---
title: "ECAI (A): papers and universities"
description: "ECAI (European Conference on Artificial Intelligence) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,302 of its papers from 2024–2026 (606 in 2024, 696 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from China (428), the United States (149) and the United Kingdom (132)."
url: https://scholar4ai.com/proceedings/ecai
markdown_url: https://scholar4ai.com/proceedings/ecai.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ECAI (European Conference on Artificial Intelligence) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,302 of its papers from 2024–2026 (606 in 2024, 696 in 2025; 2026 not in OpenAlex yet). (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)
---

# ECAI: European Conference on Artificial Intelligence — papers and institutions, 2024–2026

Papers of ECAI, European Conference on Artificial Intelligence (CORE rank A; field: Artificial intelligence, Computer vision and multimedia computation, Machine learning), 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

- ECAI (European Conference on Artificial Intelligence) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,302 of its papers from 2024–2026 (606 in 2024, 696 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from China (428), the United States (149) and the United Kingdom (132).
- The institutions with the most papers are Centre National de la Recherche Scientifique (72), Chinese Academy of Sciences (32) and Zhejiang University (26).
- Its most-cited paper of these years is “TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting” (2024), with 131 citations.

## Papers per year

*ECAI papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 606 | 598 |
| 2025 | 696 | 685 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4210201731](https://openalex.org/S4210201731) | Papers of the volumes titled “ECAI <year>” (IOS Press, Frontiers in Artificial Intelligence and Applications), found by DOI through Crossref |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 72 |
| 2 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 32 |
| 3 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 26 |
| 4 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 24 |
| 5 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 22 |
| 6 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 21 |
| 7 | Institut national de recherche en sciences et technologies du numérique | 20 |
| 8 | King's College London | 20 |
| 9 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 19 |
| 10 | [University of Oxford](https://scholar4ai.com/institutions/university-of-oxford.md) | 18 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 428 |
| 2 | United States | 149 |
| 3 | United Kingdom | 132 |
| 4 | Germany | 123 |
| 5 | France | 108 |
| 6 | Italy | 105 |
| 7 | Australia | 64 |
| 8 | Spain | 47 |
| 9 | Netherlands | 40 |
| 10 | India | 38 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 155 |
| 2 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 48 |
| 3 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 42 |
| 4 | computational complexity | 33 |
| 5 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 30 |
| 6 | diffusion models | 29 |
| 7 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 27 |
| 8 | vision transformer | 25 |
| 9 | computational efficiency | 24 |
| 10 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 24 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 131 | [TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting](https://doi.org/10.3233/faia240677) | 2024-10-16 | Md Atik Ahamed, Qiang Shawn Cheng |
| 2 | 105 | [Convolutional Bypasses Are Better Vision Transformer Adapters](https://doi.org/10.3233/faia240489) | 2024-10-16 | Shibo Jie, Zhihong Deng, Shixuan Chen et al. |
| 3 | 68 | [Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory](https://doi.org/10.3233/faia251160) | 2025-10-21 | Prateek Chhikara, Dev Khant, Saket Aryan et al. |
| 4 | 36 | [SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion](https://doi.org/10.3233/faia240524) | 2024-10-16 | Kun Hu, Qingle Zhang, Maoxun Yuan et al. |
| 5 | 24 | [CoTran: An LLM-Based Code Translator Using Reinforcement Learning with Feedback from Compiler and Symbolic Execution](https://doi.org/10.3233/faia240968) | 2024-10-16 | Prithwish Kumar Jana, Piyush Jha, Haoyang Ju et al. |
| 6 | 21 | [LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters](https://doi.org/10.3233/faia251185) | 2025-10-21 | Klaudia Bałazy, Mohammadreza Banaei, Karl Aberer et al. |
| 7 | 19 | [Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems](https://doi.org/10.3233/faia240748) | 2024-10-16 | Yunxiao Shi, Xing Zi, Zijing Shi et al. |
| 8 | 17 | [VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition](https://doi.org/10.3233/faia240664) | 2024-10-16 | Junyi Bian, Weiqi Zhai, Xiaodi Huang et al. |
| 9 | 16 | [GeoSAM: Fine-Tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation](https://doi.org/10.3233/faia250844) | 2025-10-21 | Rafi Ibn Sultan, Chengyin Li, Hui Zhu et al. |
| 10 | 16 | [EdgeNAT: Transformer for Efficient Edge Detection](https://doi.org/10.3233/faia240518) | 2024-10-16 | Jinghuai Jie, Yan Rui Guo, Guixing Wu et al. |

## Cite this page

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

```bibtex
@misc{scholar4ai-proceedings-ecai,
  author = {{Scholar4AI}},
  title = {ECAI: European Conference on Artificial Intelligence — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/ecai}},
  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/).