Papers on “privacy preservation”

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Research on “privacy preservation” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.

← Top research keywords · Keyword trends

Key findings#

From 2017 to 2026 (so far), the keyword “privacy preservation” appeared in 926 papers in the tracked journals, most of them in AI (651), information systems (164) and operations research (36).
161 of them were published in 2025, against 27 in 2017.
Since 2023, the institutions with the most of these papers were Xidian University (18), University of Electronic Science and Technology of China (16) and Nanyang Technological University (15).
The journals publishing most of them were Expert Systems with Applications (66), Knowledge-Based Systems (63) and Information Sciences (62).
The most-cited of them is “The privacy paradox – Investigating discrepancies between expressed privacy concerns and actual online behavior – A systematic literature review” (Telematics and Informatics, 2017), with 802 citations.

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	12	22	31	33	44	54	99	110	132	114
Information Systems	12	14	13	22	22	18	15	21	18	9
Operations Research	2	0	4	3	1	4	5	5	3	9
Management	0	4	1	0	3	1	4	6	2	1
Statistics	1	2	0	0	2	2	3	5	2	2
Economics	0	0	0	2	0	2	1	1	4	0
Higher Education and Research	0	2	0	0	0	1	0	2	0	3
Marketing	0	0	0	1	0	0	0	1	0	3
Finance	0	0	0	0	1	0	2	1	0	1
Health Economics and Policy	0	2	1	0	0	0	0	0	0	2
Tourism and Hospitality	0	0	0	0	0	0	0	0	0	1
All categories	27	46	50	61	73	82	129	152	161	145

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Expert Systems with Applications	66
2	Knowledge-Based Systems	63
3	Information Sciences	62
4	Information Fusion	39
5	Computers & Security	29
6	IEEE Transactions on Knowledge and Data Engineering	23
7	IEEE Transactions on Neural Networks and Learning Systems	22
8	Pattern Recognition	21
9	Neural Networks	17
10	Applied Intelligence	16

Institutions with the most papers, since 2023
#	Institution	Papers
1	Xidian University	18
2	University of Electronic Science and Technology of China	16
3	Nanyang Technological University	15
4	Tongji University	14
5	Beihang University	13
6	Southeast University	13
7	University of Technology Sydney	12
8	Harbin Institute of Technology	11
9	National University of Singapore	11
10	Beijing University of Posts and Telecommunications	10

Countries with the most papers, since 2023
#	Country	Papers
1	China	402
2	United States	55
3	Australia	49
4	India	41
5	Hong Kong	28
6	United Kingdom	27
7	Singapore	27
8	South Korea	19
9	Saudi Arabia	18
10	Italy	17

Keywords with the most papers, since 2023
#	Keyword	Papers
1	federated learning	211
2	differential privacy	44
3	non-IID data	42
4	communication efficiency	37
5	blockchain	31
6	data heterogeneity	30
7	homomorphic encryption	24
8	edge computing	22
9	data privacy	20

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	802	7.0	The privacy paradox – Investigating discrepancies between expressed privacy concerns and actual online behavior – A systematic literature review	Telematics and Informatics	2017-04-28	Susanne Barth, Menno D.T. de Jong
2	548	11.5	Privacy and Robustness in Federated Learning: Attacks and Defenses	IEEE Transactions on Neural Networks and Learning Systems	2022-11-10	Lingjuan Lyu, Han Yu, Xingjun Ma et al.
3	355	4.4	Driver behavior detection and classification using deep convolutional neural networks	Expert Systems with Applications	2020-01-23	Mohammad Shahverdy, Mahmood Fathy, Reza Berangi et al.
4	252	4.0	A federated learning system with enhanced feature extraction for human activity recognition	Knowledge-Based Systems	2021-07-28	Zhiwen Xiao, Xin Xu, Huanlai Xing et al.
5	230	2.4	A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion	Information Fusion	2018-12-04	Wenxiu Ding, Xuyang Jing, Zheng Yan et al.

Cite this page

Scholar4AI. (2026). Papers on “privacy preservation”. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/keywords/privacy-preservation

@misc{scholar4ai-keywords-privacy-preservation,
  author = {{Scholar4AI}},
  title = {Papers on “privacy preservation”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/privacy-preservation}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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