Fengye Chen

558 total citations
16 papers, 363 citations indexed

About

Fengye Chen is a scholar working on Mechanics of Materials, Analytical Chemistry and Archeology. According to data from OpenAlex, Fengye Chen has authored 16 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanics of Materials, 14 papers in Analytical Chemistry and 4 papers in Archeology. Recurrent topics in Fengye Chen's work include Laser-induced spectroscopy and plasma (14 papers), Analytical chemistry methods development (13 papers) and Cultural Heritage Materials Analysis (4 papers). Fengye Chen is often cited by papers focused on Laser-induced spectroscopy and plasma (14 papers), Analytical chemistry methods development (13 papers) and Cultural Heritage Materials Analysis (4 papers). Fengye Chen collaborates with scholars based in China. Fengye Chen's co-authors include Jin Yu, Chen Sun, Weijie Xu, Sahar Shabbir, Zengqi Yue, Long Zou, Mengting Wu, Yongqi Tan, Yuqing Zhang and Yuqing Zhang and has published in prestigious journals such as Nature Cell Biology, Scientific Reports and Optics Express.

In The Last Decade

Fengye Chen

16 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengye Chen China 11 243 198 60 51 46 16 363
Long Zou China 13 222 0.9× 183 0.9× 57 0.9× 41 0.8× 42 0.9× 26 394
Sahar Shabbir China 11 264 1.1× 217 1.1× 71 1.2× 15 0.3× 50 1.1× 12 341
Changmao Li China 12 285 1.2× 256 1.3× 85 1.4× 26 0.5× 104 2.3× 28 420
Marek Hoehse Germany 9 168 0.7× 187 0.9× 112 1.9× 111 2.2× 29 0.6× 10 326
Ruthmara Corzo United States 10 71 0.3× 80 0.4× 168 2.8× 20 0.4× 5 0.1× 23 284
Scott Ryland United States 7 91 0.4× 99 0.5× 126 2.1× 8 0.2× 22 0.5× 10 226
RD Koons United States 12 61 0.3× 72 0.4× 136 2.3× 16 0.3× 23 0.5× 15 347
Akshaya Kumar United States 7 344 1.4× 285 1.4× 73 1.2× 13 0.3× 136 3.0× 9 384
Vishal Dwivedi Slovakia 10 112 0.5× 61 0.3× 21 0.3× 3 0.1× 10 0.2× 21 207
Andrew T. Francis United States 8 15 0.1× 100 0.5× 3 0.1× 48 0.9× 31 0.7× 10 290

Countries citing papers authored by Fengye Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fengye Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengye Chen

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

All Works

16 of 16 papers shown
1.
Sun, Chen, Xiaowen Yu, Fengye Chen, et al.. (2024). Precise chlorine determination in geological materials using LIBS coupled with stable learning for Mars explorations. Spectrochimica Acta Part B Atomic Spectroscopy. 213. 106881–106881. 8 indexed citations
2.
Chen, Fengye, et al.. (2024). Determination of inorganic and organic carbons in a Martian soil simulant under the Martian CO2 atmosphere using LIBS coupled with machine learning. Spectrochimica Acta Part B Atomic Spectroscopy. 214. 106887–106887. 6 indexed citations
3.
Yue, Zengqi, Chen Sun, Yuqing Zhang, et al.. (2024). An echellograms-based quantitative analysis method of laser-induced breakdown spectroscopy. Spectrochimica Acta Part B Atomic Spectroscopy. 218. 106981–106981. 1 indexed citations
4.
Zhang, Beiyi, Chen Sun, Xiaowen Yu, et al.. (2023). Sensitive and accurate determination of nitrogen in simulated Martian soil and environment with LIBS spectrum fusion and regression based on neural network. Spectrochimica Acta Part B Atomic Spectroscopy. 206. 106708–106708. 10 indexed citations
5.
Lv, Jiadi, Yuying Liu, Yabo Zhou, et al.. (2022). Gasdermin E mediates resistance of pancreatic adenocarcinoma to enzymatic digestion through a YBX1–mucin pathway. Nature Cell Biology. 24(3). 364–372. 43 indexed citations
6.
Shabbir, Sahar, Weijie Xu, Yuqing Zhang, et al.. (2022). Machine learning and transfer learning for correction of the chemical and physical matrix effects in the determination of alkali and alkaline earth metals with LIBS in rocks. Spectrochimica Acta Part B Atomic Spectroscopy. 194. 106478–106478. 28 indexed citations
7.
Wu, Mengting, Weijie Xu, Long Zou, et al.. (2022). Precise determination of potassium in potash with self-absorption correction in laser-induced breakdown spectroscopy. Applied Physics B. 128(6). 4 indexed citations
8.
Chen, Fengye, Chen Sun, Zengqi Yue, et al.. (2021). Screening ovarian cancers with Raman spectroscopy of blood plasma coupled with machine learning data processing. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 265. 120355–120355. 30 indexed citations
9.
Sun, Chen, Weijie Xu, Yongqi Tan, et al.. (2021). From machine learning to transfer learning in laser-induced breakdown spectroscopy analysis of rocks for Mars exploration. Scientific Reports. 11(1). 21379–21379. 43 indexed citations
10.
Shabbir, Sahar, Chen Sun, Zengqi Yue, et al.. (2021). Transfer learning improves the prediction performance of a LIBS model for metals with an irregular surface by effectively correcting the physical matrix effect. Journal of Analytical Atomic Spectrometry. 36(7). 1441–1454. 22 indexed citations
11.
Yue, Zengqi, Chen Sun, Fengye Chen, et al.. (2021). Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis. Biomedical Optics Express. 12(5). 2559–2559. 54 indexed citations
12.
Xu, Weijie, Chen Sun, Zengqi Yue, et al.. (2021). Accurate determination of structural H2O in rocks using LIBS coupled with machine learning algorithms extensively exploring the characteristics of the Hα line. Journal of Analytical Atomic Spectrometry. 37(2). 317–329. 12 indexed citations
13.
Xu, Weijie, Chen Sun, Yongqi Tan, et al.. (2020). Total alkali silica classification of rocks with LIBS: influences of the chemical and physical matrix effects. Journal of Analytical Atomic Spectrometry. 35(8). 1641–1653. 35 indexed citations
14.
Zou, Long, Chen Sun, Mengting Wu, et al.. (2020). Online simultaneous determination of H2O and KCl in potash with LIBS coupled to convolutional and back-propagation neural networks. Journal of Analytical Atomic Spectrometry. 36(2). 303–313. 19 indexed citations
15.
Sun, Chen, Zengqi Yue, Sahar Shabbir, et al.. (2020). Correlation-based carbon determination in steel without explicitly involving carbon-related emission lines in a LIBS spectrum. Optics Express. 28(21). 32019–32019. 23 indexed citations
16.
Yue, Zengqi, Chen Sun, Liang Gao, et al.. (2020). Machine learning efficiently corrects LIBS spectrum variation due to change of laser fluence. Optics Express. 28(10). 14345–14345. 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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