Ling Liu

21.5k total citations · 4 hit papers
572 papers, 12.7k citations indexed

About

Ling Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ling Liu has authored 572 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 254 papers in Computer Networks and Communications, 230 papers in Artificial Intelligence and 162 papers in Information Systems. Recurrent topics in Ling Liu's work include Caching and Content Delivery (80 papers), Privacy-Preserving Technologies in Data (74 papers) and Cloud Computing and Resource Management (73 papers). Ling Liu is often cited by papers focused on Caching and Content Delivery (80 papers), Privacy-Preserving Technologies in Data (74 papers) and Cloud Computing and Resource Management (73 papers). Ling Liu collaborates with scholars based in United States, China and South Korea. Ling Liu's co-authors include Buğra Gedik, Rui Zhang, Li Xiong, Calton Pu, Keke Chen, Wenqi Wei, Balaji Palanisamy, Rui Xue, Mudhakar Srivatsa and Aameek Singh and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Ling Liu

536 papers receiving 12.0k citations

Hit Papers

Protecting Location Privacy with Personalized k-Anonymity... 2005 2026 2012 2019 2007 2019 2005 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
    2007 578 citations Buğra Gedik, Ling Liu IEEE Transactions on Mobile Computing profile →
  2. Security and Privacy on Blockchain
    2019 481 citations Rui Zhang, Ling Liu et al. profile →
  3. Location Privacy in Mobile Systems: A Personalized Anonymization Model
    2005 468 citations Buğra Gedik, Ling Liu profile →
  4. LDP-Fed
    2020 263 citations Ling Liu, Wenqi Wei et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling Liu United States 56 6.4k 5.0k 4.0k 2.2k 1.5k 572 12.7k
Jianfeng Ma China 63 7.4k 1.2× 5.9k 1.2× 6.3k 1.6× 978 0.4× 1.8k 1.1× 787 15.3k
Ben Y. Zhao United States 58 4.1k 0.6× 9.9k 2.0× 3.8k 0.9× 1.7k 0.8× 1.2k 0.8× 227 15.5k
Johannes Gehrke United States 60 12.2k 1.9× 6.5k 1.3× 4.9k 1.2× 2.9k 1.3× 2.0k 1.3× 214 20.3k
Yang Xiang Australia 70 8.4k 1.3× 8.3k 1.7× 7.2k 1.8× 1.0k 0.5× 1.4k 0.9× 672 18.1k
Cynthia Dwork United States 46 11.5k 1.8× 3.6k 0.7× 2.1k 0.5× 2.6k 1.2× 883 0.6× 129 16.0k
Quan Z. Sheng Australia 52 4.1k 0.6× 4.2k 0.8× 5.2k 1.3× 512 0.2× 1.9k 1.2× 601 12.4k
Jaideep Srivastava United States 37 3.5k 0.5× 2.8k 0.6× 5.2k 1.3× 1.4k 0.6× 817 0.5× 319 10.3k
Qian Wang China 61 10.6k 1.6× 3.7k 0.7× 7.8k 1.9× 667 0.3× 3.1k 2.0× 623 19.9k
Kian‐Lee Tan Singapore 49 3.5k 0.5× 4.9k 1.0× 2.9k 0.7× 615 0.3× 1.9k 1.2× 392 11.0k
Elisa Bertino United States 71 13.2k 2.0× 8.2k 1.6× 8.3k 2.1× 7.7k 3.5× 1.3k 0.8× 966 21.3k

Countries citing papers authored by Ling Liu

Since Specialization
Citations

This map shows the geographic impact of Ling Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ling Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Liu more than expected).

Fields of papers citing papers by Ling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ling Liu. The network helps show where Ling Liu may publish in the future.

Co-authorship network of co-authors of Ling Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Liu. A scholar is included among the top collaborators of Ling Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Liu. Ling Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhu, Tianyu, Tzuen‐Rong Tzeng, Yongping Duan, et al.. (2025). ChemFM as a scaling law guided foundation model pre-trained on informative chemicals. Communications Chemistry. 9(1). 3–3.
3.
Liu, Tao, et al.. (2024). LAMBERT: Leveraging Attention Mechanisms to Improve the BERT Fine-Tuning Model for Encrypted Traffic Classification. Mathematics. 12(11). 1624–1624. 5 indexed citations
4.
He, Libo, et al.. (2024). An improved face attributes editing method based on DDIM. Scientific Reports. 14(1). 27154–27154.
5.
Liu, Ling, et al.. (2024). Secure Neighbor Discovery as a Service in the Internet of Ships Environment. IEEE Transactions on Services Computing. 17(5). 2807–2821.
6.
Wang, Feng, et al.. (2023). Elastic and electron capture processes in slow He+–He collision. Astronomy and Astrophysics. 674. A201–A201. 2 indexed citations
7.
Liu, Ling, Gang Sun, Xi Chen, et al.. (2023). Topologies in distributed machine learning: Comprehensive survey, recommendations and future directions. Neurocomputing. 567. 127009–127009. 6 indexed citations
8.
Chen, Jie, et al.. (2023). Level and influencing factors of transition shock among new nurses in China: A multicenter cross‐sectional study. Health Science Reports. 6(12). e1758–e1758. 11 indexed citations
9.
Liu, Ling, et al.. (2022). Study on Soil Water and Salt Information Model of Digital Farmland. 18. 123–127.
10.
Wei, Wenqi & Ling Liu. (2021). Gradient Leakage Attack Resilient Deep Learning. IEEE Transactions on Information Forensics and Security. 17. 303–316. 48 indexed citations
11.
Liu, Ling, et al.. (2018). SenseVault: A Three-tier Framework for Securing Mobile Underwater Sensor Networks. IEEE Transactions on Mobile Computing. 17(11). 2632–2645. 17 indexed citations
12.
Zhang, Rui, et al.. (2018). A Decentralizing Attribute-Based Signature for Healthcare Blockchain. 1–9. 84 indexed citations
13.
Palanisamy, Balaji & Ling Liu. (2011). MobiMix: Protecting location privacy with mix-zones over road networks. 494–505. 165 indexed citations
14.
Seshadri, S., et al.. (2008). Enhancing storage system availability on multi-core architectures with recovery-conscious scheduling. File and Storage Technologies. 10. 1 indexed citations
15.
Singh, Aameek, Ling Liu, & Mustaque Ahamad. (2006). Privacy analysis for data sharing in *nix systems. USENIX Annual Technical Conference. 22–22. 2 indexed citations
16.
Zhang, Jianjun, Ling Liu, Calton Pu, & Mostafa Ammar. (2004). Reliable peer-to-peer end system multicasting through replication. 235–242. 11 indexed citations
17.
Srivatsa, Mudhakar, Buğra Gedik, & Ling Liu. (2004). Scaling unstructured peer-to-peer networks with multi-tier capacity-aware overlay topologies. 17–24. 12 indexed citations
18.
Xiong, Li & Ling Liu. (2003). A Reputation-Based Trust Model for Peer-to-Peer eCommerce Communities. 190 indexed citations
19.
Ramaswamy, Lakshmish & Ling Liu. (2003). Free riding: a new challenge to peer-to-peer file sharing systems. 10 pp.–10 pp.. 75 indexed citations
20.
Liu, Ling & Calton Pu. (1996). Issues on Query Processing in Distributed and Interoperable Information Systems.. 70–79. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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