Xuetao Wang

475 total citations
39 papers, 335 citations indexed

About

Xuetao Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xuetao Wang has authored 39 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Radiation and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xuetao Wang's work include Advanced Radiotherapy Techniques (20 papers), Medical Imaging Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Xuetao Wang is often cited by papers focused on Advanced Radiotherapy Techniques (20 papers), Medical Imaging Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Xuetao Wang collaborates with scholars based in China, United States and Saudi Arabia. Xuetao Wang's co-authors include Annie P. Moseman, Hongbing Zhang, Michal Galdzicki, Bonnie Berger, Erxi Wu, Nathan Palmer, Ze Tian, Zhenhui Dai, Yiwen Zhang and Wei Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Xuetao Wang

36 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuetao Wang China 11 113 96 81 64 51 39 335
Seyed Mahmoud Reza Aghamiri Iran 10 204 1.8× 122 1.3× 116 1.4× 37 0.6× 96 1.9× 45 394
Ran Peng China 12 71 0.6× 110 1.1× 103 1.3× 36 0.6× 52 1.0× 53 503
Hongtao Zhang China 12 207 1.8× 65 0.7× 67 0.8× 73 1.1× 71 1.4× 54 517
Christoph Fürweger Germany 12 194 1.7× 175 1.8× 128 1.6× 31 0.5× 69 1.4× 59 467
E. Menghi Italy 10 208 1.8× 132 1.4× 104 1.3× 27 0.4× 75 1.5× 23 311
Akihiro Takemura Japan 9 168 1.5× 146 1.5× 151 1.9× 16 0.3× 53 1.0× 47 395
Hongmei Ying China 9 134 1.2× 69 0.7× 103 1.3× 31 0.5× 45 0.9× 25 378
Sara Ahmed United States 9 244 2.2× 37 0.4× 53 0.7× 26 0.4× 59 1.2× 33 362
Sebastian R. van der Voort Netherlands 12 369 3.3× 97 1.0× 184 2.3× 25 0.4× 64 1.3× 28 542
Simon Duke United Kingdom 9 197 1.7× 166 1.7× 95 1.2× 26 0.4× 58 1.1× 15 367

Countries citing papers authored by Xuetao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuetao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuetao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuetao Wang. A scholar is included among the top collaborators of Xuetao Wang 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 Xuetao Wang. Xuetao Wang 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.
Wang, Xuetao, Qichang Zhao, & Jianxin Wang. (2025). FedKD-CPI: Combining the federated knowledge distillation technique to accomplish synergistic compound-protein interaction prediction. Methods. 234. 275–283. 1 indexed citations
5.
Wang, Xuetao, et al.. (2024). Epidural ropivacaine versus bupivacaine for cesarean sections: a system review and meta-analysis. The Journal of Maternal-Fetal & Neonatal Medicine. 37(1). 2313356–2313356. 1 indexed citations
6.
Mu, Yashuang, et al.. (2024). Efficient relation extraction via quantum reinforcement learning. Complex & Intelligent Systems. 10(3). 4009–4018. 3 indexed citations
7.
Zhang, Yiwen, et al.. (2024). DoseDiff: Distance-Aware Diffusion Model for Dose Prediction in Radiotherapy. IEEE Transactions on Medical Imaging. 43(10). 3621–3633. 8 indexed citations
8.
Zhang, Chen‐Yu, et al.. (2024). A one-two punch strategy for diabetic wound management based on an antibiotic-hybrid biomineralized iron sulfide nanoparticle. Acta Biomaterialia. 181. 333–346. 11 indexed citations
9.
Zhao, Qiuyang, Yan Miao, Xuetao Wang, et al.. (2023). Study on the synergistic effect of NaOH and CuSO4 in aquathermolysis upgrading. Fuel Processing Technology. 244. 107715–107715. 11 indexed citations
10.
Wang, Yuenan, et al.. (2023). Attention-Gated Deep-Learning–Based Automatic Digitization of Interstitial Needles in High-Dose-Rate Brachytherapy for Cervical Cancer. Advances in Radiation Oncology. 9(1). 101340–101340. 6 indexed citations
11.
Zhang, Yiwen, Liming Zhong, Hai Shu, et al.. (2022). Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. IEEE Transactions on Artificial Intelligence. 4(5). 1246–1257. 7 indexed citations
12.
Dai, Zhenhui, Yiwen Zhang, Bailin Zhang, et al.. (2022). Multiscale Local Enhancement Deep Convolutional Networks for the Automated 3D Segmentation of Gross Tumor Volumes in Nasopharyngeal Carcinoma: A Multi-Institutional Dataset Study. Frontiers in Oncology. 12. 827991–827991. 8 indexed citations
13.
Lv, Wenbing, Feng Chi, Bailin Zhang, et al.. (2022). Prognostic generalization of multi‐level CT‐dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma. Medical Physics. 50(2). 922–934. 5 indexed citations
14.
Wang, Xuetao, et al.. (2022). Application of thermoplastic elastomer (TPE) bolus in postmastectomy radiotherapy. The Breast. 66. 317–323. 4 indexed citations
15.
Dai, Zhenhui, Qiang He, Lin Zhu, et al.. (2022). Automatic prediction model for online diaphragm motion tracking based on optical surface monitoring by machine learning. Quantitative Imaging in Medicine and Surgery. 13(4). 2065–2080. 4 indexed citations
16.
Wang, Xin, Xuetao Wang, Xiaohong Wu, et al.. (2021). Analysis of the amplitude changes and baseline shifts of respiratory motion using intra-fractional CBCT in liver stereotactic body radiation therapy. Physica Medica. 93. 52–58. 7 indexed citations
17.
18.
Chen, Jiayun, Jianrong Dai, Sen Bai, et al.. (2020). A Special Report on 2019 International Planning Competition and a Comprehensive Analysis of Its Results. Frontiers in Oncology. 10. 571644–571644. 8 indexed citations
19.
Wang, Linjing, Chao Zheng, Wentao Chen, et al.. (2020). Multi-path synergic fusion deep neural network framework for breast mass classification using digital breast tomosynthesis. Physics in Medicine and Biology. 65(23). 235045–235045. 7 indexed citations
20.
Xiao, Jianghong, Yan Li, Shi H, et al.. (2018). Multi-criteria optimization achieves superior normal tissue sparing in intensity-modulated radiation therapy for oropharyngeal cancer patients. Oral Oncology. 80. 74–81. 15 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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