Guangwu Lin
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
-
- MRI in cancer diagnosis 4
- Optical Imaging and Spectroscopy Techniques 3
- Radiomics and Machine Learning in Medical Imaging 3
-
- Cerebrospinal fluid and hydrocephalus 6
- Co-authors
- Lixia Wang (2 shared papers)Shihong Li (19 shared papers)Kan Liu (1 shared paper)Wenjun Huang (7 shared papers)Ming Ji (4 shared papers)Yu Jiang (3 shared papers)Zihan Xu (2 shared papers)Xinxin Xu (4 shared papers)
- Journals
- Frontiers in Aging Neuroscience (5 papers)Frontiers in Neuroscience (3 papers)Frontiers in Oncology (3 papers)Neural Plasticity (2 papers)Cancer Imaging (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Guangwu Lin
39 papers receiving 347 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 9
- Otorhinolaryngology 22
- Radiology, Nuclear Medicine and Imaging 96
- Reproductive Medicine 29
- Critical Care and Intensive Care Medicine 12
Countries citing papers authored by Guangwu Lin
This map shows the geographic impact of Guangwu 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 Guangwu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangwu Lin more than expected).
Fields of papers citing papers by Guangwu Lin
This network shows the impact of papers produced by Guangwu 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 Guangwu Lin. The network helps show where Guangwu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangwu Lin, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2015 | 45 | |
| 3 | 2013 | 28 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 16 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2009 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2011 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2009 | 5 |
About Guangwu Lin
Guangwu Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Genetics, Cognitive Neuroscience and Critical Care and Intensive Care Medicine, having authored 40 papers that have together received 350 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (6 papers), MRI in cancer diagnosis (4 papers), Intensive Care Unit Cognitive Disorders (4 papers), Functional Brain Connectivity Studies (4 papers), Glioma Diagnosis and Treatment (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Moyamoya disease diagnosis and treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (9 citations), Otorhinolaryngology (22 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Reproductive Medicine (29 citations) and Critical Care and Intensive Care Medicine (12 citations). Guangwu Lin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Lixia Wang, Shihong Li, Kan Liu, Wenjun Huang, Ming Ji, Yu Jiang, Zihan Xu, Xinxin Xu, Xingyu Zhao and Xiaodong Wu. Their work appears in journals such as Frontiers in Aging Neuroscience, Frontiers in Neuroscience, Frontiers in Oncology, Neural Plasticity and Cancer Imaging.
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.