Ning Wen

3.1k total citations
135 papers, 2.0k citations indexed

About

Ning Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ning Wen has authored 135 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Radiology, Nuclear Medicine and Imaging, 80 papers in Radiation and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ning Wen's work include Advanced Radiotherapy Techniques (79 papers), Medical Imaging Techniques and Applications (48 papers) and Radiation Therapy and Dosimetry (25 papers). Ning Wen is often cited by papers focused on Advanced Radiotherapy Techniques (79 papers), Medical Imaging Techniques and Applications (48 papers) and Radiation Therapy and Dosimetry (25 papers). Ning Wen collaborates with scholars based in United States, China and Finland. Ning Wen's co-authors include Indrin J. Chetty, Benjamin Movsas, Carri Glide‐Hurst, Bo Zhao, Mohamed A. Elshaikh, Joshua Kim, Jinkoo Kim, Yimei Huang, T Nurushev and Huaiqun Guan and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Ning Wen

123 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ning Wen 1.3k 1.3k 909 582 185 135 2.0k
Nesrin Dogan 1.7k 1.3× 1.5k 1.2× 1.2k 1.3× 595 1.0× 127 0.7× 75 2.3k
Jinkoo Kim 825 0.6× 638 0.5× 512 0.6× 279 0.5× 152 0.8× 42 1.4k
James L. Robar 1.1k 0.8× 796 0.6× 711 0.8× 475 0.8× 119 0.6× 92 1.6k
Tianye Niu 453 0.3× 2.6k 2.0× 782 0.9× 1.4k 2.3× 353 1.9× 139 3.2k
Jasper Nijkamp 1.1k 0.9× 917 0.7× 830 0.9× 295 0.5× 401 2.2× 73 1.8k
Helen Liu 1.2k 0.9× 835 0.6× 1.2k 1.4× 303 0.5× 265 1.4× 54 2.5k
Sung‐Joon Ye 1.1k 0.8× 940 0.7× 759 0.8× 607 1.0× 82 0.4× 124 1.7k
Xavier Geets 1.6k 1.2× 2.0k 1.5× 1.2k 1.4× 334 0.6× 181 1.0× 83 2.8k
Byungchul Cho 1.6k 1.2× 1.4k 1.1× 1.0k 1.1× 388 0.7× 204 1.1× 78 2.1k
Jenghwa Chang 837 0.6× 1.2k 0.9× 747 0.8× 621 1.1× 65 0.4× 113 2.0k

Countries citing papers authored by Ning Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Wen. A scholar is included among the top collaborators of Ning Wen 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 Ning Wen. Ning Wen 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.
Lou, Wenhui, et al.. (2025). GLUT1 Promotes Squamous Metaplasia in Eosinophilic Chronic Rhinosinusitis with Nasal Polyps. American Journal of Rhinology and Allergy. 39(5). 353–363.
2.
Wen, Ning, Zhanhong Ma, Jiajie Peng, et al.. (2025). Central Place Theory Based on Mobile Signal Data: The Case of Urban Parks in Beijing and Changsha. Land. 14(4). 673–673.
3.
Hu, Jiajia, Peng Yao, Zi Yang, et al.. (2025). Hypermetabolic pulmonary lesions detection and diagnosis based on PET/CT imaging and deep learning models. European Journal of Nuclear Medicine and Molecular Imaging. 52(10). 3792–3806.
4.
Wen, Ning, et al.. (2023). Develop and Evaluate a Dose Calculation Strategy Using Electron Density Maps from Spectral CT. International Journal of Radiation Oncology*Biology*Physics. 117(2). e737–e737.
5.
Yan, Fuhua, et al.. (2023). Large Language Model Locally Fine-tuning (LLMLF) on Chinese Medical Imaging Reports. 273–279. 4 indexed citations
6.
Zong, Weiwei, Simeng Zhu, Joon Lee, et al.. (2022). Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization. Scientific Reports. 12(1). 22430–22430. 6 indexed citations
7.
Mao, Weihua, Chang Liu, Stephen Gardner, et al.. (2021). How does CBCT reconstruction algorithm impact on deformably mapped targets and accumulated dose distributions?. Journal of Applied Clinical Medical Physics. 22(9). 37–48. 3 indexed citations
8.
Wen, Ning, Nan Zong, Fengfeng Zhang, et al.. (2020). Generation of a 177.3 nm VUV laser with high pulse energy by a KBBF crystal. Laser Physics Letters. 17(10). 105001–105001. 7 indexed citations
9.
Janic, Branislava, et al.. (2019). Gold Nanoparticles as Radiosensitizers in MDA MB 231 Xenograft Mouse Model. International Journal of Radiation Oncology*Biology*Physics. 105(1). E677–E678. 2 indexed citations
10.
Dolan, Jennifer, Joshua Kim, Karen Snyder, Indrin J. Chetty, & Ning Wen. (2019). Investigation of SRS Spine Treatment Plan Quality on a Magnetic Resonance Image Guided Linear Accelerator. 11(3). 1 indexed citations
11.
Gardner, Stephen, et al.. (2019). Modeling AeroForm tissue expander for postmastectomy radiation therapy. Journal of Applied Clinical Medical Physics. 20(8). 87–97. 4 indexed citations
12.
Liu, Chang, Stephen Gardner, Ning Wen, et al.. (2018). Automatic segmentation of the prostate gland on planning ct images using deep neural networks (DNN).. Medical Physics. 45(6). 1 indexed citations
13.
Wen, Ning, Karen Snyder, Yimei Huang, et al.. (2016). The Projection Summing Optimization Algorithm Can Effectively Reduce Normal Brain Dose in Stereotactic Radiosurgery of Multiple Brain Metastases With Single Isocenter. International Journal of Radiation Oncology*Biology*Physics. 96(2). E676–E677. 1 indexed citations
14.
Zhong, Hualiang, et al.. (2016). Deriving detector‐specific correction factors for rectangular small fields using a scintillator detector. Journal of Applied Clinical Medical Physics. 17(6). 379–391. 16 indexed citations
15.
Song, Kwang Yong, Stephen Gardner, Indrin J. Chetty, et al.. (2016). Evaluation of gantry speed on image quality and imaging dose for 4D cone-beam CT acquisition. Radiation Oncology. 11(1). 98–98. 30 indexed citations
16.
Wen, Ning. (2015). A Novel Linear Accelerator Based StereotacticRadiosurgery System. Imaging in Medicine. 7(2). 2 indexed citations
17.
Gardner, Stephen, M Gulam, Kwang Yong Song, et al.. (2015). Generation and verification of QFix kVue Calypso‐compatible couch top model for a dedicated stereotactic linear accelerator with FFF beams. Journal of Applied Clinical Medical Physics. 16(4). 163–180. 8 indexed citations
18.
Gardner, Stephen, Ning Wen, Jinkoo Kim, et al.. (2015). Contouring variability of human- and deformable-generated contours in radiotherapy for prostate cancer. Physics in Medicine and Biology. 60(11). 4429–4447. 41 indexed citations
19.
Jin, Jian‐Yue, Lei Ren, Qiang Liu, et al.. (2010). Combining scatter reduction and correction to improve image quality in cone‐beam computed tomography (CBCT). Medical Physics. 37(11). 5634–5644. 71 indexed citations
20.
Wen, Ning, et al.. (1993). Three-dimensional biomechanical properties of the human cervical spine in vitro. European Spine Journal. 2(1). 12–15. 16 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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