Guan-Ting Lin

1.1k citations
34 papers · 750 · 1 hit paper · h-index 10

Impact in

Papers in

Guan-Ting Lin

28 papers receiving 733 citations

Guan-Ting Lin's Hit Papers

SUPERB: Speech Processing Universal PERformance Benchmark 2021 · 501 citations
5010+1+3Years since publication100200300400500

Peers

Guan-Ting Lin
Comparison fields: 5 of 65
  • Artificial Intelligence 450
  • Signal Processing 92
  • Experimental and Cognitive Psychology 85
  • Computer Vision and Pattern Recognition 34
  • Electrical and Electronic Engineering 62
Replace Xingyu Cai with:
Xingyu Cai China
Kazumasa Yamamoto Japan
Che-Wei Huang United States
Cuiling Zhang China
Hua-Nong Ting Malaysia
Solange Rossato France
David Gelbart United States
Guangzhi Sun United Kingdom
Sohail Masood Bhatti Pakistan
Guan-Ting Lin relative to Xingyu Cai China Xingyu Cai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guan-Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guan-Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan-Ting Lin. 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 Guan-Ting Lin. The network helps show where Guan-Ting Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Guan-Ting Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guan-Ting Lin Line = papers co-authored together Guan-Ting Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SUPERB: Speech Processing Universal PERformance Benchmark
Hit paper breakdown →
2021501
2 201847
3 201428
4 201822
5 202318
6 202216
7 202216
8 201515
9 202014
10 202211
11 202210
12 20227
13 20247
14 20246
15 20245
16 20214
17 20233
18 20243
19 20243
20 20152

About Guan-Ting Lin

Guan-Ting Lin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Developmental Neuroscience, Automotive Engineering and Information Systems and Management, having authored 34 papers that have together received 750 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Speech and dialogue systems (7 papers), Organic Light-Emitting Diodes Research (3 papers), Topic Modeling (2 papers), Protein purification and stability (2 papers), Evacuation and Crowd Dynamics (1 paper), Air Traffic Management and Optimization (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Artificial Intelligence (450 citations), Signal Processing (92 citations), Experimental and Cognitive Psychology (85 citations), Computer Vision and Pattern Recognition (34 citations) and Electrical and Electronic Engineering (62 citations). Guan-Ting Lin has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Hung-yi Lee, Shang-Wen Li, Da-Rong Liu, Yung-Sung Chuang, Shinji Watanabe, Shu-Wen Yang, Cheng-I Lai, Xuankai Chang, Jiatong Shi and Po-Han Chi. Their work appears in journals such as Biochemical Engineering Journal, ACS Applied Materials & Interfaces, Experimental Neurology, Applied Surface Science Advances and Food Chemistry.

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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