Xiangjun Wu

1.1k total citations
49 papers, 695 citations indexed

About

Xiangjun Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Xiangjun Wu has authored 49 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Molecular Biology and 11 papers in Biomedical Engineering. Recurrent topics in Xiangjun Wu's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers) and Geomagnetism and Paleomagnetism Studies (5 papers). Xiangjun Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers) and Geomagnetism and Paleomagnetism Studies (5 papers). Xiangjun Wu collaborates with scholars based in China and United States. Xiangjun Wu's co-authors include Jie Tian, Hui Hui, Bingxi He, Jianqing Jiang, Feng Fang, Xuhai Zhang, Shuyong Tan, Li Wang, Liang Li and Meng Niu and has published in prestigious journals such as International Journal of Molecular Sciences, Applied Surface Science and Cell Reports.

In The Last Decade

Xiangjun Wu

42 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangjun Wu China 16 356 153 131 110 104 49 695
Mohamed A. Naser United States 15 464 1.3× 243 1.6× 106 0.8× 86 0.8× 13 0.1× 61 828
Chenbin Liu China 23 408 1.1× 538 3.5× 65 0.5× 425 3.9× 211 2.0× 64 1.5k
M.G. Sabini Italy 19 354 1.0× 100 0.7× 48 0.4× 427 3.9× 34 0.3× 52 868
Ying Liang China 13 298 0.8× 53 0.3× 200 1.5× 152 1.4× 74 0.7× 66 673
Bilal Malik United States 18 332 0.9× 419 2.7× 66 0.5× 119 1.1× 34 0.3× 43 816
Yuan Xu China 22 999 2.8× 544 3.6× 314 2.4× 122 1.1× 63 0.6× 82 1.7k
Se Byeong Lee South Korea 19 386 1.1× 133 0.9× 39 0.3× 809 7.4× 31 0.3× 95 1.2k
Zhaobin Li China 18 303 0.9× 157 1.0× 49 0.4× 294 2.7× 14 0.1× 76 932
Wei Shao United States 18 339 1.0× 156 1.0× 193 1.5× 298 2.7× 24 0.2× 77 1.1k
Jun Zhou United States 22 933 2.6× 463 3.0× 139 1.1× 751 6.8× 17 0.2× 121 1.6k

Countries citing papers authored by Xiangjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangjun Wu. A scholar is included among the top collaborators of Xiangjun Wu 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 Xiangjun Wu. Xiangjun Wu 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.
Zhang, Jia, Xiangjun Wu, Leilei Zhang, et al.. (2025). Differential diagnosis of acute myocardial infarction based on plasma Exosomal MicroRNA. International Journal of Legal Medicine. 140(1). 29–39. 2 indexed citations
2.
3.
Yan, Bingjie, et al.. (2025). Mechanism and driving factors of phytoplankton community construction in the lower reaches of Yarlung Zangbo River. Journal of Lake Sciences. 37(1). 215–228. 3 indexed citations
4.
Huang, Xiang, Junfu Fan, Xiangjun Wu, et al.. (2025). DTL dose-dependent control of sex-dimorphic ferroptosis in liver ischemia reperfusion injury. Cell Reports. 44(7). 115920–115920.
5.
Zhang, Jiaxin, et al.. (2023). Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework. Computers in Biology and Medicine. 165. 107461–107461. 6 indexed citations
6.
Wu, Xiangjun, Pengli Gao, Peng Zhang, et al.. (2023). Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging. Computers in Biology and Medicine. 158. 106809–106809. 6 indexed citations
7.
Zhang, Bo, Xiangjun Wu, Liwen Zhang, et al.. (2023). Anisotropic edge-preserving network for resolution enhancement in unidirectional Cartesian magnetic particle imaging. Physics in Medicine and Biology. 68(4). 45014–45014. 15 indexed citations
8.
Hui, Hui, Xiaohu Li, Liang Li, et al.. (2022). Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. Medical & Biological Engineering & Computing. 60(9). 2721–2736. 2 indexed citations
9.
Wu, Xiangjun, Chenyan Wang, Zacharias Vangelatos, et al.. (2021). Profiling the responsiveness of focal adhesions of human cardiomyocytes to extracellular dynamic nano-topography. Bioactive Materials. 10. 367–377. 15 indexed citations
10.
Zhang, Lu, Xiangjun Wu, Jing Liu, et al.. (2020). MRI‐Based Deep‐Learning Model for Distant Metastasis‐Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma. Journal of Magnetic Resonance Imaging. 53(1). 167–178. 34 indexed citations
11.
Hu, Wenchao, Xiangjun Wu, Di Dong, et al.. (2020). Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score. International journal of cardiac imaging. 36(10). 2039–2050. 22 indexed citations
12.
Wu, Xiangjun, Hui Hui, Meng Niu, et al.. (2020). Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study. European Journal of Radiology. 128. 109041–109041. 197 indexed citations
13.
Mo, Xiaokai, Xiangjun Wu, Di Dong, et al.. (2019). Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation. European Radiology. 30(2). 833–843. 40 indexed citations
14.
Wu, Xiangjun. (2013). Cabin fire flashover reconstruction and numerical research. Fire Science and Technology. 1 indexed citations
15.
Wu, Xiangjun. (2013). The experiment research of submarine high-pressure air blowing off main ballast tanks. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 1 indexed citations
16.
Wu, Xiangjun & Qinghua Lu. (2013). Expression and significance of α-SMA and PCNA in the vascular adventitia of balloon-injured rat aorta. Experimental and Therapeutic Medicine. 5(6). 1671–1676. 6 indexed citations
17.
Wu, Xiangjun. (2012). Research on damage evaluation of ship structure in underwater non-contact explosion. Ship Science and Technology. 1 indexed citations
18.
Wu, Xiangjun. (2012). The simulation research of high Pressure air blowing the main ballast tank based on CFD. Ship Science and Technology. 1 indexed citations
19.
Wu, Xiangjun, et al.. (2011). Application of Neural Network to Diesel Engine SOA. 555–558. 3 indexed citations
20.
Wang, Xingyuan, et al.. (2006). Adaptive control and synchronization of a coupled dynamos system. Acta Physica Sinica. 55(10). 5077–5077. 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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