Xinyu Lin

1.2k citations
58 papers · 773 · h-index 13

Impact in

Papers in

Xinyu Lin

48 papers receiving 735 citations

Peers

Xinyu Lin
Comparison fields: 5 of 131
  • Radiology, Nuclear Medicine and Imaging 293
  • Computer Vision and Pattern Recognition 250
  • Pulmonary and Respiratory Medicine 252
  • Media Technology 45
  • Artificial Intelligence 155
Replace Mohammad Javad Shafiee with:
Mohammad Javad Shafiee Canada
Yazan Qiblawey Qatar
Deep Gupta India
Jingdan Zhang United States
Chiagoziem C. Ukwuoma China
Jumin Zhao China
Martin P. DeSimio United States
H. Khanna Nehemiah India
Necaattin Barışçı Türkiye
Xinyu Lin relative to Mohammad Javad Shafiee Canada Mohammad Javad Shafiee's profile →
Citations per field
00.5×
Mohammad Javad Shafiee · 1×
Citations per year

Countries citing papers authored by Xinyu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009227
2 200790
3 202252
4 201743
5 202242
6 202330
7 200723
8 202221
9 200719
10 201719
11 201218
12 202314
13 201914
14 201812
15 202411
16 202411
17 202410
18 20239
19 20068
20 20087

About Xinyu Lin

Xinyu Lin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 773 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Robotics and Sensor-Based Localization (12 papers), Image and Object Detection Techniques (8 papers), Advanced Neural Network Applications (6 papers), Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (293 citations), Computer Vision and Pattern Recognition (250 citations), Pulmonary and Respiratory Medicine (252 citations), Media Technology (45 citations) and Artificial Intelligence (155 citations). Xinyu Lin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jamshid Dehmeshki, Xujiong Ye, Gareth Beddoe, Greg Slabaugh, Yipeng Liu, Ce Zhu, Yingjie Zhou, Hongmei Ren, Yanxiang Chen and Luming Zhang. Their work appears in journals such as IEEE Signal Processing Letters, Optics Express, IEEE Transactions on Instrumentation and Measurement, Neurocomputing and IEEE Transactions on Circuits & Systems II Express Briefs.

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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