Yinlong Liu

2.3k citations
80 papers · 1.6k indexed · 1 hit paper · h-index 21

Yinlong Liu

69 papers receiving 1.5k citations

Hit Papers

A Survey of the Four Pillars for Small Object Detection: ...221202020262022202450100150200

Peers

Yinlong Liu
Comparison fields: 5 of 146
  • Geology 98
  • Computer Vision and Pattern Recognition 323
  • Neurology 188
  • Aerospace Engineering 274
  • Neurology 86
Replace Jing Qin with:
Jing Qin China
Hongtao Wu China
Jing Huo China
Tong Yang China
Hongtao Wu China
Tianye Li China
Jian Zhu China
Changqing Zhou China
Anders Bjorholm Dahl Denmark
Linyuan Zhang China
Yinlong Liu relative to Jing Qin China Jing Qin's profile →
Citations per field
00.5×3.9×
Jing Qin · 1×
Citations per year

Countries citing papers authored by Yinlong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yinlong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20241
4 20240
5 202322
6 20235
7 202310
8 202314
9 202314
10 20226
11 202196
12 20215
13 20215
14 202129
15
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
20204
16
A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposalbreakdown →
2020221
17 202013
18 201993
19 201823
20 20101

About Yinlong Liu

Yinlong Liu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (25 papers), Advanced Vision and Imaging (11 papers), Heat transfer and supercritical fluids (8 papers), Image and Object Detection Techniques (7 papers), Optical measurement and interference techniques (5 papers), MicroRNA in disease regulation (5 papers), 3D Surveying and Cultural Heritage (5 papers) and Advanced Combustion Engine Technologies (5 papers). The work is most often cited by research in Geology (98 citations), Computer Vision and Pattern Recognition (323 citations) and Neurology (188 citations). Yinlong Liu has collaborated with scholars based in China, Germany and Macao. Frequent co-authors include Xiupeng Xu, Honglu Chao, Alois Knoll, Guang Chen, Zhongyuan Bao, Jing Ji, Chao Lin, Zhijun Li, Zheng Li and Yongping You. Their work appears in journals such as Nature Communications, Journal of Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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