Lingjun Zhao

2.1k citations
67 papers · 1.6k · h-index 19

Impact in

Papers in

Lingjun Zhao

65 papers receiving 1.6k citations

Peers

Lingjun Zhao
Comparison fields: 5 of 90
  • Media Technology 362
  • Computer Vision and Pattern Recognition 798
  • Aerospace Engineering 857
  • Ocean Engineering 215
  • Oceanography 151
Replace Boli Xiong with:
Boli Xiong China
Huanxin Zou China
Xi Yang China
Yue Zhou China
Zongxu Pan China
Zongyong Cui China
Deliang Xiang China
Lingjun Zhao relative to Boli Xiong China Boli Xiong's profile →
Citations per field
00.5×3.1×
Boli Xiong · 1×
Citations per year

Countries citing papers authored by Lingjun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008291
2 2012239
3 2020218
4 201297
5 201378
6 202063
7 201447
8 202146
9 202145
10 202142
11 201337
12 201837
13 202132
14 201226
15 202426
16 201926
17 202222
18 202322
19 200822
20 202415

About Lingjun Zhao

Lingjun Zhao is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering and Computational Mechanics, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (39 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (23 papers), Domain Adaptation and Few-Shot Learning (12 papers), Geophysical Methods and Applications (11 papers), Sparse and Compressive Sensing Techniques (10 papers), Advanced Neural Network Applications (8 papers), Remote-Sensing Image Classification (7 papers) and Underwater Acoustics Research (6 papers). The work is most often cited by research in Media Technology (362 citations), Computer Vision and Pattern Recognition (798 citations), Aerospace Engineering (857 citations), Ocean Engineering (215 citations) and Oceanography (151 citations). Lingjun Zhao has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Gangyao Kuang, Li Liu, Yan Zhao, Boli Xiong, Gongtao Shi, Gui Gao, Paul Fieguth, Yunli Long, Deliang Xiang and Kefeng Ji. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing Letters and ISPRS Journal of Photogrammetry and Remote Sensing.

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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