Cancan Song

57 total papers · 599 total citations
47 papers, 399 citations indexed

About

Cancan Song is a scholar working on Plant Science, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Cancan Song has authored 47 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 11 papers in Civil and Structural Engineering and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Cancan Song's work include Plant Surface Properties and Treatments (9 papers), Traffic and Road Safety (9 papers) and Smart Agriculture and AI (7 papers). Cancan Song is often cited by papers focused on Plant Surface Properties and Treatments (9 papers), Traffic and Road Safety (9 papers) and Smart Agriculture and AI (7 papers). Cancan Song collaborates with scholars based in China, United States and Pakistan. Cancan Song's co-authors include Fanyu Meng, Zhongyin Guo, Yubin Lan, N.N. Sze, Zhiyan Zhou, Yiping Zeng, Tiantian Chen, Guobin Wang, Xiwen Luo and Yu Zang and has published in prestigious journals such as Construction and Building Materials, IEEE Access and Frontiers in Plant Science.

In The Last Decade

Cancan Song

43 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Cancan Song 156 131 58 58 50 47 399
Milhan Moomen 24 0.2× 256 2.0× 143 2.5× 83 1.4× 71 1.4× 28 357
Hongwu Huang 23 0.1× 130 1.0× 71 1.2× 16 0.3× 17 0.3× 52 352
Neal Hawkins 29 0.2× 230 1.8× 119 2.1× 70 1.2× 77 1.5× 65 368
Gyanendra Singh 59 0.4× 104 0.8× 163 2.8× 24 0.4× 168 3.4× 62 422
Md Nasim Khan 12 0.1× 241 1.8× 48 0.8× 29 0.5× 148 3.0× 26 413
Xiao Li 8 0.1× 203 1.5× 34 0.6× 23 0.4× 29 0.6× 32 348
Pan Wu 62 0.4× 19 0.1× 7 0.1× 74 1.3× 90 1.8× 42 440
Paul J. Ossenbruggen 8 0.1× 174 1.3× 62 1.1× 122 2.1× 88 1.8× 36 390
Kenneth S Opiela 10 0.1× 155 1.2× 119 2.1× 89 1.5× 44 0.9× 58 346
Mario De Luca 6 0.0× 150 1.1× 140 2.4× 52 0.9× 130 2.6× 32 369

Countries citing papers authored by Cancan Song

Since Specialization
Citations

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

Fields of papers citing papers by Cancan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cancan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Cancan Song. A scholar is included among the top collaborators of Cancan 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 Cancan Song. Cancan 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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2026