Pei Yang

1.9k total citations
55 papers, 1.2k citations indexed

About

Pei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Pei Yang has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Pei Yang's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Head and Neck Cancer Studies (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Pei Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Head and Neck Cancer Studies (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Pei Yang collaborates with scholars based in China, United States and Egypt. Pei Yang's co-authors include Robert A. Newman, Alison D. Pawlus, Keith I. Block, Ting Xu, Clifton D. Fuller, Abdallah Mohamed, Hesham Elhalawani, Zhongxing Liao, Stefania Volpe and Timothy A. Lin and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Pei Yang

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Yang China 16 497 282 262 226 192 55 1.2k
Qin Zhao China 16 302 0.6× 129 0.5× 229 0.9× 185 0.8× 240 1.3× 34 934
Li Ren Kong China 23 887 1.8× 178 0.6× 501 1.9× 476 2.1× 646 3.4× 77 2.0k
Jiandong Zhao China 15 379 0.8× 167 0.6× 208 0.8× 166 0.7× 227 1.2× 44 1.1k
Hong Zhu China 18 371 0.7× 125 0.4× 324 1.2× 169 0.7× 437 2.3× 62 1.3k
Valentina Bravatà Italy 19 363 0.7× 276 1.0× 205 0.8× 194 0.9× 217 1.1× 43 999
Madan Lal Brahma Bhatt India 20 556 1.1× 95 0.3× 154 0.6× 264 1.2× 259 1.3× 79 1.1k
Rui Guo China 15 187 0.4× 210 0.7× 88 0.3× 121 0.5× 124 0.6× 78 756
Hongcheng Zhu China 27 929 1.9× 128 0.5× 431 1.6× 586 2.6× 527 2.7× 97 1.9k

Countries citing papers authored by Pei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Yang. A scholar is included among the top collaborators of Pei Yang 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 Pei Yang. Pei Yang 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.
Yang, Pei, Jianan Wei, Lisha Jiang, et al.. (2025). Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach. BMC Medical Imaging. 25(1). 38–38. 1 indexed citations
2.
Liu, Jin, et al.. (2024). CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma. Journal of Computational Biology. 32(2). 212–224.
3.
Gan, Lijuan, Pei Yang, Yuanliang Xie, et al.. (2024). Evaluation of split renal dysfunction using radiomics based on magnetic resonance diffusion‐weighted imaging. Medical Physics. 51(8). 5226–5235. 1 indexed citations
4.
Yang, Chao, Pei Yang, Rongrong Zhou, et al.. (2023). CT-based dosiomics and radiomics model predicts radiation-induced lymphopenia in nasopharyngeal carcinoma patients. Frontiers in Oncology. 13. 1168995–1168995. 3 indexed citations
5.
Wang, Tao, Yuqing Liu, Ling Mei, et al.. (2021). Proteins in plasma as a potential biomarkers diagnostic for pelvic organ prolapse. Annals of Translational Medicine. 9(14). 1117–1117. 2 indexed citations
6.
Barua, Souptik, Hesham Elhalawani, Stefania Volpe, et al.. (2021). Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Frontiers in Artificial Intelligence. 4. 618469–618469. 11 indexed citations
7.
Xiong, Kun, et al.. (2020). Circular RNA circKIF4A Sponges miR-375/1231 to Promote Bladder Cancer Progression by Upregulating NOTCH2 Expression. Frontiers in Pharmacology. 11. 605–605. 29 indexed citations
8.
Wang, Jian, Rongjie Liu, Yu Zhao, et al.. (2020). A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography. Translational Cancer Research. 9(8). 4726–4738. 14 indexed citations
9.
Elhalawani, Hesham, Pei Yang, Mohamed E. Abazeed, et al.. (2020). Real-world applications of deep convolutional neural networks in diagnostic cancer imaging. Chinese Clinical Oncology. 9(6). 82–82.
10.
Yang, Pei, Ting Xu, Daniel R. Gomez, et al.. (2018). Patterns of Local-Regional Failure After Intensity Modulated Radiation Therapy or Passive Scattering Proton Therapy With Concurrent Chemotherapy for Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 103(1). 123–131. 17 indexed citations
11.
He, Yi, Fang Wei, Yanyan Tang, et al.. (2018). Long non-coding RNA PVT1 predicts poor prognosis and induces radioresistance by regulating DNA repair and cell apoptosis in nasopharyngeal carcinoma. Cell Death and Disease. 9(2). 235–235. 137 indexed citations
12.
Piao, Hulin, et al.. (2018). Association between Homocysteine and Cerebral Small Vessel Disease: A Meta-Analysis. Journal of Stroke and Cerebrovascular Diseases. 27(9). 2423–2430. 26 indexed citations
13.
Deist, Timo M., Pei Yang, Cary Oberije, et al.. (2017). Dosimetric Analysis of Randomized Proton and Photon Plans with Respect to Radiation Toxicity: The Importance of High Dose Regions in Lung and Esophagus. International Journal of Radiation Oncology*Biology*Physics. 98(1). 246–246. 2 indexed citations
14.
Yang, Pei, et al.. (2017). [Epidemiological investigation of allergic rhinitis in Ningxia].. PubMed. 52(7). 491–496. 1 indexed citations
15.
Zhang, Wencheng, Xiaodong Zhang, Pei Yang, et al.. (2017). Intensity-modulated proton therapy and osteoradionecrosis in oropharyngeal cancer. Radiotherapy and Oncology. 123(3). 401–405. 68 indexed citations
16.
Kong, Fanming, et al.. (2015). Surgery combined with chemotherapy for recurrent gastric cancer achieves better long-term prognosis. Clinical & Translational Oncology. 17(11). 917–924. 5 indexed citations
17.
Hu, Ting, Pei Yang, Hongmei Zhu, et al.. (2015). Accumulation of invariant NKT cells with increased IFN-γ production in persistent high-risk HPV-infected high-grade cervical intraepithelial neoplasia. Diagnostic Pathology. 10(1). 20–20. 21 indexed citations
18.
Hong, David S., Haby Henary, G. S. Falchook, et al.. (2014). First-in-human study of pbi-05204, an oleander-derived inhibitor of akt, fgf-2, nf-κΒ and p70s6k, in patients with advanced solid tumors. Investigational New Drugs. 32(6). 1204–1212. 58 indexed citations
19.
Yang, Pei, et al.. (2012). Study on risk factors of brain metastases of locally advanced non-small-cell lung cancer. 24(1). 24–27. 1 indexed citations
20.
Newman, Robert A., Pei Yang, Alison D. Pawlus, & Keith I. Block. (2008). Cardiac Glycosides as Novel Cancer Therapeutic Agents. Molecular Interventions. 8(1). 36–49. 409 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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