Jingfu Song

44 total papers · 806 total citations
34 papers, 603 citations indexed

About

Jingfu Song is a scholar working on Mechanics of Materials, Mechanical Engineering and Polymers and Plastics. According to data from OpenAlex, Jingfu Song has authored 34 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanics of Materials, 20 papers in Mechanical Engineering and 17 papers in Polymers and Plastics. Recurrent topics in Jingfu Song's work include Tribology and Wear Analysis (22 papers), Lubricants and Their Additives (14 papers) and Polymer Nanocomposites and Properties (11 papers). Jingfu Song is often cited by papers focused on Tribology and Wear Analysis (22 papers), Lubricants and Their Additives (14 papers) and Polymer Nanocomposites and Properties (11 papers). Jingfu Song collaborates with scholars based in China and Australia. Jingfu Song's co-authors include Gai Zhao, Qingjun Ding, Guoqing Wang, Jinhao Qiu, Yan Deng, Shengyi Dong, Xing Li, Yuanhao Yu, Chuhan Wu and Liangchi Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Membrane Science and Chemical Physics Letters.

In The Last Decade

Jingfu Song

32 papers receiving 590 citations

Author Peers

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

Author Last Decade Papers Cites
Jingfu Song 376 285 215 177 74 34 603
Judith Moosburger‐Will 257 0.7× 415 1.5× 190 0.9× 243 1.4× 45 0.6× 30 678
Keith Redford 159 0.4× 159 0.6× 177 0.8× 140 0.8× 99 1.3× 27 559
Jiawei Yao 279 0.7× 300 1.1× 146 0.7× 214 1.2× 42 0.6× 41 552
J. Bouchet 336 0.9× 321 1.1× 124 0.6× 246 1.4× 67 0.9× 20 616
F. Ramsteiner 232 0.6× 261 0.9× 332 1.5× 140 0.8× 50 0.7× 26 646
S. Bistac 202 0.5× 114 0.4× 150 0.7× 127 0.7× 123 1.7× 29 529
Shinyoung Kaang 189 0.5× 117 0.4× 386 1.8× 110 0.6× 127 1.7× 43 601
Ronald E. Allred 208 0.6× 278 1.0× 158 0.7× 243 1.4× 78 1.1× 50 576
Xianhua Cheng 296 0.8× 307 1.1× 113 0.5× 244 1.4× 49 0.7× 44 542
Hiroki Murase 134 0.4× 247 0.9× 422 2.0× 111 0.6× 91 1.2× 27 616

Countries citing papers authored by Jingfu Song

Since Specialization
Citations

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

Fields of papers citing papers by Jingfu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingfu Song

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