Hai Liu

70 total papers · 1.2k total citations
48 papers, 850 citations indexed

About

Hai Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hai Liu has authored 48 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Hai Liu's work include Spectroscopy and Chemometric Analyses (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Online Learning and Analytics (5 papers). Hai Liu is often cited by papers focused on Spectroscopy and Chemometric Analyses (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Online Learning and Analytics (5 papers). Hai Liu collaborates with scholars based in China, Hong Kong and United States. Hai Liu's co-authors include Xiaohua Jia, Zhaoli Zhang, Peng‐Jun Wan, Sannyuya Liu, Deying Li, Jianwen Sun, Youfu Li, Jiangbo Shu, Luxin Yan and Tingting Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Hai Liu

45 papers receiving 819 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 287 253 148 115 113 48 850
Tao Huang 131 0.5× 238 0.9× 50 0.3× 31 0.3× 363 3.2× 87 992
Surbhi Gupta 136 0.5× 292 1.2× 77 0.5× 11 0.1× 131 1.2× 38 743
Hao Fang 484 1.7× 378 1.5× 161 1.1× 13 0.1× 131 1.2× 55 1.0k
Sultan Almotairi 125 0.4× 228 0.9× 83 0.6× 10 0.1× 256 2.3× 57 840
Jianwen Sun 60 0.2× 102 0.4× 29 0.2× 49 0.4× 353 3.1× 71 744
Christos Kyrkou 131 0.5× 462 1.8× 229 1.5× 16 0.1× 187 1.7× 52 838
R. Sukanesh 78 0.3× 401 1.6× 135 0.9× 15 0.1× 186 1.6× 71 870
Lin Wei 167 0.6× 169 0.7× 79 0.5× 13 0.1× 288 2.5× 62 734
Lin Yang 267 0.9× 177 0.7× 74 0.5× 9 0.1× 138 1.2× 56 856
Muhammad Uzair 45 0.2× 446 1.8× 67 0.5× 12 0.1× 231 2.0× 54 992

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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