Chengwei Shao

1.3k total citations
85 papers, 824 citations indexed

About

Chengwei Shao is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chengwei Shao has authored 85 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Oncology, 42 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chengwei Shao's work include Pancreatic and Hepatic Oncology Research (39 papers), Radiomics and Machine Learning in Medical Imaging (35 papers) and Renal cell carcinoma treatment (10 papers). Chengwei Shao is often cited by papers focused on Pancreatic and Hepatic Oncology Research (39 papers), Radiomics and Machine Learning in Medical Imaging (35 papers) and Renal cell carcinoma treatment (10 papers). Chengwei Shao collaborates with scholars based in China, United States and Germany. Chengwei Shao's co-authors include Yun Bian, Jianping Lu, Xu Fang, Jieyu Yu, Hui Jiang, Tiegong Wang, Bingdi Chen, Jianping Lu, Chao Ma and Xiaochen Feng and has published in prestigious journals such as Scientific Reports, Radiology and IEEE Transactions on Image Processing.

In The Last Decade

Chengwei Shao

76 papers receiving 812 citations

Peers

Chengwei Shao
Wentao Kong China
Xinming Zhao China
Xiuhong Shan China
Muneer Ahmed United Kingdom
Han Ouyang China
X. Liem France
Yafei Qi China
Bruce A. Bornstein United States
Wengui Xu China
Dalong Wan China
Wentao Kong China
Chengwei Shao
Citations per year, relative to Chengwei Shao Chengwei Shao (= 1×) peers Wentao Kong

Countries citing papers authored by Chengwei Shao

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwei Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Chengwei Shao. A scholar is included among the top collaborators of Chengwei Shao 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 Chengwei Shao. Chengwei Shao 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, Qianwen, Zhihui Li, Shaoting Zhang, et al.. (2025). MRI-based habitat analysis for pathologic response prediction after neoadjuvant chemoradiotherapy in rectal cancer: a multicenter study. European Radiology. 36(3). 1671–1685.
2.
Qin, Jingcan, Jing Wang, Yun Bian, & Chengwei Shao. (2024). D-A-D type based NIR fluorescence probe for monitoring the cysteine levels in pancreatic cancer cell during ferroptosis. Bioorganic Chemistry. 146. 107260–107260. 12 indexed citations
3.
Chen, Yufei, Chao Ma, Panpan Yang, et al.. (2024). Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. BMC Cancer. 24(1). 1160–1160. 1 indexed citations
4.
Bian, Yun, Weifang Zhu, Fei Shi, et al.. (2024). Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation. IEEE Transactions on Image Processing. 33. 4882–4895. 1 indexed citations
5.
Zhang, Gaofeng, Qian Zhan, Panpan Yang, et al.. (2024). Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network. Computers in Biology and Medicine. 170. 107989–107989. 5 indexed citations
6.
7.
Bian, Yun, Weifang Zhu, Fei Shi, et al.. (2024). Cross-Modal Consistency for Single-Modal MR Image Segmentation. IEEE Transactions on Biomedical Engineering. 71(9). 2557–2567. 4 indexed citations
8.
Zheng, Zhilin, Xu Fang, Jiawen Yao, et al.. (2024). Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. International Journal of Computer Vision. 133(5). 2996–3019.
9.
10.
Yang, Panpan, Zhen Wang, Jun Wang, et al.. (2023). Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?. Cancer Imaging. 23(1). 8–8. 6 indexed citations
11.
Liu, Ao, Hui Jiang, Weiwei Cao, et al.. (2023). MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images. Biomedical Signal Processing and Control. 86. 105303–105303. 2 indexed citations
12.
Chen, Yukun, Panpan Yang, Caixia Fu, et al.. (2023). Variabilities in apparent diffusion coefficient (ADC) measurements of the spleen and the paraspinal muscle: A single center large cohort study. Heliyon. 9(7). e18166–e18166. 2 indexed citations
13.
Yuan, Yuan, Kuo Zheng, Lu Zhou, et al.. (2023). Predictive value of modified MRI-based split scar sign (mrSSS) score for pathological complete response after neoadjuvant chemoradiotherapy for patients with rectal cancer. International Journal of Colorectal Disease. 38(1). 40–40. 8 indexed citations
14.
Wang, Jian, Chao Ma, Panpan Yang, et al.. (2022). Diffusion‐Weighted Imaging of the Abdomen: Correction for Gradient Nonlinearity Bias in Apparent Diffusion Coefficient. Journal of Magnetic Resonance Imaging. 58(1). 223–231. 6 indexed citations
15.
Ma, Xiaolu, et al.. (2022). Prediction of clinically significant prostate cancer with a multimodal MRI-based radiomics nomogram. Frontiers in Oncology. 12. 918830–918830. 12 indexed citations
16.
Yu, Jieyu, Hao Zhang, Yan Fang Liu, et al.. (2021). Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI. Academic Radiology. 29(9). e167–e177. 8 indexed citations
17.
Wang, Tiegong, Luguang Chen, Yuan Yuan, et al.. (2021). CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion. BMC Medical Imaging. 21(1). 67–67. 8 indexed citations
18.
Zhao, Shuai, et al.. (2020). Pancreatic sarcomatoid carcinoma: CT, MRI, and 18F-FDG PET/CT features. Clinical Radiology. 75(5). 397.e7–397.e14. 5 indexed citations
19.
Huang, Xin, Huanhuan Zhu, Wenjun Le, et al.. (2018). Glypican-1-antibody-conjugated Gd-Au nanoclusters for FI/MRI dual-modal targeted detection of pancreatic cancer. International Journal of Nanomedicine. Volume 13. 2585–2599. 26 indexed citations
20.
Sun, Gaofeng, Jianhua Wang, Jian Zhang, et al.. (2013). High-resolution magic angle spinning 1H magnetic resonance spectroscopy detects choline as a biomarker in a swine obstructive chronic pancreatitis model at an early stage. Molecular BioSystems. 10(3). 467–474. 13 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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