Yoon Kim
- Artificial Intelligence top 0.05%
- Topic Modeling 24
- Natural Language Processing Techniques 24
- Signal Processing top 0.5%
- Information Systems top 0.2%
- Health Informatics top 2%
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- Advanced Memory and Neural Computing 48
- Semiconductor materials and devices 39
- Advancements in Semiconductor Devices and Circuit Design 25
- Ferroelectric and Negative Capacitance Devices 25
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- Advanced Data Storage Technologies 17
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- Neuroscience and Neural Engineering 16
- Co-authors
- Alexander M. RushDavid SontagYacine JerniteByung‐Gook ParkMyounggon KangDemi GuoLeonardo NeumeyerHoracio Franco
- Partner nations
- South KoreaUnited StatesPakistan
In The Last Decade
Yoon Kim
143 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 8.5k
- Signal Processing 930
- Information Systems 1.9k
- Computer Vision and Pattern Recognition 1.6k
- Health Informatics 71
Countries citing papers authored by Yoon Kim
This map shows the geographic impact of Yoon 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 Yoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon Kim more than expected).
Fields of papers citing papers by Yoon Kim
This network shows the impact of papers produced by Yoon 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 Yoon Kim. The network helps show where Yoon Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | Large language models are few-shot clinical information extractorsbreakdown → | 2022 | 142 |
| 8 | 2022 | 2 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 54 | |
| 11 | 2020 | 68 | |
| 12 | Amortized Bethe Free Energy Minimization for Learning MRFs | 2019 | 2 |
| 13 | OpenNMT: Neural Machine Translation Toolkit | 2018 | 27 |
| 14 | 2017 | 3 | |
| 15 | Sequence-Level Knowledge Distillationbreakdown → | 2016 | 482 |
| 16 | The Quality of Life of North Korean: Current Status and Understanding | 2012 | 3 |
| 17 | 2012 | 9 | |
| 18 | An Image Interpolation by Adaptive Parametric Cubic Convolution | 2008 | 0 |
| 19 | Survival and Physiological Responses of the Tunicate Halocynthia roretzi to Salinity Changes | 2007 | 2 |
| 20 | Synthesis of N-ethanol-2-(myristyl/palmityl)-3-oxo(stearamide/arachidamide) and its physical properties for a cosmetic raw material | 2000 | 4 |
About Yoon Kim
Yoon Kim is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 160 papers that have together received 11.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (48 papers), Semiconductor materials and devices (39 papers), Advancements in Semiconductor Devices and Circuit Design (25 papers), Ferroelectric and Negative Capacitance Devices (25 papers), Topic Modeling (24 papers), Natural Language Processing Techniques (24 papers), Advanced Data Storage Technologies (17 papers) and Neuroscience and Neural Engineering (16 papers). The work is most often cited by research in Artificial Intelligence (8.5k citations), Signal Processing (930 citations) and Information Systems (1.9k citations). Yoon Kim has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Alexander M. Rush, David Sontag, Yacine Jernite, Byung‐Gook Park, Myounggon Kang, Demi Guo, Leonardo Neumeyer, Horacio Franco, Sungjun Kim and Hunter Lang.
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.