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

Yelp

Browse dataset profiles

data category: Online reviews, e-commerce and recommender data · 0 papers in the last 7 days

← Most-used data · All Online reviews, e-commerce and recommender data datasets

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

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Names searched for: Yelp

Key findings#

  • From Nov 2023 to Oct 2026, 255 archived papers mentioned Yelp in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (12).
  • Yelp was mentioned in 2 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #133 of the 255 datasets mentioned.
  • By journal category: AI (2).
  • Most of them appeared in Expert Systems with Applications (2).
  • From 2017 to 2026 (so far), Yelp was mentioned in 362 papers in the tracked journals, most of them in AI (174), information systems (54) and tourism and hospitality (37).
  • 91 of them were published in 2025, against 9 in 2017.
  • Since 2023, the institutions with the most of these papers were Harbin Institute of Technology (8), Hong Kong University of Science and Technology (8) and Hong Kong Polytechnic University (6).
  • The journals publishing most of them were IEEE Transactions on Knowledge and Data Engineering (26), Artificial Intelligence Review (17) and Expert Systems with Applications (16).
  • The most-cited of them is “Large language models (LLMs): survey, technical frameworks, and future challenges” (Artificial Intelligence Review, 2024), with 395 citations.
  • Papers use Yelp most often with Twitter / X (72), Facebook (60) and TripAdvisor (51); it has 42 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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
829281255

Papers per year#

2017: 9 papers2018: 15 papers2019: 11 papers2020: 19 papers2021: 18 papers2022: 22 papers2023: 29 papers2024: 80 papers2025: 91 papers2026 (so far): 68 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI565106911395528
Information Systems133357510710
Tourism and Hospitality1424314495
Marketing01002211267
Management0101124464
Economics1001014158
Operations Research0000000824
Finance0000000111
Statistics0010100000
Accounting0000000101
Health Economics and Policy1000000000
All categories9151119182229809168

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China88
2United States60
3United Kingdom35
4Australia25
5Hong Kong19
6Italy17
7Germany16
8Spain15
9Netherlands15
10India14
Keywords with the most papers, since 2023
#KeywordPapers
1online reviews44
2Yelp40
3large language models27
4recommender systems26
5sentiment analysis22
6graph neural networks15
7Yelp reviews12
8review helpfulness12
9user-generated content12
10collaborative filtering10

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Yelp most often with Twitter / X (72), Facebook (60) and TripAdvisor (51); it has 42 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use Yelp together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Twitter / XDataset722.1
FacebookDataset602.6
TripAdvisorDataset5115.1
Amazon reviewsDataset4826.3
YouTube / TikTokDataset453.2
IMDbDataset3821.2
Location and social recommendation data (Gowalla, Foursquare, Yelp…Dataset3220.2
AirbnbDataset294.8
MovieLensDataset2517.7
WikipediaDataset222.8
ImageNetDataset191.1
RedditDataset163.5
Papers mentioning Yelp in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-26Semantic-collaborative alignment with LLM-driven explainable profiling for enhanced recommendationExpert Systems with ApplicationsXuna Wang, Qingmei TanNanjing Forestry University; Nanjing University of Aeronautics and Astronautics
2026-10-15Periodic dynamic adaptive fine-tuning for adversarially robust recommender systemsExpert Systems with ApplicationsCong Q, Wenbin Chen, Hai Chen et al.Tsinghua University; Anhui University; Hong Kong Baptist University
Cite this page

Scholar4AI. (2026). Yelp. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/yelp

@misc{scholar4ai-datasets-yelp,
  author = {{Scholar4AI}},
  title = {Yelp},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/yelp}},
  urldate = {2026-11-04},
  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).