Guochen Ning
Impact in
- Health Informatics top 5%
- General Dentistry top 10%
Papers in
-
- Soft Robotics and Applications 8
- Optical Coherence Tomography Applications 3
-
- Medical Image Segmentation Techniques 7
- Advanced Neural Network Applications 4
- Augmented Reality Applications 4
- Co-authors
- Hongen Liao (37 shared papers)Xinran Zhang (9 shared papers)Longfei Ma (13 shared papers)Boyu Zhang (1 shared paper)Weipeng Jiang (1 shared paper)Qin Zhang (1 shared paper)Zhibiao Wang (1 shared paper)Qing Chang (1 shared paper)
In The Last Decade
Guochen Ning
36 papers receiving 507 citations
Guochen Ning's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 26
- General Dentistry 12
- Computer Vision and Pattern Recognition 153
- Oral Surgery 37
- Biomedical Engineering 183
Countries citing papers authored by Guochen Ning
This map shows the geographic impact of Guochen Ning'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 Guochen Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guochen Ning more than expected).
Fields of papers citing papers by Guochen Ning
This network shows the impact of papers produced by Guochen Ning. 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 Guochen Ning. The network helps show where Guochen Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Guochen Ning, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 98 | |
| 2 | 2021 | 67 | |
| 3 | UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation Hit paper breakdown → | 2025 | 37 |
| 4 | 2020 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2023 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2023 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Guochen Ning
Guochen Ning is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 515 indexed citations. Recurring topics across this work include Soft Robotics and Applications (8 papers), Medical Image Segmentation Techniques (7 papers), AI in cancer detection (5 papers), Ultrasound Imaging and Elastography (5 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Augmented Reality Applications (4 papers) and Optical Coherence Tomography Applications (3 papers). The work is most often cited by research in Health Informatics (26 citations), General Dentistry (12 citations), Computer Vision and Pattern Recognition (153 citations), Oral Surgery (37 citations) and Biomedical Engineering (183 citations). Guochen Ning has collaborated with scholars based in China, Portugal and Germany. Frequent co-authors include Hongen Liao, Xinran Zhang, Longfei Ma, Boyu Zhang, Weipeng Jiang, Qin Zhang, Zhibiao Wang, Qing Chang, Yinghao Liu and Renkai Wu. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Medical Robotics and Bionics.
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.