Xiaopeng Feng

40 total papers · 1.4k total citations
31 papers, 1.0k citations indexed

About

Xiaopeng Feng is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Xiaopeng Feng has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 18 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Xiaopeng Feng's work include Perovskite Materials and Applications (17 papers), Supramolecular Self-Assembly in Materials (6 papers) and Conducting polymers and applications (5 papers). Xiaopeng Feng is often cited by papers focused on Perovskite Materials and Applications (17 papers), Supramolecular Self-Assembly in Materials (6 papers) and Conducting polymers and applications (5 papers). Xiaopeng Feng collaborates with scholars based in China, Japan and South Korea. Xiaopeng Feng's co-authors include Haotong Wei, Yang Bai, Jinmei Song, Weijun Li, Yuhong He, Mingbian Li, Yuchi Fan, Keiko Kikuchi, Naoyuki Nomura and Akira Kawasaki and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xiaopeng Feng

29 papers receiving 1.0k citations

Hit Papers

Perovskite computed tomog... 2024 2026 2024 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Xiaopeng Feng 700 623 179 112 110 31 1.0k
Xixi Qin 678 1.0× 512 0.8× 90 0.5× 70 0.6× 121 1.1× 27 904
Jing Zhang 583 0.8× 480 0.8× 108 0.6× 53 0.5× 101 0.9× 43 872
Zhenghe Hua 725 1.0× 421 0.7× 166 0.9× 47 0.4× 78 0.7× 40 871
Takeshi Iwasaki 577 0.8× 289 0.5× 299 1.7× 32 0.3× 111 1.0× 39 1.1k
Yongchang Guo 728 1.0× 650 1.0× 210 1.2× 75 0.7× 67 0.6× 26 950
Fang Li 695 1.0× 320 0.5× 157 0.9× 44 0.4× 187 1.7× 46 976
Mohammad H. Jilavi 919 1.3× 466 0.7× 103 0.6× 37 0.3× 65 0.6× 30 1.1k
R. E. Cook 477 0.7× 302 0.5× 136 0.8× 133 1.2× 115 1.0× 33 853
C. Nico 606 0.9× 512 0.8× 188 1.1× 101 0.9× 100 0.9× 27 1.1k
H.A. Çetinkara 902 1.3× 615 1.0× 131 0.7× 59 0.5× 131 1.2× 47 1.2k

Countries citing papers authored by Xiaopeng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Feng

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