Hai Liu

73 total papers · 818 total citations
58 papers, 633 citations indexed

About

Hai Liu is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Hai Liu has authored 58 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 21 papers in Electronic, Optical and Magnetic Materials and 15 papers in Biomedical Engineering. Recurrent topics in Hai Liu's work include Advanced Fiber Optic Sensors (24 papers), Photonic Crystal and Fiber Optics (21 papers) and Metamaterials and Metasurfaces Applications (19 papers). Hai Liu is often cited by papers focused on Advanced Fiber Optic Sensors (24 papers), Photonic Crystal and Fiber Optics (21 papers) and Metamaterials and Metasurfaces Applications (19 papers). Hai Liu collaborates with scholars based in China, Singapore and United Kingdom. Hai Liu's co-authors include Chenghao Zhu, Sannyuya Liu, Tingting Liu, Haoran Wang, Zhaoli Zhang, Cong Chen, Yi Ding, Qing Wang, Hongwei Li and Meng Wang and has published in prestigious journals such as Journal of Applied Physics, Applied Energy and IEEE Access.

In The Last Decade

Hai Liu

50 papers receiving 608 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 428 202 131 100 96 58 633
Zhiyi Zhang 398 0.9× 162 0.8× 41 0.3× 118 1.2× 99 1.0× 47 688
Giuseppe Emanuele Lio 159 0.4× 355 1.8× 307 2.3× 141 1.4× 117 1.2× 40 714
Xinyu Cai 155 0.4× 223 1.1× 124 0.9× 68 0.7× 68 0.7× 47 666
Feiliang Chen 354 0.8× 171 0.8× 140 1.1× 95 0.9× 34 0.4× 68 668
Eduardo Fontana 547 1.3× 324 1.6× 59 0.5× 63 0.6× 23 0.2× 73 767
Geng Zhang 274 0.6× 83 0.4× 70 0.5× 79 0.8× 80 0.8× 49 564
Qiang Zhao 321 0.8× 112 0.6× 150 1.1× 263 2.6× 55 0.6× 35 623
Haipeng Zhang 456 1.1× 126 0.6× 81 0.6× 104 1.0× 35 0.4× 74 778
Paweł Kopyt 493 1.2× 170 0.8× 76 0.6× 158 1.6× 139 1.4× 96 652
Hyun‐Tae Kim 392 0.9× 237 1.2× 56 0.4× 170 1.7× 40 0.4× 73 662

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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