Guan-Ting Lin

1.0k citations
33 papers · 681 · 1 hit paper · h-index 11

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

Guan-Ting Lin

28 papers receiving 661 citations

Guan-Ting Lin's Hit Papers

SUPERB: Speech Processing Universal PERformance Benchmark 2021 · 452 citations
4520+1+3Years since publication100200300400

Peers

Guan-Ting Lin
Comparison fields: 5 of 95
  • Signal Processing 272
  • Artificial Intelligence 437
  • Experimental and Cognitive Psychology 68
  • Developmental Biology 4
  • Polymers and Plastics 25
Replace Dongyang Dai with:
Dongyang Dai China
Parveen Lehana India
Yakun Zhang China
Tianrui Hu China
Mengyue Wu China
Xie Chen China
Xuewen Wu China
Liandong Li China
Guan-Ting Lin relative to Dongyang Dai China Dongyang Dai's profile →
Citations per field
00.5×6.3×
Dongyang Dai · 1×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SUPERB: Speech Processing Universal PERformance Benchmark
Hit paper breakdown →
2021452
2 201845
3 201422
4 201819
5 202317
6 201515
7 202215
8 202012
9 202212
10 202211
11 202210
12 20189
13 20226
14 20246
15 20245
16 20214
17 20243
18 20232
19 20152
20 20242

About Guan-Ting Lin

Guan-Ting Lin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology and Signal Processing, having authored 33 papers that have together received 681 indexed citations. Recurring topics across this work include Speech and dialogue systems (11 papers), Natural Language Processing Techniques (9 papers), Speech Recognition and Synthesis (8 papers), Topic Modeling (7 papers), Organic Light-Emitting Diodes Research (3 papers), Speech and Audio Processing (3 papers), Organic Electronics and Photovoltaics (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Signal Processing (272 citations), Artificial Intelligence (437 citations), Experimental and Cognitive Psychology (68 citations), Developmental Biology (4 citations) and Polymers and Plastics (25 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, Yung-Sung Chuang, Cheng-I Lai, Xuankai Chang, Da-Rong Liu, Yist Y. Lin, Kushal Lakhotia, Shu-Wen Yang and Wei-Cheng Tseng. Their work appears in journals such as Biochemical Engineering Journal, International Journal of Environmental Research and Public Health, Food Chemistry, Experimental Neurology and Applied Surface Science Advances.

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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