Changlu Guo
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
Papers in
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- Identification and Quantification in Food 3
- Advanced biosensing and bioanalysis techniques 3
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- Marine Toxins and Detection Methods 5
- Co-authors
- Márton Szemenyei (4 shared papers)Wenle Wang (3 shared papers)Yugen Yi (2 shared papers)Wei Zhou (5 shared papers)Guofu Chen (9 shared papers)Chunyun Zhang (8 shared papers)Pei Yang (1 shared paper)Jin Zhou (4 shared papers)
In The Last Decade
Changlu Guo
23 papers receiving 618 citations
Changlu Guo's Hit Papers
Peers
Comparison fields: 5 of 101
- Ophthalmology 136
- Radiology, Nuclear Medicine and Imaging 281
- Computer Vision and Pattern Recognition 240
- Environmental Chemistry 67
- Neurology 43
Countries citing papers authored by Changlu Guo
This map shows the geographic impact of Changlu Guo'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 Changlu Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlu Guo more than expected).
Fields of papers citing papers by Changlu Guo
This network shows the impact of papers produced by Changlu Guo. 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 Changlu Guo. The network helps show where Changlu Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Changlu Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation Hit paper breakdown → | 2021 | 282 |
| 2 | 2019 | 63 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 29 | |
| 5 | 2019 | 26 | |
| 6 | 2015 | 23 | |
| 7 | 2020 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2013 | 10 | |
| 15 | [Expressions of LEAFY homologous genes in different organs and stages of Ginkgo biloba]. | 2005 | 9 |
| 16 | 2015 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2012 | 4 | |
| 19 | 2018 | 2 | |
| 20 | 2019 | 2 |
About Changlu Guo
Changlu Guo is a scholar working on Molecular Biology, Environmental Chemistry, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Oceanography, having authored 28 papers that have together received 635 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Marine Toxins and Detection Methods (5 papers), Digital Imaging for Blood Diseases (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Identification and Quantification in Food (3 papers), Marine and coastal ecosystems (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Ophthalmology (136 citations), Radiology, Nuclear Medicine and Imaging (281 citations), Computer Vision and Pattern Recognition (240 citations), Environmental Chemistry (67 citations) and Neurology (43 citations). Changlu Guo has collaborated with scholars based in China, Hungary and Denmark. Frequent co-authors include Márton Szemenyei, Wenle Wang, Yugen Yi, Wei Zhou, Guofu Chen, Chunyun Zhang, Pei Yang, Jin Zhou, Yuanyuan Wang and Guangfeng Kan. Their work appears in journals such as Harmful Algae, Fish & Shellfish Immunology, Critical Reviews in Analytical Chemistry, Marine Pollution Bulletin and The Science of The Total Environment.
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.