Chengjia Wang

2.6k total citations
28 papers, 541 citations indexed

About

Chengjia Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chengjia Wang has authored 28 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chengjia Wang's work include Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Chengjia Wang is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Imaging and Diagnostics (3 papers). Chengjia Wang collaborates with scholars based in United Kingdom, China and Greece. Chengjia Wang's co-authors include Guang Yang, Giorgos Papanastasiou, Heye Zhang, Sotirios A. Tsaftaris, David E. Newby, Xiaofeng Zhao, Calum Gray, Tom MacGillivray, Ming Li and Gillian Macnaught and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Chengjia Wang

26 papers receiving 530 citations

Peers

Chengjia Wang
Ioannis Valavanis Greece
Agung W. Setiawan Indonesia
Qing Lyu China
Fengjun Zhao China
Norliza Mohd Noor Malaysia
Hui Yu China
Cícero Ferreira Fernandes Costa Filho Brazil
Ahmed Badawi Egypt
Aledir Silveira Pereira Brazil
Irena Galić Croatia
Ioannis Valavanis Greece
Chengjia Wang
Citations per year, relative to Chengjia Wang Chengjia Wang (= 1×) peers Ioannis Valavanis

Countries citing papers authored by Chengjia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengjia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjia Wang. A scholar is included among the top collaborators of Chengjia 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 Chengjia Wang. Chengjia 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.
Xu, Wei, Ines Mesa‐Eguiagaray, David M. Morris, et al.. (2025). Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank. Nature Communications. 16(1). 99–99. 6 indexed citations
2.
Yao, Tianliang, et al.. (2023). Enhancing percutaneous coronary intervention with heuristic path planning and deep-learning-based vascular segmentation. Computers in Biology and Medicine. 166. 107540–107540. 9 indexed citations
3.
Ji, Jianyue, Nana Zhao, Jinglin Zhou, Chengjia Wang, & Xia Zhang. (2023). Spatiotemporal Variations and Convergence Characteristics of Green Technological Progress in China’s Mariculture. Fishes. 8(7). 338–338. 3 indexed citations
4.
Papanastasiou, Giorgos, Guang Yang, Dimitrios I. Fotiadis, et al.. (2023). Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficiencies. SHILAP Revista de lepidopterología. 3(1). 189–189. 2 indexed citations
5.
Papanastasiou, Giorgos, Νικόλαος Δικαίος, Jiahao Huang, Chengjia Wang, & Guang Yang. (2023). Is Attention all You Need in Medical Image Analysis? A Review. IEEE Journal of Biomedical and Health Informatics. 28(3). 1398–1411. 28 indexed citations
6.
Morris, David M., Chengjia Wang, Giorgos Papanastasiou, et al.. (2023). A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data. Computational and Structural Biotechnology Journal. 24. 89–104. 10 indexed citations
7.
Ji, Jianyue, et al.. (2023). Spatiotemporal Evolution and Drivers of Chinese Industrial Virtual Water in International Trade. Water. 15(11). 1975–1975. 2 indexed citations
8.
Sakellis, Elias, Nikos Boukos, Giorgos Papanastasiou, et al.. (2022). Bimetallic gold-platinum nanoparticles as a drug delivery system coated with a new drug to target glioblastoma. Colloids and Surfaces B Biointerfaces. 214. 112463–112463. 27 indexed citations
9.
Ye, Qinghao, Yuan Gao, Weiping Ding, et al.. (2021). Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Applied Soft Computing. 116. 108291–108291. 32 indexed citations
10.
Ma, Huijing, Qinghao Ye, Weiping Ding, et al.. (2021). Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections. Frontiers in Medicine. 8. 699984–699984. 9 indexed citations
11.
Xia, Tian, Agisilaos Chartsias, Chengjia Wang, & Sotirios A. Tsaftaris. (2021). Learning to synthesise the ageing brain without longitudinal data. Medical Image Analysis. 73. 102169–102169. 29 indexed citations
12.
Wang, Chengjia, Guang Yang, Giorgos Papanastasiou, et al.. (2020). Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. IEEE Transactions on Industrial Informatics. 17(8). 5511–5521. 51 indexed citations
13.
Wang, Chengjia, Guang Yang, Giorgos Papanastasiou, et al.. (2020). DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Information Fusion. 67. 147–160. 86 indexed citations
14.
Papanastasiou, Giorgos, Mark Rodrigues, Chengjia Wang, et al.. (2020). Pharmacokinetic modelling for the simultaneous assessment of perfusion and 18F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept. NeuroImage. 225. 117482–117482. 7 indexed citations
15.
Li, Ming, Chengjia Wang, Heye Zhang, & Guang Yang. (2020). MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis. Computers in Biology and Medicine. 120. 103728–103728. 46 indexed citations
16.
Wang, Chengjia, et al.. (2019). SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Transactions on Industrial Informatics. 16(4). 2667–2676. 89 indexed citations
17.
Wei, Fengying & Chengjia Wang. (2019). Survival analysis of a single-species population model with fluctuations and migrations between patches. Applied Mathematical Modelling. 81. 113–127. 17 indexed citations
18.
Chartsias, Agisilaos, Giorgos Papanastasiou, Chengjia Wang, et al.. (2019). Disentangle, align and fuse for multimodal and zero-shot image segmentation. arXiv (Cornell University). 4 indexed citations
19.
Lassen, Martin Lyngby, Jacek Kwieciński, Sebastien Cadet, et al.. (2018). Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary 18F-NaF PET Imaging. Journal of Nuclear Medicine. 60(6). 830–836. 33 indexed citations
20.
Conlisk, Noel, Rachael O. Forsythe, Barry J. Doyle, et al.. (2017). Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element Study. Journal of Cardiovascular Translational Research. 10(5-6). 489–498. 11 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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