar is included among the top collaborators of Ling-Hui 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 Ling-Hui Chen. Ling-Hui Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Ling-Hui, et al.. (2025). Designing flexible protein structures and sampling protein conformations with a unified model using vector quantization and diffusion. National Science Review. 12(11). nwaf290–nwaf290.

Wang, Sheng, Ling-Hui Chen, Xinyu Wang, et al.. (2024). De novo protein design with a denoising diffusion network independent of pretrained structure prediction models. Nature Methods. 21(11). 2107–2116. 17 indexed citations

Wang, Yidong, Qingqing Long, Lu Wang, et al.. (2024). How Do Large Language Models Understand Genes and Cells. ACM Transactions on Intelligent Systems and Technology. 16(6). 1–16. 1 indexed citations

Ling, Zhen-Hua, et al.. (2023). Pronunciation Dictionary-Free Multilingual Speech Synthesis Using Learned Phonetic Representations. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3706–3716. 3 indexed citations

Chen, Ling-Hui, et al.. (2022). Pronunciation Dictionary-Free Multilingual Speech Synthesis by Combining Unsupervised and Supervised Phonetic Representations. Interspeech 2022. 4282–4286. 2 indexed citations

Tian, Qiao, Chao Liu, Heng Lu, et al.. (2021). FeatherTTS: Robust and Efficient attention based Neural TTS. 200–204. 2 indexed citations

Chen, Ling-Hui, et al.. (2020). The Tencent speech synthesis system for Blizzard Challenge 2020. 28–32. 1 indexed citations

Toda, Tomoki, Ling-Hui Chen, Daisuke Saito, et al.. (2016). The Voice Conversion Challenge 2016. Edinburgh Research Explorer (University of Edinburgh). 1632–1636. 106 indexed citations

Chen, Ling-Hui, et al.. (2016). The USTC System for Blizzard Challenge 2016. 84–89. 3 indexed citations

10.

Gao, Hongmin, Ling-Hui Chen, Chenming Li, Hui Zhou, & Shiming Zhang. (2016). A Hyper-Spectral Unmixing Method Based on Improved Non-Negative Matrix Factorization. Journal of Computational and Theoretical Nanoscience. 13(11). 8689–8694.

11.

Chen, Ling-Hui, et al.. (2015). The USTC System for Blizzard Challenge 2015. 33–38. 2 indexed citations

12.

Liu, Lijuan, Ling-Hui Chen, Zhen-Hua Ling, & Li-Rong Dai. (2015). Spectral conversion using deep neural networks trained with multi-source speakers. 18. 4849–4853. 5 indexed citations

13.

Chen, Ling-Hui, et al.. (2014). The USTC System for Blizzard Challenge 2014. 39–44. 1 indexed citations

14.

Chen, Ling-Hui, Zhen-Hua Ling, & Li-Rong Dai. (2014). Voice conversion using generative trained deep neural networks with multiple frame spectral envelopes. 2313–2317. 10 indexed citations

15.

Chen, Ling-Hui, Tuomo Raitio, Cassia Valentini-Botinhao, Junichi Yamagishi, & Zhen-Hua Ling. (2014). DNN-based stochastic postfilter for HMM-based speech synthesis. Edinburgh Research Explorer (University of Edinburgh). 1954–1958. 21 indexed citations

16.

Chen, Ling-Hui, Zhen-Hua Ling, Yuan Jiang, et al.. (2013). The USTC System for Blizzard Challenge 2013. 90–95. 2 indexed citations

17.

Wang, Xiaodong, et al.. (2012). Preattentive Extraction of Abstract Auditory Rules in Speech Sound Stream: A Mismatch Negativity Study Using Lexical Tones. PLoS ONE. 7(1). e30027–e30027. 19 indexed citations

18.

Chen, Ling-Hui, Yoshihiko Nankaku, Heiga Zen, et al.. (2011). Estimation of window coefficients for dynamic feature extraction for HMM-based speech synthesis. 1801–1804. 1 indexed citations

19.

Chen, Ling-Hui, Zhen-Hua Ling, & Li-Rong Dai. (2011). Non-parallel training for voice conversion based on FT-GMM. 5116–5119. 1 indexed citations

20.

Lu, Heng, Zhen-Hua Ling, Ming Lei, et al.. (2009). The USTC System for Blizzard Challenge 2009. 101–106. 7 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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