---
title: "ICME (A): papers and universities"
description: "ICME (IEEE International Conference on Multimedia and Expo) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,668 of its papers from 2024–2026 (664 in 2024, 1,004 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from China (1,523), the United States (87) and Hong Kong (64)."
url: https://scholar4ai.com/proceedings/icme
markdown_url: https://scholar4ai.com/proceedings/icme.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ICME (IEEE International Conference on Multimedia and Expo) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,668 of its papers from 2024–2026 (664 in 2024, 1,004 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)
---

# ICME: IEEE International Conference on Multimedia and Expo — papers and institutions, 2024–2026

Papers of ICME, IEEE International Conference on Multimedia and Expo (CORE rank A; field: 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

- ICME (IEEE International Conference on Multimedia and Expo) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,668 of its papers from 2024–2026 (664 in 2024, 1,004 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from China (1,523), the United States (87) and Hong Kong (64).
- The institutions with the most papers are Chinese Academy of Sciences (122), Tsinghua University (88) and Sun Yat-sen University (72).
- Its most-cited paper of these years is “HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection” (2024), with 266 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 664 | 650 |
| 2025 | 1,004 | 985 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4363607799](https://openalex.org/S4363607799) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 122 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 88 |
| 3 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 72 |
| 4 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 66 |
| 5 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 62 |
| 6 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 58 |
| 7 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | 53 |
| 8 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 52 |
| 9 | Beijing University of Posts and Telecommunications | 49 |
| 10 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 49 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 1,523 |
| 2 | United States | 87 |
| 3 | Hong Kong | 64 |
| 4 | Singapore | 59 |
| 5 | United Kingdom | 54 |
| 6 | Australia | 47 |
| 7 | Canada | 25 |
| 8 | Japan | 23 |
| 9 | France | 18 |
| 10 | Macao | 10 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | diffusion models | 82 |
| 2 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 77 |
| 3 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 66 |
| 4 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 49 |
| 5 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 49 |
| 6 | CLIP | 42 |
| 7 | [multimodal fusion](https://scholar4ai.com/keywords/multimodal-fusion.md) | 42 |
| 8 | pseudo-labeling | 36 |
| 9 | attention mechanism | 35 |
| 10 | multimodal large language models | 34 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 266 | [HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection](https://doi.org/10.1109/icme57554.2024.10687431) | 2024-07-15 | Shibiao Xu, Shuchen Zheng, Wenhao Xu et al. |
| 2 | 63 | [CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition](https://doi.org/10.1109/icme57554.2024.10687508) | 2024-07-15 | Hanting Li, Hongjing Niu, Zhaoqing Zhu et al. |
| 3 | 46 | [Bringing Textual Prompt to AI-Generated Image Quality Assessment](https://doi.org/10.1109/icme57554.2024.10688254) | 2024-07-15 | Bowen Qu, Haohui Li, Wei Gao |
| 4 | 35 | [DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning](https://doi.org/10.1109/icme57554.2024.10688140) | 2024-07-15 | Xiaowen Ma, Jiawei Yang, Rui Che et al. |
| 5 | 29 | [NID-SLAM: Neural Implicit Representation-based RGB-D SLAM In Dynamic Environments](https://doi.org/10.1109/icme57554.2024.10687512) | 2024-07-15 | Ziheng Xu, Jianwei Niu, Qingfeng Li et al. |
| 6 | 26 | [Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM](https://doi.org/10.1109/icme57554.2024.10687707) | 2024-07-15 | Hongzhao Li, Hongyu Wang, Xia Sun et al. |
| 7 | 25 | [A Study On Incorporating Whisper For Robust Speech Assessment](https://doi.org/10.1109/icme57554.2024.10688047) | 2024-07-15 | Ryandhimas Edo Zezario, Yu‐Wen Chen, Szu‐Wei Fu et al. |
| 8 | 24 | [Exposing Lip-syncing Deepfakes from Mouth Inconsistencies](https://doi.org/10.1109/icme57554.2024.10687902) | 2024-07-15 | Soumyya Kanti Datta, Shan Jia, Siwei Lyu |
| 9 | 22 | [PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation](https://doi.org/10.1109/icme57554.2024.10687602) | 2024-07-15 | Zhaozhi Xie, Bochen Guan, Weihao Jiang et al. |
| 10 | 22 | [Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection](https://doi.org/10.1109/icme57554.2024.10687791) | 2024-07-15 | Yuhao Gao, Gensheng Pei, Mengmeng Sheng et al. |

## Cite this page

Scholar4AI. (2026). ICME: IEEE International Conference on Multimedia and Expo — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/icme

```bibtex
@misc{scholar4ai-proceedings-icme,
  author = {{Scholar4AI}},
  title = {ICME: IEEE International Conference on Multimedia and Expo — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/icme}},
  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/).