Ming Yang

2.7k total citations · 2 hit papers
106 papers, 1.8k citations indexed

About

Ming Yang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Ming Yang has authored 106 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 27 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Radiation. Recurrent topics in Ming Yang's work include Radiation Therapy and Dosimetry (26 papers), Advanced Radiotherapy Techniques (21 papers) and Advanced X-ray and CT Imaging (18 papers). Ming Yang is often cited by papers focused on Radiation Therapy and Dosimetry (26 papers), Advanced Radiotherapy Techniques (21 papers) and Advanced X-ray and CT Imaging (18 papers). Ming Yang collaborates with scholars based in China, United States and United Kingdom. Ming Yang's co-authors include Radhe Mohan, G. F. Virshup, Lei Dong, James E. Clayton, Jeffrey W. Pollard, Claire E. Lewis, Daniel J. McKay, Xiangrong Zhu, U Titt and X Zhu and has published in prestigious journals such as Science, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ming Yang

90 papers receiving 1.8k citations

Hit Papers

Comprehensive analysis of proton range uncertainties rela... 2012 2026 2016 2021 2012 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yang China 21 710 634 521 471 290 106 1.8k
Francesco C. Stingo United States 30 871 1.2× 578 0.9× 678 1.3× 1.5k 3.1× 644 2.2× 90 3.2k
Sen Bai China 22 520 0.7× 778 1.2× 246 0.5× 619 1.3× 137 0.5× 142 1.7k
Hamid Abdollahi Iran 27 664 0.9× 111 0.2× 685 1.3× 1.5k 3.3× 396 1.4× 93 2.6k
Zhen Zhang China 21 263 0.4× 84 0.1× 150 0.3× 425 0.9× 506 1.7× 109 1.6k
Wei Fan China 23 378 0.5× 80 0.1× 187 0.4× 687 1.5× 259 0.9× 159 1.7k
Xin Zhen China 22 373 0.5× 396 0.6× 254 0.5× 739 1.6× 334 1.2× 96 1.6k
Jinhua Huang China 19 339 0.5× 53 0.1× 218 0.4× 265 0.6× 154 0.5× 90 1.4k
Shifeng Chen China 18 262 0.4× 186 0.3× 82 0.2× 227 0.5× 243 0.8× 73 1.1k
Bo Zhou China 22 105 0.1× 113 0.2× 374 0.7× 626 1.3× 330 1.1× 131 1.6k
Congjun Wang China 21 153 0.2× 177 0.3× 64 0.1× 110 0.2× 284 1.0× 78 1.1k

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yang. A scholar is included among the top collaborators of Ming 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 Ming Yang. Ming 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.
4.
Guan, Fada, Dadi Jiang, Xiaochun Wang, et al.. (2024). Mimicking large spot‐scanning radiation fields for proton FLASH preclinical studies with a robotic motion platform. SHILAP Revista de lepidopterología. 8(4). 168–181. 1 indexed citations
5.
Liu, Xiufeng, et al.. (2024). A privacy-preserving heterogeneous federated learning framework with class imbalance learning for electricity theft detection. Applied Energy. 378. 124789–124789. 10 indexed citations
6.
Wang, Ruijie, et al.. (2024). Health prediction of lithium-ion batteries by combining with empirical mode decomposition and PF-GPR algorithm. Materials Today Energy. 42. 101562–101562. 18 indexed citations
7.
Mohanty, Sachi Nandan, et al.. (2024). Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models. IEEE Access. 12. 26005–26022. 28 indexed citations breakdown →
8.
Xu, Kaiwei, Ming Yang, Xu Liu, et al.. (2024). VISTA antibody-loaded Fe3O4@TiO2 nanoparticles for sonodynamic therapy-synergistic immune checkpoint therapy of pancreatic cancer. Materials Today Bio. 26. 101106–101106. 8 indexed citations
9.
Wang, Luhao, Zhuo Wang, Zhengmao Li, Ming Yang, & Xingong Cheng. (2023). Distributed optimization for network-constrained peer-to-peer energy trading among multiple microgrids under uncertainty. International Journal of Electrical Power & Energy Systems. 149. 109065–109065. 30 indexed citations
10.
Zhang, Xiaodong, et al.. (2023). A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study. Physics in Medicine and Biology. 68(9). 95014–95014. 7 indexed citations
11.
Yang, Ming, Patrick Wohlfahrt, Chenyang Shen, & Hugo Bouchard. (2022). Dual- and multi-energy CT for particle stopping-power estimation: current state, challenges and potential. Physics in Medicine and Biology. 68(4). 04TR01–04TR01. 20 indexed citations
12.
Jung, Hyunuk, et al.. (2022). Simultaneous Image Reconstruction and Element Decomposition for Iodine Contrast Agent Visualization in Multienergy Element-Resolved Cone Beam CT. Frontiers in Oncology. 12. 827136–827136. 1 indexed citations
13.
Shen, Chenyang, Bin Li, You Zhang, et al.. (2019). A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers. Physics in Medicine and Biology. 64(22). 225013–225013. 5 indexed citations
14.
Yang, Ming, et al.. (2019). Association of ATP2B1 gene polymorphism with incidence of eclampsia.. European review for medical and pharmacological sciences. 23(24). 10609–10616. 3 indexed citations
15.
Lin, Mu‐Han, Ming Yang, Osama Mohamad, et al.. (2019). Radiation Therapy for Pediatric Brain Tumors using Robotic Radiation Delivery System and Intensity Modulated Proton Therapy. Practical Radiation Oncology. 10(3). e173–e182. 6 indexed citations
16.
Chen, Xinyu, Yadong Zhang, Zhewen Zhang, et al.. (2018). PGAweb: A Web Server for Bacterial Pan-Genome Analysis. Frontiers in Microbiology. 9. 1910–1910. 24 indexed citations
17.
Li, Bin, Chenyang Shen, Ming Yang, et al.. (2018). Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. SIAM Journal on Imaging Sciences. 11(2). 1205–1229. 16 indexed citations
18.
Yang, Ming & Perrin C. White. (2017). Risk factors for hospitalization of children with congenital adrenal hyperplasia. Clinical Endocrinology. 86(5). 669–673. 5 indexed citations
19.
Chiu, Tsuicheng, Jun Tan, Xuejun Gu, et al.. (2017). Three-dimensional printer-aided casting of soft, custom silicone boluses (SCSBs) for head and neck radiation therapy. Practical Radiation Oncology. 8(3). e167–e174. 25 indexed citations
20.
Yang, Ming, G. F. Virshup, James E. Clayton, et al.. (2010). Theoretical variance analysis of single- and dual-energy computed tomography methods for calculating proton stopping power ratios of biological tissues. Physics in Medicine and Biology. 55(5). 1343–1362. 205 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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