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

Hyundai Motors (South Korea)

Browse company research profiles

Papers in the tracked journals with an author at Hyundai Motors (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 Hyundai Motors (South Korea) took part in 24 papers in the tracked journals, most of them in AI (19), operations research (3) and information systems (2).
  • 4 of them were published in 2025, against 2 in 2017.
  • Since 2023, the institutions with the most of these papers were Hyundai Motor Group (South Korea) (11), Chung-Ang University (2) and Korea Advanced Institute of Science and Technology (2).
  • The journals publishing most of them were Expert Systems with Applications (4), Computers & Industrial Engineering (2) and Pattern Recognition (1).
  • The most-cited of them is “Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis” (IEEE Transactions on Neural Networks and Learning Systems, 2023), with 39 citations.
  • Since 2023, papers in the tracked journals cited 8 of its papers 21 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 50 times, 8% of them papers with a company author.
  • Across everything OpenAlex indexes, Hyundai Motors (South Korea) has 3,344 works with 103,946 citations (h-index 117).
  • The tracked journals hold 22 of its 1,927 works in OpenAlex from 2017 to 2025 (1.1%).
  • Its main research topics in OpenAlex are Vehicle Dynamics and Control Systems (428), Vehicle Noise and Vibration Control (293) and Electric and Hybrid Vehicle Technologies (269).
  • OpenAlex lists it under Hyundai Motor Group (South Korea).

Papers per year#

2017: 2 papers2018: 1 paper2019: 3 papers2020: 1 paper2021: 1 paper2022: 3 papers2023: 3 papers2024: 4 papers2025: 4 papers2026 (so far): 2 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI2121033421
Operations Research0010000011
Information Systems0000100010
All categories2131133442

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Hyundai Motor Group (South Korea)11
2Chung-Ang University2
3Korea Advanced Institute of Science and Technology2
4Korea University2
5Ajou University1
6Daegu Gyeongbuk Institute of Science and Technology1
7Gwangju Institute of Science and Technology1
8Hanyang University1
9Kangbuk Samsung Hospital1
Countries with the most papers, since 2023
#CountryPapers
1South Korea13
2United States1
Keywords with the most papers, since 2023
#KeywordPapers
1self-attention3
2Bayesian optimization1
3CNN vs transformer comparison1
4UAV path planning1
5autonomous racing1
6background clutter1
7brain age prediction1
8brain disease diagnosis1
9brain tumor segmentation1
10charging scheduling1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1391.0Medical 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.
2260.7A 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
3230.2Knowledge extraction and visualization of digital design processExpert Systems with Applications2017-09-14Jiwon Yang, Eunji Kim, Minhoe Hur et al.
4150.4K-mixup: Data augmentation for offline reinforcement learning using mixup in a Koopman invariant subspaceExpert Systems with Applications2023-04-14Junwoo Jang, Jungwoo Han, Jinwhan Kim
5140.2ADMit: Improving NER in automotive domain with domain adversarial training and multi-task learningExpert Systems with Applications2022-01-01Cheoneum Park, Seohyeong Jeong, Juae Kim
6120.1Representation learning for unsupervised heterogeneous multivariate time series segmentation and its applicationComputers & Industrial Engineering2019-02-21Hyun-Joong Kim, Han Kyul Kim, Misuk Kim et al.
790.5Urban transit optimization: Efficient electric bus operations and vehicle-to-grid integrationComputers & Industrial Engineering2025-04-25Jeongmin Son, Jeongho Im, Dowon Kim
880.3Cerberus: Attribute-based person re-identification using semantic IDsExpert Systems with Applications2024-09-06Chanho Eom, Geon Lee, Kyunghwan Cho et al.
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
1University of Science and Technology of ChinaUniversityChina2
2Chinese Academy of SciencesGovernmentChina2
3Dalian University of TechnologyUniversityChina2
4South China Agricultural UniversityUniversityChina1
5Chongqing University of Posts and TelecommunicationsUniversityChina1
6Northwestern UniversityUniversityUnited States1
7Changzhi UniversityUniversityChina1
8Beijing Institute of TechnologyUniversityChina1
9Cincinnati Children's Hospital Medical CenterHealthcareUnited States1
10Hong Kong Polytechnic UniversityUniversityHong Kong1

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Yonsei UniversityUniversitySouth Korea3
2University of Technology SydneyUniversityAustralia2
3Ewha Womans UniversityUniversitySouth Korea2
4Korea UniversityUniversitySouth Korea2
5Chinese Academy of SciencesGovernmentChina2
6Purdue University West LafayetteUniversityUnited States2
7Fudan UniversityUniversityChina2
8Peng Cheng LaboratoryResearch facilityChina2
9East China Normal UniversityUniversityChina2
10Beihang UniversityUniversityChina2

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

In OpenAlex#

Hyundai Motors (South Korea) in OpenAlex
ItemValue
TypeCompany
LocationSeongnam-si, Gyeonggi-do, South Korea
Also known as현대자동차
Part ofHyundai Motor Group (South Korea)
Units listed in OpenAlex2
Works in OpenAlex3,344
Citations103,946
h-index117
i10-index2,463
2-year mean citedness5.06
Websitewww.hyundai.com/kr/ko/e
RORror.org/016kvft77
OpenAlexopenalex.org/I49946491
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Vehicle Dynamics and Control SystemsEngineering428
2Vehicle Noise and Vibration ControlEngineering293
3Electric and Hybrid Vehicle TechnologiesEngineering269
4Advancements in Battery MaterialsEngineering224
5Advanced Combustion Engine TechnologiesChemical Engineering193
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)2497,31520.8%
20253338,78141.2%
20242807,33341.4%
20232745,78831.1%
20222135,04631.4%
20211924,24110.5%
20201643,63310.6%
20191832,94231.6%
20181582,46410.6%
20171301,90121.5%

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

@misc{scholar4ai-companies-hyundai-motors-south-korea,
  author = {{Scholar4AI}},
  title = {Hyundai Motors (South Korea)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/hyundai-motors-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).