Wansheng Long

1.2k total citations
50 papers, 722 citations indexed

About

Wansheng Long is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Wansheng Long has authored 50 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Wansheng Long's work include Radiomics and Machine Learning in Medical Imaging (31 papers), Lung Cancer Diagnosis and Treatment (9 papers) and MRI in cancer diagnosis (7 papers). Wansheng Long is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (31 papers), Lung Cancer Diagnosis and Treatment (9 papers) and MRI in cancer diagnosis (7 papers). Wansheng Long collaborates with scholars based in China, United States and Canada. Wansheng Long's co-authors include Bao Feng, Enming Cui, Yehang Chen, Zhuangsheng Liu, Ronggang Li, Xiangmeng Chen, Fan Lin, Xiaoping Li, Lei Yi and Kunwei Li and has published in prestigious journals such as Nature Communications, Neuroscience and Physics in Medicine and Biology.

In The Last Decade

Wansheng Long

45 papers receiving 715 citations

Peers

Wansheng Long
Guangyao Wu Netherlands
Hwan-ho Cho South Korea
Pierre Decazes France
Yue Cheng China
Ghasem Hajianfar Iran
Kelsey L. Pomykala Germany
Georg Wengert Austria
Mehrdad Oveisi Iran
Xiaozhu Lin China
Guangyao Wu Netherlands
Wansheng Long
Citations per year, relative to Wansheng Long Wansheng Long (= 1×) peers Guangyao Wu

Countries citing papers authored by Wansheng Long

Since Specialization
Citations

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

Fields of papers citing papers by Wansheng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wansheng Long

This figure shows the co-authorship network connecting the top 25 collaborators of Wansheng Long. A scholar is included among the top collaborators of Wansheng Long 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 Wansheng Long. Wansheng Long 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.
Chen, Yehang, Yuan Chen, Peijun Li, et al.. (2025). General lightweight framework for vision foundation model supporting multi-task and multi-center medical image analysis. Nature Communications. 16(1). 2097–2097. 5 indexed citations
2.
3.
Feng, Bao, Yu Liu, Qinghui Hu, et al.. (2024). Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images. Heliyon. 10(3). e25655–e25655. 3 indexed citations
4.
Feng, Bao, Zhiqi Yang, Shi‐Ting Feng, et al.. (2024). Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence. Nature Communications. 15(1). 742–742. 25 indexed citations
5.
Chen, Xiangmeng, Bao Feng, Yehang Chen, et al.. (2023). Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. European Radiology. 33(10). 6804–6816. 8 indexed citations
6.
Feng, Bao, Xiangmeng Chen, Yehang Chen, et al.. (2023). Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning. Cancers. 15(3). 892–892. 8 indexed citations
7.
Lin, Fan, et al.. (2023). Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists. European Journal of Radiology. 169. 111169–111169. 2 indexed citations
8.
Zhang, Sheng, Zhiqi Yang, Xiaofeng Chen, et al.. (2023). Development of a CT image analysis-based scoring system to differentiate gastric schwannomas from gastrointestinal stromal tumors. Frontiers in Oncology. 13. 1057979–1057979. 2 indexed citations
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Long, Wansheng, et al.. (2022). More than just statics: altered complexity of dynamic amplitude of low-frequency fluctuations in the resting brain after stroke. Journal of Neural Engineering. 19(3). 36036–36036. 10 indexed citations
11.
Liu, Zhuangsheng, et al.. (2022). Small lesion classification on abbreviated breast MRI: training can improve diagnostic performance and inter-reader agreement. European Radiology. 32(8). 5742–5751. 6 indexed citations
12.
Cui, Enming, Qing Li, Yingjie Mei, et al.. (2020). Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluation. Abdominal Radiology. 45(11). 3681–3689. 3 indexed citations
13.
Liu, Zhuangsheng, Xiaoping Li, Bao Feng, et al.. (2020). MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancer. European Radiology. 31(6). 3683–3692. 9 indexed citations
14.
Liu, Zhuangsheng, Junhao Chen, Xiangmeng Chen, et al.. (2020). Value of digital mammography in predicting lymphovascular invasion of breast cancer. BMC Cancer. 20(1). 274–274. 17 indexed citations
15.
Lin, Fan, Jinpeng Xu, Lei Yi, et al.. (2020). A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma. European Journal of Radiology. 129. 109079–109079. 34 indexed citations
16.
Bao, Feng, et al.. (2020). Reduced Complexity in Stroke with Motor Deficits: A Resting-State fMRI Study. Neuroscience. 434. 35–43. 24 indexed citations
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Feng, Bao, X. Chen, Zheng Li, et al.. (2019). Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram. Clinical Radiology. 74(7). 570.e1–570.e11. 22 indexed citations
19.
Li, Xiaoping, et al.. (2016). Validation of a breast cancer nomogram to predict lymphedema in a Chinese population. Journal of Surgical Research. 210. 132–138. 14 indexed citations
20.
Long, Wansheng. (2009). The technology comparison of 64 slice spiral CTA and 3D-TOF-MRA & inspection effect on intracranial aneurysms. 1 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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