Most cited papers from Naver (South Korea)
What are the most cited papers from Naver (South Korea)?
The most cited paper from Naver (South Korea) is "BioBERT: a pre-trained biomedical language representation model for biomedical text mining" (Jinhyuk Lee, Wonjin Yoon, Sungdong Kim et al., 2019), with 7,445 citations. Next come "CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features" (4,925) and "StarGAN v2: Diverse Image Synthesis for Multiple Domains" (1,669).
Showing 50 of 60 papers. Every paper with more than 152 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee, Wonjin Yoon, Sungdong Kim et al. · Bioinformatics | 5 Sep 2019 | 7,445 |
| 2 | CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features Sangdoo Yun, Dongyoon Han, Sanghyuk Chun et al. | Oct 2019 | 4,925 |
| 3 | StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi, Youngjung Uh, Jaejun Yoo et al. | Jun 2020 | 1,669 |
| 4 | Learning From Noisy Labels With Deep Neural Networks: A Survey Hwanjun Song, Minseok Kim, Dongmin Park et al. · IEEE Transactions on Neural Networks and Learning Systems | 7 Mar 2022 | 1,249 |
| 5 | Character Region Awareness for Text Detection Youngmin Baek, Bado Lee, Dongyoon Han et al. | Jun 2019 | 1,104 |
| 6 | Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim | 9 Apr 2020 | 858 |
| 7 | Dual Attention Networks for Multimodal Reasoning and Matching Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim | Jul 2017 | 752 |
| 8 | The Visual Object Tracking VOT2016 Challenge Results Matej Kristan et al. · Lecture notes in computer science | 2016 | 715 |
| 9 | The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan et al. · Lecture notes in computer science | 2019 | 713 |
| 10 | Voxceleb: Large-scale speaker verification in the wild Arsha Nagrani, Joon Son Chung, Weidi Xie et al. · Computer Speech & Language | 16 Oct 2019 | 689 |
| 11 | A Comprehensive Overhaul of Feature Distillation Byeongho Heo, Jeesoo Kim, Sangdoo Yun et al. | Oct 2019 | 675 |
| 12 | What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis Jeonghun Baek, Geewook Kim, Junyeop Lee et al. | Oct 2019 | 602 |
| 13 | DUSt3R: Geometric 3D Vision Made Easy Shuzhe Wang, Vincent Leroy, Yohann Cabon et al. | 16 Jun 2024 | 535 |
| 14 | Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons Byeongho Heo, Minsik Lee, Sangdoo Yun et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 17 Jul 2019 | 518 |
| 15 | Electronic and Thermal Properties of Graphene and Recent Advances in Graphene Based Electronics Applications Mingyu Sang, Jongwoon Shin, Kiho Kim et al. · Nanomaterials | 5 Mar 2019 | 508 |
| 16 | Proprioceptive Actuator Design in the MIT Cheetah: Impact Mitigation and High-Bandwidth Physical Interaction for Dynamic Legged Robots Patrick M. Wensing, Albert Z. Wang, Sangok Seok et al. · IEEE Transactions on Robotics | 19 Jan 2017 | 483 |
| 17 | OCR-Free Document Understanding Transformer Geewook Kim, Teakgyu Hong, Moonbin Yim et al. · Lecture notes in computer science | 2022 | 409 |
| 18 | In Defence of Metric Learning for Speaker Recognition Joon Son Chung, Jaesung Huh, Seongkyu Mun et al. | 25 Oct 2020 | 399 |
| 19 | Photorealistic Style Transfer via Wavelet Transforms Jaejun Yoo, Youngjung Uh, Sanghyuk Chun et al. | Oct 2019 | 397 |
| 20 | KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving Yukyung Choi, Namil Kim, Soonmin Hwang et al. · IEEE Transactions on Intelligent Transportation Systems | 15 Feb 2018 | 381 |
| 21 | AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks Jee-weon Jung, Hee-Soo Heo, Hemlata Tak et al. · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 27 Apr 2022 | 368 |
| 22 | Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang, Heesu Kim, Youngjoon Yoo et al. | Jun 2021 | 350 |
| 23 | PoTion: Pose MoTion Representation for Action Recognition Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud et al. | Jun 2018 | 349 |
| 24 | Action Tubelet Detector for Spatio-Temporal Action Localization Vicky S. Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari et al. | Oct 2017 | 348 |
| 25 | Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments Giseop Kim, Sun‐Wook Choi, Ayoung Kim · IEEE Transactions on Robotics | 10 Nov 2021 | 319 |
| 26 | Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment Yoon C. Cho, Esen Sagynov · International Journal of Management & Information Systems (IJMIS) | 22 Jan 2015 | 309 |
| 27 | MARS: Motion-Augmented RGB Stream for Action Recognition Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari et al. | Jun 2019 | 296 |
| 28 | Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee, Jin-Hwa Kim, Jae-Hyun Jun et al. · arXiv (Cornell University) | 24 Mar 2017 | 290 |
| 29 | Background Suppression Network for Weakly-Supervised Temporal Action Localization Pilhyeon Lee, Youngjung Uh, Hyeran Byun · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) | 3 Apr 2020 | 265 |
| 30 | SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim, Youngjun Francis Yoo, Seunghyun Park et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 263 |
| 31 | Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende et al. | Jun 2021 | 252 |
| 32 | Comprehensive ensemble in QSAR prediction for drug discovery Sunyoung Kwon, Ho Bae, Jeonghee Jo et al. · BMC Bioinformatics | 26 Oct 2019 | 247 |
| 33 | Characteristics and Psychiatric Symptoms of Internet Gaming Disorder among Adults Using Self-Reported DSM-5 Criteria Na Ri Kim, Samuel Suk-Hyun Hwang, Jung‐Seok Choi et al. · Psychiatry Investigation | 2016 | 234 |
| 34 | Implementing Computer-Assisted Language Learning in the EFL Classroom: Teachers’ Perceptions and Perspectives Chan Nim Park, Jeong‐Bae Son · International Journal of Pedagogies and Learning | 2009 | 225 |
| 35 | Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation Hemlata Tak, Massimiliano Todisco, Xin Wang et al. | 17 Jun 2022 | 224 |
| 36 | StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation Yunjey Choi, Minje Choi, Munyoung Kim et al. | Jun 2018 | 222 |
| 37 | The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification Seulki Park, Youngkyu Hong, Byeongho Heo et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 214 |
| 38 | Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu et al. · International Journal of Computer Vision | 25 May 2022 | 213 |
| 39 | HAMA: An Efficient Matrix Computation with the MapReduce Framework Sangwon Seo, Edward J. Yoon, Jaehong Kim et al. | Nov 2010 | 209 |
| 40 | TaleBrush: Sketching Stories with Generative Pretrained Language Models John Joon Young Chung, Woo Seok Kim, Kang Min Yoo et al. · CHI Conference on Human Factors in Computing Systems | 28 Apr 2022 | 207 |
| 41 | CFGAN Dong‐Kyu Chae, Jin-Soo Kang, Sang‐Wook Kim et al. | 17 Oct 2018 | 201 |
| 42 | Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe, Seong Joon Oh, Seungho Lee et al. | Jun 2020 | 190 |
| 43 | Efficient Dialogue State Tracking by Selectively Overwriting Memory Sungdong Kim, Sohee Yang, Gyuwan Kim et al. | 2020 | 190 |
| 44 | Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information Seonhoon Kim, In-Ho Kang, Nojun Kwak · Proceedings of the AAAI Conference on Artificial Intelligence | 17 Jul 2019 | 188 |
| 45 | Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation Buru Chang, Yong Gyu Park, Donghyeon Park et al. | Jul 2018 | 186 |
| 46 | Clinical significances of preoperative serum interleukin-6 and C-reactive protein level in operable gastric cancer Do-Kyong Kim, Sung Yong Oh, Hyuk-Chan Kwon et al. · BMC Cancer | 20 May 2009 | 182 |
| 47 | End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection Hemlata Tak, Jee-weon Jung, José Patino et al. | 10 Sep 2021 | 181 |
| 48 | Text classification using capsules Jaeyoung Kim, Sion Jang, Eunjeong Park et al. · Neurocomputing | 17 Oct 2019 | 181 |
| 49 | Hadamard Product for Low-rank Bilinear Pooling Jin-Hwa Kim, Kyoung Woon On, Woosang Lim et al. · arXiv (Cornell University) | 14 Oct 2016 | 180 |
| 50 | A context-aware citation recommendation model with BERT and graph convolutional networks Chanwoo Jeong, Sion Jang, Eunjeong Park et al. · Scientometrics | 13 Jul 2020 | 176 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.