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

IJCAI: International Joint Conference on Artificial Intelligence — papers and institutions, 2024–2026

Papers of IJCAI, International Joint Conference on Artificial Intelligence (CORE rank A*; field: Artificial intelligence, Machine learning, Computer vision and multimedia computation), 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#

  • IJCAI (International Joint Conference on Artificial Intelligence) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 3,475 of its papers from 2024–2026 (1,236 in 2024, 1,278 in 2025, 961 in 2026).
  • By the countries of the authors' institutions, the most papers come from China (2,078), the United States (608) and the United Kingdom (232).
  • The institutions with the most papers are Zhejiang University (173), Chinese Academy of Sciences (142) and Tsinghua University (118).
  • Its most-cited paper of these years is “Large Language Model Based Multi-agents: A Survey of Progress and Challenges” (2024), with 343 citations.

Papers per year#

IJCAI papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20241,2361,233
20251,2781,274
2026961955

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4306419999The conference's proceedings

Who publishes there#

Countries with the most IJCAI papers, 2024–2026
#CountryPapers
1China2,078
2United States608
3United Kingdom232
4Hong Kong227
5Australia216
6Germany187
7Singapore187
8France134
9Italy113
10Canada102
Keywords with the most IJCAI papers, 2024–2026
#KeywordPapers
1large language models381
2graph neural networks135
3contrastive learning94
4diffusion models90
5vision-language models71
6explainable AI70
7federated learning67
8self-supervised learning64
9computational complexity62
10interpretability61

Most-cited papers#

Most-cited IJCAI papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1343Large Language Model Based Multi-agents: A Survey of Progress and Challenges2024-07-26Taicheng Guo, Xiuying Chen, Yaqi Wang et al.
262Continual Learning with Pre-Trained Models: A Survey2024-07-26Da-Wei Zhou, Hai-Long Sun, Jingyi Ning et al.
358Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting2024-07-26Haotian Gao, Renhe Jiang, Zheng Dong et al.
456Large Language Models for Time Series: A Survey2024-07-26Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta et al.
547AutoAgents: A Framework for Automatic Agent Generation2024-07-26Guangyao Chen, Siwei Dong, Yu Shu et al.
644Deep Learning for Multivariate Time Series Imputation: A Survey2024-08-01Jun Wang, Wenjie Du, Yiyuan Yang et al.
735Empowering Time Series Analysis with Large Language Models: A Survey2024-07-26Yushan Jiang, Zijie Pan, Xikun Zhang et al.
834RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM2024-07-26Ziying Song, Guoxing Zhang, Lin Liu et al.
933Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning2025-09-01Hao Tang, Shengfeng He, Jing Qin
1032ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition2024-07-26Mengqi Xue, Qihan Huang, Haofei Zhang et al.

Conferences in the same field#

AAAI · NeurIPS · EMNLP · ACL · CVPR · ICRA · ECCV · KDD · ACMMM · ICCV · HRI · SIGGRAPH Asia · EC · SIGGRAPH · ICDM · KR · ICAPS · IROS · MICCAI · WACV · Interspeech · ICME · NAACL · AAMAS · CIKM · ECAI · EACL · ECML PKDD · WSDM · GECCO · SIGSPATIAL · PPSN · MMSys · IJCAR · CP · SAT · CADE · FOGA

Cite this page

Scholar4AI. (2026). IJCAI: International Joint Conference on Artificial Intelligence — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ijcai

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

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