Scholar4AI Updated 2026-10-31 19:11 UTC+09:00

LG (South Korea)

Papers in the tracked journals with an author at LG (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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← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at LG (South Korea) took part in 31 papers in the tracked journals, most of them in AI (16), operations research (7) and information systems (5).
  • It ranks #39 among the companies publishing in the tracked journals from 2023 to 2025.
  • 7 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were Korea Advanced Institute of Science and Technology (4), Korea University (4) and Sungkyunkwan University (3).
  • The journals publishing most of them were Expert Systems with Applications (6), Computers & Industrial Engineering (4) and European Journal of Operational Research (2).
  • The most-cited of them is “Machine learning based customer churn prediction in home appliance rental business” (Journal Of Big Data, 2023), with 59 citations.

Papers per year#

2017: 1 paper2018: 1 paper2019: 1 paper2020: 3 papers2021: 1 paper2022: 2 papers2023: 4 papers2024: 9 papers2025: 7 papers2026 (so far): 2 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0001013632
Operations Research0000101320
Information Systems1110010010
Statistics0002000000
Marketing0000000010
All categories1113124972

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Korea Advanced Institute of Science and Technology4
2Korea University4
3Sungkyunkwan University3
4Hanyang University2
5New York University2
6Pohang University of Science and Technology2
7Seoul National University2
8Ulsan National Institute of Science and Technology2
9Boston University1
Countries with the most papers, since 2023
#CountryPapers
1South Korea22
2United States4
3Australia1
4Germany1
5United Kingdom1
Keywords with the most papers, since 2023
#KeywordPapers
13D pose estimation1
2Asset Administration Shell1
3CNN compression1
4COVID-19 pandemic1
5COVID-19 supply chain disruption1
6Industry 5.01
7Kubernetes1
8LLM embeddings1
9NP-hardness1
10angular margin loss1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1591.4Machine learning based customer churn prediction in home appliance rental businessJournal Of Big Data2023-04-05Youngjung Suh
2380.9Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturingComputers & Industrial Engineering2023-05-09Gyeongho Kim, Jae Gyeong Choi, Minjoo Ku et al.
3260.2Smartphone user segmentation based on app usage sequence with neural networksTelematics and Informatics2017-12-09Younghoon Lee, In-Beom Park, Sungzoon Cho et al.
4250.5Exploiting shape cues for weakly supervised semantic segmentationPattern Recognition2022-08-02Sungpil Kho, Pilhyeon Lee, Wonyoung Lee et al.
5240.8Real-Time CNN Training and Compression for Neural-Enhanced Adaptive Live StreamingIEEE Transactions on Pattern Analysis and Machine Intelligence2024-03-14Seunghwa Jeong, Bumki Kim, Seunghoon Cha et al.
6200.5A new support vector machine for categorical featuresExpert Systems with Applications2023-05-13Taeil Jung, Jaejik Kim
7150.2Genetic state-grouping algorithm for deep reinforcement learningExpert Systems with Applications2020-07-07Man-Je Kim, Jun Suk Kim, Sungjin James Kim et al.
8130.4Data-driven analysis and human-centric assignment for manual assembly production linesComputers & Industrial Engineering2024-01-09Goo-Young Kim, Jongpil Yun, Changha Lee et al.
9130.4Domain-knowledge-informed functional outlier detection for line quality control systemsComputers & Industrial Engineering2024-02-01Jong Hwan Mun, Jitae Yoo, Hee-Sun Kim et al.
10120.3Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videosNeural Networks2023-10-26Kyung-Min Jin, Gunhee Lee, Gun-Hee Lee et al.
Cite this page

Scholar4AI. (2026). LG (South Korea). Journal Research Rankings. Retrieved October 31, 2026, from https://scholar4ai.com/companies/lg-south-korea

@misc{scholar4ai-companies-lg-south-korea,
  author = {{Scholar4AI}},
  title = {LG (South Korea)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/lg-south-korea}},
  urldate = {2026-10-31},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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