Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Naver (South Korea)

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Papers in the tracked journals with an author at Naver (South Korea): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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Key findings#

  • From 2017 to 2026 (so far), authors at Naver (South Korea) took part in 55 papers in the tracked journals, most of them in AI (49), higher education and research (2) and statistics (1).
  • It ranks #50 among the companies publishing in the tracked journals from 2023 to 2025.
  • 4 of them were published in 2025, against 2 in 2017.
  • Since 2023, the institutions with the most of these papers were NAVER Cloud (South Korea) (9), Korea University (6) and Korea Advanced Institute of Science and Technology (4).
  • The journals publishing most of them were Expert Systems with Applications (6), Information Sciences (3) and IEEE Transactions on Pattern Analysis and Machine Intelligence (3).
  • The most-cited of them is “Learning From Noisy Labels With Deep Neural Networks: A Survey” (IEEE Transactions on Neural Networks and Learning Systems, 2022), with 1,344 citations.
  • Since 2023, papers in the tracked journals cited 30 of its papers 421 times; 96% of those links came from papers with a university author and 1% from its own papers.
  • Its own papers since 2023 cite archived papers 54 times, 26% of them papers with a company author.
  • Across everything OpenAlex indexes, Naver (South Korea) has 3,691 works with 153,874 citations (h-index 142).
  • The tracked journals hold 51 of its 1,174 works in OpenAlex from 2017 to 2025 (4.3%).
  • Its main research topics in OpenAlex are Topic Modeling (353), Advanced Neural Network Applications (258) and Domain Adaptation and Few-Shot Learning (239).

Papers per year#

2017: 2 papers2018: 2 papers2019: 6 papers2020: 10 papers2021: 4 papers2022: 7 papers2023: 7 papers2024: 9 papers2025: 4 papers2026 (so far): 4 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI1266467944
Higher Education and Research0002000000
Statistics0001000000
Information Systems0000010000
Management0001000000
Economics1000000000
All categories22610477944

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1NAVER Cloud (South Korea)9
2Korea University6
3Korea Advanced Institute of Science and Technology4
4Inha University3
5Yonsei University3
6Ajou University2
7Chung-Ang University2
8Sejong University2
9Seoul National University2
Countries with the most papers, since 2023
#CountryPapers
1South Korea24
2United States2
3Switzerland1
4Spain1
5France1
6United Kingdom1
Keywords with the most papers, since 2023
#KeywordPapers
1Korean language2
2attention maps2
3collaborative filtering2
4continual learning2
5data augmentation2
6diffusion models2
7interpretability2
8large language models2
9pseudo-labeling2
10recommender systems2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11,34424.0Learning From Noisy Labels With Deep Neural Networks: A SurveyIEEE Transactions on Neural Networks and Learning Systems2022-03-07Hwanjun Song, Minseok Kim, Dongmin Park et al.
26637.8Voxceleb: Large-scale speaker verification in the wildComputer Speech & Language2019-10-16Arsha Nagrani, Joon Son Chung, Weidi Xie et al.
32722.9LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence2019-01-01Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid
42274.3Learning JPEG Compression Artifacts for Image Manipulation Detection and LocalizationInternational Journal of Computer Vision2022-05-25Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu et al.
51862.5A context-aware citation recommendation model with BERT and graph convolutional networksScientometrics2020-07-13Chanwoo Jeong, Sion Jang, Eunjeong Park et al.
61161.5Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence2020-06-01Junsuk Choe, Seungho Lee, Hyunjung Shim
71100.9Willingness to pay for over-the-top services in China and KoreaTelecommunications Policy2017-01-05Min Sung Kim, Eun Sun Kim, ShinYoung Hwang et al.
81011.3Dirichlet Variational AutoencoderPattern Recognition2020-06-24Weonyoung Joo, Wonsung Lee, Sungrae Park et al.
9721.1Mimetics: Towards Understanding Human Actions Out of ContextInternational Journal of Computer Vision2021-03-02Philippe Weinzaepfel, Grégory Rogez
10590.7Patent document clustering with deep embeddingsScientometrics2020-03-23Jaeyoung Kim, Janghyeok Yoon, Eunjeong Park et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Northwestern Polytechnical UniversityUniversityChina16
2Chinese Academy of SciencesGovernmentChina15
3Sichuan UniversityUniversityChina13
4University of Electronic Science and Technology of ChinaUniversityChina12
5Shanxi UniversityUniversityChina11
6Harbin Institute of TechnologyUniversityChina11
7Xidian UniversityUniversityChina10
8Nanjing University of Science and TechnologyUniversityChina10
9Zhejiang UniversityUniversityChina10
10Tsinghua UniversityUniversityChina10

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Yonsei UniversityUniversitySouth Korea6
2NAVER Cloud (South Korea)CompanySouth Korea4
3Beijing Institute of TechnologyUniversityChina3
4National University of SingaporeUniversitySingapore3
5Jilin UniversityUniversityChina3
6Chinese Academy of SciencesGovernmentChina3
7University of TübingenUniversityGermany3
8Beihang UniversityUniversityChina3
9Centre National de la Recherche ScientifiqueGovernmentFrance2

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

Naver (South Korea) in OpenAlex
ItemValue
TypeCompany
LocationSeongnam-si, Gyeonggi-do, South Korea
Also known as네이버
Units listed in OpenAlex2
Works in OpenAlex3,691
Citations153,874
h-index142
i10-index1,285
2-year mean citedness5.03
Websitewww.navercorp.com
RORror.org/04nzrnx83
OpenAlexopenalex.org/I60922564
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Topic ModelingComputer Science353
2Advanced Neural Network ApplicationsComputer Science258
3Domain Adaptation and Few-Shot LearningComputer Science239
4Natural Language Processing TechniquesComputer Science207
5Speech Recognition and SynthesisComputer Science170
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)1466,40742.7%
20259810,76044.1%
202413211,10496.8%
202315410,74174.5%
20222278,00573.1%
20212077,62441.9%
20201374,524107.3%
20191182,33865.1%
2018601,10423.3%
20174166724.9%

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

Cite this page

Scholar4AI. (2026). Naver (South Korea). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/naver-south-korea

@misc{scholar4ai-companies-naver-south-korea,
  author = {{Scholar4AI}},
  title = {Naver (South Korea)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/naver-south-korea}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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