ICDE: International Conference on Data Engineering — papers and institutions, 2024–2026

Papers of ICDE, International Conference on Data Engineering (CORE rank A*; field: 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#

ICDE (International Conference on Data Engineering) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,271 of its papers from 2024–2026 (509 in 2024, 406 in 2025, 356 in 2026).
By the countries of the authors' institutions, the most papers come from China (841), the United States (261) and Hong Kong (188).
The institutions with the most papers are Zhejiang University (94), Hong Kong University of Science and Technology (75) and Tsinghua University (72).
Its most-cited paper of these years is “Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation” (2024), with 143 citations.

Papers per year#

ICDE papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	509	497
2025	406	396
2026	356	344

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S4210210321	The conference's proceedings

Who publishes there#

Institutions with the most ICDE papers, 2024–2026
#	Institution	Papers
1	Zhejiang University	94
2	Hong Kong University of Science and Technology	75
3	Tsinghua University	72
4	East China Normal University	66
5	Peking University	60
6	Beijing Institute of Technology	54
7	The Hong Kong University of Science and Technology (Guangzhou)	54
8	Nanyang Technological University	52
9	Shanghai Jiao Tong University	50
10	Harbin Institute of Technology	48

Countries with the most ICDE papers, 2024–2026
#	Country	Papers
1	China	841
2	United States	261
3	Hong Kong	188
4	Australia	114
5	Singapore	98
6	Canada	59
7	Denmark	46
8	Germany	39
9	France	27
10	United Kingdom	26

Keywords with the most ICDE papers, 2024–2026
#	Keyword	Papers
1	large language models	85
2	graph neural networks	66
3	query optimization	37
4	large-scale graphs	34
5	dynamic graphs	32
6	contrastive learning	29
7	NP-hardness	27
8	knowledge graphs	26
9	retrieval-augmented generation	26
10	scalability	26

Most-cited papers#

Most-cited ICDE papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	143	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation	2024-05-13	Bowen Zheng, Yupeng Hou, Hongyu Lu et al.
2	69	A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data	2024-05-13	Miao Hao, Yan Li Zhao, Chenjuan Guo et al.
3	63	CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs	2024-05-13	Hiroyuki Ootomo, Akira Naruse, Corey Nolet et al.
4	57	PURPLE: Making a Large Language Model a Better SQL Writer	2024-05-13	Tonghui Ren, Yuankai Fan, Zhenying He et al.
5	52	Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection	2024-05-13	Yuchen Fang, Jiandong Xie, Yan Li Zhao et al.
6	46	Local-Global History-Aware Contrastive Learning for Temporal Knowledge Graph Reasoning	2024-05-13	Wei Ren Chen, Huaiyu Wan, Yuting Wu et al.
7	44	MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation	2024-05-13	Yunming Liao, Yang Xu, Hongli Xu et al.
8	44	Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration	2024-05-13	Meihao Fan, Xiaoyue Han, Ju Fan et al.
9	41	HeteFedRec: Federated Recommender Systems with Model Heterogeneity	2024-05-13	Wei Yuan, Liang Qu, Lizhen Cui et al.
10	34	Graph Augmentation for Recommendation	2024-05-13	Qianru Zhang, Lianghao Xia, Xuheng Cai et al.

Conferences in the same field#

KDD · WWW · SIGIR · VLDB · SIGMOD · ICDM · PODS · CIKM · ECML PKDD · RecSys · ECIR · WSDM · ICWSM · ICDAR · MSR · SIGSPATIAL · ISWC · SDM · CAiSE · ICDT · ER

Cite this page

Scholar4AI. (2026). ICDE: International Conference on Data Engineering — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/icde

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

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