Luning Li

869 total citations · 1 hit paper
22 papers, 504 citations indexed

About

Luning Li is a scholar working on Mechanics of Materials, Analytical Chemistry and Archeology. According to data from OpenAlex, Luning Li has authored 22 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 8 papers in Analytical Chemistry and 5 papers in Archeology. Recurrent topics in Luning Li's work include Laser-induced spectroscopy and plasma (11 papers), Analytical chemistry methods development (7 papers) and Cultural Heritage Materials Analysis (5 papers). Luning Li is often cited by papers focused on Laser-induced spectroscopy and plasma (11 papers), Analytical chemistry methods development (7 papers) and Cultural Heritage Materials Analysis (5 papers). Luning Li collaborates with scholars based in China, United Kingdom and Finland. Luning Li's co-authors include Andrew Wileman, Weiming Xu, Rong Shu, Sohaib Aslam, Xiangfeng Liu, Suresh Perinpanayagam, Jianyu Wang, Dan Zhang, Guifang Wang and Daotong Chong and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Expert Systems with Applications and IEEE Access.

In The Last Decade

Luning Li

18 papers receiving 479 citations

Hit Papers

A review of artificial neural network based chemometrics ... 2021 2026 2022 2024 2021 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis
    2021 118 citations Luning Li, Xiangfeng Liu et al. Spectrochimica Acta Part B Atomic Spectroscopy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luning Li China 9 231 143 104 66 55 22 504
Dong Wei China 10 43 0.2× 120 0.8× 8 0.1× 97 1.5× 11 0.2× 50 521
Qinglin Ma China 10 52 0.2× 26 0.2× 6 0.1× 73 1.1× 36 0.7× 35 355
Shuhua Wang China 18 466 2.0× 60 0.4× 9 0.1× 546 8.3× 2 0.0× 59 1.1k
Fei Tan China 16 395 1.7× 38 0.3× 5 0.0× 151 2.3× 3 0.1× 83 856
Valériu Vrabie France 12 77 0.3× 150 1.0× 4 0.0× 34 0.5× 2 0.0× 45 500

Countries citing papers authored by Luning Li

Since Specialization
Citations

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

Fields of papers citing papers by Luning Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luning Li

This figure shows the co-authorship network connecting the top 25 collaborators of Luning Li. A scholar is included among the top collaborators of Luning Li 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 Luning Li. Luning Li 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
1.
2.
Li, Luning, et al.. (2025). An Overview of Quantum Machine Learning Research in China. Applied Sciences. 15(5). 2555–2555.
3.
Li, Luning, et al.. (2025). Laser-induced breakdown spectroscopy chemometrics for ChemCam Mars in situ data analysis based on deep learning and pretrained-model-based transfer learning. Journal of Analytical Atomic Spectrometry. 40(9). 2306–2326. 1 indexed citations
4.
Mukherjee, Anandarup, et al.. (2024). Alarm Webs: A Framework for Decoding RAN Alarm Dynamics. IFAC-PapersOnLine. 58(8). 103–108.
5.
Li, Luning, et al.. (2024). Predictive alarm models for improving radio access network robustness. Expert Systems with Applications. 259. 125312–125312. 1 indexed citations
6.
7.
Liu, Xiangfeng, Weiming Xu, Xin Ren, et al.. (2023). Development and Testing of the MarSCoDe LIBS Calibration Target in China’s Tianwen-1 Mars Mission. Space Science Reviews. 219(5). 14 indexed citations
8.
Liu, Xiangfeng, et al.. (2022). Initial Drift Correction and Spectral Calibration of MarSCoDe Laser-Induced Breakdown Spectroscopy on the Zhurong Rover. Remote Sensing. 14(23). 5964–5964. 5 indexed citations
9.
10.
Liu, Xiangfeng, Weiming Xu, Luning Li, et al.. (2022). Comparison on Quantitative Analysis of Olivine Using MarSCoDe Laser-Induced Breakdown Spectroscopy in a Simulated Martian Atmosphere. Remote Sensing. 14(21). 5612–5612. 2 indexed citations
11.
Cai, Wenjian, et al.. (2022). Hydrodynamics of supercritical ethanol fluid-particles fluidization using low density ratio kinetic theory of granular flow. Chemical Engineering Science. 260. 117926–117926. 2 indexed citations
12.
Li, Luning, et al.. (2022). A Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars. Remote Sensing. 14(9). 1954–1954. 3 indexed citations
13.
Li, Luning, Weiming Xu, Xiangfeng Liu, et al.. (2022). Laser-induced breakdown spectroscopy combined with a convolutional neural network: A promising methodology for geochemical sample identification in Tianwen-1 Mars mission. Spectrochimica Acta Part B Atomic Spectroscopy. 192. 106417–106417. 22 indexed citations
14.
He, Manchao, Shan Guo, Jun Yang, et al.. (2022). Investigation on the key techniques and application of the new-generation automatically formed roadway without coal pillars by roof cutting. International Journal of Rock Mechanics and Mining Sciences. 152. 105058–105058. 48 indexed citations
15.
Li, Luning, Sohaib Aslam, Andrew Wileman, & Suresh Perinpanayagam. (2021). Digital Twin in Aerospace Industry: A Gentle Introduction. IEEE Access. 10. 9543–9562. 146 indexed citations
16.
Wang, Zhao‐Qi, Lei Liu, Guang Yang, et al.. (2021). First-order liquid-liquid phase transition in nitrogen-oxygen mixtures. Physical review. B.. 103(14). 4 indexed citations
17.
Li, Luning, et al.. (2021). A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis. Spectrochimica Acta Part B Atomic Spectroscopy. 180. 106183–106183. 118 indexed citations breakdown →
18.
Li, Luning, Xiangfeng Liu, Weiming Xu, Jianyu Wang, & Rong Shu. (2020). A laser-induced breakdown spectroscopy multi-component quantitative analytical method based on a deep convolutional neural network. Spectrochimica Acta Part B Atomic Spectroscopy. 169. 105850–105850. 59 indexed citations
19.
Sun, Xiulan, et al.. (2010). A Simple, Highly Sensitive, and Label-Free Impedimetric Immunosensor for Detection of Microcystin-LR in Water. Analytical Letters. 43(4). 533–544. 13 indexed citations
20.
Yan, Junjie, Dan Zhang, Daotong Chong, Guifang Wang, & Luning Li. (2010). Experimental study on static/circulatory flash evaporation. International Journal of Heat and Mass Transfer. 53(23-24). 5528–5535. 51 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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