The DOI matches its Crossref record, with a small difference in title or year; 48 of the 50 references it cites were found in a registry or an index.
A caching and spatialK-anonymity driven privacy enhancement scheme in continuous location-based services
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This architecture, also known as a user-centralized architecture [128], assures better privacy than centralized RS, as users actively manage their data during the recommendation process [8].”
From A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research (2024) · cites this paper as [128]
In the citing paper
“Common anonymization methods include k-anonymity, l-diversity, and t-closeness [128, 159, 160].”
From A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research (2024) · cites this paper as [128]
Citations
Cites
1 retracted
Abdel‐Basset, M., Manogaran, G., & Mohamed, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.051 · Cited by 429
RetractedProtecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
Gedik, B., & Liu, L. (2007) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2007.1062 · Cited by 839
Towards an Information Theoretic Metric for Anonymity
Serjantov, A., & Danezis, G. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36467-6_4 · Cited by 669
SLAW: A New Mobility Model for Human Walks
Lee, K., Hong, S., Kim, S. J., Rhee, I., & Chong, S. (2009) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2009.5061995 · Cited by 552
2015 IEEE Conference on Computer Communications (INFOCOM)
(2015) · doi:10.1109/infocom30874.2015 · Cited by 410
Li, X., Ibrahim, M. H., Kumari, S., Sangaiah, A. K., Gupta, V., & Choo, K. R. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.03.013 · Cited by 300
Self-citationWang, T., Zhang, G., Liu, A., Bhuiyan, M. Z. A., & Jin, Q. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2870288 · Cited by 255
Enhancing privacy through caching in location-based services
Niu, B., Li, Q., Zhu, X., Cao, G., & Li, H. (2015) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2015.7218474 · Cited by 238
Qi, L., Zhang, X., Dou, W., & Ni, Q. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2760458 · Cited by 204
Understanding Graph-Based Trust Evaluation in Online Social Networks
Jiang, W., Wang, G., Bhuiyan, M. Z. A., & Wu, J. (2016) · ACM Computing Surveys · doi:10.1145/2906151 · Cited by 196
Self-citation
Flagged first, then by citations
2 of the 50 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Qi, L., Hu, C., Zhang, X., Khosravi, M. R., Sharma, S. K., Pang, S., & Wang, T. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3012157 · Cited by 256
Blockchain Enabled Trust-Based Location Privacy Protection Scheme in VANET
Luo, B., Li, X., Weng, J., Guo, J., & Ma, J. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2957744 · Cited by 167
Self-citationAn Improved Authentication Scheme for Internet of Vehicles Based on Blockchain Technology
Wang, X., Zeng, P., Patterson, N., Jiang, F., & Doss, R. (2019) · IEEE Access · doi:10.1109/access.2019.2909004 · Cited by 142
Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102746 · Cited by 139
Link prediction in paper citation network to construct paper correlation graph
Liu, H., Kou, H., Yan, C., & Qi, L. (2019) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-019-1561-7 · Cited by 135
Metadata
- Authors
- Zhang, S., Li, X., Tan, Z., Peng, T., & Wang, G.
- Affiliations
- Hunan University of Science and Technology (CN)
- Edinburgh Napier University (GB)
- Guangzhou University (CN)
- Corresponding author
- Wang, Guojun
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 94
- Pages
- 40-50
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2900467432
- Cited by
- 163
- References
- 50
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 17 · 2023: 19 · 2022: 28 · 2021: 26 · 2020: 36 · 2019: 29
- FWCI
- 12.88
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Future Generation Computer Systems (publishedVersion)
- Research Output (Edinburgh Napier University) (submittedVersion, cc-by-nc-nd)
- Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China (61632009, 61772194, 61802076)
- Hunan Provincial Education Department of China (16A115)
- Hunan Provincial Natural Science Foundation of China (2017JJ2100, 2018JJ3190, 2018JJ3191)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Data Management and Algorithms
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- location privacy, location-based services, query result caching, multi-level caching, user mobility prediction, Markov model, cache hit rate, data freshness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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