Xinhua Wei

659 total citations
49 papers, 486 citations indexed

About

Xinhua Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xinhua Wei has authored 49 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xinhua Wei's work include Nanoplatforms for cancer theranostics (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and MRI in cancer diagnosis (10 papers). Xinhua Wei is often cited by papers focused on Nanoplatforms for cancer theranostics (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and MRI in cancer diagnosis (10 papers). Xinhua Wei collaborates with scholars based in China, United States and Finland. Xinhua Wei's co-authors include Xinqing Jiang, Ruimeng Yang, Youyong Yuan, Yuan Guo, Yao Wang, Shi‐Wei Luo, Xuegang Xin, Tianqi Liu, Huikang Yang and Xuan Xiao and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Chemical Engineering Journal.

In The Last Decade

Xinhua Wei

43 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinhua Wei China 15 243 116 106 97 95 49 486
Maike Baues Germany 10 218 0.9× 143 1.2× 74 0.7× 66 0.7× 102 1.1× 11 576
Weixi Jiang China 15 261 1.1× 137 1.2× 41 0.4× 104 1.1× 71 0.7× 22 574
Meinan Yao China 11 201 0.8× 117 1.0× 76 0.7× 69 0.7× 44 0.5× 13 397
Wenkun Bai China 13 267 1.1× 74 0.6× 72 0.7× 93 1.0× 65 0.7× 47 487
Rufang Liao China 11 245 1.0× 179 1.5× 69 0.7× 120 1.2× 66 0.7× 13 583
Nicholas Bernards Canada 13 163 0.7× 147 1.3× 75 0.7× 47 0.5× 113 1.2× 36 489
Jiangchuan Sun China 16 472 1.9× 150 1.3× 48 0.5× 112 1.2× 93 1.0× 23 662
Jathushan Palasubramaniam Australia 9 203 0.8× 158 1.4× 64 0.6× 72 0.7× 82 0.9× 12 578
Xiaochen Feng China 12 331 1.4× 120 1.0× 141 1.3× 176 1.8× 88 0.9× 26 675
Jiao Song China 11 385 1.6× 131 1.1× 57 0.5× 94 1.0× 98 1.0× 17 567

Countries citing papers authored by Xinhua Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Wei. A scholar is included among the top collaborators of Xinhua Wei 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 Xinhua Wei. Xinhua Wei 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
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Zhang, Wanli, Yue Zhao, Jiamin Li, et al.. (2024). Multiparametric MR-based radiomics fusion combined with quantitative stratified ADC-defined tumor habitats for differentiating TNBC versus non-TNBC. Physics in Medicine and Biology. 69(5). 55032–55032. 1 indexed citations
4.
Zhang, Wanli, Nan Li, Jiamin Li, et al.. (2024). Noninvasive identification of proliferative hepatocellular carcinoma on multiphase dynamic CT: quantitative and LI-RADS lexicon-based evaluation. European Radiology. 35(6). 3460–3475. 2 indexed citations
5.
Han, Xiaorui, et al.. (2024). Exploration of a noninvasive radiomics classifier for breast cancer tumor microenvironment categorization and prognostic outcome prediction. European Journal of Radiology. 175. 111441–111441. 3 indexed citations
6.
Li, Jiamin, Huikang Yang, Shengsheng Lai, et al.. (2024). Nanoparticle-mediated blockade of CXCL12/CXCR4 signaling enhances glioblastoma immunotherapy: Monitoring early responses with MRI radiomics. Acta Biomaterialia. 177. 414–430. 21 indexed citations
7.
Chen, Dandan, Yuan Guo, Weifeng Liu, et al.. (2024). The evolution and impact of sarcopenia in severe aplastic anaemia survivors following allogeneic haematopoietic cell transplantation. Journal of Cachexia Sarcopenia and Muscle. 15(3). 1094–1107. 2 indexed citations
8.
Zhang, Wanli, Yandong Zhao, Shengsheng Lai, et al.. (2024). Identification of macrotrabecular‐massive hepatocellular carcinoma through multiphasic CT‐based representation learning method. Medical Physics. 51(12). 9017–9030. 1 indexed citations
9.
Liang, Yingying, Yaxuan Wei, Fan Xu, & Xinhua Wei. (2024). MRI-based radiomic models for the preoperative prediction of extramural venous invasion in rectal cancer: A systematic review and meta-analysis. Clinical Imaging. 110. 110146–110146. 3 indexed citations
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Xiao, Xuan, Lei Mo, Yao Wang, et al.. (2023). ROS-responsive self-activatable photosensitizing agent for photodynamic-immunotherapy of cancer. Acta Biomaterialia. 164. 511–521. 35 indexed citations
12.
Zhang, Wanli, Yue Zhao, Jiamin Li, et al.. (2023). Preoperative prediction model for macrotrabecular-massive hepatocellular carcinoma based on contrast-enhanced CT and clinical characteristics: a retrospective study. Frontiers in Oncology. 13. 1124069–1124069. 2 indexed citations
13.
Liang, Dan, Hui Zhou, Hong Zhou, et al.. (2023). Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis. Academic Radiology. 31(4). 1344–1354. 14 indexed citations
14.
Wang, Yao, Zhe Jin, Qingcong Kong, et al.. (2022). Evaluation of the Effects of Anti‐PD‐1 Therapy on Triple‐Negative Breast Cancer in Mice by Diffusion Kurtosis Imaging and Dynamic Contrast‐Enhanced Imaging. Journal of Magnetic Resonance Imaging. 56(6). 1912–1923. 6 indexed citations
15.
Liang, Yingying, et al.. (2022). Optimizing CT and MRI criteria for differentiating intrahepatic mass-forming cholangiocarcinoma and hepatocellular carcinoma. Acta Radiologica. 64(3). 926–935. 4 indexed citations
16.
Du, Yuchen, et al.. (2022). Preoperative MRI of breast squamous cell carcinoma: diagnostic value of distinguishing between two subtypes. Clinical Radiology. 77(4). e321–e328. 2 indexed citations
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Guo, Yuan, Wenjie Tang, Qingcong Kong, et al.. (2019). Can whole-tumor apparent diffusion coefficient histogram analysis be helpful to evaluate breast phyllode tumor grades?. European Journal of Radiology. 114. 25–31. 14 indexed citations
19.
Chen, Xin, Xinhua Wei, Ruimeng Yang, et al.. (2016). Differentiation of glioblastomas and solitary metastatic brain tumors using texture analysis of conventional MRI. Zhonghua fangshexian yixue zazhi. 50(3). 186–190. 1 indexed citations
20.
Wu, Huailiang, Tianshuang Xia, Xinhua Wei, et al.. (2013). Relationship between diffusion-weighted imaging and Bcl-2 expression in rabbit models of hepatic VX2 tumors after radiotherapy.. PubMed. 27(2). 487–95. 2 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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