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

Sony (Japan)

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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 Sony (Japan): 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 Sony (Japan) took part in 14 papers in the tracked journals, most of them in AI (14).
  • 4 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (1), Commonwealth Scientific and Industrial Research Organisation (1) and Computer Vision Laboratory (1).
  • The journals publishing most of them were Artificial Intelligence Review (2), IEEE Transactions on Neural Networks and Learning Systems (2) and Machine Learning (1).
  • The most-cited of them is “Privacy and Robustness in Federated Learning: Attacks and Defenses” (IEEE Transactions on Neural Networks and Learning Systems, 2022), with 548 citations.
  • Since 2023, papers in the tracked journals cited 10 of its papers 99 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 35 times, 20% of them papers with a company author.
  • Across everything OpenAlex indexes, Sony (Japan) has 5,802 works with 340,123 citations (h-index 202).
  • The tracked journals hold 14 of its 870 works in OpenAlex from 2017 to 2025 (1.6%).
  • Its main research topics in OpenAlex are Advanced Data Storage Technologies (522), Magnetic properties of thin films (485) and Semiconductor materials and devices (418).

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 1 paper2021: 0 papers2022: 4 papers2023: 3 papers2024: 2 papers2025: 4 papers2026 (so far): 0 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0001043240
All categories0001043240

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Chinese Academy of Sciences1
2Commonwealth Scientific and Industrial Research Organisation1
3Computer Vision Laboratory1
4Data611
5ETH Zurich1
6Hong Kong University of Science and Technology1
7Korea University1
8Microsoft Research Asia (China)1
9Monash University1
Countries with the most papers, since 2023
#CountryPapers
1Japan9
2China3
3Taiwan2
4United States2
5Australia1
6Switzerland1
7Hong Kong1
8South Korea1
9Singapore1
Keywords with the most papers, since 2023
#KeywordPapers
1contrastive learning3
2catastrophic forgetting2
3class-incremental learning2
4continual learning2
5knowledge distillation2
63D object recognition1
7ChatGPT1
8Gaussian mixture model1
9adversarial defense1
10adversarial prompts1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
154811.5Privacy and Robustness in Federated Learning: Attacks and DefensesIEEE Transactions on Neural Networks and Learning Systems2022-11-10Lingjuan Lyu, Han Yu, Xingjun Ma et al.
22192.9Origami-inspired miniature manipulator for teleoperated microsurgeryNature Machine Intelligence2020-07-27Hiroyuki Suzuki, Robert J. Wood
31524.4Defending ChatGPT against jailbreak attack via self-remindersNature Machine Intelligence2023-12-12Yueqi Xie, Jingwei Yi, Jiawei Shao et al.
4540.9Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and VisionInternational Journal of Computer Vision2022-01-04Andrew Shin, Masato Ishii, Takuya Narihira
5231.0A survey on self-supervised learning for non-sequential tabular dataMachine Learning2025-01-01Wei‐Yao Wang, Weiwei Du, Derek Xu et al.
6200.4Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary LearningIEEE Transactions on Knowledge and Data Engineering2022-02-12Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu et al.
7171.0SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesIEEE Transactions on Neural Networks and Learning Systems2025-05-16Zhengyi Zhong, Weidong Bao, Ji Wang et al.
8130.3KitchenScale: Learning to predict ingredient quantities from recipe contextsExpert Systems with Applications2023-04-06Donghee Choi, Mogan Gim, Samy Badreddine et al.
9120.3InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud RepresentationIEEE Transactions on Neural Networks and Learning Systems2023-02-27Jiahua Dong, Yang Cong, Gan Sun et al.
10110.4Revisiting named entity recognition in food computing: enhancing performance and robustnessArtificial Intelligence Review2024-08-10Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Nanyang Technological UniversityUniversitySingapore7
2The University of SydneyUniversityAustralia5
3Peking UniversityUniversityChina5
4Beijing University of Posts and TelecommunicationsUniversityChina4
5Xidian UniversityUniversityChina4
6Chinese University of Hong KongUniversityHong Kong4
7Huazhong University of Science and TechnologyUniversityChina4
8Beihang UniversityUniversityChina4
9Tsinghua UniversityUniversityChina4
10Chongqing University of Posts and TelecommunicationsUniversityChina3

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1The University of SydneyUniversityAustralia3
2University of Illinois Urbana-ChampaignUniversityUnited States3
3Chinese Academy of SciencesGovernmentChina3
4University of Chinese Academy of SciencesUniversityChina3
5Universitat Autònoma de BarcelonaUniversitySpain2
6Xidian UniversityUniversityChina2
7Hong Kong University of Science and TechnologyUniversityHong Kong2
8Wuhan UniversityUniversityChina2
9Institute of SemiconductorsResearch facilityChina2
10Computer Vision CenterOtherSpain2

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

In OpenAlex#

Sony (Japan) in OpenAlex
ItemValue
TypeCompany
LocationTokyo, Japan
Also known asソニー株式会社
Units listed in OpenAlex9
Works in OpenAlex5,802
Citations340,123
h-index202
i10-index6,200
2-year mean citedness3.23
Websitewww.sony.net
RORror.org/04wzv3n59
Wikidatawww.wikidata.org/wiki/Q41187
OpenAlexopenalex.org/I4210143797
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Advanced Data Storage TechnologiesComputer Science522
2Magnetic properties of thin filmsPhysics and Astronomy485
3Semiconductor materials and devicesEngineering418
4Semiconductor Lasers and Optical DevicesEngineering352
5Semiconductor materials and interfacesPhysics and Astronomy312
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)933,71900.0%
20251325,68143.0%
20241365,78821.5%
20231474,96532.0%
20221374,47642.9%
20211124,55300.0%
2020684,32911.5%
2019554,19500.0%
2018433,95300.0%
2017403,95300.0%

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). Sony (Japan). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/companies/sony-japan

@misc{scholar4ai-companies-sony-japan,
  author = {{Scholar4AI}},
  title = {Sony (Japan)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/sony-japan}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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