Yubao Guan

958 total citations
49 papers, 694 citations indexed

About

Yubao Guan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Yubao Guan has authored 49 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Yubao Guan's work include Lung Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Lung Cancer Treatments and Mutations (10 papers). Yubao Guan is often cited by papers focused on Lung Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Lung Cancer Treatments and Mutations (10 papers). Yubao Guan collaborates with scholars based in China, United States and United Kingdom. Yubao Guan's co-authors include Jianxing He, Dashan Gao, Bin Zheng, Shouliang Qi, Wei Qian, Nanshan Zhong, Hong Liu, Wei Qian, Maxine Tan and Yuchen Qiu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and American Journal of Roentgenology.

In The Last Decade

Yubao Guan

46 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yubao Guan China 16 459 412 107 98 96 49 694
Ece Ateş Kuş Türkiye 11 320 0.7× 635 1.5× 99 0.9× 186 1.9× 116 1.2× 15 731
Elżbieta Łuczyńska Poland 13 315 0.7× 294 0.7× 78 0.7× 49 0.5× 149 1.6× 53 573
Beibei Jiang China 14 260 0.6× 378 0.9× 70 0.7× 126 1.3× 47 0.5× 33 582
Hao Yang China 16 361 0.8× 449 1.1× 159 1.5× 113 1.2× 72 0.8× 71 770
Baher Elgohari United States 16 177 0.4× 323 0.8× 109 1.0× 101 1.0× 71 0.7× 33 616
H. Geng United States 10 184 0.4× 288 0.7× 47 0.4× 83 0.8× 55 0.6× 26 509
Massimo Imbriaco Italy 18 461 1.0× 475 1.2× 41 0.4× 74 0.8× 72 0.8× 32 846
Mohammad Taghi Bahreyni Toossi Iran 12 210 0.5× 281 0.7× 82 0.8× 170 1.7× 34 0.4× 72 552
Mingzhu Liang China 12 518 1.1× 459 1.1× 76 0.7× 117 1.2× 44 0.5× 31 739
Xinming Zhao China 12 297 0.6× 530 1.3× 215 2.0× 127 1.3× 55 0.6× 45 710

Countries citing papers authored by Yubao Guan

Since Specialization
Citations

This map shows the geographic impact of Yubao Guan'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 Yubao Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yubao Guan more than expected).

Fields of papers citing papers by Yubao Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yubao Guan. 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 Yubao Guan. The network helps show where Yubao Guan may publish in the future.

Co-authorship network of co-authors of Yubao Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Yubao Guan. A scholar is included among the top collaborators of Yubao Guan 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 Yubao Guan. Yubao Guan 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.
Guan, Yubao, et al.. (2025). A Lightweight Dual-Output Vision Transformer for Enhanced Lung Nodule Classification Using CT Images. Technology in Cancer Research & Treatment. 24. 2244112327–2244112327.
2.
Wen, Yanhua, et al.. (2025). Predicting pathological subtypes of pure ground-glass nodules using Swin Transformer deep learning model. Insights into Imaging. 16(1). 223–223.
3.
Guan, Yubao, et al.. (2025). CT-based radiomics: A potential indicator of KRAS mutation in pulmonary adenocarcinoma. Tumori Journal. 111(2). 147–157. 1 indexed citations
4.
5.
Wen, Yanhua, et al.. (2024). Prediction of Malignancy and Pathological Types of Solid Lung Nodules on CT Scans Using a Volumetric SWIN Transformer. Journal of Imaging Informatics in Medicine. 38(3). 1509–1517. 1 indexed citations
6.
Qi, Shouliang, Yanan Wu, Yong Yue, et al.. (2023). Deep radiomic model based on the sphere–shell partition for predicting treatment response to chemotherapy in lung cancer. Translational Oncology. 35. 101719–101719. 3 indexed citations
7.
Qi, Shouliang, Yanan Wu, Yong Yue, et al.. (2022). Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images. Scientific Reports. 12(1). 19829–19829. 10 indexed citations
8.
Zhang, Qingling, et al.. (2019). Uncontrolled asthma phenotypes defined from parameters using quantitative CT analysis. European Radiology. 29(6). 2848–2858. 11 indexed citations
9.
10.
Liu, Hui, et al.. (2018). A new approach to predict lymph node metastasis in solid lung adenocarcinoma: a radiomics nomogram. Journal of Thoracic Disease. 10(S7). S807–S819. 61 indexed citations
11.
He, Jianxing, et al.. (2018). CT-based radiomics signature for differentiating solitary granulomatous nodules from solid lung adenocarcinoma. Lung Cancer. 125. 109–114. 57 indexed citations
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15.
He, Ping, et al.. (2016). Diagnosis of lung adenocarcinoma in situ and minimally invasive adenocarcinoma from intraoperative frozen sections: an analysis of 136 cases. Journal of Clinical Pathology. 69(12). 1076–1080. 30 indexed citations
16.
Yan, Shiju, Wei Qian, Yubao Guan, & Bin Zheng. (2016). Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method. Medical Physics. 43(6Part1). 2694–2703. 19 indexed citations
17.
Xia, Tingting, et al.. (2014). Primary Small Cell Neuroendocrine Carcinoma of the Mediastinum. Journal of Computer Assisted Tomography. 38(2). 174–178. 6 indexed citations
18.
Liu, Xiang, Jun Liu, Yubao Guan, et al.. (2012). Establishment of an orthotopic lung cancer model in nude mice and its evaluation by spiral CT.. PubMed. 4(2). 141–5. 26 indexed citations
19.
Guan, Yubao, Qingsi Zeng, Haihong Yang, et al.. (2011). Pulmonary alveolar proteinosis: Quantitative CT and pulmonary functional correlations. European Journal of Radiology. 81(9). 2430–2435. 7 indexed citations
20.
Liu, Jun, Daoyuan Wang, Hanzhang Chen, et al.. (2010). Video-Assisted Thoracoscopic Surgery (VATS) for Patients with Solitary Fibrous Tumors of the Pleura. Journal of Thoracic Oncology. 5(2). 240–243. 17 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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