Can Song

44 total papers · 434 total citations
19 papers, 310 citations indexed

About

Can Song is a scholar working on Genetics, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Can Song has authored 19 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Atmospheric Science. Recurrent topics in Can Song's work include Organic Electronics and Photovoltaics (3 papers), Meteorological Phenomena and Simulations (3 papers) and Conducting polymers and applications (3 papers). Can Song is often cited by papers focused on Organic Electronics and Photovoltaics (3 papers), Meteorological Phenomena and Simulations (3 papers) and Conducting polymers and applications (3 papers). Can Song collaborates with scholars based in China, Sweden and Türkiye. Can Song's co-authors include Shaojun Liu, Yi Zhou, Jun Xiao, Weiguo He, Jie Hu, Yun Liu, Zhang Chun, Liu Yun, Qinbo Qin and Min Tao and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Can Song

16 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Can Song	116	104	72	63	48	19	310
Abha Mishra	55 0.5×	32 0.3×	90 1.3×	39 0.6×	87 1.8×	23	296
Chun Zhang	99 0.9×	25 0.2×	53 0.7×	65 1.0×	53 1.1×	20	267
Siwapech Sillapaprayoon	169 1.5×	113 1.1×	29 0.4×	85 1.3×	36 0.8×	30	303
Gopal Krishna Purohit	24 0.2×	23 0.2×	107 1.5×	111 1.8×	16 0.3×	22	343
Jay Kumar	58 0.5×	40 0.4×	6 0.1×	95 1.5×	6 0.1×	14	298
Xiwen Xu	80 0.7×	90 0.9×	43 0.6×	134 2.1×	32 0.7×	26	328
Yanan Yang	69 0.6×	15 0.1×	103 1.4×	74 1.2×	46 1.0×	27	352
Hucheng Jiang	60 0.5×	8 0.1×	102 1.4×	61 1.0×	28 0.6×	26	298
Francisco J. Espinós	72 0.6×	6 0.1×	99 1.4×	36 0.6×	142 3.0×	18	333
Zhicheng Wang	30 0.3×	30 0.3×	11 0.2×	82 1.3×	13 0.3×	27	223

Countries citing papers authored by Can Song

Since Specialization

Citations

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

Fields of papers citing papers by Can Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Song

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