Hao Sun

2.0k total citations
115 papers, 1.4k citations indexed

About

Hao Sun is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Hao Sun has authored 115 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 41 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Surgery. Recurrent topics in Hao Sun's work include MRI in cancer diagnosis (19 papers), Prostate Cancer Diagnosis and Treatment (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Hao Sun is often cited by papers focused on MRI in cancer diagnosis (19 papers), Prostate Cancer Diagnosis and Treatment (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Hao Sun collaborates with scholars based in China, United States and Germany. Hao Sun's co-authors include Zhengyu Jin, Huadan Xue, Gumuyang Zhang, Liang Zhu, Lili Xu, Yu Xiao, Bing Shi, Feng Feng, Weigang Yan and Jing Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Hao Sun

103 papers receiving 1.4k citations

Peers

Hao Sun

RNMI

PRM

SURGE

ONCOL

Hyun Kim United States

Pengfei Yang China

Shinichi Hori Japan

Jingwei Wei China

Majid Maybody United States

Jiří Ferda Czechia

Alexander Brook United States

Corey T. Jensen United States

Claire Pellot‐Barakat France

Laura Masi Italy

Hyun Kim United States

Hao Sun

594 ×0.7

RNMI

443 ×0.8

PRM

382 ×1.2

SURGE

197 ×0.7

291 ×1.1

ONCOL

Citations per year, relative to Hao Sun Hao Sun (= 1×) peers Hyun Kim

Countries citing papers authored by Hao Sun

Since Specialization

Citations

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

Fields of papers citing papers by Hao Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Sun. A scholar is included among the top collaborators of Hao Sun 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 Hao Sun. Hao Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lu, Jian, Qiujiang Dong, Kang Liao, et al.. (2025). Dual-interface engineering via boron pre-anchoring and electronegative synergy for coupled ion transport and self-stabilizing interphases in lithium metal batteries. Energy storage materials. 81. 104466–104466. 1 indexed citations

Guo, Er‐Jia, Lixia Chen, Lili Xu, et al.. (2025). Optimizing bladder magnetic resonance imaging: accelerating scan time and improving image quality through deep learning. Abdominal Radiology. 50(10). 4772–4782.

Xu, Lili, et al.. (2025). Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy. Korean Journal of Radiology. 26(5). 422–422. 1 indexed citations

Bai, Xin, Zhe Wu, Hong Zhang, et al.. (2025). A multi-class segmentation model of deep learning on contrast-enhanced computed tomography to segment and differentiate lipid-poor adrenal nodules: a dual-center study. European Radiology. 36(3). 1656–1667.

Zhang, Xiaoyu, et al.. (2025). The role of Chinese herbal medicine in diminished ovarian reserve management. Journal of Ovarian Research. 18(1). 90–90. 2 indexed citations

Bai, Xin, Lili Xu, Xiaoxiao Zhang, et al.. (2024). Differentiate adrenal lipid-poor adenoma from nodular hyperplasia with CT quantitative parameters: a feasibility study. Abdominal Radiology. 51(3). 1416–1426.

Dong, Qiujiang, Minjie Yao, Xingkai Wang, et al.. (2024). Dual‐gradient Engineering of Urchin‐like Silver@Copper Oxide Heterostructures for Highly Stable Lithium Metal Anodes. Advanced Functional Materials. 34(28). 20 indexed citations

Chen, G., Hao Sun, Yunxia Chen, et al.. (2024). Perineural Invasion in Cervical Cancer: A Hidden Trail for Metastasis. Diagnostics. 14(14). 1517–1517. 2 indexed citations

Sun, Hao, et al.. (2024). Direct regeneration of spent LiFePO4 cathode material via a simple solid-phase method. Chinese Chemical Letters. 36(6). 110041–110041. 9 indexed citations

10.

Xu, Lili, Gumuyang Zhang, Daming Zhang, et al.. (2024). Development of preoperative nomograms to predict the risk of overall and multifocal positive surgical margin after radical prostatectomy. Cancer Imaging. 24(1). 104–104. 1 indexed citations

11.

Wen, Xiajie, C.H. Li, Seong Yoon Yi, et al.. (2024). Papillary Renal Neoplasm With Reverse Polarity: CT and MR Imaging Characteristics in 26 Patients. Academic Radiology. 32(5). 2787–2796. 1 indexed citations

12.

Dong, Qiujiang, Wanxing Zhang, Shiyu Zhang, et al.. (2023). Rapid synthesis of large-area and integrated anode current collector via electroless in-situ Sn modification strategy for lithium metal batteries. Chemical Engineering Journal. 471. 144483–144483. 16 indexed citations

13.

Yuan, Xiaoqing, et al.. (2023). Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur. Academic Radiology. 31(5). 2003–2010. 3 indexed citations

14.

Zhang, Gumuyang, Peng Xia, Xiaoxiao Shi, et al.. (2023). Development of a multimodal kidney age prediction based on automatic segmentation CT image in patients with normal renal function. Clinical Kidney Journal. 16(11). 2091–2099. 1 indexed citations

15.

Cheng, Guangdong, et al.. (2023). Age at menopause is inversely related to the prevalence of common gynecologic cancers: a study based on NHANES. Frontiers in Endocrinology. 14. 1218045–1218045. 4 indexed citations

16.

Zhu, Liang, Hao Sun, Menghua Dai, et al.. (2023). Tomoelastography and Pancreatic Extracellular Volume Fraction Derived From MRI for Predicting Clinically Relevant Postoperative Pancreatic Fistula. Journal of Magnetic Resonance Imaging. 59(3). 1074–1082. 6 indexed citations

17.

Zhang, Gumuyang, et al.. (2021). CT-based Radiomics to Predict Recurrence of Bladder Cancer after Resection in One Year: A Preliminary Study. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Zhu, Liang, Yamin Lai, Marcus R. Makowski, et al.. (2019). Native T1 mapping of autoimmune pancreatitis as a quantitative outcome surrogate. European Radiology. 29(8). 4436–4446. 14 indexed citations

19.

Zhang, Gumuyang, Hao Sun, Bing Shi, Zhengyu Jin, & Huadan Xue. (2016). Quantitative CT texture analysis for evaluating histologic grade of urothelial carcinoma. Abdominal Radiology. 42(2). 561–568. 53 indexed citations

20.

Sun, Hao, Huadan Xue, Xiaoguang Li, et al.. (2015). Dual-source dual-energy CT angiography with virtual non-enhanced images and iodine map for active gastrointestinal bleeding: Image quality, radiation dose and diagnostic performance. European Journal of Radiology. 84(5). 884–891. 58 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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