World's Best Scientists 2026 revealed!
Jaewoo Kang

Jaewoo Kang

D-Index & Metrics

Computer Science

D-Index
49
Citations
16486
World Ranking
5759
National Ranking
41

Overview

Jaewoo Kang is affiliated with Korea University in South Korea and has a research focus primarily within the field of Computer Science, contributing extensively to Artificial Intelligence, Molecular Biology, and related interdisciplinary areas.

The scientist's recent publications cover a range of topics and venues, including:

  • Building a PubMed knowledge graph, 2020, Scientific Data
  • BERN2: an advanced neural biomedical named entity recognition and normalization tool, 2022, Bioinformatics
  • Graph Transformer Networks: Learning meta-path graphs to improve GNNs, 2022, Neural Networks
  • Crowdsourced mapping of unexplored target space of kinase inhibitors, 2021, Nature Communications
  • Improved survival analysis by learning shared genomic information from pan-cancer data, 2020, Bioinformatics

Frequent coauthors in Jaewoo Kang's publications include:

  • Mujeen Sung (22 collaborations)
  • Minbyul Jeong (21 collaborations)
  • Sunkyu Kim (20 collaborations)
  • Mogan Gim (17 collaborations)
  • Jinhyuk Lee (15 collaborations)

The venues in which the scientist frequently publishes are:

  • arXiv (Cornell University) with 61 publications
  • Bioinformatics with 10 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 6 publications
  • IEEE Access with 5 publications
  • Database with 3 publications

Main fields of study encompass Computer Science with a subfield emphasis on:

  • Artificial Intelligence (124 publications)
  • Molecular Biology (58 publications)
  • Computer Vision and Pattern Recognition (31 publications)
  • Computational Theory and Mathematics (18 publications)
  • Information Systems (10 publications)

The primary research topics covered in the scientist's work include:

  • Topic Modeling (104 publications)
  • Natural Language Processing Techniques (68 publications)
  • Biomedical Text Mining and Ontologies (44 publications)
  • Computational Drug Discovery Methods (34 publications)
  • Multimodal Machine Learning Applications (32 publications)
  • Bioinformatics and Genomic Networks (18 publications)
  • Advanced Graph Neural Networks (16 publications)

Best Publications

  • BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

    Jinhyuk Lee;Wonjin Yoon;Sungdong Kim;Donghyeon Kim

  • DSigDB: drug signatures database for gene set analysis

    Minjae Yoo;Jimin Shin;Jihye Kim;Karen A. Ryall

  • Evaluating window joins over unbounded streams

    J. Kang;J.F. Naughton;S.D. Viglas

  • Self-attention graph pooling

    Junhyun Lee;Inyeop Lee;Jaewoo Kang

  • Graph Transformer Networks

    Seongjun Yun;Minbyul Jeong;Raehyun Kim;Jaewoo Kang

  • Catching the boat with Strudel: experiences with a Web-site management system

    Mary Fernández;Daniela Florescu;Jaewoo Kang;Alon Levy

  • Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

    Michael P Menden;Michael P Menden;Dennis Wang;Dennis Wang;Mike J Mason;Bence Szalai;Bence Szalai;Bence Szalai

  • On schema matching with opaque column names and data values

    Jaewoo Kang;Jeffrey F. Naughton

  • The Niagara Internet Query System.

    Jeffrey F. Naughton;David J. DeWitt;David Maier;Ashraf Aboulnaga

  • HOTR: End-to-End Human-Object Interaction Detection with Transformers

    Bumsoo Kim;Junhyun Lee;Jaewoo Kang;Eun-Sol Kim

  • STRUDEL: a Web site management system

    Mary Fernandez;Daniela Florescu;Jaewoo Kang;Alon Levy

  • CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

    Wonjin Yoon;Chan Ho So;Jinhyuk Lee;Jaewoo Kang

  • Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation

    Buru Chang;Yonggyu Park;Donghyeon Park;Seongsoon Kim

  • Building a PubMed knowledge graph.

    Jian Xu;Sunkyu Kim;Min Song;Minbyul Jeong

  • Comparative study of name disambiguation problem using a scalable blocking-based framework

    Byung-Won On;Dongwon Lee;Jaewoo Kang;Prasenjit Mitra

  • UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection

    Bumsoo Kim;Taeho Choi;Jaewoo Kang;Hyunwoo J. Kim

  • Biomedical Entity Representations with Synonym Marginalization

    Mujeen Sung;Hwisang Jeon;Jinhyuk Lee;Jaewoo Kang

  • Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.

    Hwejin Jung;Bumsoo Kim;Inyeop Lee;Minhwan Yoo

  • A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

    Donghyeon Kim;Jinhyuk Lee;Chan Ho So;Hwisang Jeon

  • Effective and scalable solutions for mixed and split citation problems in digital libraries

    Dongwon Lee;Byung-Won On;Jaewoo Kang;Sanghyun Park

Frequent Co-Authors

Aik Choon Tan
Aik Choon Tan University of Utah
Dongwon Lee
Dongwon Lee Pennsylvania State University
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University
Alon Y. Levy
Alon Y. Levy Facebook (United States)
Dan Suciu
Dan Suciu University of Washington
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Keun Ho Ryu
Keun Ho Ryu Ton Duc Thang University
Daniela Florescu
Daniela Florescu Oracle (United States)
Timothy M. Willson
Timothy M. Willson University of North Carolina at Chapel Hill
Tero Aittokallio
Tero Aittokallio University of Helsinki

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