Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

Hyundai Motor Group (South Korea)

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Historical profile. Data snapshot: 2026-11-04. This profile is outside the current selection; the figures and research below are retained from that snapshot. Browse the directory for other profiles.

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Papers in the tracked journals with an author at Hyundai Motor Group (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.

← Corporate research

Key findings#

  • From 2017 to 2026 (so far), authors at Hyundai Motor Group (South Korea) took part in 14 papers in the tracked journals, most of them in AI (10), operations research (3) and information systems (1).
  • 4 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were Hyundai Motors (South Korea) (9), Korea Advanced Institute of Science and Technology (2) and Korea University (2).
  • The journals publishing most of them were Expert Systems with Applications (3), Computers & Industrial Engineering (2) and Pattern Recognition (1).
  • The most-cited of them is “A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem” (Computers & Operations Research, 2023), with 115 citations.
  • Since 2023, papers in the tracked journals cited 9 of its papers 51 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 42 times, 5% of them papers with a company author.
  • Across everything OpenAlex indexes, Hyundai Motor Group (South Korea) has 2,217 works with 72,318 citations (h-index 107).
  • The tracked journals hold 13 of its 1,395 works in OpenAlex from 2017 to 2025 (0.9%).
  • Its main research topics in OpenAlex are Vehicle Dynamics and Control Systems (240), Vehicle Noise and Vibration Control (177) and Advancements in Battery Materials (175).

Papers per year#

2017: 1 paper2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 3 papers2023: 4 papers2024: 1 paper2025: 4 papers2026 (so far): 1 paper
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI1000033120
Operations Research0000001011
Information Systems0000000010
All categories1000034141

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Hyundai Motors (South Korea)9
2Korea Advanced Institute of Science and Technology2
3Korea University2
4Ajou University1
5Chung-Ang University1
6Daegu Gyeongbuk Institute of Science and Technology1
7Gwangju Institute of Science and Technology1
8Hanyang University1
9Korea Aerospace University1
Countries with the most papers, since 2023
#CountryPapers
1South Korea10
2Spain1
3Singapore1
4United States1
Keywords with the most papers, since 2023
#KeywordPapers
1self-attention2
2Bayesian optimization1
3CNN vs transformer comparison1
4autonomous racing1
5brain age prediction1
6brain disease diagnosis1
7brain tumor segmentation1
8centralized training decentralized execution1
9charging scheduling1
10confidence estimation1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11152.8A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problemComputers & Operations Research2023-06-02Renke Liu, Rajesh Piplani, Carlos Toro
2391.0Medical Transformer: Universal Encoder for 3-D Brain MRI AnalysisIEEE Transactions on Neural Networks and Learning Systems2023-09-21Eunji Jun, Seungwoo Jeong, Da-Woon Heo et al.
3260.7A Study on the Generality of Neural Network Structures for Monocular Depth EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence2023-11-13Jinwoo Bae, Kyumin Hwang, Sunghoon Im
4230.2Knowledge extraction and visualization of digital design processExpert Systems with Applications2017-09-14Jiwon Yang, Eunji Kim, Minhoe Hur et al.
5170.3Weakly labeled data augmentation for social media named entity recognitionExpert Systems with Applications2022-07-20Juae Kim, Yejin Kim, Sangwoo Kang
6150.4K-mixup: Data augmentation for offline reinforcement learning using mixup in a Koopman invariant subspaceExpert Systems with Applications2023-04-14Junwoo Jang, Jungwoo Han, Jinwhan Kim
7140.2ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learningExpert Systems with Applications2022-01-01Cheoneum Park, Seohyeong Jeong, Juae Kim
890.5Urban transit optimization: Efficient electric bus operations and vehicle-to-grid integrationComputers & Industrial Engineering2025-04-25Jeongmin Son, Jeongho Im, Dowon Kim
960.2Learning confidence measure with transformer in stereo matchingPattern Recognition2024-08-10Jini Yang, Minjung Yoo, Jae Hoon Cho et al.
1060.3A hybrid fault diagnostic approach using operational transfer path analysis and denoising deep learning with remote sensors: Application to electric vehiclesExpert Systems with Applications2025-01-08Jeongmin Oh, Donghwi Yoo, Chungeon Kim et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Hong Kong Polytechnic UniversityUniversityHong Kong4
2Huazhong University of Science and TechnologyUniversityChina4
3Xi'an Jiaotong UniversityUniversityChina3
4Kunming University of Science and TechnologyUniversityChina2
5Tongji UniversityUniversityChina2
6Beijing Institute of TechnologyUniversityChina2
7Hohai UniversityUniversityChina2
8City University of Hong KongUniversityHong Kong2
9Dalian University of TechnologyUniversityChina2
10China University of GeosciencesUniversityChina2

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Ewha Womans UniversityUniversitySouth Korea2
2Yonsei UniversityUniversitySouth Korea2
3Korea UniversityUniversitySouth Korea2
4Purdue University West LafayetteUniversityUnited States2
5Fudan UniversityUniversityChina2
6East China Normal UniversityUniversityChina2
7Beihang UniversityUniversityChina2
8Tsinghua UniversityUniversityChina2
9University College DublinUniversityIreland1
10Worcester Polytechnic InstituteUniversityUnited States1

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

In OpenAlex#

Hyundai Motor Group (South Korea) in OpenAlex
ItemValue
TypeCompany
LocationSeoul, South Korea
Units listed in OpenAlex6
Works in OpenAlex2,217
Citations72,318
h-index107
i10-index1,652
2-year mean citedness6.16
Websitewww.hyundaimotorgroup.com/Index.hub
RORror.org/05kxbz959
OpenAlexopenalex.org/I197312522
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Vehicle Dynamics and Control SystemsEngineering240
2Vehicle Noise and Vibration ControlEngineering177
3Advancements in Battery MaterialsEngineering175
4Electric and Hybrid Vehicle TechnologiesEngineering163
5Advanced Battery Materials and TechnologiesEngineering138
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)1955,63210.5%
20252486,64241.6%
20242095,35210.5%
20231994,21542.0%
20221543,52631.9%
20211422,83800.0%
20201332,36600.0%
20191211,82900.0%
20181061,55900.0%
2017831,11111.2%

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). Hyundai Motor Group (South Korea). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/companies/hyundai-motor-group-south-korea

@misc{scholar4ai-companies-hyundai-motor-group-south-korea,
  author = {{Scholar4AI}},
  title = {Hyundai Motor Group (South Korea)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/hyundai-motor-group-south-korea}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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