Chen Peng

401 citations
25 papers · 213 · h-index 8

Impact in

Papers in

Chen Peng

22 papers receiving 207 citations

Peers

Chen Peng
Comparison fields: 5 of 79
  • Instrumentation 9
  • Neurology 17
  • Astronomy and Astrophysics 30
  • Computer Vision and Pattern Recognition 26
  • Cancer Research 17
Replace William L. Poehlman with:
William L. Poehlman United States
Francesco Alessandro Massucci Spain
You Duan China
Priscila T. M. Saito Brazil
Romulus Terebeş Romania
Theofanis Karaletsos United States
Roberto Visintainer Italy
Xupeng Chen China
R. Díaz Hernández Mexico
Chen Peng relative to William L. Poehlman United States William L. Poehlman's profile →
Citations per field
00.5×10×15×
William L. Poehlman · 1×
Citations per year

Countries citing papers authored by Chen Peng

Since Specialization
Citations

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

Fields of papers citing papers by Chen Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen Peng Line = papers co-authored together Chen Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2
The CASTLES project
199932
3 201428
4 201222
5 201318
6 201612
7 20239
8 20228
9 20235
10 20223
11 19903
12 20182
13 20152
14 20202
15 20231
16
Determination of thymol content and related substances by RP-HPLC
20121
17
Analysis on chemical components of Shenqi Guishao decoction by UPLC-Q-TOF/MS
20161
18
Using remote sensing technology for crop nitrogen diagnosis:status and trends
20101
19 20241
20 20241

About Chen Peng

Chen Peng is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Plant Science, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 25 papers that have together received 213 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Power Systems and Renewable Energy (3 papers), Plant Surface Properties and Treatments (2 papers), Advanced Vision and Imaging (2 papers), Machine Learning in Bioinformatics (2 papers), Smart Grid and Power Systems (2 papers) and High-Voltage Power Transmission Systems (2 papers). The work is most often cited by research in Instrumentation (9 citations), Neurology (17 citations), Astronomy and Astrophysics (30 citations), Computer Vision and Pattern Recognition (26 citations) and Cancer Research (17 citations). Chen Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ao Li, Ya Zhang, Minghui Wang, Reinhard Jetter, Christopher Buschhaus, Ikuro Abe, Takayoshi Awakawa, Radu C. Racoviţă, B. A. McLeod and E. Falco. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Phytochemistry, IEEE Transactions on Transportation Electrification, Molecular BioSystems and PLoS ONE.

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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