Lin Lei

3.4k citations
110 papers · 2.6k · 1 hit paper · h-index 26

Impact in

Papers in

Lin Lei

105 papers receiving 2.6k citations

Lin Lei's Hit Papers

Multi-scale object detection in remote sensing imagery with convolutional neural networks 2018 · 429 citations
4290+2+5Years since publication100200300400

Peers

Lin Lei
Comparison fields: 5 of 99
  • Media Technology 1.4k
  • Computer Vision and Pattern Recognition 1.1k
  • Atmospheric Science 497
  • Aerospace Engineering 492
  • Ocean Engineering 209
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Feng Gao China
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Menglong Yan China
Hao Sun China
Xin Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Lin Lei

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-scale object detection in remote sensing imagery with convolutional neural networks
Hit paper breakdown →
2018429
2 2017242
3 2021145
4 2021136
5 2020135
6 2017114
7 202077
8 202177
9 202271
10 201766
11 200960
12 200655
13 202053
14 202449
15 202443
16 202041
17 202039
18 202039
19 202037
20 202134

About Lin Lei

Lin Lei is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Aerospace Engineering, Atmospheric Science and Ecology, having authored 110 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (40 papers), Advanced Image and Video Retrieval Techniques (25 papers), Remote Sensing and Land Use (20 papers), Advanced Neural Network Applications (13 papers), Remote Sensing in Agriculture (12 papers), Robotics and Sensor-Based Localization (11 papers), Advanced Image Fusion Techniques (9 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Media Technology (1.4k citations), Computer Vision and Pattern Recognition (1.1k citations), Atmospheric Science (497 citations), Aerospace Engineering (492 citations) and Ocean Engineering (209 citations). Lin Lei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gangyao Kuang, Yuli Sun, Shilin Zhou, Zhipeng Deng, Huanxin Zou, Xiao Li, Dongdong Guan, Tianyu Tang, Hao Sun and Juanping Zhao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 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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