Guangwu Lin

589 total citations
41 papers, 330 citations indexed

About

Guangwu Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Surgery. According to data from OpenAlex, Guangwu Lin has authored 41 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Neurology and 6 papers in Surgery. Recurrent topics in Guangwu Lin's work include Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (9 papers) and Cerebrospinal fluid and hydrocephalus (6 papers). Guangwu Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (9 papers) and Cerebrospinal fluid and hydrocephalus (6 papers). Guangwu Lin collaborates with scholars based in China, United States and Macao. Guangwu Lin's co-authors include Lixia Wang, Shihong Li, Kan Liu, Ming Ji, Wenjun Huang, Yu Jiang, Zihan Xu, Xinxin Xu, Jiayi Zhang and Yan Zhang and has published in prestigious journals such as Scientific Reports, Medicine and Radiotherapy and Oncology.

In The Last Decade

Guangwu Lin

39 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guangwu Lin China 10 161 69 54 51 42 41 330
Yoko Satoh Japan 13 289 1.8× 40 0.6× 23 0.4× 44 0.9× 40 1.0× 37 617
Atsushi Tani Japan 14 391 2.4× 85 1.2× 53 1.0× 64 1.3× 11 0.3× 45 590
Yu‐Chin Wu Taiwan 12 90 0.6× 65 0.9× 55 1.0× 48 0.9× 7 0.2× 58 468
Benjapa Khiewvan Thailand 9 182 1.1× 50 0.7× 29 0.5× 28 0.5× 55 1.3× 17 350
Jiliang Ren China 14 363 2.3× 61 0.9× 25 0.5× 20 0.4× 10 0.2× 27 516
Zhenyu Shu China 18 550 3.4× 172 2.5× 66 1.2× 59 1.2× 12 0.3× 50 692
L Steyaert Belgium 9 244 1.5× 34 0.5× 98 1.8× 46 0.9× 11 0.3× 31 491
Walter Del Vecchio Italy 11 58 0.4× 95 1.4× 16 0.3× 44 0.9× 22 0.5× 23 376
Kamal Sahni India 11 158 1.0× 36 0.5× 20 0.4× 47 0.9× 20 0.5× 40 375

Countries citing papers authored by Guangwu Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Guangwu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guangwu Lin. A scholar is included among the top collaborators of Guangwu Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangwu Lin. Guangwu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, L., et al.. (2025). Individual-level cortical morphological network analysis in idiopathic normal pressure hydrocephalus: diagnostic and prognostic insights. Fluids and Barriers of the CNS. 22(1). 43–43. 1 indexed citations
2.
3.
Li, Shihong, Yan‐Ping Ren, Hongbo Gao, et al.. (2024). Development and validation of a lung biological equivalent dose-based multiregional radiomic model for predicting symptomatic radiation pneumonitis after SBRT in lung cancer patients. Frontiers in Oncology. 14. 1489217–1489217. 3 indexed citations
4.
Xu, Xiang, Andong Ma, Xianlong Wang, et al.. (2024). Dynamic glucose‐enhanced MRI of gliomas: A preliminary clinical application. NMR in Biomedicine. 38(1). e5265–e5265. 4 indexed citations
5.
Liu, Wei, Xinxin Xu, Ye Yao, et al.. (2024). Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype. Cancer Imaging. 24(1). 80–80. 2 indexed citations
6.
Huang, Xiangpeng, Changping Li, Yuee Li, et al.. (2024). Effects of significant emission changes on PM2.5 chemical composition and optical properties from 2019 to 2021 in a typical industrial city of eastern China. Atmospheric Research. 301. 107287–107287. 5 indexed citations
7.
Yang, Yifeng, et al.. (2024). Improve the diagnosis of idiopathic normal pressure hydrocephalus by combining abnormal cortical thickness and ventricular morphometry. Frontiers in Aging Neuroscience. 16. 1338755–1338755. 1 indexed citations
8.
9.
Li, Kefeng, Yao Deng, Xinxin Xu, et al.. (2023). An initial study on the predictive value using multiple MRI characteristics for Ki-67 labeling index in glioma. Journal of Translational Medicine. 21(1). 119–119. 12 indexed citations
10.
11.
Yao, Ye, et al.. (2022). Preoperative and Noninvasive Prediction of Gliomas Histopathological Grades and IDH Molecular Types Using Multiple MRI Characteristics. Frontiers in Oncology. 12. 873839–873839. 11 indexed citations
12.
Jiang, Yu, et al.. (2022). Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions. Journal of Cancer Research and Clinical Oncology. 149(6). 2575–2584. 15 indexed citations
13.
14.
Jiang, Zhaoshun, Xixue Zhang, Yating Lv, et al.. (2021). Predicting Delayed Neurocognitive Recovery After Non-cardiac Surgery Using Resting-State Brain Network Patterns Combined With Machine Learning. Frontiers in Aging Neuroscience. 13. 715517–715517. 7 indexed citations
15.
Jian, Junming, Yongai Li, Perry J. Pickhardt, et al.. (2020). MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers. European Radiology. 31(1). 403–410. 61 indexed citations
16.
Li, Shihong, et al.. (2020). Using SEMAC at 3 T MR to evaluate spinal metallic implants and peripheral soft tissue lesions. Medicine. 99(25). e20139–e20139. 2 indexed citations
17.
18.
Li, Shihong, et al.. (2016). MRI characteristics for the differential diagnosis of benign and malignant small solitary hypovascular hepatic nodules. European Journal of Gastroenterology & Hepatology. 28(7). 749–756. 7 indexed citations
19.
Wang, Lixia, et al.. (2015). Primary hepatic neuroendocrine tumors: comparing CT and MRI features with pathology. Cancer Imaging. 15(1). 13–13. 45 indexed citations
20.
Lin, Guangwu, et al.. (2013). The use of MR imaging to detect residual versus recurrent nasopharyngeal carcinoma following treatment with radiation therapy. European Journal of Radiology. 82(12). 2240–2246. 27 indexed citations

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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