Caixia Sun

410 total citations
16 papers, 282 citations indexed

About

Caixia Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Caixia Sun has authored 16 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 5 papers in Artificial Intelligence. Recurrent topics in Caixia Sun's work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (5 papers) and MRI in cancer diagnosis (3 papers). Caixia Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (5 papers) and MRI in cancer diagnosis (3 papers). Caixia Sun collaborates with scholars based in China, United States and France. Caixia Sun's co-authors include Zhenyu Liu, Jie Tian, Chunlin Chen, Jie Tian, Ping Liu, Xin Tian, Weili Li, Lihui Wang, Pengfei Li and Hui Duan and has published in prestigious journals such as Journal of Clinical Oncology, American Journal Of Pathology and Frontiers in Pharmacology.

In The Last Decade

Caixia Sun

13 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caixia Sun China	8	229	109	68	59	56	16	282
Yangyang Kan China	6	326 1.4×	129 1.2×	99 1.5×	60 1.0×	40 0.7×	6	375
Nannan Zhao China	10	220 1.0×	57 0.5×	79 1.2×	62 1.1×	31 0.6×	18	322
Jieun Koh South Korea	13	189 0.8×	70 0.6×	17 0.3×	68 1.2×	64 1.1×	25	394
Juebin Jin China	12	307 1.3×	49 0.4×	64 0.9×	116 2.0×	60 1.1×	25	387
Chang Suk Park South Korea	10	331 1.4×	112 1.0×	34 0.5×	44 0.7×	50 0.9×	25	532
Julia Arfi‐Rouche France	9	138 0.6×	121 1.1×	12 0.2×	107 1.8×	104 1.9×	25	315
Yao Ai China	13	306 1.3×	46 0.4×	92 1.4×	119 2.0×	44 0.8×	28	378
Yongai Li China	9	231 1.0×	45 0.4×	107 1.6×	32 0.5×	25 0.4×	25	314
Yehang Chen China	10	318 1.4×	76 0.7×	13 0.2×	174 2.9×	36 0.6×	26	382
Fangyuan Qu China	6	351 1.5×	30 0.3×	45 0.7×	281 4.8×	68 1.2×	7	437

Countries citing papers authored by Caixia Sun

Since Specialization

Citations

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

Fields of papers citing papers by Caixia Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Sun. A scholar is included among the top collaborators of Caixia 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 Caixia Sun. Caixia 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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16 of 16 papers shown

Li, Bao, Zhenyu Liu, Song Zhang, et al.. (2025). NuHTC: A hybrid task cascade for nuclei instance segmentation and classification. Medical Image Analysis. 103. 103595–103595. 2 indexed citations

Fountzilas, Christos, Chih‐Yi Liao, Daneng Li, et al.. (2025). Tinengotinib for adults with advanced or metastatic cholangiocarcinoma: a multicentre, open-label, phase 2 trial. The Lancet. Gastroenterology & hepatology. 11(2). 137–149.

Sun, Caixia, et al.. (2024). MACO: Exploring GEMM Acceleration on a Loosely-Coupled Multi-Core Processor. 1–6.

Subudhi, Sumit K., Chih‐Yi Liao, Shun Zhang, et al.. (2024). The efficacy and safety of tinengotinib in patients with heavily pretreated metastatic castration-resistant prostate cancer (mCRPC).. Journal of Clinical Oncology. 42(4_suppl). 133–133.

Zhang, Panpan, Jifang Gong, Zuoxing Niu, et al.. (2024). Tinengotinib (TT-00420) in combination with atezolizumab in Chinese patients (pts) with biliary tract carcinoma (BTC): Preliminary efficacy and safety results from a phase Ib/II study.. Journal of Clinical Oncology. 42(3_suppl). 473–473. 1 indexed citations

Sheng, Zejuan, Hui Lin, Zuyi Weng, et al.. (2024). The first selective VAP-1 inhibitor in China, TT-01025-CL: safety, tolerability, pharmacokinetics, and pharmacodynamics of single- and multiple-ascending doses. Frontiers in Pharmacology. 15. 1327008–1327008. 2 indexed citations

Sun, Caixia, Tao Luo, Zhenyu Liu, et al.. (2023). Tumor Mutation Burden–Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning. American Journal Of Pathology. 193(12). 2111–2121. 4 indexed citations

Liu, Xiangyu, Zhenyu Liu, Ye Yan, et al.. (2023). Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach. IEEE Journal of Biomedical and Health Informatics. 27(4). 1780–1789. 11 indexed citations

Chen, Chi, Weili Li, Zhenyu Liu, et al.. (2022). The pathological risk score: A new deep learning‐based signature for predicting survival in cervical cancer. Cancer Medicine. 12(2). 1051–1063. 24 indexed citations

10.

Sun, Caixia, Bingbing Li, Danyi Li, et al.. (2022). Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer. Computer Methods and Programs in Biomedicine. 221. 106914–106914. 28 indexed citations

11.

Tian, Xin, Caixia Sun, Zhenyu Liu, et al.. (2020). Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis. Frontiers in Oncology. 10. 77–77. 25 indexed citations

12.

Sun, Kai, Zhenyu Liu, Yiming Li, et al.. (2020). Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images. Frontiers in Oncology. 10. 1096–1096. 14 indexed citations

13.

Guo, Xu, Zhenyu Liu, Caixia Sun, et al.. (2020). Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer. EBioMedicine. 60. 103018–103018. 74 indexed citations

14.

Yao, Xun, Caixia Sun, Fei Xiong, et al.. (2020). Radiomic signature-based nomogram to predict disease-free survival in stage II and III colon cancer. European Journal of Radiology. 131. 109205–109205. 14 indexed citations

15.

Sun, Caixia, Xin Tian, Zhenyu Liu, et al.. (2019). Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study. EBioMedicine. 46. 160–169. 79 indexed citations

16.

Sun, Caixia, Lihui Wang, Wei Wang, et al.. (2018). Non-Small Cell Lung Cancer Staging Using Deep Restricted Boltzmann Machine. 5. 1175–1178. 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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