Yuchen Fan

1.0k total citations · 1 hit paper
15 papers, 691 citations indexed

About

Yuchen Fan is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Yuchen Fan has authored 15 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Signal Processing and 1 paper in Information Systems. Recurrent topics in Yuchen Fan's work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (5 papers). Yuchen Fan is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (5 papers). Yuchen Fan collaborates with scholars based in China, United States and United Kingdom. Yuchen Fan's co-authors include Frank K. Soong, Yao Qian, Fenglong Xie, Lei He, Kai Yu, Yanmin Qian, Tianxing He, Tian Tan, Haifeng Li and Tianfan Fu and has published in prestigious journals such as IEEE Access and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yuchen Fan

13 papers receiving 591 citations

Hit Papers

TTS synthesis with bidirectional LSTM based recurrent neu... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchen Fan China 9 574 430 106 50 30 15 691
Zoltán Tüske Germany 18 740 1.3× 524 1.2× 83 0.8× 26 0.5× 22 0.7× 47 871
Yajie Miao United States 14 605 1.1× 473 1.1× 109 1.0× 20 0.4× 20 0.7× 26 784
Fenglong Xie China 7 368 0.6× 277 0.6× 48 0.5× 31 0.6× 11 0.4× 20 433
Pavel Golik Germany 11 399 0.7× 296 0.7× 81 0.8× 13 0.3× 25 0.8× 19 545
Jiangyan Yi China 19 784 1.4× 657 1.5× 223 2.1× 118 2.4× 21 0.7× 98 1.1k
Babak Nasersharif Iran 11 239 0.4× 196 0.5× 86 0.8× 25 0.5× 10 0.3× 64 374
Samuele Cornell Italy 11 485 0.8× 588 1.4× 71 0.7× 11 0.2× 33 1.1× 43 730
Zhengqi Wen China 18 706 1.2× 600 1.4× 180 1.7× 174 3.5× 16 0.5× 102 983
Chunlei Zhang United States 15 595 1.0× 573 1.3× 52 0.5× 24 0.5× 17 0.6× 39 718

Countries citing papers authored by Yuchen Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yuchen Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchen Fan

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

All Works

15 of 15 papers shown
1.
Fan, Yuchen, et al.. (2025). Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 23859–23867.
4.
Fan, Yuchen, et al.. (2019). Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment. IEEE Access. 7. 172065–172073. 5 indexed citations
5.
Fan, Yuchen, Yao Qian, Frank K. Soong, & Lei He. (2016). Speaker and language factorization in DNN-based TTS synthesis. 5540–5544. 22 indexed citations
6.
Fan, Yuchen, Yao Qian, Frank K. Soong, & Lei He. (2016). Unsupervised speaker adaptation for DNN-based TTS synthesis. 5135–5139. 12 indexed citations
7.
Fan, Yuchen, Yao Qian, Frank K. Soong, & Lei He. (2015). Multi-speaker modeling and speaker adaptation for DNN-based TTS synthesis. 4475–4479. 86 indexed citations
8.
Fan, Yuchen, Yao Qian, Frank K. Soong, & Lei He. (2015). Sequence generation error (SGE) minimization based deep neural networks training for text-to-speech synthesis. 864–868. 10 indexed citations
9.
He, Tianxing, Yuchen Fan, Yanmin Qian, Tian Tan, & Kai Yu. (2014). Reshaping deep neural network for fast decoding by node-pruning. 245–249. 76 indexed citations
10.
Fan, Yuchen, Yao Qian, Fenglong Xie, & Frank K. Soong. (2014). TTS synthesis with bidirectional LSTM based recurrent neural networks. 1964–1968. 286 indexed citations breakdown →
11.
Deng, Wei, Yanmin Qian, Yuchen Fan, Tianfan Fu, & Kai Yu. (2014). Stochastic data sweeping for fast DNN training. 1. 240–244. 3 indexed citations
12.
Qian, Yao, et al.. (2014). On the training aspects of Deep Neural Network (DNN) for parametric TTS synthesis. 3829–3833. 147 indexed citations
13.
Liu, Yuan, Tianfan Fu, Yuchen Fan, Yanmin Qian, & Kai Yu. (2014). Speaker verification with deep features. 747–753. 8 indexed citations
14.
Xie, Fenglong, Yao Qian, Yuchen Fan, Frank K. Soong, & Haifeng Li. (2014). Sequence error (SE) minimization training of neural network for voice conversion. 2283–2287. 31 indexed citations
15.
Xu, Hainan, Yuchen Fan, & Kai Yu. (2012). Development of the 2012 SJTU HVR system. 539–544. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026