Papers on “generative adversarial networks”
Research on “generative adversarial networks” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.
← Top research keywords · Keyword trends
Key findings#
- From 2017 to 2026 (so far), the keyword “generative adversarial networks” appeared in 1,517 papers in the tracked journals, most of them in AI (1,423), operations research (41) and information systems (19).
- 248 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (23), South China University of Technology (18) and University of Chinese Academy of Sciences (17).
- The journals publishing most of them were Expert Systems with Applications (151), Knowledge-Based Systems (86) and Neural Computing and Applications (77).
- The most-cited of them is “A survey on Image Data Augmentation for Deep Learning” (Journal Of Big Data, 2019), with 13,151 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 1 | 21 | 69 | 126 | 177 | 255 | 207 | 206 | 222 | 139 |
| Operations Research | 0 | 0 | 2 | 3 | 1 | 3 | 5 | 12 | 11 | 4 |
| Information Systems | 0 | 0 | 0 | 1 | 3 | 5 | 2 | 2 | 4 | 2 |
| Finance | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 3 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 1 |
| Economics | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 2 | 1 |
| Higher Education and Research | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 1 | 1 |
| Management | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| Tourism and Hospitality | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 1 | 21 | 72 | 133 | 183 | 263 | 217 | 227 | 248 | 152 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 151 |
| 2 | Knowledge-Based Systems | 86 |
| 3 | Neural Computing and Applications | 77 |
| 4 | Pattern Recognition | 66 |
| 5 | Applied Intelligence | 61 |
| 6 | Neural Networks | 45 |
| 7 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 41 |
| 8 | Artificial Intelligence Review | 38 |
| 9 | Information Fusion | 36 |
| 10 | IEEE Transactions on Artificial Intelligence | 31 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 23 |
| 2 | South China University of Technology | 18 |
| 3 | University of Chinese Academy of Sciences | 17 |
| 4 | Wuhan University | 16 |
| 5 | Zhejiang University | 16 |
| 6 | Sun Yat-sen University | 15 |
| 7 | University of Electronic Science and Technology of China | 15 |
| 8 | Harbin Institute of Technology | 14 |
| 9 | Tsinghua University | 14 |
| 10 | Xidian University | 14 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 483 |
| 2 | United States | 84 |
| 3 | India | 67 |
| 4 | United Kingdom | 65 |
| 5 | South Korea | 55 |
| 6 | Australia | 43 |
| 7 | Hong Kong | 38 |
| 8 | Saudi Arabia | 30 |
| 9 | Singapore | 23 |
| 10 | Japan | 22 |
| # | Keyword | Papers |
|---|---|---|
| 1 | data augmentation | 85 |
| 2 | class imbalance | 66 |
| 3 | synthetic data generation | 48 |
| 4 | diffusion models | 46 |
| 5 | variational autoencoder | 43 |
| 6 | mode collapse | 41 |
| 7 | convolutional neural networks | 38 |
| 8 | image generation | 35 |
| 9 | data scarcity | 28 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 13,151 | 149.5 | A survey on Image Data Augmentation for Deep Learning | Journal Of Big Data | 2019-07-06 | Connor Shorten, Taghi M. Khoshgoftaar |
| 2 | 3,797 | 54.2 | Image Segmentation Using Deep Learning: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2021-01-01 | Shervin Minaee, Yuri Y. Boykov, Fatih Porikli et al. |
| 3 | 2,296 | 23.4 | FusionGAN: A generative adversarial network for infrared and visible image fusion | Information Fusion | 2018-09-05 | Jiayi Ma, Wei Yu, Pengwei Liang et al. |
| 4 | 1,913 | 44.2 | Diffusion Models in Vision: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2023-03-27 | Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu et al. |
| 5 | 1,236 | 16.2 | Deepfakes and beyond: A Survey of face manipulation and fake detection | Information Fusion | 2020-07-01 | Rubén Tolosana, Rubén Vera-Rodríguez, Julián Fiérrez et al. |
Cite this page
Scholar4AI. (2026). Papers on “generative adversarial networks”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/generative-adversarial-networks
@misc{scholar4ai-keywords-generative-adversarial-networks,
author = {{Scholar4AI}},
title = {Papers on “generative adversarial networks”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/generative-adversarial-networks}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}