Han Song

74 total papers · 1.5k total citations
47 papers, 1.1k citations indexed

About

Han Song is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Han Song has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 12 papers in Mechanical Engineering. Recurrent topics in Han Song's work include Advanced Fiber Optic Sensors (25 papers), Photonic and Optical Devices (13 papers) and Gas Sensing Nanomaterials and Sensors (10 papers). Han Song is often cited by papers focused on Advanced Fiber Optic Sensors (25 papers), Photonic and Optical Devices (13 papers) and Gas Sensing Nanomaterials and Sensors (10 papers). Han Song collaborates with scholars based in China, Australia and Singapore. Han Song's co-authors include Mingyao Liu, Zude Zhou, Qin Wei, Zechao Wang, Ka‐Veng Yuen, Shing Shin Cheng, Wang‐Ji Yan, Youping Chen, Yi Liu and Pengcheng Huang and has published in prestigious journals such as Scientific Reports, International Journal of Heat and Mass Transfer and IEEE Access.

In The Last Decade

Han Song

43 papers receiving 1.1k citations

Hit Papers

A Model-Driven Scheme to ... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Han Song 586 267 211 197 127 47 1.1k
Mingyao Liu 653 1.1× 213 0.8× 332 1.6× 281 1.4× 33 0.3× 60 1.4k
Joan Carletta 462 0.8× 462 1.7× 242 1.1× 163 0.8× 94 0.7× 78 1.3k
William J. Fleming 600 1.0× 301 1.1× 167 0.8× 103 0.5× 190 1.5× 39 1.1k
Jiafeng Yao 858 1.5× 563 2.1× 256 1.2× 224 1.1× 69 0.5× 104 1.4k
P.P.L. Regtien 731 1.2× 333 1.2× 134 0.6× 150 0.8× 95 0.7× 55 1.2k
Robert N. Dean 781 1.3× 328 1.2× 131 0.6× 81 0.4× 70 0.6× 127 1.2k
G. Brasseur 628 1.1× 170 0.6× 204 1.0× 151 0.8× 42 0.3× 54 1.0k
Ming Ren 786 1.3× 124 0.5× 117 0.6× 156 0.8× 61 0.5× 104 1.1k
Simone Corbellini 301 0.5× 358 1.3× 123 0.6× 45 0.2× 72 0.6× 74 997
Lei Fu 604 1.0× 134 0.5× 289 1.4× 353 1.8× 25 0.2× 78 1.3k

Countries citing papers authored by Han Song

Since Specialization
Citations

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

Fields of papers citing papers by Han Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Song

This figure shows the co-authorship network connecting the top 25 collaborators of Han Song. A scholar is included among the top collaborators of Han Song 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 Han Song. Han Song 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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