Yanzhou Su

757 citations
27 papers · 327 · 1 hit paper · h-index 10

Impact in

Papers in

Yanzhou Su

25 papers receiving 322 citations

Yanzhou Su's Hit Papers

Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review 2024 · 58 citations
580+1Years since publication1020304050

Peers

Yanzhou Su
Comparison fields: 5 of 53
  • Media Technology 87
  • Computer Vision and Pattern Recognition 198
  • Radiology, Nuclear Medicine and Imaging 41
  • Artificial Intelligence 59
  • Health Informatics 2
Replace Shubham Innani with:
Shubham Innani United States
Mina Al-Saad United Arab Emirates
Olivier Rukundo Denmark
Bitao Jiang China
Ahmed Mohammed Norway
Vladimir Khryashchev Russia
Reham Al-Dayil Saudi Arabia
Nour Aburaed United Arab Emirates
Yimin Luo China
Yanzhou Su relative to Shubham Innani United States Shubham Innani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yanzhou Su

Since Specialization
Citations

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

Fields of papers citing papers by Yanzhou Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Hit paper breakdown →
202458
3 202225
4 202224
5 202320
6 202217
7 202314
8 201914
9 202212
10 202110
11 20229
12 20247
13 20255
14 20254
15 20243
16 20223
17 20233
18 20252
19 20212
20 20192

About Yanzhou Su

Yanzhou Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 27 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Remote-Sensing Image Classification (7 papers), Colorectal Cancer Screening and Detection (6 papers), Advanced Image Fusion Techniques (4 papers), AI in cancer detection (3 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Media Technology (87 citations), Computer Vision and Pattern Recognition (198 citations), Radiology, Nuclear Medicine and Imaging (41 citations), Artificial Intelligence (59 citations) and Health Informatics (2 citations). Yanzhou Su has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jian Cheng, Haijun Liu, Junjun He, Jin Ye, Jian Cheng, Changtao He, Min Wang, Chengzhi Jiang, Yongjian Wu and Wang Feng. Their work appears in journals such as Biomedical Signal Processing and Control, Neurocomputing, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Industrial Informatics.

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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