Luning Li

918 citations
22 papers · 532 · 2 hit papers · h-index 9

Impact in

Papers in

Luning Li

19 papers receiving 513 citations

Luning Li's Hit Papers

A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis 2021 · 124 citations
1240+1+3Years since publication50100150

Peers

Luning Li
Comparison fields: 5 of 94
  • Analytical Chemistry 140
  • Industrial and Manufacturing Engineering 106
  • Mechanics of Materials 238
  • Archeology 52
  • Medical Laboratory Technology 7
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Citations per field
00.5×11.8×
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Citations per year

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-authors

The 25 scholars most cited alongside Luning Li, 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 Luning Li Line = papers co-authored together Luning Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital Twin in Aerospace Industry: A Gentle Introduction
Hit paper breakdown →
2021162
2
A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis
Hit paper breakdown →
2021124
3 202059
4 201052
5 202250
6 202223
7 202314
8 201013
9 202210
10 20225
11 20214
12 20223
13 20222
14 20232
15 20252
16 20192
17 20222
18 20241
19 20251
20 20111

About Luning Li

Luning Li is a scholar working on Mechanics of Materials, Analytical Chemistry, Archeology, Astronomy and Astrophysics and Control and Systems Engineering, having authored 22 papers that have together received 532 indexed citations. Recurring topics across this work include Laser-induced spectroscopy and plasma (11 papers), Analytical chemistry methods development (7 papers), Cultural Heritage Materials Analysis (5 papers), Planetary Science and Exploration (3 papers), Software System Performance and Reliability (2 papers), Phase Equilibria and Thermodynamics (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Analytical Chemistry (140 citations), Industrial and Manufacturing Engineering (106 citations), Mechanics of Materials (238 citations), Archeology (52 citations) and Medical Laboratory Technology (7 citations). Luning Li has collaborated with scholars based in China, United Kingdom and Finland. Frequent co-authors include Andrew Wileman, Suresh Perinpanayagam, Sohaib Aslam, Rong Shu, Weiming Xu, Xiangfeng Liu, Jianyu Wang, Dan Zhang, Guifang Wang and Manchao He. Their work appears in journals such as Remote Sensing, Spectrochimica Acta Part B Atomic Spectroscopy, Space Science Reviews, Analytical Letters and Applied Sciences.

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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