Xiaodan Ye

1.4k total citations · 1 hit paper
65 papers, 1.0k citations indexed

About

Xiaodan Ye is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Xiaodan Ye has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 10 papers in Biomedical Engineering. Recurrent topics in Xiaodan Ye's work include Radiomics and Machine Learning in Medical Imaging (27 papers), Lung Cancer Diagnosis and Treatment (24 papers) and MRI in cancer diagnosis (6 papers). Xiaodan Ye is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (27 papers), Lung Cancer Diagnosis and Treatment (24 papers) and MRI in cancer diagnosis (6 papers). Xiaodan Ye collaborates with scholars based in China, United States and Japan. Xiaodan Ye's co-authors include Zheng Yuan, Jianquan Yao, Longhai Liu, Guangming Wang, Jianhua Xie, Weiren Zhu, Jin Zhang, Chiben Zhang, Xiangsheng Xiao and Sheng Dong and has published in prestigious journals such as Radiology, Soil Biology and Biochemistry and Biosensors and Bioelectronics.

In The Last Decade

Xiaodan Ye

59 papers receiving 1.0k citations

Hit Papers

Global, regional, and national burden of esophageal cance... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodan Ye China 17 470 311 223 178 168 65 1.0k
Laura Curiel Canada 19 667 1.4× 432 1.4× 948 4.3× 39 0.2× 76 0.5× 84 1.5k
Rogier R. Wildeboer Netherlands 17 337 0.7× 294 0.9× 458 2.1× 31 0.2× 35 0.2× 33 948
Idan Steinberg Israel 12 332 0.7× 119 0.4× 839 3.8× 47 0.3× 53 0.3× 29 1.0k
Xiran Jiang China 19 558 1.2× 237 0.8× 373 1.7× 8 0.0× 43 0.3× 61 986
Christopher S. Hall United States 24 660 1.4× 100 0.3× 814 3.7× 16 0.1× 61 0.4× 54 1.6k
J. Beuthan Germany 13 505 1.1× 96 0.3× 601 2.7× 20 0.1× 46 0.3× 44 986
M. Fitzmaurice United States 11 505 1.1× 441 1.4× 549 2.5× 50 0.3× 52 0.3× 19 1.7k
Weiwei Wu China 18 311 0.7× 34 0.1× 228 1.0× 14 0.1× 122 0.7× 36 877
Le Qiu United States 19 185 0.4× 112 0.4× 525 2.4× 118 0.7× 45 0.3× 46 2.1k
Raffi Karshafian Canada 26 620 1.3× 117 0.4× 1.8k 7.9× 14 0.1× 38 0.2× 99 2.1k

Countries citing papers authored by Xiaodan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Ye. A scholar is included among the top collaborators of Xiaodan Ye 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 Xiaodan Ye. Xiaodan Ye 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
2.
Ye, Xiaodan, et al.. (2025). The biological activity of tetrakis(benzoxazine) calix[4]resorcinarenes and as a host for small molecules. Journal of Inclusion Phenomena and Macrocyclic Chemistry. 105(5-6). 349–362. 1 indexed citations
4.
Ye, Xiaodan, et al.. (2024). Syntheses and biological activities of calix[4]resorcinarene derivatives modified by sulfonic acid and sulfonamides. RSC Advances. 14(35). 25115–25119. 4 indexed citations
7.
Luan, Junwei, Pengfei Wu, Xiaodan Ye, et al.. (2023). Nitrogen-fixing tree species rather than tree species diversity shape soil nematode communities in subtropical plantations. Geoderma. 436. 116561–116561. 5 indexed citations
8.
Liu, Naijia, et al.. (2023). A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke. Journal of X-Ray Science and Technology. 32(1). 17–30. 3 indexed citations
9.
Ye, Xiaodan, et al.. (2023). Prediction of high-grade patterns of stage IA lung invasive adenocarcinoma based on high-resolution CT features: a bicentric study. European Radiology. 33(6). 3931–3940. 10 indexed citations
10.
Jin, Weiqiu, Yu Tian, Long Jiang, et al.. (2023). Non-linear modifications enhance prediction of pathological response to pre-operative PD-1 blockade in lung cancer: A longitudinal hybrid radiological model. Pharmacological Research. 198. 106992–106992. 6 indexed citations
11.
Zhang, Chiben, Jin Zhang, Zhenfei Li, et al.. (2022). Terahertz meta-biosensor based on high-Q electrical resonance enhanced by the interference of toroidal dipole. Biosensors and Bioelectronics. 214. 114493–114493. 84 indexed citations
12.
Ye, Xiaodan, et al.. (2022). Gastric duplication cyst with ectopic pancreas in a teenager successfully resected by endoscopic submucosal dissection. BMC Surgery. 22(1). 381–381. 3 indexed citations
13.
Zhang, Jing, Xiaoyan Jin, Xiaobing Zhang, et al.. (2022). Computed tomography versus frozen sections for distinguishing lung adenocarcinoma: A cohort study of concordance rate. Asian Journal of Surgery. 45(11). 2172–2178. 7 indexed citations
14.
Kuai, Xinping, Yuefei Zhu, Shengyu Wang, et al.. (2021). Perfluorooctyl bromide nanoemulsions holding MnO2 nanoparticles with dual-modality imaging and glutathione depletion enhanced HIFU-eliciting tumor immunogenic cell death. Acta Pharmaceutica Sinica B. 12(2). 967–981. 35 indexed citations
15.
Zhang, Chiben, Jin Zhang, Longhai Liu, et al.. (2021). Terahertz toroidal metasurface biosensor for sensitive distinction of lung cancer cells. Nanophotonics. 11(1). 101–109. 163 indexed citations
16.
Liu, Jun, Hongxuan Li, Xu‐Wei Cai, et al.. (2021). Radiomics Signature Facilitates Organ-Saving Strategy in Patients With Esophageal Squamous Cell Cancer Receiving Neoadjuvant Chemoradiotherapy. Frontiers in Oncology. 10. 615167–615167. 11 indexed citations
17.
Jin, Weiqiu, et al.. (2021). Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph. Computers in Biology and Medicine. 131. 104252–104252. 60 indexed citations
18.
Sun, Yifeng, Wen Gao, Qunhui Chen, et al.. (2016). [Establishment of a predicting model to evaluate the probability of malignancy or benign in patients with solid solitary pulmonary nodules].. PubMed. 96(17). 1354–8. 9 indexed citations
19.
Yang, Zhihui, et al.. (2014). Positron emission tomography/computed tomography images of pulmonary and spinal tuberculosis. European Journal of Cardio-Thoracic Surgery. 46(2). e34–e34. 3 indexed citations
20.
Dong, Sheng, Xiaodan Ye, Zheng Yuan, Lichao Xu, & Xiangsheng Xiao. (2011). Relationship of apparent diffusion coefficient to survival for patients with unresectable primary hepatocellular carcinoma after chemoembolization. European Journal of Radiology. 81(3). 472–477. 42 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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