2026 Kyunghyun Cho: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	89	622	605	329	319	305	126916

Overview

Kyunghyun Cho is affiliated with New York University in the United States. Their research primarily spans the field of computer science, with a focus on artificial intelligence, molecular biology, computer vision and pattern recognition, surgery, and radiology, nuclear medicine, and imaging.

The scientist's work encompasses several major research topics including topic modeling, natural language processing techniques, total knee arthroplasty outcomes, protein structure and dynamics, machine learning in bioinformatics, radiomics and machine learning in medical imaging, and multimodal machine learning applications.

Frequent coauthors in their collaborations include Richard Bonneau, Vladimir Gligorijević, Haresh Rengaraj Rajamohan, Krzysztof J. Geras, and Nathan C. Frey.

Kyunghyun Cho has contributed to numerous publications, often appearing in several key venues. The frequent publication venues are:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Zenodo (CERN European Organization for Nuclear Research)
Proceedings of the AAAI Conference on Artificial Intelligence

Selected recent papers include:

Static Analysis of Shape in TensorFlow Programs, 2020, arXiv (Cornell University)
Structure-based protein function prediction using graph convolutional networks, 2021, Nature Communications
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms, 2020, JAMA Network Open
Health system-scale language models are all-purpose prediction engines, 2023, Nature
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative, 2020, Radiology

Best Publications

Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation

Kyunghyun Cho;Bart van Merrienboer;Caglar Gulcehre;Dzmitry Bahdanau

28068
Citations
Neural Machine Translation by Jointly Learning to Align and Translate

Dzmitry Bahdanau;Kyunghyun Cho;Yoshua Bengio

25714
Citations
Empirical evaluation of gated recurrent neural networks on sequence modeling

Junyoung Chung;Çaglar Gülçehre;KyungHyun Cho;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

14347
Citations
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

9851
Citations
On the Properties of Neural Machine Translation: Encoder--Decoder Approaches

Kyunghyun Cho;Bart van Merrienboer;Dzmitry Bahdanau;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio

7780
Citations
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu;Jimmy Ba;Ryan Kiros;Kyunghyun Cho

3024
Citations
Attention-based models for speech recognition

Jan Chorowski;Dzmitry Bahdanau;Dmitriy Serdyuk;Kyunghyun Cho

2383
Citations
Recurrent Neural Networks for Multivariate Time Series with Missing Values.

Zhengping Che;Sanjay Purushotham;Kyunghyun Cho;David A. Sontag

2241
Citations
Theano: A Python framework for fast computation of mathematical expressions

Rami Al-Rfou;Guillaume Alain;Amjad Almahairi

2208
Citations
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Yann N Dauphin;Razvan Pascanu;Caglar Gulcehre;Kyunghyun Cho

1397
Citations
Describing Videos by Exploiting Temporal Structure

Li Yao;Atousa Torabi;Kyunghyun Cho;Nicolas Ballas

1234
Citations
On the Number of Linear Regions of Deep Neural Networks

Guido F Montufar;Razvan Pascanu;Kyunghyun Cho;Yoshua Bengio

1189
Citations
On Using Very Large Target Vocabulary for Neural Machine Translation

Sébastien Jean;Kyunghyun Cho;Roland Memisevic;Yoshua Bengio

1066
Citations
How to Construct Deep Recurrent Neural Networks

Razvan Pascanu;Caglar Gulcehre;Kyunghyun Cho;Yoshua Bengio

1021
Citations
Structure-based protein function prediction using graph convolutional networks.

Vladimir Gligorijević;P. Douglas Renfrew;Tomasz Kosciolek;Tomasz Kosciolek;Julia Koehler Leman

828
Citations
Gated Feedback Recurrent Neural Networks

Junyoung Chung;Caglar Gulcehre;Kyunghyun Cho;Yoshua Bengio;Yoshua Bengio

801
Citations
Augmentation for small object detection

Mate Kisantal;Zbigniew Wojna;Jakub Murawski;Jacek Naruniec

768
Citations
On using monolingual corpora in neural machine translation

Çaglar Gülçehre;Orhan Firat;Kelvin Xu;Kyunghyun Cho

724
Citations
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism

Orhan Firat;Kyunghyun Cho;Yoshua Bengio

665
Citations
Joint Event Extraction via Recurrent Neural Networks

Thien Huu Nguyen;Kyunghyun Cho;Ralph Grishman

663
Citations
Passage Re-ranking with BERT

Rodrigo Nogueira;Kyunghyun Cho

620
Citations
Learning distributed representations of sentences from unlabelled data

Felix Hill;Kyunghyun Cho;Anna Korhonen

586
Citations

Frequent Co-Authors

Yoshua Bengio University of Montreal

Jason Weston Facebook (United States)

Douwe Kiela Stanford University

Caglar Gulcehre DeepMind (United Kingdom)

Aaron Courville University of Montreal

Samuel R. Bowman New York University

Jiatao Gu Apple (United States)

Victor O. K. Li University of Hong Kong

Mark Sandler Google (United States)

Razvan Pascanu DeepMind (United Kingdom)

External Links

Personal website of Kyunghyun Cho Google Scholar page

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