Jonathan Li

645 papers receiving 19.0k citations

Jonathan Li's Hit Papers

An attention-based multiscale transformer network for remote sensing image change detection 2023 · 111 citations
1110+3+6Years since publication50010001.5k

Peers

Jonathan Li
Comparison fields: 5 of 188
  • Geology 4.6k
  • Environmental Engineering 7.6k
  • Media Technology 4.0k
  • Computer Vision and Pattern Recognition 4.6k
  • Ocean Engineering 2.5k
Replace Uwe Stilla with:
Uwe Stilla Germany
George Vosselman Netherlands
Qingquan Li China
Cheng Wang China
Konrad Schindler Switzerland
Juha Hyyppä Finland
Hengshuang Zhao Hong Kong
Xiaohua Tong China
Jie Shan United States
Liang-Chieh Chen United States
Jonathan Li relative to Uwe Stilla Germany Uwe Stilla's profile →
Citations per field
00.5×4.2×
Uwe Stilla · 1×
Citations per year

Countries citing papers authored by Jonathan Li

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 669 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
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20171516
2
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
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2020413
3
Review: Deep Learning on 3D Point Clouds
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2020273
4 2013230
5
A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices
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2020221
6 2013211
7
The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management
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2022199
8 2008199
9 2012194
10 2018186
11
The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot
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2023184
12 2016176
13
Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework
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2021175
14 2019171
15 2014171
16 2003162
17 2013158
18 2019155
19 2016148
20 2015148

About Jonathan Li

Jonathan Li is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition, Geology, Media Technology and Aerospace Engineering, having authored 669 papers that have together received 19.4k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (286 papers), 3D Surveying and Cultural Heritage (170 papers), Remote-Sensing Image Classification (84 papers), Remote Sensing in Agriculture (78 papers), Automated Road and Building Extraction (76 papers), Robotics and Sensor-Based Localization (65 papers), 3D Shape Modeling and Analysis (58 papers) and Advanced Neural Network Applications (56 papers). The work is most often cited by research in Geology (4.6k citations), Environmental Engineering (7.6k citations), Media Technology (4.0k citations), Computer Vision and Pattern Recognition (4.6k citations) and Ocean Engineering (2.5k citations). Jonathan Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Cheng Wang, Michael A. Chapman, Zilong Zhong, Yongtao Yu, Haiyan Guan, Zhiming Luo, Lingfei Ma, Chenglu Wen, José Marcato and Ming Cheng. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and IEEE Transactions on Intelligent Transportation Systems.

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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