Pengfei Huang

3.2k total citations
109 papers, 2.5k citations indexed

About

Pengfei Huang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Pengfei Huang has authored 109 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 22 papers in Computer Vision and Pattern Recognition and 20 papers in Materials Chemistry. Recurrent topics in Pengfei Huang's work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (22 papers) and MXene and MAX Phase Materials (15 papers). Pengfei Huang is often cited by papers focused on Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (22 papers) and MXene and MAX Phase Materials (15 papers). Pengfei Huang collaborates with scholars based in China, Taiwan and United States. Pengfei Huang's co-authors include Shunlong Zhang, Hangjun Ying, Wei‐Qiang Han, Zhao Zhang, P.L. Lin, Zhiyi Chen, Tiantian Yang, Liang Wang, Zhihao Zhang and Hongjing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Energy Materials.

In The Last Decade

Pengfei Huang

107 papers receiving 2.4k citations

Peers

Pengfei Huang
Comparison fields: 5 of 130
  • Electrical and Electronic Engineering 1.2k
  • Materials Chemistry 756
  • Electronic, Optical and Magnetic Materials 413
  • Computer Vision and Pattern Recognition 297
  • Oral Surgery 228
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Dongliang Liu China View profile →
Citations per field, relative to Pengfei Huang
Pengfei Huang · 1×
Citations per year, relative to Pengfei Huang
Pengfei Huang · 1×

Countries citing papers authored by Pengfei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Huang. A scholar is included among the top collaborators of Pengfei Huang 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 Pengfei Huang. Pengfei Huang 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
# Work Indexed citations
1 5
2 2
3 13
4 4
5 4
6 8
7 3
8 7
9 1
10 1
11 18
12 14
13 6
14 1
15 38
16 12
17 40
18 52
19
Simultaneous electrochemical detection of hydroquinone and catechol in binary mixtures using poly(cysteine)-modified glassy carbon electrode
1
20
An effective automated grading system for HCC in biopsy images
1

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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