Xiaolan Li

887 citations
51 papers · 662 · h-index 12

Impact in

Papers in

Xiaolan Li

49 papers receiving 624 citations

Peers

Xiaolan Li
Comparison fields: 5 of 79
  • Artificial Intelligence 330
  • Atomic and Molecular Physics, and Optics 265
  • Statistics, Probability and Uncertainty 38
  • Computer Vision and Pattern Recognition 108
  • Environmental Engineering 62
Replace Antonio Angrisano with:
Antonio Angrisano Italy
M. Zahidul H. Bhuiyan Finland
Maarten Uijt de Haag United States
Jinfu Chen China
Xiao Liang China
Sarang Thombre Finland
Andrey Soloviev United States
Sherman Lo United States
P. Misra United States
Xiaolan Li relative to Antonio Angrisano Italy Antonio Angrisano's profile →
Citations per field
00.5×3.2×
Antonio Angrisano · 1×
Citations per year

Countries citing papers authored by Xiaolan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013119
2 201793
3 201666
4 201557
5 201924
6 201722
7 200918
8
Statistical Method of Lightning Parameters
200717
9
Research on Technology of Lightning Disaster Risk Assessment for Power System
201115
10 202314
11 202213
12 202311
13 200811
14 201711
15 201311
16 201311
17 201110
18 20219
19 20229
20 20109

About Xiaolan Li

Xiaolan Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Environmental Engineering, having authored 51 papers that have together received 662 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (8 papers), Quantum Computing Algorithms and Architecture (6 papers), Soil Geostatistics and Mapping (6 papers), Evaluation Methods in Various Fields (5 papers), Advanced Decision-Making Techniques (5 papers), Geochemistry and Geologic Mapping (3 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Atomic and Molecular Physics, and Optics (265 citations), Statistics, Probability and Uncertainty (38 citations), Computer Vision and Pattern Recognition (108 citations) and Environmental Engineering (62 citations). Xiaolan Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuanhua Li, Ming-huang Sang, Yi-you Nie, Zisheng Wang, Afzal Godil, Yujie Zhang, Yan Tian, Xun Wang, Judith Gelernter and Guohai Chen. Their work appears in journals such as Applied Intelligence, PeerJ Computer Science, Structural and Multidisciplinary Optimization, Quantum Information Processing and Neurocomputing.

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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