---
title: "Amazon reviews: research papers using this data"
description: "From Nov 2023 to Oct 2026, 166 archived papers mentioned Amazon reviews in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2025 (10)."
url: https://scholar4ai.com/datasets/amazon-reviews
markdown_url: https://scholar4ai.com/datasets/amazon-reviews.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 166 archived papers mentioned Amazon reviews in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2025 (10). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Amazon reviews

[Browse dataset profiles](https://scholar4ai.com/datasets/directory.md)

Product and service reviews, ratings, purchases and user-item interactions.

- data category: Online reviews, e-commerce and recommender data
- 1 paper in the last 7 days
- Names searched for: Amazon review, Amazon product review, Amazon dataset

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Online reviews, e-commerce and recommender data datasets: https://scholar4ai.com/datasets/online-reviews-e-commerce-and-recommender-data.md



## Key findings

- From Nov 2023 to Oct 2026, 166 archived papers mentioned Amazon reviews in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2025 (10).
- Amazon reviews was mentioned in 6 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #51 of the 246 datasets mentioned.
- By journal category: AI (4), Marketing (1) and Information Systems (1).
- Most of them appeared in Knowledge-Based Systems (2), Journal of Marketing Analytics (1) and Expert Systems with Applications (1).
- From 2017 to 2026 (so far), Amazon reviews was mentioned in 237 papers in the tracked journals, most of them in AI (157), information systems (32) and management (19).
- 60 of them were published in 2025, against 5 in 2017.
- Since 2023, the institutions with the most of these papers were Zhejiang University (8), Hong Kong University of Science and Technology (4) and Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (4).
- The journals publishing most of them were IEEE Transactions on Knowledge and Data Engineering (24), Knowledge-Based Systems (14) and Expert Systems with Applications (14).
- The most-cited of them is “Autoencoders and their applications in machine learning: a survey” (Artificial Intelligence Review, 2024), with 613 citations.
- Papers use Amazon reviews most often with Yelp (48), Twitter / X (40) and Facebook (20); it has 34 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 42 | 60 | 64 | 166 |

## 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) | 2 | 5 | 6 | 4 | 6 | 6 | 13 | 34 | 46 | 35 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 1 | 1 | 2 | 3 | 2 | 2 | 5 | 5 | 2 | 9 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 1 | 1 | 2 | 2 | 2 | 3 | 6 | 2 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 1 | 2 | 1 | 0 | 1 | 1 | 2 | 3 | 0 | 5 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 1 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 5 | 8 | 10 | 8 | 11 | 11 | 22 | 49 | 60 | 53 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 24 |
| 2 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 14 |
| 3 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 14 |
| 4 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 11 |
| 5 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 8 |
| 6 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 8 |
| 7 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 7 |
| 8 | [Electronic Commerce Research](https://scholar4ai.com/journals/electronic-commerce-research.md) | 7 |
| 9 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 6 |
| 10 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 6 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 8 |
| 2 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 4 |
| 3 | Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" | 4 |
| 4 | Kühne Logistics University | 4 |
| 5 | National Research Council | 4 |
| 6 | [Sichuan University](https://scholar4ai.com/institutions/sichuan-university.md) | 4 |
| 7 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 4 |
| 8 | Agency for Science, Technology and Research | 3 |
| 9 | [Beijing Jiaotong University](https://scholar4ai.com/institutions/beijing-jiaotong-university.md) | 3 |
| 10 | [Erasmus University Rotterdam](https://scholar4ai.com/institutions/erasmus-university-rotterdam.md) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 64 |
| 2 | United States | 39 |
| 3 | India | 16 |
| 4 | Italy | 14 |
| 5 | United Kingdom | 12 |
| 6 | Australia | 11 |
| 7 | Germany | 11 |
| 8 | France | 11 |
| 9 | Canada | 10 |
| 10 | Spain | 9 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | Amazon reviews | 52 |
| 2 | [sentiment analysis](https://scholar4ai.com/keywords/sentiment-analysis.md) | 22 |
| 3 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 19 |
| 4 | [recommender systems](https://scholar4ai.com/keywords/recommender-systems.md) | 17 |
| 5 | online customer reviews | 15 |
| 6 | [online reviews](https://scholar4ai.com/keywords/online-reviews.md) | 15 |
| 7 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 11 |
| 8 | cross-domain recommendation | 10 |
| 9 | data sparsity | 9 |
| 10 | customer reviews | 8 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 613 | 18.5 | [Autoencoders and their applications in machine learning: a survey](https://doi.org/10.1007/s10462-023-10662-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-02-03 | Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al. |
| 2 | 313 | 5.1 | [Creating and detecting fake reviews of online products](https://doi.org/10.1016/j.jretconser.2021.102771) | [Journal of Retailing and Consumer Services](https://scholar4ai.com/journals/journal-of-retailing-and-consumer-services.md) | 2021-09-20 | Joni O. Salminen, Chandra Shekhar Kandpal, Ahmed Mohamed Kamel et al. |
| 3 | 302 | 2.9 | [Explaining and predicting online review helpfulness: The role of content and reviewer-related signals](https://doi.org/10.1016/j.dss.2018.01.004) | [Decision Support Systems](https://scholar4ai.com/journals/decision-support-systems.md) | 2018-02-19 | Michael Siering, Jan Muntermann, Balaji Rajagopalan |
| 4 | 248 | 2.9 | [A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making](https://doi.org/10.1016/j.indmarman.2019.08.003) | [Industrial Marketing Management](https://scholar4ai.com/journals/industrial-marketing-management.md) | 2019-08-22 | Erick Kauffmann, Jesús Peral, David Gil et al. |
| 5 | 177 | 1.6 | [Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis](https://doi.org/10.1109/tkde.2017.2756658) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2017-09-26 | Wei Zhong Zhao, Ziyu Guan, Long Chen et al. |

## Used together with

Papers use Amazon reviews most often with Yelp (48), Twitter / X (40) and Facebook (20); it has 34 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

*What papers use Amazon reviews together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Yelp](https://scholar4ai.com/datasets/yelp.md) | Dataset | 48 | 26.3 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 40 | 1.8 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 20 | 1.3 |
| [MovieLens](https://scholar4ai.com/datasets/movielens.md) | Dataset | 20 | 21.6 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 19 | 2.1 |
| [Hugging Face Hub](https://scholar4ai.com/datasets/hugging-face-hub.md) | Dataset | 17 | 7.3 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 17 | 14.5 |
| [Location and social recommendation data (Gowalla, Foursquare, Yelp…](https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions.md) | Dataset | 17 | 16.4 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 13 | 1.1 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 12 | 2.4 |
| [TripAdvisor](https://scholar4ai.com/datasets/tripadvisor.md) | Dataset | 11 | 5.0 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 10 | 3.5 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning Amazon reviews in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-31 | [From product imagery to review expression: color-based visual aesthetic cues, textual sentiment, and consumer review engagement](https://doi.org/10.1057/s41270-026-00563-2) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | Vahideh Arghashi | Tokyo International University |
| 2026-10-23 | [Relation-aware preference modeling with multimodal fusion for click-through rate prediction](https://doi.org/10.1016/j.eswa.2026.134791) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Aniqa Nawaz, Jianfeng Lu | Nanjing University of Science and Technology |
| 2026-10-19 | [DReX: An explainable deep learning-based multimodal recommendation framework](https://doi.org/10.1016/j.knosys.2026.117184) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Adamya Shyam, Venkateswara Rao Kagita, Bharti Rana et al. | University of Delhi; National Institute of Technology Warangal |
| 2026-10-11 | [LiteSent: a lightweight adaptive multi-scale framework for social media and review-based sentiment classification](https://doi.org/10.1016/j.knosys.2026.117207) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Dharmendra Dangi, Dheeraj Kumar Dixit, Amit Bhagat | Indian Institute of Information Technology Bhopal; Madhav Institute of Technology & Science; Maulana Azad National Institute of Technology |
| 2026-10-08 | [More than words: how discrete emotions and image colorfulness influence the helpfulness of online reviews](https://doi.org/10.1007/s10660-026-10210-8) | [Electronic Commerce Research](https://scholar4ai.com/journals/electronic-commerce-research.md) | Junyi Yang, Xuecong Lu, Mei Yang et al. | McMaster University; State University of New York; University at Albany, State University of New York; … |
| 2026-10-08 | [HAPO: Hierarchical affinity aware propagation for unsupervised graph anomaly detection](https://doi.org/10.1016/j.patcog.2026.115062) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Huahua Ding, Chaofan Dai, Haohao Zhou et al. | National University of Defense Technology |

## Cite this page

Scholar4AI. (2026). Amazon reviews. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/amazon-reviews

```bibtex
@misc{scholar4ai-datasets-amazon-reviews,
  author = {{Scholar4AI}},
  title = {Amazon reviews},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/amazon-reviews}},
  urldate = {2026-11-05},
  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/).