Hai Liu

82 total papers · 723 total citations
48 papers, 366 citations indexed

About

Hai Liu is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Hai Liu has authored 48 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 20 papers in Sociology and Political Science and 9 papers in Information Systems. Recurrent topics in Hai Liu's work include Privacy-Preserving Technologies in Data (28 papers), Privacy, Security, and Data Protection (17 papers) and Cryptography and Data Security (7 papers). Hai Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (28 papers), Privacy, Security, and Data Protection (17 papers) and Cryptography and Data Security (7 papers). Hai Liu collaborates with scholars based in China, Hong Kong and United States. Hai Liu's co-authors include Xinghua Li, Jianfeng Ma, Paul Hudak, Hui Li, Zhenqiang Wu, Xindi Ma, Kuan‐Ching Li, Meixia Miao, Youliang Tian and Kung‐Sik Chan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Hai Liu

43 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hai Liu 274 97 56 52 37 48 366
Shiwen Zhang 217 0.8× 48 0.5× 48 0.9× 163 3.1× 113 3.1× 32 376
Levente Kocsis 217 0.8× 45 0.5× 20 0.4× 81 1.6× 67 1.8× 24 371
Tao Zhang 340 1.2× 33 0.3× 41 0.7× 156 3.0× 98 2.6× 39 399
Hongtao Li 167 0.6× 38 0.4× 42 0.8× 130 2.5× 116 3.1× 36 342
Sean Chester 168 0.6× 103 1.1× 11 0.2× 41 0.8× 93 2.5× 29 336
Chao Li 232 0.8× 76 0.8× 25 0.4× 199 3.8× 125 3.4× 28 384
Niki Pissinou 114 0.4× 37 0.4× 78 1.4× 128 2.5× 182 4.9× 55 381
Ali Harounabadi 122 0.4× 55 0.6× 23 0.4× 175 3.4× 114 3.1× 70 352
Zhenying He 212 0.8× 70 0.7× 10 0.2× 64 1.2× 114 3.1× 53 363
Vita Santa Barletta 108 0.4× 32 0.3× 77 1.4× 85 1.6× 86 2.3× 39 305

Countries citing papers authored by Hai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Liu. A scholar is included among the top collaborators of Hai 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 Hai Liu. Hai Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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