Junxi Li

47 papers receiving 1.7k citations

Junxi Li's Hit Papers

RingMo: A Remote Sensing Foundation Model With Masked Image Modeling 2022 · 247 citations
2470+1+2Years since publication50100150200

Peers

Junxi Li
Comparison fields: 5 of 69
  • Renewable Energy, Sustainability and the Environment 621
  • Media Technology 323
  • Surfaces, Coatings and Films 98
  • Computer Vision and Pattern Recognition 244
  • Water Science and Technology 165
Replace Yunlong Yu with:
Yunlong Yu China
Haixu Wang China
Lingjie Yu China
Hao Jiang Canada
Zhongbin Li China
Guifeng Zhang China
Hu-Lin Li China
Kang Jiang China
Xiaohua Li China
Jingming Wang China
Junxi Li relative to Yunlong Yu China Yunlong Yu's profile →
Citations per field
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Yunlong Yu · 1×
Citations per year

Countries citing papers authored by Junxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Junxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junxi 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 Junxi Li Line = papers co-authored together Junxi 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
RingMo: A Remote Sensing Foundation Model With Masked Image Modeling
Hit paper breakdown →
2022247
2 2023180
3 201999
4 202399
5 201881
6 202360
7 201954
8 201652
9 202351
10 202250
11 202450
12 202348
13 202043
14 202243
15 202343
16 201942
17 202240
18 202234
19 201932
20 202232

About Junxi Li

Junxi Li is a scholar working on Renewable Energy, Sustainability and the Environment, Computer Vision and Pattern Recognition, Media Technology, Organic Chemistry and Biomedical Engineering, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (11 papers), Nanomaterials for catalytic reactions (10 papers), Environmental remediation with nanomaterials (9 papers), Advanced Neural Network Applications (9 papers), Remote-Sensing Image Classification (6 papers), Advanced Photocatalysis Techniques (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Catalysis and Hydrodesulfurization Studies (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (621 citations), Media Technology (323 citations), Surfaces, Coatings and Films (98 citations), Computer Vision and Pattern Recognition (244 citations) and Water Science and Technology (165 citations). Junxi Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yuan Pan, Guangming Jiang, Xian Sun, Xiaoshu Lv, Yunqi Liu, Xiaonan Lü, Fan Dong, Peijin Wang, Wenhui Diao and Song Shu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Chemical Engineering Journal, Applied Surface Science, International Journal of Applied Earth Observation and Geoinformation and ACS Catalysis.

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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