Jin Li

25.2k total citations · 11 hit papers
432 papers, 15.7k citations indexed

About

Jin Li is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jin Li has authored 432 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 233 papers in Artificial Intelligence, 145 papers in Information Systems and 126 papers in Computer Networks and Communications. Recurrent topics in Jin Li's work include Cryptography and Data Security (140 papers), Privacy-Preserving Technologies in Data (107 papers) and Cloud Data Security Solutions (67 papers). Jin Li is often cited by papers focused on Cryptography and Data Security (140 papers), Privacy-Preserving Technologies in Data (107 papers) and Cloud Data Security Solutions (67 papers). Jin Li collaborates with scholars based in China, United States and Hong Kong. Jin Li's co-authors include Wenjing Lou, Xiaofeng Chen, Cong Wang, Kui Ren, Cheng Huang, Qian Wang, Zheli Liu, Yang Xiang, Xiaofeng Chen and Yinghui Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jin Li

401 papers receiving 14.9k citations

Hit Papers

Enabling Public Auditability and Data Dynamics for Storag... 2010 2026 2015 2020 2010 2012 2010 2010 2018 250 500 750

Peers

Jin Li
Comparison fields: 5 of 172
  • Artificial Intelligence 9.2k
  • Information Systems 7.2k
  • Computer Networks and Communications 5.6k
  • Computer Vision and Pattern Recognition 2.2k
  • Signal Processing 1.6k
Replace Jianfeng Ma with:
Jianfeng Ma China
Qian Wang China
Cong Wang China
Kui Ren United States
Michael R. Lyu Hong Kong
Somesh Jha United States
Yang Xiang Australia
Johannes Gehrke United States
Ming-Syan Chen⋆ Taiwan
Sushil Jajodia United States
Jianfeng Ma China View profile →
Citations per field, relative to Jin Li
Jin Li · 1×
Citations per year, relative to Jin Li
Jin Li · 1×

Countries citing papers authored by Jin Li

Since Specialization
Citations

This map shows the geographic impact of Jin Li'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 Jin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Li more than expected).

Fields of papers citing papers by Jin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Li. 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 Jin Li. The network helps show where Jin Li may publish in the future.

Co-authorship network of co-authors of Jin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Li. A scholar is included among the top collaborators of Jin Li 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 Jin Li. Jin Li 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
# Work Indexed citations
1 1
2 0
3 5
4 6
5 3
6 1
7 8
8 10
9 3
10 54
11 18
12 23
13 40
14 46
15 6
16 58
17
A new efficient verifiable fuzzy keyword search scheme
13
18
Primary data deduplication-large scale study and system design
105
19 36
20
Mutualcast: An Efficient Mechanism for Content Distribution in a Peer-to-Peer (P2P) Network
25

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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