Lin Cao

4.2k total citations · 1 hit paper
136 papers, 3.5k citations indexed

About

Lin Cao is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Lin Cao has authored 136 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 32 papers in Mechanical Engineering and 31 papers in Materials Chemistry. Recurrent topics in Lin Cao's work include Supercapacitor Materials and Fabrication (27 papers), Conducting polymers and applications (20 papers) and Aluminum Alloys Composites Properties (14 papers). Lin Cao is often cited by papers focused on Supercapacitor Materials and Fabrication (27 papers), Conducting polymers and applications (20 papers) and Aluminum Alloys Composites Properties (14 papers). Lin Cao collaborates with scholars based in China, Japan and United States. Lin Cao's co-authors include Hu‐Lin Li, Yanyu Liang, Fei Xu, Zhidan Lin, Peng Zhang, Mei Lu, Xinping Qiu, Wentao Zhu, Christina Roth and Ulrich Stimming and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Lin Cao

122 papers receiving 3.4k citations

Hit Papers

Preparation of the Novel Nanocomposite Co(OH)2/ Ultra‐Sta... 2004 2026 2011 2018 2004 100 200 300 400 500
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. Preparation of the Novel Nanocomposite Co(OH)2/ Ultra‐Stable Y Zeolite and Its Application as a Supercapacitor with High Energy Density
    2004 517 citations Lin Cao 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
Lin Cao China 30 1.5k 1.2k 1.0k 714 651 136 3.5k
Yanhuai Ding China 38 2.8k 1.9× 1.2k 1.0× 1.7k 1.6× 525 0.7× 633 1.0× 204 5.3k
Man Zhang China 35 1.8k 1.2× 1.0k 0.8× 1.7k 1.6× 421 0.6× 991 1.5× 230 4.6k
Yong Seok Kim South Korea 33 1.4k 0.9× 500 0.4× 1.3k 1.3× 486 0.7× 745 1.1× 194 4.1k
Hao Wen China 36 1.3k 0.9× 593 0.5× 2.0k 1.9× 999 1.4× 497 0.8× 117 4.0k
Zhuangzhuang Zhang China 37 2.3k 1.5× 1.1k 0.9× 991 1.0× 288 0.4× 401 0.6× 139 4.2k
Lei Wu China 36 2.1k 1.4× 2.0k 1.6× 1.2k 1.1× 616 0.9× 1.0k 1.6× 188 4.6k
Xiang Yu China 31 1.5k 1.0× 628 0.5× 1.5k 1.5× 406 0.6× 648 1.0× 222 3.9k
Ningning Song China 36 3.0k 2.0× 2.0k 1.7× 1.8k 1.8× 697 1.0× 707 1.1× 174 5.6k
Ning Liu China 34 2.1k 1.4× 860 0.7× 1.7k 1.6× 382 0.5× 1.3k 2.1× 196 5.2k
Fei Wang China 30 816 0.5× 547 0.4× 1.1k 1.0× 420 0.6× 369 0.6× 160 3.2k

Countries citing papers authored by Lin Cao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Cao. A scholar is included among the top collaborators of Lin Cao 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 Lin Cao. Lin Cao 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.
Li, Xiaomei, et al.. (2025). High electrocatalytic activity of crystallization-modulated ordered PtCu3/C nanoalloy catalysts for oxygen reduction reaction. Chemical Engineering Journal. 507. 160445–160445. 4 indexed citations
2.
Cao, Lin, Biao Chen, Yi-Ling Chen, et al.. (2025). Intragranular dispersion of carbon nanotubes in aluminum matrix composites with improved mechanical properties. Journal of Material Science and Technology. 252. 34–47.
3.
Hong, Shaohua, et al.. (2025). STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation. IEEE Transactions on Cognitive Communications and Networking. 12. 2036–2050.
4.
Zhao, Yanli, Chong Fu, Sen Xu, Lin Cao, & Hongfeng Ma. (2025). HCT-Net: A hybrid CNN-Transformer network for multi-class cervical cell classification. Biomedical Signal Processing and Control. 112. 108383–108383.
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Cao, Lin, et al.. (2024). Aging behavior, microstructure and mechanical properties of Al-Cu-Mg alloy matrix composites reinforced with carbon nanotubes. Materials Science and Engineering A. 915. 147174–147174. 5 indexed citations
7.
Cao, Lin, Yue Zhou, Shuai Lin, et al.. (2024). The trajectory of vesicular proteomic signatures from HBV‐HCC by chitosan‐magnetic bead‐based separation and DIA‐proteomic analysis. Journal of Extracellular Vesicles. 13(9). e12499–e12499. 6 indexed citations
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Cao, Lin, et al.. (2023). Sketch face recognition based on light semantic Transformer network. IET Computer Vision. 17(8). 962–976. 3 indexed citations
11.
Hong, Liu, Lin Cao, Xiaomin Wang, et al.. (2023). Antifungal Properties of Ozone Treatment against P. citrinum and R. stolonifera in Fresh-Peeled Garlic. Coatings. 13(11). 1931–1931. 1 indexed citations
12.
Cao, Lin, et al.. (2023). A new simulation method for nanoparticles solution flooding based on connection element method. Chemical Engineering Science. 282. 119308–119308.
13.
Zhang, Peng, Yuhui Zhao, Jiale Huang, et al.. (2023). Enhanced mechanical and wear properties of Ni-W-SiC composite coatings by synergistic influence of micro-nano SiC mixture. Surface and Coatings Technology. 467. 129678–129678. 12 indexed citations
14.
Chen, Biao, Xinyi Zhou, Lin Cao, et al.. (2023). CNT-induced heterogeneous matrix grain structure in CNTs/Al composites. Carbon. 216. 118529–118529. 20 indexed citations
15.
Cao, Lin, Biao Chen, Wan Qi Jie, et al.. (2023). Unraveling the dispersion mechanism of carbon nanotubes in aluminum powder particles during high energy ball milling by FIB-TEM study. Powder Technology. 419. 118339–118339. 16 indexed citations
16.
Yang, Junjie, Lin Cao, Xiao Wang, et al.. (2023). Revealing the Impact of Micro-SiO2 Filer Content on the Anti-Corrosion Performance of Water-Borne Epoxy Resin. Polymers. 15(15). 3273–3273. 2 indexed citations
17.
Fu, Chong, et al.. (2022). Automatic skin lesion classification using a novel densely connected convolutional network integrated with an attention module. Journal of Ambient Intelligence and Humanized Computing. 14(7). 8943–8956. 8 indexed citations
18.
Cao, Lin, et al.. (2021). Meshless Method-Based Numerical Simulation of Microbial Flooding. Xinjiang shiyou dizhi. 42(2). 206. 1 indexed citations
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20.
Cao, Lin, et al.. (2020). Bisecting N-Acetylglucosamine on EGFR Inhibits Malignant Phenotype of Breast Cancer via Down-Regulation of EGFR/Erk Signaling. Frontiers in Oncology. 10. 929–929. 25 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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