Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

WWW: International World Wide Web Conference — papers and institutions, 2024–2026

Papers of WWW, International World Wide Web Conference (CORE rank A*; field: Distributed computing and systems software, Data management and data science), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • WWW (International World Wide Web Conference) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,725 of its papers from 2024–2026 (786 in 2024, 979 in 2025, 960 in 2026).
  • By the countries of the authors' institutions, the most papers come from China (1,469), the United States (647) and Australia (349).
  • The institutions with the most papers are Zhejiang University (131), Tsinghua University (130) and University of Science and Technology of China (113).
  • Its most-cited paper of these years is “Representation Learning with Large Language Models for Recommendation” (2024), with 244 citations.

Papers per year#

WWW papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
2024786776
2025979964
2026960946

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407088480The conference's proceedings

Who publishes there#

Institutions with the most WWW papers, 2024–2026
#InstitutionPapers
1Zhejiang University131
2Tsinghua University130
3University of Science and Technology of China113
4Chinese Academy of Sciences109
5National University of Singapore86
6University of Chinese Academy of Sciences74
7Renmin University of China73
8Peking University72
9The Hong Kong University of Science and Technology (Guangzhou)72
10Alibaba Group (China)69
Countries with the most WWW papers, 2024–2026
#CountryPapers
1China1,469
2United States647
3Australia349
4Singapore200
5Hong Kong193
6United Kingdom142
7Germany104
8South Korea104
9Canada63
10India62
Keywords with the most WWW papers, 2024–2026
#KeywordPapers
1large language models584
2graph neural networks192
3recommender systems174
4retrieval-augmented generation100
5contrastive learning77
6federated learning60
7social media59
8knowledge graphs54
9personalized recommendation46
10diffusion models45

Most-cited papers#

Most-cited WWW papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1244Representation Learning with Large Language Models for Recommendation2024-05-08Xubin Ren, Wei Wei, Lianghao Xia et al.
2176A Multifaceted Look at Starlink Performance2024-05-08Nitinder Mohan, Andrew E. Ferguson, Hendrik L. Cech et al.
3176MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models2024-05-08Kailai Yang, Tianlin Zhang, Ziyan Kuang et al.
4144Is Cosine-Similarity of Embeddings Really About Similarity?2024-05-12Harald Steck, Chaitanya Ekanadham, Nathan Kallus
5118MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot2025-04-22Xuejiao Zhao, Siyan Liu, Su-Yin Yang et al.
6115UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting2024-05-08Xu Liu, Junfeng Hu, Yuan Li et al.
7107Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective2024-05-08Zexin Wang, Changhua Pei, Minghua Ma et al.
8107Collaborative Large Language Model for Recommender Systems2024-05-08Yaochen Zhu, Liang Wu, Qi Sheng Guo et al.
994AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems2024-05-08Junjie Zhang, Yupeng Hou, Ruobing Xie et al.
1081Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries2024-05-08Yiqiao Jin, Mohit Chandra, Gaurav Verma et al.

Conferences in the same field#

KDD · SIGIR · VLDB · ICDE · INFOCOM · SIGMOD · MobiCom · ASPLOS · ISCA · SIGCOMM · HPCA · ICDM · PODC · SOSP · PerCom · PODS · CIKM · SC · ECML PKDD · RecSys · ECIR · WSDM · ICWSM · ICWS · ICDAR · ICDCS · MSR · MobiSys · IPDPS · SIGSPATIAL · EuroSys · IMC · ICS · ICCAD · DSN · ISWC · HPDC · SDM · MMSys · ICSOC · RTAS · MSWIM · CoNEXT · RTSS · CAiSE · DISC · Middleware · ICDT · ER · HotOS

Cite this page

Scholar4AI. (2026). WWW: International World Wide Web Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/www

@misc{scholar4ai-proceedings-www,
  author = {{Scholar4AI}},
  title = {WWW: International World Wide Web Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/www}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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