Ruoxi Song

34 total papers · 728 total citations
30 papers, 530 citations indexed

About

Ruoxi Song is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Ruoxi Song has authored 30 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Media Technology, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Atmospheric Science. Recurrent topics in Ruoxi Song's work include Remote-Sensing Image Classification (23 papers), Advanced Image Fusion Techniques (15 papers) and Remote Sensing and Land Use (14 papers). Ruoxi Song is often cited by papers focused on Remote-Sensing Image Classification (23 papers), Advanced Image Fusion Techniques (15 papers) and Remote Sensing and Land Use (14 papers). Ruoxi Song collaborates with scholars based in China and United States. Ruoxi Song's co-authors include Xianghai Wang, Yining Feng, Chuanming Song, Wei Cheng, Xinying Wang, Xiaoyang Zhao, Lifu Zhang, Changping Huang, Zhi Li and Hanyu Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Information Sciences.

In The Last Decade

Ruoxi Song

29 papers receiving 516 citations

Author Peers

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

Author Last Decade Papers Cites
Ruoxi Song 431 190 169 52 50 30 530
Miaomiao Liang 467 1.1× 145 0.8× 315 1.9× 95 1.8× 52 1.0× 34 596
Erlei Zhang 315 0.7× 181 1.0× 171 1.0× 97 1.9× 37 0.7× 42 514
Yunpeng Bai 318 0.7× 223 1.2× 129 0.8× 80 1.5× 59 1.2× 25 448
Shuguo Jiang 433 1.0× 163 0.9× 195 1.2× 105 2.0× 43 0.9× 11 553
Yongming Li 264 0.6× 134 0.7× 154 0.9× 142 2.7× 79 1.6× 25 518
Xuanwen Tao 301 0.7× 151 0.8× 142 0.8× 72 1.4× 36 0.7× 31 461
Jie Hu 318 0.7× 138 0.7× 210 1.2× 49 0.9× 38 0.8× 30 461
Lei Pan 367 0.9× 174 0.9× 216 1.3× 64 1.2× 35 0.7× 25 518
Erting Pan 352 0.8× 158 0.8× 195 1.2× 41 0.8× 49 1.0× 20 459
Linmi Tao 258 0.6× 262 1.4× 158 0.9× 106 2.0× 40 0.8× 55 576

Countries citing papers authored by Ruoxi Song

Since Specialization
Citations

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

Fields of papers citing papers by Ruoxi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxi Song

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