Lifa Sun

890 total citations
14 papers, 557 citations indexed

About

Lifa Sun is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Lifa Sun has authored 14 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Signal Processing and 4 papers in Physiology. Recurrent topics in Lifa Sun's work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (6 papers). Lifa Sun is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (6 papers). Lifa Sun collaborates with scholars based in Hong Kong, United Kingdom and China. Lifa Sun's co-authors include Helen Meng, Shiyin Kang, Kun Li, Hao Wang, Xunying Liu, Xixin Wu, Songxiang Liu, Disong Wang, Hao Wang and Kun Li and has published in prestigious journals such as Microelectronics Journal and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Lifa Sun

14 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lifa Sun Hong Kong 9 509 454 78 66 47 14 557
Yi-Chiao Wu Japan 12 460 0.9× 432 1.0× 39 0.5× 67 1.0× 28 0.6× 35 496
Wen-Chin Huang Japan 13 426 0.8× 355 0.8× 65 0.8× 33 0.5× 51 1.1× 38 508
Jani Nurminen Finland 11 496 1.0× 462 1.0× 65 0.8× 43 0.7× 95 2.0× 38 533
Toru Nakashika Japan 10 344 0.7× 337 0.7× 46 0.6× 71 1.1× 20 0.4× 45 413
Mike Plumpe United States 8 470 0.9× 375 0.8× 51 0.7× 48 0.7× 77 1.6× 10 523
Tanvina Patel India 9 318 0.6× 301 0.7× 39 0.5× 38 0.6× 22 0.5× 27 349
Xiaohai Tian Singapore 13 469 0.9× 426 0.9× 37 0.5× 47 0.7× 32 0.7× 41 515
Ravichander Vipperla United Kingdom 11 272 0.5× 224 0.5× 38 0.5× 41 0.6× 37 0.8× 23 348
Songxiang Liu Hong Kong 14 431 0.8× 349 0.8× 46 0.6× 71 1.1× 107 2.3× 31 525

Countries citing papers authored by Lifa Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lifa Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifa Sun

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

All Works

14 of 14 papers shown
1.
Jin, Liyu, Maoxiang Yi, Yuan Xiao, et al.. (2023). A dynamically reconfigurable entropy source circuit for high-throughput true random number generator. Microelectronics Journal. 133. 105690–105690. 10 indexed citations
2.
Wang, Disong, Songxiang Liu, Xixin Wu, et al.. (2022). Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6677–6681. 3 indexed citations
3.
Wang, Disong, Jianwei Yu, Xixin Wu, et al.. (2021). Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization. 1–5. 24 indexed citations
4.
Wang, Disong, Songxiang Liu, Lifa Sun, et al.. (2021). Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion. 4813–4817. 5 indexed citations
5.
Wang, Disong, Jianwei Yu, Xixin Wu, et al.. (2020). End-To-End Voice Conversion Via Cross-Modal Knowledge Distillation for Dysarthric Speech Reconstruction. 7744–7748. 22 indexed citations
6.
Liu, Songxiang, Disong Wang, Yuewen Cao, et al.. (2020). End-To-End Accent Conversion Without Using Native Utterances. 6289–6293. 20 indexed citations
8.
Liu, Songxiang, Lifa Sun, Xixin Wu, Xunying Liu, & Helen Meng. (2018). The HCCL-CUHK System for the Voice Conversion Challenge 2018. 248–254. 3 indexed citations
9.
Liu, Songxiang, Jinghua Zhong, Lifa Sun, et al.. (2018). Voice Conversion Across Arbitrary Speakers Based on a Single Target-Speaker Utterance. 496–500. 35 indexed citations
10.
Wu, Xixin, Lifa Sun, Shiyin Kang, et al.. (2018). Feature Based Adaptation for Speaking Style Synthesis. 15. 5304–5308. 7 indexed citations
11.
12.
Sun, Lifa, Hao Wang, Shiyin Kang, Kun Li, & Helen Meng. (2016). Personalized, Cross-Lingual TTS Using Phonetic Posteriorgrams. 322–326. 40 indexed citations
13.
Sun, Lifa, Kun Li, Hao Wang, Shiyin Kang, & Helen Meng. (2016). Phonetic posteriorgrams for many-to-one voice conversion without parallel data training. 1–6. 203 indexed citations
14.
Sun, Lifa, Shiyin Kang, Kun Li, & Helen Meng. (2015). Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks. 4869–4873. 173 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