Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Taobao / Tmall / JD.com

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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.

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Names searched for: Taobao, Tmall, JD.com

Key findings#

  • From Nov 2023 to Oct 2026, 213 archived papers mentioned Taobao / Tmall / JD.com in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Mar 2024 (12).
  • Taobao / Tmall / JD.com was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
  • By journal category: AI (2).
  • Most of them appeared in Knowledge and Information Systems (1) and Information Processing & Management (1).
  • From 2017 to 2026 (so far), Taobao / Tmall / JD.com was mentioned in 289 papers in the tracked journals, most of them in information systems (73), AI (62) and operations research (48).
  • 71 of them were published in 2025, against 3 in 2017.
  • Since 2023, the institutions with the most of these papers were Tsinghua University (8), Erasmus University Rotterdam (6) and Southwest Jiaotong University (6).
  • The journals publishing most of them were Electronic Commerce Research (18), IEEE Transactions on Knowledge and Data Engineering (15) and European Journal of Operational Research (12).
  • The most-cited of them is “Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey” (IEEE Transactions on Knowledge and Data Engineering, 2023), with 595 citations.
  • Papers use Taobao / Tmall / JD.com most often with YouTube / TikTok (34), Twitter / X (28) and Facebook (26); it has 30 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
696282213

Papers per year#

2017: 3 papers2018: 14 papers2019: 12 papers2020: 9 papers2021: 9 papers2022: 16 papers2023: 23 papers2024: 65 papers2025: 71 papers2026 (so far): 67 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Information Systems296644891312
AI1021125201515
Operations Research0230225111211
Management01020321178
Economics01001115106
Marketing0010132369
Finance0000010656
Statistics0100000010
Higher Education and Research0000000010
Accounting0000000010
All categories31412991623657167

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China150
2United Kingdom34
3United States30
4Hong Kong16
5Australia14
6Germany13
7Netherlands10
8Canada8
9France8
10Italy7
Keywords with the most papers, since 2023
#KeywordPapers
1JD.com23
2e-commerce20
3Taobao19
4China15
5e-commerce platforms15
6Taobao villages13
7recommender systems12
8live streaming e-commerce10
9consumer trust8
10rural e-commerce8

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 Taobao / Tmall / JD.com most often with YouTube / TikTok (34), Twitter / X (28) and Facebook (26); it has 30 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use Taobao / Tmall / JD.com together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
YouTube / TikTokDataset343.0
Twitter / XDataset281.1
FacebookDataset261.4
YelpDataset167.2
Location and social recommendation data (Gowalla, Foursquare, Yelp…Dataset129.5
MovieLensDataset1210.7
WeiboDataset103.2
National Bureau of Statistics of ChinaDataset88.1
RedditDataset71.9
AirbnbDataset61.3
China Statistical YearbookDataset66.7
CSMARDataset62.3
Papers mentioning Taobao / Tmall / JD.com in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-07Discovering session-level demand patterns for reinforcement learning-based dynamic inventory allocation in live-streaming e-commerceKnowledge and Information SystemsThi-Linh Ho, Hiep Pham, Hoang Quan Dinh et al.Ton Duc Thang University; RMIT Vietnam; HUTECH University; …
2026-10-07Information-aware multi-behavior processing for purchase decision prediction via cascaded graph and hypergraph learningInformation Processing & ManagementQuan Yang, Bin YuHunan Normal University
Cite this page

Scholar4AI. (2026). Taobao / Tmall / JD.com. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/taobao-tmall-jd-com

@misc{scholar4ai-datasets-taobao-tmall-jd-com,
  author = {{Scholar4AI}},
  title = {Taobao / Tmall / JD.com},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/taobao-tmall-jd-com}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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