Kyunghyun Cho

Computer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 24 papers. Top paper: “Structure-based protein function prediction using graph convolutional networks”.

Structure-based protein function prediction using graph convolutional networks

Nature Communications(2021)10.1038/s41467-021-23303-9

N/A

10.3DataRank · unranked

937 citations

P. Douglas Renfrew, Tomasz Kościółek, Julia Koehler Leman, Daniel Berenberg, Tommi Vatanen +9 more

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative

Radiology(2020)10.1148/radiol.2020192091

N/A

8.9DataRank · unranked

239 citations

Bofei Zhang, Jimin Tan, Yiqiu Shen, Krzysztof J. Geras, James S. Babb +4 more

Protein remote homology detection and structural alignment using deep learning

Nature Biotechnology(2023)10.1038/s41587-023-01917-2

N/A

3.6DataRank · unranked

155 citations

James T. Morton, Robert Blackwell, Daniel Berenberg, Nicholas Carriero, Vladimir Gligorijević +5 more

Trainable Greedy Decoding for Neural Machine Translation

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing(2017)10.18653/v1/d17-1210

N/A

0.606DataRank · unranked

56 citations

Kyunghyun Cho, Victor O.K. Li, Jiatao Gu

NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity

Bioinformatics(2021)10.1093/bioinformatics/btab098

N/A

0.520DataRank · unranked

31 citations

Vladimir Gligorijević, Kyunghyun Cho, Richard Bonneau, Meet Barot

Lab-in-the-loop therapeutic antibody design with deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.19.639050

N/A

0.483DataRank · unranked

24 citations

Isidro Hötzel, Samuel D. Stanton, Ryan L. Kelly, Robert G. Alberstein, Emily K. Makowski +68 more

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.110364

N/A

0.196DataRank · unranked

2 citations

Eisa Hedayati, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Gregory Chang, Richard Kijowski +2 more

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI

Radiology Artificial Intelligence(2025)10.1148/ryai.240373

N/A

0.165DataRank · unranked

2 citations

Shengjia Chen, Çiğdem Özkan, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski +2 more

A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis

Signal Image and Video Processing(2025)10.1007/s11760-025-04404-0

N/A

0.104DataRank · unranked

1 citations

Richard Kijowski, Kyunghyun Cho, Cem Deniz, Haresh Rengaraj Rajamohan

Differences between human and machine perception in medical diagnosis

Scientific Reports(2022)10.1038/s41598-022-10526-z

N/A

0DataRank · unranked

31 citations

Stanisław Jastrzȩbski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen +16 more

Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning

Radiology Advances(2022)10.1093/radadv/umae030

N/A

0DataRank · unranked

2 citations

Shengjia Chen, Chaojie Zhang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz +1 more

NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction

Bioinformatics(2022)10.1093/bioinformatics/btac569

N/A

0DataRank · unranked

1 citations

Kyunghyun Cho, Richard Bonneau, Ren Yi

TM-Vec: template modeling vectors for fast homology detection and alignment

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.25.501437

N/A

0DataRank · unranked

16 citations

James T. Morton, Daniel Berenberg, Nicholas Carriero, Vladimir Gligorijević, Robert Blackwell +5 more

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.28.970202

N/A

0DataRank · unranked

8 citations

Omar Mahmood, Christopher A. Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel Christiaen +2 more

Prediction of total knee replacement using deep learning analysis of knee MRI

Scientific Reports(2023)10.1038/s41598-023-33934-1

N/A

0DataRank · unranked

41 citations

Tianyu Wang, Kevin Leung, Gregory Chang, Kyunghyun Cho, Richard Kijowski +2 more

Learning sequence, structure, and function representations of proteins with language models

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.26.568742

N/A

0DataRank · unranked

11 citations

Meet Barot, James T. Morton, Martin Steinegger, Richard Bonneau, Kyunghyun Cho +1 more

PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

Genome biology(2024)10.1186/s13059-024-03226-6

N/A

0DataRank · unranked

16 citations

Omar Mahmood, Richard Bonneau, Kyunghyun Cho, Claudia Skok Gibbs

Preference Learning Algorithms Do Not Learn Preference Rankings

arXiv (Cornell University)(2024)10.48550/arxiv.2405.19534

N/A

0DataRank · unranked

0 citations

Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath +2 more

Aioli: A Unified Optimization Framework for Language Model Data Mixing

arXiv (Cornell University)(2024)10.48550/arxiv.2411.05735

N/A

0DataRank · unranked

0 citations

Mengying Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré, M. Chen

How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review

arXiv (Cornell University)(2025)10.48550/arxiv.2510.02143

N/A

0DataRank · unranked

0 citations

Natalie Collina, Guangrui Wen, Didong Li, Kyunghyun Cho, Jianqing Fan +3 more

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008569

N/A

0DataRank · unranked

31 citations

Omar Mahmood, Christopher A. Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel Christiaen +2 more

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Medical Image Analysis(2020)10.1016/j.media.2020.101908

N/A

0DataRank · unranked

205 citations

Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi +6 more

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Journal of Digital Imaging(2021)10.1007/s10278-021-00530-6

N/A

0DataRank · unranked

11 citations

Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino +6 more

NetTIME: a Multitask and Base-pair Resolution Framework for Improved Transcription Factor Binding Site Prediction

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.29.446316

N/A

0DataRank · unranked

0 citations

Kyunghyun Cho, Richard Bonneau, Ren Yi