Hui Guan

466 total citations
28 papers, 308 citations indexed

About

Hui Guan is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Obstetrics and Gynecology. According to data from OpenAlex, Hui Guan has authored 28 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Radiation and 5 papers in Obstetrics and Gynecology. Recurrent topics in Hui Guan's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Radiotherapy Techniques (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Hui Guan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Radiotherapy Techniques (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Hui Guan collaborates with scholars based in China, United States and Netherlands. Hui Guan's co-authors include Zhikai Liu, Shaobin Wang, Jie Qiu, Jing Shen, Yu Chen, Xia Liu, Qi Chen, Yuliang Sun, Fuquan Zhang and Xiaorong Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Hui Guan

21 papers receiving 302 citations

Peers

Hui Guan
Gregg E. Franklin United States
Michael Roumeliotis Canada
Tony Tadic Canada
Ken‐Pin Hwang United States
Miki Haifler Israel
Sebastian Marschner Germany
J. Adam M. Cunha United States
Silvia Strolin Italy
Gregg E. Franklin United States
Hui Guan
Citations per year, relative to Hui Guan Hui Guan (= 1×) peers Gregg E. Franklin

Countries citing papers authored by Hui Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Guan. A scholar is included among the top collaborators of Hui 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 Hui Guan. Hui 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.
Hou, Xiaorong, Jing Shen, Hui Guan, et al.. (2025). A deep learning model to predict dose distributions for breast cancer radiotherapy. Discover Oncology. 16(1). 165–165.
2.
3.
Shi, Diwei, Hui Guan, Fan Liu, et al.. (2025). MRI cytometry imaging for cervical cancer differential diagnosis: a preliminary study. BMC Medical Imaging. 25(1). 474–474.
4.
Shen, Jing, et al.. (2025). Global time-trend analysis and projections of disease burden for neuroblastic tumors: a worldwide study from 1990 to 2021. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 51(1). 164–164.
5.
Shen, Jing, Hui Guan, Tingting Dong, et al.. (2023). Clinical Validation and Treatment Plan Evaluation Based on Autodelineation of the Clinical Target Volume for Prostate Cancer Radiotherapy. Technology in Cancer Research & Treatment. 22. 2223906771–2223906771. 11 indexed citations
6.
Guan, Hui, Guangyu Wang, Weiping Wang, et al.. (2023). Postoperative adjuvant radiotherapy for patients with upper tract urothelial carcinoma (UTUC) who underwent kidney-sparing surgery (KSS): a single-center study. Radiation Oncology. 18(1). 120–120. 2 indexed citations
7.
Li, Yuan, Jing Ren, Junjun Yang, et al.. (2022). MRI-derived radiomics analysis improves the noninvasive pretreatment identification of multimodality therapy candidates with early-stage cervical cancer. European Radiology. 32(6). 3985–3995. 5 indexed citations
8.
Ren, Jing, Yuan Li, Junjun Yang, et al.. (2022). MRI-based radiomics analysis improves preoperative diagnostic performance for the depth of stromal invasion in patients with early stage cervical cancer. Insights into Imaging. 13(1). 17–17. 13 indexed citations
9.
Guan, Hui, Jiabin Ma, Wenhui Wang, et al.. (2021). Risk of developing second malignant neoplasms in patients with neuroblastoma: a population study of the US SEER database. Radiation Oncology. 16(1). 7 indexed citations
10.
Liu, Zhikai, Wanqi Chen, Hui Guan, et al.. (2021). An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation. Frontiers in Oncology. 11. 702270–702270. 18 indexed citations
11.
Yan, Junfang, Jiawei Zhu, Ke Hu, et al.. (2021). Radiotherapy for Vaginal Recurrences of Cervical Cancer in Patients After Prior Surgery: Analysis of Effect and Prognostic Factors. Frontiers in Oncology. 11. 744871–744871. 1 indexed citations
12.
Liu, Zhikai, Wanqi Chen, Fuquan Zhang, et al.. (2021). Automatic Segmentation of Clinical Target Volume and Organs-at-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural Network. Cancer Management and Research. Volume 13. 8209–8217. 18 indexed citations
13.
Liu, Zhikai, Hui Guan, Jiabin Ma, et al.. (2021). Second Malignant Neoplasms in Patients With Rhabdomyosarcoma. Frontiers in Oncology. 11. 757095–757095. 2 indexed citations
14.
Liu, Zhikai, Wanqi Chen, Xiaorong Hou, et al.. (2021). Automatic Segmentation of Clinical Target Volumes for Post-Modified Radical Mastectomy Radiotherapy Using Convolutional Neural Networks. Frontiers in Oncology. 10. 581347–581347. 19 indexed citations
15.
Liu, Zhikai, Xia Liu, Hui Guan, et al.. (2020). Development and validation of a deep learning algorithm for auto-delineation of clinical target volume and organs at risk in cervical cancer radiotherapy. Radiotherapy and Oncology. 153. 172–179. 74 indexed citations
16.
17.
Liu, Xiaoliang, Weiping Wang, Ke Hu, et al.. (2020). A Risk Stratification for Patients with Cervical Cancer in Stage IIIC1 of the 2018 FIGO Staging System. Scientific Reports. 10(1). 362–362. 24 indexed citations
18.
Yan, Huacheng, Hui Yang, Luxia Wang, et al.. (2019). ZTW-41, a Potent Indolizinoquinoline-5,12-Dione Derivative Against Drug-Resistant Staphylococci and Enterococci Bacteria. Microbial Drug Resistance. 26(2). 100–109.
19.
Miao, Qing, et al.. (2018). Cutaneous toxicities of epidermal growth factor receptor inhibitors: A prospective study in 60 Asian patients.. Asian Pacific Journal of Allergy and Immunology. 37(1). 12–18. 7 indexed citations
20.
Guan, Hui, Christopher J. VandenBussche, Yener S. Erozan, et al.. (2013). Can the Tall Cell Variant of Papillary Thyroid Carcinoma Be Distinguished from the Conventional Type in Fine Needle Aspirates? A Cytomorphologic Study with Assessment of Diagnostic Accuracy. Acta Cytologica. 57(5). 534–542. 21 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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