Chengyan Wang

2.5k total citations
74 papers, 1.0k citations indexed

About

Chengyan Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Chengyan Wang has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Epidemiology. Recurrent topics in Chengyan Wang's work include Advanced MRI Techniques and Applications (29 papers), MRI in cancer diagnosis (15 papers) and Medical Imaging Techniques and Applications (13 papers). Chengyan Wang is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), MRI in cancer diagnosis (15 papers) and Medical Imaging Techniques and Applications (13 papers). Chengyan Wang collaborates with scholars based in China, United Kingdom and United States. Chengyan Wang's co-authors include Jun Lv, Weibo Chen, Guangyuan Li, He Wang, Guang Yang, Jun Lyu, Qi Dou, Rencheng Zheng, Jing Qin and Xiangrong Tong and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Gut.

In The Last Decade

Chengyan Wang

65 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengyan Wang China 18 406 222 209 109 94 74 1.0k
Carlo Russo United States 19 460 1.1× 334 1.5× 95 0.5× 115 1.1× 161 1.7× 78 1.7k
Edward Ashton United States 14 404 1.0× 173 0.8× 154 0.7× 91 0.8× 60 0.6× 39 963
Kevin M. Bennett United States 25 757 1.9× 270 1.2× 142 0.7× 150 1.4× 100 1.1× 64 1.7k
Jun Cheng China 17 324 0.8× 348 1.6× 105 0.5× 53 0.5× 276 2.9× 73 1.0k
Masaaki Komatsu Japan 22 345 0.8× 393 1.8× 54 0.3× 95 0.9× 225 2.4× 70 1.4k
Jerome Cheng United States 14 185 0.5× 117 0.5× 75 0.4× 38 0.3× 305 3.2× 49 627
Chao Ma China 21 552 1.4× 205 0.9× 49 0.2× 103 0.9× 96 1.0× 120 1.3k
Christine Nardini Italy 20 302 0.7× 703 3.2× 37 0.2× 59 0.5× 127 1.4× 68 1.6k
Ruoxi Yu United States 16 219 0.5× 261 1.2× 95 0.5× 65 0.6× 188 2.0× 42 1.2k
Xiaoyi Wang China 18 230 0.6× 133 0.6× 39 0.2× 99 0.9× 40 0.4× 98 939

Countries citing papers authored by Chengyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengyan Wang. A scholar is included among the top collaborators of Chengyan 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 Chengyan Wang. Chengyan 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, Zi, Min Xiao, Chengyan Wang, et al.. (2025). Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI. IEEE Transactions on Biomedical Engineering. 72(12). 3642–3654. 2 indexed citations
2.
Wang, Zi, et al.. (2025). Robust Cardiac Cine MRI Reconstruction With Spatiotemporal Diffusion Model. IEEE Transactions on Computational Imaging. 11. 1258–1270.
3.
4.
Zhang, Yizhe, Meng Liu, Zian Wang, et al.. (2024). Fairness in artificial intelligence‐driven multi‐organ image segmentation. SHILAP Revista de lepidopterología. 2(6). 539–556.
5.
Hu, Xin, Rencheng Zheng, Meng Liu, et al.. (2024). Application of graph theory in liver research: A review. SHILAP Revista de lepidopterología. 3(4). 234–248. 1 indexed citations
6.
Liu, Meng, Mengting Sun, Qing Li, et al.. (2024). Integrating Multi-Organ Imaging-Derived Phenotypes and Genomic Information for Predicting the Occurrence of Common Diseases. Bioengineering. 11(9). 872–872.
7.
Lyu, Jun, Bin Sui, Chengyan Wang, Qi Dou, & Jing Qin. (2023). Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Systems with Applications. 232. 120836–120836. 13 indexed citations
8.
Dai, Yuxiang, Chengyan Wang, & He Wang. (2023). Deep compressed sensing MRI via a gradient‐enhanced fusion model. Medical Physics. 50(3). 1390–1405. 3 indexed citations
9.
Zheng, Rencheng, et al.. (2023). A Coarse-to-Fine Fusion Network for Small Liver Tumor Detection and Segmentation: A Real-World Study. Diagnostics. 13(15). 2504–2504. 3 indexed citations
10.
Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12004–12014. 18 indexed citations
11.
Wang, Chengyan, Zhang Shi, Yan Li, et al.. (2023). Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project. PubMed. 3(6). 642–656. 8 indexed citations
12.
Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Analysis. 85. 102760–102760. 27 indexed citations
13.
Chen, Yu, Ruokun Li, Di Ma, et al.. (2022). Correlation analysis of structural and biomechanical properties of hepatocellular carcinoma tissue. Journal of Biomechanics. 141. 111227–111227. 4 indexed citations
14.
Li, Guangyuan, Jun Lv, & Chengyan Wang. (2021). A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI Reconstruction. IEEE Access. 9. 83185–83198. 18 indexed citations
15.
Li, Guangyuan, Jun Lv, Xiangrong Tong, Chengyan Wang, & Guang Yang. (2021). High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss. IEEE Access. 9. 105951–105964. 25 indexed citations
16.
Zheng, Rencheng, Chunzi Shi, Chengyan Wang, et al.. (2021). Imaging-Based Staging of Hepatic Fibrosis in Patients with Hepatitis B: A Dynamic Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI. Biomolecules. 11(2). 307–307. 7 indexed citations
17.
Wang, Chengyan, et al.. (2020). Correction of out-of-FOV motion artifacts using convolutional neural network. Magnetic Resonance Imaging. 71. 93–102. 13 indexed citations
18.
Wang, Yao, Rui Zhang, Bihui Zhang, et al.. (2019). Simultaneous R2, R2' and R2* measurement of skeletal muscle in a rabbit model of unilateral artery embolization. Magnetic Resonance Imaging. 61. 149–157. 2 indexed citations
19.
Jin, Xiaohan, Zhongwei Xu, Jin Cao, et al.. (2017). Proteomics analysis of human placenta reveals glutathione metabolism dysfunction as the underlying pathogenesis for preeclampsia. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(9). 1207–1214. 35 indexed citations
20.
Jin, Bei, Chengyan Wang, Juan Li, et al.. (2016). Anthelmintic Niclosamide Disrupts the Interplay of p65 and FOXM1/β-catenin and Eradicates Leukemia Stem Cells in Chronic Myelogenous Leukemia. Clinical Cancer Research. 23(3). 789–803. 53 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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