Lanxiang Sun

1.5k total citations
65 papers, 1.2k citations indexed

About

Lanxiang Sun is a scholar working on Mechanics of Materials, Analytical Chemistry and Archeology. According to data from OpenAlex, Lanxiang Sun has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Mechanics of Materials, 33 papers in Analytical Chemistry and 23 papers in Archeology. Recurrent topics in Lanxiang Sun's work include Laser-induced spectroscopy and plasma (51 papers), Analytical chemistry methods development (28 papers) and Cultural Heritage Materials Analysis (23 papers). Lanxiang Sun is often cited by papers focused on Laser-induced spectroscopy and plasma (51 papers), Analytical chemistry methods development (28 papers) and Cultural Heritage Materials Analysis (23 papers). Lanxiang Sun collaborates with scholars based in China, United States and Belgium. Lanxiang Sun's co-authors include Haibin Yu, Yong Xin, Zhibo Cong, Lifeng Qi, Peng Zeng, Wei Wang, Bo Zhang, Peng Zhang, Hongbin Ding and Shunchun Yao and has published in prestigious journals such as Analytical Chemistry, The Analyst and Talanta.

In The Last Decade

Lanxiang Sun

63 papers receiving 1.1k citations

Peers

Lanxiang Sun

ARCHE

HTM

Muhammad Sher Afgan China

Fengzhong Dong China

Haichen Liu China

Gangqiang Li China

Zhuang Zhuo China

Laurent Zimmer France

Greg Mungas United States

Honggang Zhou France

Maths Halstensen Norway

Muhammad Sher Afgan China

Lanxiang Sun

593 ×0.6

506 ×0.6

172 ×0.5

ARCHE

182 ×0.7

HTM

62 ×0.5

Citations per year, relative to Lanxiang Sun Lanxiang Sun (= 1×) peers Muhammad Sher Afgan

Countries citing papers authored by Lanxiang Sun

Since Specialization

Citations

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

Fields of papers citing papers by Lanxiang Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanxiang Sun

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

All Works

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20 of 20 papers shown

Yu, Tong, et al.. (2025). Information fusion of slurry concentration, particle size and LIBS data for iron grade analysis in mineral processing industry. Minerals Engineering. 234. 109715–109715.

Zhang, Peng, Lanxiang Sun, Lifeng Qi, & Haibin Yu. (2024). On-line quantitative analysis of major elements in phosphate slurry using LIBS assisted by plasma information from orthogonal directions imaging. Measurement. 234. 114827–114827. 2 indexed citations

Chen, Tong, et al.. (2024). Application of S-transform-based nonlinear processing for accurate LIBS quantitative analysis of iron ore slurry. The Analyst. 149(17). 4407–4417. 1 indexed citations

Zhang, Q., et al.. (2024). On-Line Measurement of Iron Grade in Iron Ore Slurry by LIBS Technique Combined With Gaussian Process Regression. IEEE Transactions on Instrumentation and Measurement. 73. 1–8. 5 indexed citations

Képeš, Erik, Jakub Vrábel, Panagiotis Siozos, et al.. (2023). Quantification of alloying elements in steel targets: The LIBS 2022 regression contest. Spectrochimica Acta Part B Atomic Spectroscopy. 206. 106710–106710. 11 indexed citations

Sun, Lanxiang, et al.. (2023). Characteristics of laser-induced breakdown spectroscopy of liquid slag. Plasma Science and Technology. 26(2). 25502–25502. 3 indexed citations

Chen, Tong, Lanxiang Sun, Haibin Yu, Peng Zeng, & Lifeng Qi. (2023). Online Fe grade monitoring of iron ore slurry by Morse wavelet transform and lightweight convolutional neural network based on LIBS. Spectrochimica Acta Part B Atomic Spectroscopy. 210. 106821–106821. 8 indexed citations

Sun, Lanxiang, et al.. (2023). Study on laser-induced breakdown spectroscopy in high-pressure helium gas environment for deep ocean applications. Talanta. 270. 125531–125531. 8 indexed citations

Sun, Lanxiang, et al.. (2022). Composition analysis of ceramic raw materials using laser-induced breakdown spectroscopy and autoencoder neural network. Analytical Methods. 14(13). 1320–1328. 9 indexed citations

10.

Sun, Lanxiang, et al.. (2021). A lightweight convolutional neural network model for quantitative analysis of phosphate ore slurry based on laser-induced breakdown spectroscopy. Journal of Analytical Atomic Spectrometry. 36(11). 2528–2535. 17 indexed citations

11.

Guo, Lianbo, Deng Zhang, Lanxiang Sun, et al.. (2021). Development in the application of laser-induced breakdown spectroscopy in recent years: A review. Frontiers of Physics. 16(2). 157 indexed citations

12.

Wang, Guodong, et al.. (2020). A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy. Plasma Science and Technology. 22(7). 74002–74002. 16 indexed citations

13.

Wang, Wei, et al.. (2020). Microanalysis of molybdenum-copper stainless steel samples by picosecond laser-induced breakdown spectroscopy. Microchemical Journal. 158. 105267–105267. 9 indexed citations

14.

Xin, Yong, Lanxiang Sun, Zhijia Yang, et al.. (2016). In situ analysis of magnesium alloy using a standoff and double-pulse laser-induced breakdown spectroscopy system. Frontiers of Physics. 11(5). 15 indexed citations

15.

Zhang, Tong, et al.. (2015). A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network. 10. 357–361. 7 indexed citations

16.

Qi, Lifeng, Lanxiang Sun, Zhibo Cong, Yong Xin, & Yang Li. (2013). Double-Pulse Remote Laser-Induced Breakdown Spectroscopy Analysis of Magnesium Alloys. Journal of Computer and Communications. 1(7). 36–39. 2 indexed citations

17.

Cong, Zhibo, Lanxiang Sun, Yong Xin, Yang Li, & Lifeng Qi. (2013). Comparison of Calibration Curve Method and Partial Least Square Method in the Laser Induced Breakdown Spectroscopy Quantitative Analysis. Journal of Computer and Communications. 1(7). 14–18. 11 indexed citations

18.

Zhang, Bo, Lanxiang Sun, Haibin Yu, Yong Xin, & Zhibo Cong. (2013). Wavelet denoising method for laser-induced breakdown spectroscopy. Journal of Analytical Atomic Spectrometry. 28(12). 1884–1884. 43 indexed citations

19.

Sun, Lanxiang & Haibin Yu. (2009). Correction of self-absorption effect in calibration-free laser-induced breakdown spectroscopy by an internal reference method. Talanta. 79(2). 388–395. 187 indexed citations

20.

Sun, Lanxiang. (2006). Modeling and Control of Networked Control Systems with Long Delay. Kongzhi yu juece. 1 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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