Qiuchang Sun

1.2k total citations
15 papers, 755 citations indexed

About

Qiuchang Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qiuchang Sun has authored 15 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qiuchang Sun's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (9 papers) and Brain Tumor Detection and Classification (3 papers). Qiuchang Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (9 papers) and Brain Tumor Detection and Classification (3 papers). Qiuchang Sun collaborates with scholars based in China and Germany. Qiuchang Sun's co-authors include Zhicheng Li, Yuanshen Zhao, Yinsheng Chen, Dong Liang, Chaofeng Liang, Hongmin Bai, Kai Yan, Hairong Zheng, Qihua Li and Lei Liu and has published in prestigious journals such as Scientific Reports, Radiology and European Radiology.

In The Last Decade

Qiuchang Sun

15 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiuchang Sun China	11	649	258	198	177	115	15	755
Qihua Li China	6	678 1.0×	268 1.0×	169 0.9×	166 0.9×	150 1.3×	12	812
Hwan-ho Cho South Korea	15	683 1.1×	174 0.7×	219 1.1×	163 0.9×	122 1.1×	29	819
Sohi Bae South Korea	11	681 1.0×	489 1.9×	184 0.9×	77 0.4×	109 0.9×	20	895
Ramón Correa United States	11	372 0.6×	198 0.8×	110 0.6×	93 0.5×	85 0.7×	30	526
Archya Dasgupta India	15	306 0.5×	259 1.0×	160 0.8×	89 0.5×	94 0.8×	75	615
Shuaitong Zhang China	12	487 0.8×	279 1.1×	185 0.9×	49 0.3×	60 0.5×	24	617
Michelle Bardis United States	8	370 0.6×	178 0.7×	151 0.8×	132 0.7×	87 0.8×	12	576
Olya Grove United States	6	757 1.2×	70 0.3×	320 1.6×	162 0.9×	197 1.7×	9	896
Sebastian R. van der Voort Netherlands	12	369 0.6×	212 0.8×	184 0.9×	43 0.2×	64 0.6×	28	542
Anahita Fathi Kazerooni United States	16	396 0.6×	209 0.8×	58 0.3×	48 0.3×	84 0.7×	65	606

Countries citing papers authored by Qiuchang Sun

Since Specialization

Citations

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

Fields of papers citing papers by Qiuchang Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuchang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Qiuchang Sun. A scholar is included among the top collaborators of Qiuchang 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 Qiuchang Sun. Qiuchang 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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15 of 15 papers shown

Yan, Jing, Yuanshen Zhao, Qiuchang Sun, et al.. (2023). Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI. Displays. 78. 102402–102402. 23 indexed citations

Duan, Jingxian, Yuanshen Zhao, Qiuchang Sun, et al.. (2023). Imaging‐proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer. Cancer Medicine. 12(23). 21256–21269. 6 indexed citations

Zhao, Yuanshen, Longsong Li, Tao Li, et al.. (2023). A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer. Abdominal Radiology. 48(11). 3332–3342. 10 indexed citations

Zhao, Yuanshen, et al.. (2023). Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma. Displays. 77. 102399–102399. 12 indexed citations

Duan, Jingxian, Zhenyu Zhang, Yinsheng Chen, et al.. (2023). Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study. Molecular Oncology. 17(4). 629–646. 12 indexed citations

Sun, Qiuchang, Yinsheng Chen, Chaofeng Liang, et al.. (2021). Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma. Radiology. 301(3). 654–663. 88 indexed citations

Yan, Jing, Shenghai Zhang, Qiuchang Sun, et al.. (2021). Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study. Laboratory Investigation. 102(2). 154–159. 19 indexed citations

Zhao, Yuanshen, Guiqin Liu, Qiuchang Sun, et al.. (2021). Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways. European Radiology. 31(7). 5032–5040. 33 indexed citations

Sun, Qiuchang, Xiaona Lin, Yuanshen Zhao, et al.. (2020). Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region. Frontiers in Oncology. 10. 53–53. 195 indexed citations

10.

Zhang, Shenghai, Yuanshen Zhao, Shuaishuai Xu, et al.. (2020). Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer. European Journal of Radiology. 131. 109219–109219. 30 indexed citations

11.

Liu, Zijia, Qiuchang Sun, Hongmin Bai, et al.. (2019). 3D Deep Attention Network for Survival Prediction from Magnetic Resonance Images in Glioblastoma. 1381–1384. 7 indexed citations

12.

Li, Zhicheng, Hongmin Bai, Qiuchang Sun, et al.. (2018). Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study. European Radiology. 28(9). 3640–3650. 133 indexed citations

13.

Li, Zhicheng, Hongmin Bai, Qiuchang Sun, et al.. (2018). Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma. Cancer Medicine. 7(12). 5999–6009. 78 indexed citations

14.

Li, Qihua, Hongmin Bai, Yinsheng Chen, et al.. (2017). A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme. Scientific Reports. 7(1). 14331–14331. 105 indexed citations

15.

Li, Zhicheng, et al.. (2017). Identifying a radiomics imaging signature for prediction of overall survival in glioblastoma multiforme. 1–4. 4 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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