Xiaorun Li

1.1k citations
72 papers · 838 · h-index 16

Impact in

Papers in

Xiaorun Li

68 papers receiving 820 citations

Peers

Xiaorun Li
Comparison fields: 5 of 70
  • Media Technology 517
  • Atmospheric Science 278
  • Aerospace Engineering 240
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 152
Replace Heng-Chao Li with:
Heng-Chao Li China
Shou Feng China
Xiaorun Li China
Yunhao Gao China
Nicola Acito Italy
Roel Heremans Belgium
Kang Sun China
Jianjun Liu China
Yanni Dong China
Yuanchao Su China
Xiaorun Li relative to Heng-Chao Li China Heng-Chao Li's profile →
Citations per field
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Heng-Chao Li · 1×
Citations per year

Countries citing papers authored by Xiaorun Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022113
2 201996
3 201879
4 201937
5 201636
6 202232
7 201927
8 202127
9 202027
10 201926
11 201223
12 201819
13 201818
14 202216
15 202016
16 202215
17 202115
18 202313
19 202112
20 202312

About Xiaorun Li

Xiaorun Li is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 72 papers that have together received 838 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (48 papers), Remote Sensing and Land Use (33 papers), Advanced Image Fusion Techniques (24 papers), Infrared Target Detection Methodologies (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers), Image and Signal Denoising Methods (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Media Technology (517 citations), Atmospheric Science (278 citations), Aerospace Engineering (240 citations), Computational Mathematics (5 citations) and Computer Vision and Pattern Recognition (152 citations). Xiaorun Li has collaborated with scholars based in China and United States. Frequent co-authors include Liaoying Zhao, Chaoqun Xia, Shuhan Chen, Wenqiang Zhang, Yuan Luo, Bormin Huang, Jing Li, Shaoqi Yu, Aiqin Shi and Dongling Li. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Electronics.

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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