Feihu Guo

566 total citations
14 papers, 485 citations indexed

About

Feihu Guo is a scholar working on Electronic, Optical and Magnetic Materials, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Feihu Guo has authored 14 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electronic, Optical and Magnetic Materials, 6 papers in Mechanical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Feihu Guo's work include Magnetic Properties and Applications (8 papers), Microstructure and Mechanical Properties of Steels (6 papers) and Advanced Battery Materials and Technologies (4 papers). Feihu Guo is often cited by papers focused on Magnetic Properties and Applications (8 papers), Microstructure and Mechanical Properties of Steels (6 papers) and Advanced Battery Materials and Technologies (4 papers). Feihu Guo collaborates with scholars based in China. Feihu Guo's co-authors include Xinping Ai, Jiangfeng Qian, Hanxi Yang, Chen Wu, Faping Zhong, Hui Chen, Hui Li, Yuliang Cao, Yangxing Li and Guojia Wan and has published in prestigious journals such as ACS Applied Materials & Interfaces, ACS Energy Letters and Energy storage materials.

In The Last Decade

Feihu Guo

13 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feihu Guo China 8 430 268 67 53 47 14 485
Alexander Beutl Austria 10 243 0.6× 140 0.5× 29 0.4× 56 1.1× 31 0.7× 29 293
Jiabin Zhao China 8 363 0.8× 92 0.3× 124 1.9× 68 1.3× 57 1.2× 19 423
Alexia Valéry France 5 344 0.8× 140 0.5× 28 0.4× 21 0.4× 45 1.0× 8 377
Ann‐Christin Gentschev Germany 6 434 1.0× 254 0.9× 70 1.0× 42 0.8× 34 0.7× 7 455
Kangwoon Kim United States 8 409 1.0× 209 0.8× 45 0.7× 34 0.6× 69 1.5× 10 437
Delphine Guy-Bouyssou France 7 387 0.9× 233 0.9× 70 1.0× 27 0.5× 29 0.6× 10 414
Kimberly L. Bassett United States 11 334 0.8× 165 0.6× 41 0.6× 22 0.4× 56 1.2× 15 357
Jun Young Peter Ko United States 5 359 0.8× 99 0.4× 101 1.5× 99 1.9× 74 1.6× 8 399
Lars Frankenstein Germany 9 329 0.8× 143 0.5× 83 1.2× 77 1.5× 36 0.8× 20 344
Nai-Hsuan Yang Taiwan 6 441 1.0× 158 0.6× 150 2.2× 35 0.7× 47 1.0× 8 467

Countries citing papers authored by Feihu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Feihu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feihu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Feihu Guo. A scholar is included among the top collaborators of Feihu Guo 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 Feihu Guo. Feihu Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
3.
Yang, Peiyan, et al.. (2024). Experimental research and numerical simulation of graphene preparation by supercritical CO2. Applied Physics A. 130(12). 1 indexed citations
4.
Guo, Feihu, et al.. (2021). Optimum Magnetic Properties of Non-Oriented Electrical Steel Produced by Compact Strip Production Process. Metals. 12(1). 64–64. 6 indexed citations
5.
Guo, Feihu, et al.. (2021). Development of thin-gauge low iron loss non-oriented silicon steel. Metallurgical Research & Technology. 118(1). 113–113. 3 indexed citations
7.
Wu, Chen, Feihu Guo, Lin Zhuang, et al.. (2020). Mesoporous Silica Reinforced Hybrid Polymer Artificial Layer for High-Energy and Long-Cycling Lithium Metal Batteries. ACS Energy Letters. 5(5). 1644–1652. 88 indexed citations
8.
Guo, Feihu, Chen Wu, Shengli Chen, et al.. (2020). Flaky and Dense Lithium Deposition Enabled by a Nanoporous Copper Surface Layer on Lithium Metal Anode. ACS Materials Letters. 2(4). 358–366. 22 indexed citations
9.
Guo, Feihu, et al.. (2020). Precipitates in Compact Strip Production (CSP) Process Non-Oriented Electrical Steel. Metals. 10(10). 1301–1301. 7 indexed citations
10.
Guo, Feihu, et al.. (2020). Formation mechanism of surface oxide layer of grain-oriented silicon steel. Journal of Iron and Steel Research International. 28(3). 327–334. 13 indexed citations
11.
Guo, Feihu, et al.. (2019). Effect of recrystallization annealing temperature on texture and magnetic properties of 2.97% Si non-oriented silicon steel. Metallurgical Research & Technology. 116(4). 412–412. 7 indexed citations
12.
Guo, Feihu, Chen Wu, Hui Chen, et al.. (2019). Dendrite-free lithium deposition by coating a lithiophilic heterogeneous metal layer on lithium metal anode. Energy storage materials. 24. 635–643. 173 indexed citations
13.
Wan, Guojia, Feihu Guo, Hui Li, et al.. (2017). Suppression of Dendritic Lithium Growth by in Situ Formation of a Chemically Stable and Mechanically Strong Solid Electrolyte Interphase. ACS Applied Materials & Interfaces. 10(1). 593–601. 134 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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