Cheng-I Lai

1.6k citations
14 papers · 875 indexed · 2 hit papers · h-index 10
Topics
Speech Recognition and Synthesis (10 papers)Natural Language Processing Techniques (9 papers)Topic Modeling (6 papers)
Journals
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Proceedings of the AAAI Conference on Artificial IntelligenceICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Cheng-I Lai

13 papers receiving 830 citations

Hit Papers

SUPERB: Speech Processing Universal PERformance Benchmark202120262022202420212022100200300400

Peers

Cheng-I Lai
Comparison fields: 5 of 67
  • Artificial Intelligence 718
  • Signal Processing 567
  • Computer Vision and Pattern Recognition 104
  • Experimental and Cognitive Psychology 80
  • Physiology 29
Replace Xuankai Chang with:
Xuankai Chang United States
Yoshihiko Nankaku Japan
Jiatong Shi United States
Brecht Desplanques Belgium
Chengzhu Yu United States
Jenthe Thienpondt Belgium
Shinnosuke Takamichi Japan
Sachin Kajarekar United States
Bruce Denby France
Cheng-I Lai relative to Xuankai Chang United States Xuankai Chang's profile →
Citations per field
00.5×1.5×
Xuankai Chang · 1×
Citations per year

Countries citing papers authored by Cheng-I Lai

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-I Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-I Lai. 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 Cheng-I Lai. The network helps show where Cheng-I Lai may publish in the future.

Co-authorship network of co-authors of Cheng-I Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-I Lai. A scholar is included among the top collaborators of Cheng-I Lai 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 Cheng-I Lai. Cheng-I Lai 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
#WorkIndexed citations
1 1
2 0
3 24
4 3
5 9
6
SSAST: Self-Supervised Audio Spectrogram Transformerbreakdown →
146
7
SUPERB: Speech Processing Universal PERformance Benchmarkbreakdown →
409
8 35
9 98
10 8
11 14
12 102
13
Controlling the Reading Level of Machine Translation Output
15
14 11

About Cheng-I Lai

Cheng-I Lai is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 875 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (6 papers). The work is most often cited by research in Signal Processing (567 citations), Artificial Intelligence (718 citations) and Experimental and Cognitive Psychology (80 citations). Cheng-I Lai has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include James Glass, Nanxin Chen, Yuan Gong, Yu-An Chung, Hung-yi Lee, Yung-Sung Chuang, Jesús Villalba, Najim Dehak, Shang-Wen Li and Shinji Watanabe. Their work appears in journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the AAAI Conference on Artificial Intelligence and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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2026