---
title: "IJCAI (A*): papers and universities"
description: "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)."
url: https://scholar4ai.com/proceedings/ijcai
markdown_url: https://scholar4ai.com/proceedings/ijcai.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# 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.

All conferences: https://scholar4ai.com/proceedings.md

## 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)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 1,236 | 1,233 |
| 2025 | 1,278 | 1,274 |
| 2026 | 961 | 955 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306419999](https://openalex.org/S4306419999) | The conference's proceedings |

## Who publishes there

*Institutions with the most IJCAI papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 173 |
| 2 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 142 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 118 |
| 4 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 106 |
| 5 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 97 |
| 6 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 94 |
| 7 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 89 |
| 8 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 78 |
| 9 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 75 |
| 10 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 74 |

*Countries with the most IJCAI papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 2,078 |
| 2 | United States | 608 |
| 3 | United Kingdom | 232 |
| 4 | Hong Kong | 227 |
| 5 | Australia | 216 |
| 6 | Germany | 187 |
| 7 | Singapore | 187 |
| 8 | France | 134 |
| 9 | Italy | 113 |
| 10 | Canada | 102 |

*Keywords with the most IJCAI papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 381 |
| 2 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 135 |
| 3 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 94 |
| 4 | diffusion models | 90 |
| 5 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 71 |
| 6 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 70 |
| 7 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 67 |
| 8 | self-supervised learning | 64 |
| 9 | computational complexity | 62 |
| 10 | interpretability | 61 |

## Most-cited papers

*Most-cited IJCAI papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 343 | [Large Language Model Based Multi-agents: A Survey of Progress and Challenges](https://doi.org/10.24963/ijcai.2024/890) | 2024-07-26 | Taicheng Guo, Xiuying Chen, Yaqi Wang et al. |
| 2 | 62 | [Continual Learning with Pre-Trained Models: A Survey](https://doi.org/10.24963/ijcai.2024/924) | 2024-07-26 | Da-Wei Zhou, Hai-Long Sun, Jingyi Ning et al. |
| 3 | 58 | [Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting](https://doi.org/10.24963/ijcai.2024/442) | 2024-07-26 | Haotian Gao, Renhe Jiang, Zheng Dong et al. |
| 4 | 56 | [Large Language Models for Time Series: A Survey](https://doi.org/10.24963/ijcai.2024/921) | 2024-07-26 | Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta et al. |
| 5 | 47 | [AutoAgents: A Framework for Automatic Agent Generation](https://doi.org/10.24963/ijcai.2024/3) | 2024-07-26 | Guangyao Chen, Siwei Dong, Yu Shu et al. |
| 6 | 44 | [Deep Learning for Multivariate Time Series Imputation: A Survey](https://doi.org/10.24963/ijcai.2024/1187) | 2024-08-01 | Jun Wang, Wenjie Du, Yiyuan Yang et al. |
| 7 | 35 | [Empowering Time Series Analysis with Large Language Models: A Survey](https://doi.org/10.24963/ijcai.2024/895) | 2024-07-26 | Yushan Jiang, Zijie Pan, Xikun Zhang et al. |
| 8 | 34 | [RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM](https://doi.org/10.24963/ijcai.2024/141) | 2024-07-26 | Ziying Song, Guoxing Zhang, Lin Liu et al. |
| 9 | 33 | [Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning](https://doi.org/10.24963/ijcai.2025/693) | 2025-09-01 | Hao Tang, Shengfeng He, Jing Qin |
| 10 | 32 | [ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition](https://doi.org/10.24963/ijcai.2024/168) | 2024-07-26 | Mengqi Xue, Qihan Huang, Haofei Zhang et al. |

## 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).