Baoyu Song

72 total papers · 1.0k total citations
48 papers, 780 citations indexed

About

Baoyu Song is a scholar working on Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Baoyu Song has authored 48 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 17 papers in Mechanics of Materials and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Baoyu Song's work include Tribology and Wear Analysis (12 papers), Lubricants and Their Additives (10 papers) and Advanced Sensor and Control Systems (4 papers). Baoyu Song is often cited by papers focused on Tribology and Wear Analysis (12 papers), Lubricants and Their Additives (10 papers) and Advanced Sensor and Control Systems (4 papers). Baoyu Song collaborates with scholars based in China, United States and Taiwan. Baoyu Song's co-authors include Le Gu, Zhijie Xie, Tianyi Sui, Feng Zhang, Qingxiang Yang, Jianfeng Wang, Yiqun Liu, Liqin Wang, Na Yang and Haonan Sun and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and Journal of Materials Science.

In The Last Decade

Baoyu Song

47 papers receiving 760 citations

Author Peers

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

Author Last Decade Papers Cites
Baoyu Song 531 367 166 130 99 48 780
E. Marotta 362 0.7× 305 0.8× 249 1.5× 61 0.5× 148 1.5× 47 718
Xiaoyu Ding 413 0.8× 280 0.8× 87 0.5× 81 0.6× 240 2.4× 47 893
Jian Geng 383 0.7× 300 0.8× 132 0.8× 151 1.2× 117 1.2× 41 699
Zhenyu Han 459 0.9× 233 0.6× 107 0.6× 139 1.1× 129 1.3× 75 818
Tong Liu 403 0.8× 119 0.3× 262 1.6× 163 1.3× 104 1.1× 66 867
Hongjia Zhang 401 0.8× 212 0.6× 202 1.2× 237 1.8× 71 0.7× 38 813
Samrand Rash Ahmadi 329 0.6× 294 0.8× 176 1.1× 162 1.2× 133 1.3× 41 707
Liangjin Gui 516 1.0× 307 0.8× 291 1.8× 52 0.4× 154 1.6× 37 874
Youxi Lin 283 0.5× 182 0.5× 108 0.7× 129 1.0× 121 1.2× 72 709
Jow‐Lian Ding 337 0.6× 343 0.9× 453 2.7× 153 1.2× 86 0.9× 51 895

Countries citing papers authored by Baoyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Baoyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyu Song

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