Song Hu

242 total papers · 1.8k total citations
157 papers, 1.2k citations indexed

About

Song Hu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Song Hu has authored 157 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Electrical and Electronic Engineering, 49 papers in Computer Vision and Pattern Recognition and 49 papers in Biomedical Engineering. Recurrent topics in Song Hu's work include Advancements in Photolithography Techniques (38 papers), Optical measurement and interference techniques (37 papers) and Advanced Measurement and Metrology Techniques (24 papers). Song Hu is often cited by papers focused on Advancements in Photolithography Techniques (38 papers), Optical measurement and interference techniques (37 papers) and Advanced Measurement and Metrology Techniques (24 papers). Song Hu collaborates with scholars based in China, United States and Canada. Song Hu's co-authors include Shaolin Zhou, Yan Tang, Yong Yang, Junbo Liu, Yu He, Jiangping Zhu, Zhe Zhu, Junsheng Yu, Liqiang Mai and Yi Zhou and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Materials Chemistry A and Small.

In The Last Decade

Song Hu

139 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Song Hu 653 383 225 211 203 157 1.2k
Chuen‐Lin Tien 751 1.2× 301 0.8× 104 0.5× 131 0.6× 182 0.9× 121 1.3k
Zhenwu Lu 467 0.7× 435 1.1× 77 0.3× 189 0.9× 257 1.3× 65 1.4k
Qun Hao 697 1.1× 436 1.1× 218 1.0× 78 0.4× 164 0.8× 125 1.3k
Zong Qin 430 0.7× 481 1.3× 140 0.6× 152 0.7× 316 1.6× 88 1.1k
Maximino Avendaño‐Alejo 315 0.5× 458 1.2× 182 0.8× 117 0.6× 329 1.6× 84 931
Jinlong Zhu 335 0.5× 355 0.9× 83 0.4× 165 0.8× 234 1.2× 99 937
Wei Jia 569 0.9× 493 1.3× 94 0.4× 452 2.1× 494 2.4× 100 1.3k
Youri Meuret 425 0.7× 489 1.3× 145 0.6× 58 0.3× 266 1.3× 120 1.1k
Patrick Meyrueis 686 1.1× 497 1.3× 75 0.3× 80 0.4× 404 2.0× 105 1.1k
Dapeng Wang 318 0.5× 265 0.7× 68 0.3× 344 1.6× 373 1.8× 91 1.0k

Countries citing papers authored by Song Hu

Since Specialization
Citations

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

Fields of papers citing papers by Song Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Hu

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