Zuguo Chen
Impact in
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Medical Image Segmentation Techniques
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- Industrial Vision Systems and Defect Detection
Papers in
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- Medical Image Segmentation Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Chaoyang Chen (6 shared papers)Ming Lu (7 shared papers)Feng Yan (1 shared paper)Ying Zou (3 shared papers)Youzhi Song (1 shared paper)Yimin Zhou (5 shared papers)Yonggang Li (3 shared papers)Xiaofang Chen (3 shared papers)
In The Last Decade
Zuguo Chen
28 papers receiving 358 citations
Zuguo Chen's Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 107
- Industrial and Manufacturing Engineering 48
- Control and Systems Engineering 54
- Artificial Intelligence 72
- Safety, Risk, Reliability and Quality 17
Countries citing papers authored by Zuguo Chen
This map shows the geographic impact of Zuguo Chen'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 Zuguo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuguo Chen more than expected).
Fields of papers citing papers by Zuguo Chen
This network shows the impact of papers produced by Zuguo Chen. 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 Zuguo Chen. The network helps show where Zuguo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zuguo Chen, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Channel prior convolutional attention for medical image segmentation Hit paper breakdown → | 2024 | 141 |
| 2 | 2020 | 31 | |
| 3 | 2020 | 27 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 21 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 11 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Zuguo Chen
Zuguo Chen is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 29 papers that have together received 370 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (3 papers), Medical Image Segmentation Techniques (2 papers), COVID-19 epidemiological studies (2 papers), Advanced Neural Network Applications (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Rough Sets and Fuzzy Logic (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Minerals Flotation and Separation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (107 citations), Industrial and Manufacturing Engineering (48 citations), Control and Systems Engineering (54 citations), Artificial Intelligence (72 citations) and Safety, Risk, Reliability and Quality (17 citations). Zuguo Chen has collaborated with scholars based in China and Australia. Frequent co-authors include Chaoyang Chen, Ming Lu, Feng Yan, Ying Zou, Youzhi Song, Yimin Zhou, Yonggang Li, Xiaofang Chen, Chunhua Yang and Weihua Gui. Their work appears in journals such as Information Sciences, Complexity, Electronics, Applied Sciences and The Canadian Journal of Chemical Engineering.
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.