---
title: "Sony (Japan): research papers, co-authors and journals"
description: "Historical profile (data snapshot 2026-11-04). 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."
url: https://scholar4ai.com/companies/sony-japan
markdown_url: https://scholar4ai.com/companies/sony-japan.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Historical profile (data snapshot 2026-11-04). 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."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# Sony (Japan)

[Browse company research profiles](https://scholar4ai.com/companies/directory/page/3.md)

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.

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.

Back to the ranking: https://scholar4ai.com/rankings/companies.md

## 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

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 2 | 4 | 0 |
| All categories | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 2 | 4 | 0 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| 2 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2 |
| 3 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| 4 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| 6 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 |
| 7 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 1 |
| 2 | Commonwealth Scientific and Industrial Research Organisation | 1 |
| 3 | Computer Vision Laboratory | 1 |
| 4 | Data61 | 1 |
| 5 | [ETH Zurich](https://scholar4ai.com/institutions/eth-zurich.md) | 1 |
| 6 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 1 |
| 7 | [Korea University](https://scholar4ai.com/institutions/korea-university.md) | 1 |
| 8 | [Microsoft Research Asia (China)](https://scholar4ai.com/companies/microsoft-research-asia-china.md) | 1 |
| 9 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | Japan | 9 |
| 2 | China | 3 |
| 3 | Taiwan | 2 |
| 4 | United States | 2 |
| 5 | Australia | 1 |
| 6 | Switzerland | 1 |
| 7 | Hong Kong | 1 |
| 8 | South Korea | 1 |
| 9 | Singapore | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 3 |
| 2 | [catastrophic forgetting](https://scholar4ai.com/keywords/catastrophic-forgetting.md) | 2 |
| 3 | class-incremental learning | 2 |
| 4 | continual learning | 2 |
| 5 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 2 |
| 6 | 3D object recognition | 1 |
| 7 | [ChatGPT](https://scholar4ai.com/keywords/chatgpt.md) | 1 |
| 8 | Gaussian mixture model | 1 |
| 9 | adversarial defense | 1 |
| 10 | adversarial prompts | 1 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 548 | 11.5 | [Privacy and Robustness in Federated Learning: Attacks and Defenses](https://doi.org/10.1109/tnnls.2022.3216981) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2022-11-10 | Lingjuan Lyu, Han Yu, Xingjun Ma et al. |
| 2 | 219 | 2.9 | [Origami-inspired miniature manipulator for teleoperated microsurgery](https://doi.org/10.1038/s42256-020-0203-4) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2020-07-27 | Hiroyuki Suzuki, Robert J. Wood |
| 3 | 152 | 4.4 | [Defending ChatGPT against jailbreak attack via self-reminders](https://doi.org/10.1038/s42256-023-00765-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2023-12-12 | Yueqi Xie, Jingwei Yi, Jiawei Shao et al. |
| 4 | 54 | 0.9 | [Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision](https://doi.org/10.1007/s11263-021-01547-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2022-01-04 | Andrew Shin, Masato Ishii, Takuya Narihira |
| 5 | 23 | 1.0 | [A survey on self-supervised learning for non-sequential tabular data](https://doi.org/10.1007/s10994-024-06674-0) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2025-01-01 | Wei‐Yao Wang, Weiwei Du, Derek Xu et al. |
| 6 | 20 | 0.4 | [Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning](https://doi.org/10.1109/tkde.2022.3150272) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2022-02-12 | Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu et al. |
| 7 | 17 | 1.0 | [SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices](https://doi.org/10.1109/tnnls.2025.3565827) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2025-05-16 | Zhengyi Zhong, Weidong Bao, Ji Wang et al. |
| 8 | 13 | 0.3 | [KitchenScale: Learning to predict ingredient quantities from recipe contexts](https://doi.org/10.1016/j.eswa.2023.120041) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-04-06 | Donghee Choi, Mogan Gim, Samy Badreddine et al. |
| 9 | 12 | 0.3 | [InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation](https://doi.org/10.1109/tnnls.2023.3247490) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2023-02-27 | Jiahua Dong, Yang Cong, Gan Sun et al. |
| 10 | 11 | 0.4 | [Revisiting named entity recognition in food computing: enhancing performance and robustness](https://doi.org/10.1007/s10462-024-10834-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-08-10 | Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold |

## Who cites its research

*Institutions whose papers cite it most, since 2023*

| # | Institution | Kind | Country | Links |
|---:|---|---|---|---:|
| 1 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | University | Singapore | 7 |
| 2 | [The University of Sydney](https://scholar4ai.com/institutions/the-university-of-sydney.md) | University | Australia | 5 |
| 3 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | University | China | 5 |
| 4 | [Beijing University of Posts and Telecommunications](https://scholar4ai.com/institutions/beijing-university-of-posts-and-telecommunications.md) | University | China | 4 |
| 5 | [Xidian University](https://scholar4ai.com/institutions/xidian-university.md) | University | China | 4 |
| 6 | [Chinese University of Hong Kong](https://scholar4ai.com/institutions/chinese-university-of-hong-kong.md) | University | Hong Kong | 4 |
| 7 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | University | China | 4 |
| 8 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | University | China | 4 |
| 9 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | University | China | 4 |
| 10 | [Chongqing University of Posts and Telecommunications](https://scholar4ai.com/institutions/chongqing-university-of-posts-and-telecommunications.md) | University | China | 3 |

## What its papers cite

*Institutions its papers cite most, since 2023*

| # | Institution | Kind | Country | Links |
|---:|---|---|---|---:|
| 1 | [The University of Sydney](https://scholar4ai.com/institutions/the-university-of-sydney.md) | University | Australia | 3 |
| 2 | [University of Illinois Urbana-Champaign](https://scholar4ai.com/institutions/university-of-illinois-urbana-champaign.md) | University | United States | 3 |
| 3 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | Government | China | 3 |
| 4 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | University | China | 3 |
| 5 | Universitat Autònoma de Barcelona | University | Spain | 2 |
| 6 | [Xidian University](https://scholar4ai.com/institutions/xidian-university.md) | University | China | 2 |
| 7 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | University | Hong Kong | 2 |
| 8 | [Wuhan University](https://scholar4ai.com/institutions/wuhan-university.md) | University | China | 2 |
| 9 | Institute of Semiconductors | Research facility | China | 2 |
| 10 | Computer Vision Center | Other | Spain | 2 |

More: https://scholar4ai.com/corporate-citations.md · https://scholar4ai.com/industry-university.md

## In OpenAlex

*Sony (Japan) in OpenAlex*

| Item | Value |
|---|---|
| Type | Company |
| Location | Tokyo, Japan |
| Also known as | ソニー株式会社 |
| Units listed in OpenAlex | 9 |
| Works in OpenAlex | 5,802 |
| Citations | 340,123 |
| h-index | 202 |
| i10-index | 6,200 |
| 2-year mean citedness | 3.23 |
| Website | [www.sony.net](http://www.sony.net/) |
| ROR | [ror.org/04wzv3n59](https://ror.org/04wzv3n59) |
| Wikidata | [www.wikidata.org/wiki/Q41187](https://www.wikidata.org/wiki/Q41187) |
| OpenAlex | [openalex.org/I4210143797](https://openalex.org/I4210143797) |

*Works and citations per year in OpenAlex, and its papers in the tracked journals*

| Year | Works in OpenAlex | Citations received | In the tracked journals | Share |
|---|---:|---:|---:|---:|
| 2026 (so far) | 93 | 3,719 | 0 | 0.0% |
| 2025 | 132 | 5,681 | 4 | 3.0% |
| 2024 | 136 | 5,788 | 2 | 1.5% |
| 2023 | 147 | 4,965 | 3 | 2.0% |
| 2022 | 137 | 4,476 | 4 | 2.9% |
| 2021 | 112 | 4,553 | 0 | 0.0% |
| 2020 | 68 | 4,329 | 1 | 1.5% |
| 2019 | 55 | 4,195 | 0 | 0.0% |
| 2018 | 43 | 3,953 | 0 | 0.0% |
| 2017 | 40 | 3,953 | 0 | 0.0% |

*Main research topics (OpenAlex, all works)*

| # | Topic | Field | Works |
|---:|---|---|---:|
| 1 | Advanced Data Storage Technologies | Computer Science | 522 |
| 2 | Magnetic properties of thin films | Physics and Astronomy | 485 |
| 3 | Semiconductor materials and devices | Engineering | 418 |
| 4 | Semiconductor Lasers and Optical Devices | Engineering | 352 |
| 5 | Semiconductor materials and interfaces | Physics and Astronomy | 312 |

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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).