Ying-Hui Lai

1.8k citations
62 papers · 1.2k indexed · h-index 17
Topics
Speech and Audio Processing (41 papers)Hearing Loss and Rehabilitation (28 papers)Speech Recognition and Synthesis (17 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of the Acoustical Society of America
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Ying-Hui Lai

60 papers receiving 1.1k citations

Peers

Ying-Hui Lai
Comparison fields: 5 of 107
  • Signal Processing 650
  • Artificial Intelligence 357
  • Cognitive Neuroscience 328
  • Physiology 205
  • Pulmonary and Respiratory Medicine 164
Replace Bożena Kostek with:
Bożena Kostek Poland
Masashi Unoki Japan
Izhak Shafran United States
Issa Panahi United States
Chengshi Zheng China
Cees Taal Netherlands
Syu‐Siang Wang Taiwan
Prem C. Pandey India
Futoshi Asano Japan
Matías Zañartu Chile
Ying-Hui Lai relative to Bożena Kostek Poland Bożena Kostek's profile →
Citations per field
00.5×10×13.7×
Bożena Kostek · 1×
Citations per year

Countries citing papers authored by Ying-Hui Lai

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Hui Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Hui Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Hui Lai. A scholar is included among the top collaborators of Ying-Hui 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 Ying-Hui Lai. Ying-Hui Lai 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
#WorkIndexed citations
1 1
2 9
3 13
4 7
5 2
6 16
7 6
8 10
9 7
10 17
11 16
12 17
13 2
14 35
15 1
16 188
17 7
18 31
19 10
20 14

About Ying-Hui Lai

Ying-Hui Lai is a scholar working on Signal Processing, Cognitive Neuroscience and Sensory Systems, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (41 papers), Hearing Loss and Rehabilitation (28 papers) and Speech Recognition and Synthesis (17 papers). The work is most often cited by research in Signal Processing (650 citations), Cognitive Neuroscience (328 citations) and Speech and Hearing (91 citations). Ying-Hui Lai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu Tsao, Syu‐Siang Wang, Hsiu-Wen Chang, Hsin‐Min Wang, Shih‐Hau Fang, Jen-Cheng Hou, Chi‐Te Wang, Fei Chen, Xugang Lu and Yu‐Hsuan Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.

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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