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

LG AI Research (South Korea)

Browse company research profiles

Papers in the tracked journals with an author at LG AI Research (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.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at LG AI Research (South Korea) took part in 16 papers in the tracked journals, most of them in AI (15) and higher education and research (1).
  • 3 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Korea University (6), Seoul National University (6) and Georgia Institute of Technology (3).
  • The journals publishing most of them were Neural Networks (4), Knowledge-Based Systems (2) and Information Sciences (1).
  • The most-cited of them is “Contrastive Time-Series Anomaly Detection” (IEEE Transactions on Knowledge and Data Engineering, 2023), with 42 citations.
  • Since 2023, papers in the tracked journals cited 12 of its papers 40 times; 100% of those links came from papers with a university author and 0% from its own papers.
  • Its own papers since 2023 cite archived papers 37 times, 38% of them papers with a company author.
  • Across everything OpenAlex indexes, LG AI Research (South Korea) has 480 works with 9,037 citations (h-index 46).
  • The tracked journals hold 15 of its 376 works in OpenAlex from 2018 to 2025 (4.0%).
  • Its main research topics in OpenAlex are Topic Modeling (165), Domain Adaptation and Few-Shot Learning (100) and Natural Language Processing Techniques (95).
  • OpenAlex lists it under LG (South Korea).

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 1 paper2023: 4 papers2024: 7 papers2025: 3 papers2026 (so far): 1 paper
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0000014730
Higher Education and Research0000000001
All categories0000014731

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Korea University6
2Seoul National University6
3Georgia Institute of Technology3
4Korea Advanced Institute of Science and Technology2
5Chung-Ang University1
6Kwangwoon University1
7Kyung Hee University1
8Kyungpook National University1
9LG (South Korea)1
Countries with the most papers, since 2023
#CountryPapers
1South Korea15
2United States4
Keywords with the most papers, since 2023
#KeywordPapers
1continual learning2
2contrastive learning2
3label noise2
4meta-learning2
5state representation learning2
63-cycles1
73D pose estimation1
8Atari games1
9InfoNCE loss1
10Ollivier-Ricci curvature1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1421.2Contrastive Time-Series Anomaly DetectionIEEE Transactions on Knowledge and Data Engineering2023-11-22HyunGi Kim, Siwon Kim, Seonwoo Min et al.
2220.8SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy LabelsInternational Journal of Computer Vision2024-08-09Daehwan Kim, Kwangrok Ryoo, Hansang Cho et al.
3210.8When Meta-Learning Meets Online and Continual Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence2024-09-18Jaehyeon Son, Soochan Lee, Gunhee Kim
4120.3STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in AtariNeural Networks2022-12-28Young Jae Lee, Jaehoon Kim, Min Gu Kwak et al.
5120.3Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videosNeural Networks2023-10-26Kyung-Min Jin, Gunhee Lee, Gun-Hee Lee et al.
6110.2Localized curvature-based combinatorial subgraph sampling for large-scale graphsPattern Recognition2023-03-05Dong Shu, Youjin Kim, Junseok Kwon
780.3DynaSTI: Dynamics modeling with sequential temporal information for reinforcement learning in AtariKnowledge-Based Systems2024-06-09Jaehoon Kim, Jaehoon Kim, Young Jae Lee et al.
860.2Towards a rigorous analysis of mutual information in contrastive learningNeural Networks2024-08-02Kyung‐Eun Lee, Jaeill Kim, Suhyun Kang et al.
960.2Masked and Inverse Dynamics Modeling for Data-Efficient Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems2024-08-14Young Jae Lee, Jaehoon Kim, Young Joon Park et al.
1040.3Large language models are zero-shot point-of-interest recommendersData Mining and Knowledge Discovery2025-09-06Jo‐Eun Kim, Youngjin Seo, Yeonsoo Kim et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Nanyang Technological UniversityUniversitySingapore3
2Wuhan University of TechnologyUniversityChina3
3Anhui UniversityUniversityChina2
4Hefei University of TechnologyUniversityChina2
5Shanxi UniversityUniversityChina2
6Korea UniversityUniversitySouth Korea2
7Chinese Academy of SciencesGovernmentChina2
8China University of Petroleum, East ChinaUniversityChina2
9Computer Vision CenterOtherSpain2
10Huazhong University of Science and TechnologyUniversityChina2

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1University of Science and Technology of ChinaUniversityChina3
2Institut national de recherche en sciences et technologies du numériqueGovernmentFrance3
3Microsoft Research Asia (China)CompanyChina3
4Nanjing UniversityUniversityChina3
5Sun Yat-sen UniversityUniversityChina2
6Nanyang Technological UniversityUniversitySingapore2
7Shanghai Jiao Tong UniversityUniversityChina2
8Chinese Academy of SciencesGovernmentChina2
9École Nationale Supérieure de Techniques AvancéesUniversityFrance2
10Kyoto UniversityUniversityJapan2

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

In OpenAlex#

LG AI Research (South Korea) in OpenAlex
ItemValue
TypeCompany
LocationSeoul, South Korea
Also known asLG AI Research, LG AI 연구원
Part ofLG (South Korea)
Works in OpenAlex480
Citations9,037
h-index46
i10-index150
2-year mean citedness2.29
Websitewww.lgresearch.ai
RORror.org/00nt82y31
OpenAlexopenalex.org/I4405258446
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Topic ModelingComputer Science165
2Domain Adaptation and Few-Shot LearningComputer Science100
3Natural Language Processing TechniquesComputer Science95
4Advanced Neural Network ApplicationsComputer Science73
5Multimodal Machine Learning ApplicationsComputer Science70
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)10497911.0%
20251091,24632.8%
20241011,13476.9%
20237977045.1%
20224329012.3%
2021378600.0%
202031900.0%
20193500.0%
20181000.0%

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). LG AI Research (South Korea). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/lg-ai-research-south-korea

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).