Suyoun Kim

2.3k total citations · 2 hit papers
24 papers, 1.3k citations indexed

About

Suyoun Kim is a scholar working on Artificial Intelligence, Signal Processing and Social Psychology. According to data from OpenAlex, Suyoun Kim has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Signal Processing and 1 paper in Social Psychology. Recurrent topics in Suyoun Kim's work include Speech Recognition and Synthesis (16 papers), Speech and dialogue systems (10 papers) and Natural Language Processing Techniques (9 papers). Suyoun Kim is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and dialogue systems (10 papers) and Natural Language Processing Techniques (9 papers). Suyoun Kim collaborates with scholars based in United States, Japan and Germany. Suyoun Kim's co-authors include Takaaki Hori, Shinji Watanabe, John R. Hershey, Tomoki Hayashi, Michael L. Seltzer, Florian Metze, Duc Le, Ian Lane, Christian Fuegen and Yatharth Saraf and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Interspeech 2022 and Korean Association for Educational Information and Media.

In The Last Decade

Suyoun Kim

20 papers receiving 1.2k citations

Hit Papers

Joint CTC-attention based end-to-end speech recognition u... 2017 2026 2020 2023 2017 2017 100 200 300 400 500

Peers

Suyoun Kim
Comparison fields: 5 of 67
  • Artificial Intelligence 1.1k
  • Signal Processing 804
  • Computer Vision and Pattern Recognition 103
  • Experimental and Cognitive Psychology 48
  • Electrical and Electronic Engineering 38
Replace Rohit Sinha with:
Rohit Sinha India
Hank Liao United States
Björn Hoffmeister Germany
Man-Hung Siu Hong Kong
Yanzhang He United States
Shinnosuke Takamichi Japan
Jiangyan Yi China
Olivier Siohan United States
Mitchell McLaren United States
Zhengyang Chen China
Rohit Sinha India View profile →
Citations per field, relative to Suyoun Kim
Suyoun Kim · 1×
Citations per year, relative to Suyoun Kim
Suyoun Kim · 1×

Countries citing papers authored by Suyoun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Suyoun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyoun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Suyoun Kim. A scholar is included among the top collaborators of Suyoun Kim 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 Suyoun Kim. Suyoun Kim 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 5
6 4
7 44
8 1
9 18
10 18
11 8
12 4
13 35
14 23
15 22
16
Hybrid CTC/Attention Architecture for End-to-End Speech Recognition breakdown →
483
17
Joint CTC-attention based end-to-end speech recognition using multi-task learning breakdown →
516
18 11
19
Multi-Channel Speech Recognition: LSTMs All the Way Through
41
20 10

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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