Keke Song

1.3k total citations · 1 hit paper
50 papers, 786 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 786 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 Electrocatalysts for Energy Conversion (5 papers). Keke Song is often cited by papers focused on Perovskite Materials and Applications (16 papers), Conducting polymers and applications (8 papers) and Electrocatalysts for Energy Conversion (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, Haikuan Dong, Lianqing Zhu, Zheyong Fan, Jiahui Liu, Jianyang Wu and J. Magnus Rahm 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 770 citations

Hit Papers

GPUMD: A package for cons... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
    2022 239 citations Keke Song, Haikuan Dong et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keke Song China 15 448 271 101 89 84 50 786
Jiale Guo China 15 231 0.5× 276 1.0× 96 1.0× 41 0.5× 106 1.3× 54 761
Mingsheng Li China 17 318 0.7× 208 0.8× 194 1.9× 63 0.7× 106 1.3× 77 791
Xiaohuan Wang China 16 275 0.6× 167 0.6× 107 1.1× 64 0.7× 51 0.6× 85 897
Yufei Li China 18 298 0.7× 264 1.0× 96 1.0× 54 0.6× 40 0.5× 101 1.2k
Li Peng China 15 367 0.8× 412 1.5× 192 1.9× 98 1.1× 40 0.5× 30 1.0k
Meilin Zhang China 17 209 0.5× 424 1.6× 95 0.9× 66 0.7× 241 2.9× 58 865
Chitnarong Sirisathitkul Thailand 14 376 0.8× 182 0.7× 184 1.8× 65 0.7× 94 1.1× 119 896
Mengqi Liu China 15 316 0.7× 258 1.0× 204 2.0× 92 1.0× 26 0.3× 60 888

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

20 of 20 papers shown
1.
Hu, Gang, Keke Song, & Mahmoud Abdel-Salam. (2025). Sub-population evolutionary particle swarm optimization with dynamic fitness-distance balance and elite reverse learning for engineering design problems. Advances in Engineering Software. 202. 103866–103866. 11 indexed citations
2.
Song, Keke, Chen‐Yu Zhang, Ruiqi Zhou, et al.. (2024). Screening and Expression Analysis of POD Gene in POD-H2O2 Pathway on Bud Dormancy of Pear (Pyrus pyrifolia). Forests. 15(3). 434–434. 4 indexed citations
3.
Zhang, Xin, Kai Nan, Yuankai Zhang, et al.. (2024). A novel injectable hydrogel prepared from phenylboronic acid modified gelatin and oxidized-dextran for bone tissue engineering. International Journal of Biological Macromolecules. 261(Pt 1). 129666–129666. 19 indexed citations
4.
Song, Keke, et al.. (2024). Paper-based ratiometric fluorescent sensing platform based on mixed quantum dots for the detection of glucose in urine. RSC Advances. 14(2). 1207–1215. 5 indexed citations
5.
Song, Keke, et al.. (2024). Designing hydrogen embrittlement-resistant grain boundary in steel by alloying elements segregation: First-principles calculations. Applied Surface Science. 656. 159684–159684. 13 indexed citations
6.
Do, Hainam, Haitao Zhao, Ping Qian, et al.. (2024). Understanding cellulose pyrolysis via ab initio deep learning potential field. Bioresource Technology. 399. 130590–130590. 8 indexed citations
7.
Li, Ning, Haikuan Dong, Shuo Cao, et al.. (2023). First-principles calculations of improving carrier mobility for β - CsPbI3. Materials Science in Semiconductor Processing. 157. 107327–107327. 8 indexed citations
8.
Xiong, Xilin, Keke Song, Jinxu Li, & Yanjing Su. (2023). Effect of Mo Content on Hydrogen Evolution Reaction of 1400 MPa-Grade High-Strength Bolt Steel. Materials. 16(3). 1020–1020. 1 indexed citations
9.
Chen, Su-Di, Xitong Ren, Keke Song, et al.. (2023). Recent Progress in Porphyrin/g-C3N4 Composite Photocatalysts for Solar Energy Utilization and Conversion. Molecules. 28(11). 4283–4283. 20 indexed citations
10.
Zhu, Jialin, Cheng Jin, Junqi Wang, et al.. (2022). Investigation of the Photoresponse and Time-Response Characteristics of HDA-BiI5-Based Photodetectors. Materials. 15(1). 321–321. 4 indexed citations
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Wang, Xiao‐Xu, Ye Su, Minghui Song, et al.. (2021). Design single nonmetal atom doped 2D Ti2CO2 electrocatalyst for hydrogen evolution reaction by coupling electronic descriptor. Applied Surface Science. 556. 149778–149778. 24 indexed citations
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Song, Keke, et al.. (2021). Effect of Alloying Elements on the Stacking Fault Energy and Ductility in Mg2Si Intermetallic Compounds. ACS Omega. 6(31). 20254–20263. 3 indexed citations
18.
Li, Lu, Yanzhou Wang, Xiao‐Xu Wang, et al.. (2020). Size and Stoichiometry Effect of FePt Bimetal Nanoparticle Catalyst for CO Oxidation: A DFT Study. The Journal of Physical Chemistry C. 124(16). 8706–8715. 20 indexed citations
19.
Su, Ye, Xilin Xiong, Xiao‐Xu Wang, et al.. (2020). Theoretical Study on Improving the Catalytic Activity of a Tungsten Carbide Surface for Hydrogen Evolution by Nonmetallic Doping. Catalysts. 10(11). 1272–1272. 2 indexed citations
20.
Wang, Yong, et al.. (2009). Evaluation of the Oxidative Stability of Diacylglycerol‐Enriched Soybean Oil and Palm Olein Under Rancimat‐Accelerated Oxidation Conditions. Journal of the American Oil Chemists Society. 87(5). 483–491. 28 indexed citations

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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