Keke Song

73 total papers · 1.2k total citations
50 papers, 761 citations indexed

About

Keke Song is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Keke Song has authored 50 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 20 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Keke Song's work include Perovskite Materials and Applications (16 papers), Conducting polymers and applications (8 papers) and 2D Materials and Applications (5 papers). Keke Song is often cited by papers focused on Perovskite Materials and Applications (16 papers), Conducting polymers and applications (8 papers) and 2D Materials and Applications (5 papers). Keke Song collaborates with scholars based in China, United States and Singapore. Keke Song's co-authors include Ping Qian, Yanjing Su, Qingbo Meng, Xiao‐Xu Wang, Lianqing Zhu, Haikuan Dong, Paul Erhart, Zezhu Zeng, Yong Wang and Ke Xu and has published in prestigious journals such as The Journal of Chemical Physics, Bioresource Technology and Carbon.

In The Last Decade

Keke Song

48 papers receiving 746 citations

Hit Papers

GPUMD: A package for cons... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Keke Song 432 259 96 84 82 50 761
Yanqiu Chu 460 1.1× 425 1.6× 84 0.9× 81 1.0× 84 1.0× 46 857
Olu Emmanuel Femi 412 1.0× 243 0.9× 89 0.9× 42 0.5× 80 1.0× 61 657
Dunieskys G. Larrudé 429 1.0× 280 1.1× 185 1.9× 63 0.8× 86 1.0× 55 723
Mahnaz Mohammadi 323 0.7× 265 1.0× 104 1.1× 114 1.4× 91 1.1× 49 675
Xiaoyu Yang 300 0.7× 252 1.0× 109 1.1× 76 0.9× 78 1.0× 50 755
Jiale Guo 225 0.5× 271 1.0× 96 1.0× 41 0.5× 105 1.3× 50 746
Xiaojuan Li 316 0.7× 384 1.5× 254 2.6× 114 1.4× 63 0.8× 45 827
Deepak K. Gupta 222 0.5× 223 0.9× 113 1.2× 92 1.1× 77 0.9× 66 646
Zijun Xu 343 0.8× 196 0.8× 188 2.0× 40 0.5× 105 1.3× 60 818
Mingsheng Li 318 0.7× 205 0.8× 190 2.0× 63 0.8× 104 1.3× 75 777

Countries citing papers authored by Keke Song

Since Specialization
Citations

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

Fields of papers citing papers by Keke Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keke Song

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