Changsheng Ma

743 total citations
53 papers, 554 citations indexed

About

Changsheng Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Changsheng Ma has authored 53 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Radiation and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Changsheng Ma's work include Advanced Radiotherapy Techniques (25 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Medical Imaging Techniques and Applications (12 papers). Changsheng Ma is often cited by papers focused on Advanced Radiotherapy Techniques (25 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Medical Imaging Techniques and Applications (12 papers). Changsheng Ma collaborates with scholars based in China, United States and Hong Kong. Changsheng Ma's co-authors include Yong Yin, Guo‐Quan Lu, Yunhui Mei, Tonghai Liu, Shancan Fu, Judong Luo, Jian Zhu, Qingtao Qiu, Jinhu Chen and Xin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Power Electronics.

In The Last Decade

Changsheng Ma

49 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changsheng Ma China 13 215 169 145 137 83 53 554
Zhikai Liu China 16 259 1.2× 115 0.7× 198 1.4× 33 0.2× 48 0.6× 62 718
Noriyoshi Takahashi Japan 15 243 1.1× 395 2.3× 179 1.2× 88 0.6× 27 0.3× 112 786
H. Weiß United States 11 106 0.5× 170 1.0× 114 0.8× 27 0.2× 78 0.9× 54 465
Hidetaka Matsuda Japan 12 81 0.4× 56 0.3× 105 0.7× 37 0.3× 20 0.2× 66 441
Rumiko Kinoshita Japan 11 243 1.1× 282 1.7× 352 2.4× 26 0.2× 50 0.6× 36 536
So‐Yeon Park South Korea 14 209 1.0× 181 1.1× 309 2.1× 28 0.2× 37 0.4× 39 474
T.L. Phillips United States 11 320 1.5× 236 1.4× 150 1.0× 32 0.2× 30 0.4× 23 628
Kaile Li China 10 118 0.5× 113 0.7× 90 0.6× 89 0.6× 26 0.3× 41 489
Benigno Barbés Spain 10 112 0.5× 95 0.6× 54 0.4× 62 0.5× 32 0.4× 30 1.1k
Jean-Yves Giraud France 17 282 1.3× 318 1.9× 378 2.6× 30 0.2× 20 0.2× 51 692

Countries citing papers authored by Changsheng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Changsheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsheng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Changsheng Ma. A scholar is included among the top collaborators of Changsheng Ma 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 Changsheng Ma. Changsheng Ma 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.
Yin, Xiaoyan, Tonghai Liu, Zhenjiang Li, et al.. (2025). Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients. BMC Gastroenterology. 25(1). 313–313. 1 indexed citations
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Zhang, Xinqiang, et al.. (2024). Trends in hospitalization for female breast and gynecological cancer in China from 2004 to 2020. Scientific Reports. 14(1). 27105–27105.
4.
Qiu, Qingtao, et al.. (2024). Research on multi-model imaging machine learning for distinguishing early hepatocellular carcinoma. BMC Cancer. 24(1). 363–363. 8 indexed citations
5.
Zhang, Xinqiang, et al.. (2024). Temporal trend in hospitalizations for malignant neoplasm and benign neoplasm: a nationwide study, China, 2004–2020. BMC Cancer. 24(1). 154–154. 1 indexed citations
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Mei, Yunhui, et al.. (2020). A Way to Reduce Leakage Current and Improve Reliability of Wire-Bonds for 300-A Multichip SiC Hybrid Modules. IEEE Journal of Emerging and Selected Topics in Power Electronics. 9(4). 4887–4896. 3 indexed citations
10.
Li, Dan, Yunhui Mei, Yunchang Xin, et al.. (2020). Reducing Migration of Sintered Ag for Power Devices Operating at High Temperature. IEEE Transactions on Power Electronics. 35(12). 12646–12650. 28 indexed citations
11.
Duan, Jinghao, et al.. (2019). Dosimetric study of three‐dimensional static and dynamic SBRT radiotherapy for hepatocellular carcinoma based on 4DCT image deformable registration. Journal of Applied Clinical Medical Physics. 21(2). 60–66. 1 indexed citations
12.
Wang, Meiyu, et al.. (2019). A Method for Improving the Thermal Shock Fatigue Failure Resistance of IGBT Modules. IEEE Transactions on Power Electronics. 35(8). 8532–8539. 20 indexed citations
13.
Mei, Yunhui, et al.. (2018). A Multichip Phase-Leg IGBT Module Using Nanosilver Paste by Pressureless Sintering in Formic Acid Atmosphere. IEEE Transactions on Electron Devices. 65(10). 4499–4505. 19 indexed citations
14.
Luo, Judong, et al.. (2018). Knowledge‐based intensity‐modulated radiotherapy plans for cervical cancer with overlap volume of target and organs at risk. SHILAP Revista de lepidopterología. 2(1). 21–27. 3 indexed citations
15.
Huang, Pu, Changsheng Ma, Yupeng Zheng, et al.. (2018). Parotid gland radiation dose‐xerostomia relationships based on actual delivered dose for nasopharyngeal carcinoma. Journal of Applied Clinical Medical Physics. 19(3). 251–260. 20 indexed citations
16.
Huang, Pu, Gang Yu, Daniel S. Kapp, et al.. (2017). Cumulative dose of radiation therapy of hepatocellular carcinoma patients and its deterministic relation to radiation-induced liver disease. Medical dosimetry. 43(3). 258–266. 5 indexed citations
17.
Ma, Changsheng, Jianping Cao, Yong Yin, & Jian Zhu. (2013). Radiotherapy dose calculation on KV cone‐beam CT image for lung tumor using the CIRS calibration. Thoracic Cancer. 5(1). 68–73. 8 indexed citations
18.
Gong, Guanzhong, Yong Yin, Yüjie Guo, et al.. (2012). Dosimetric differences among volumetric modulated arc radiotherapy (RapidArc) plans based on different target volumes in radiotherapy of hepatocellular carcinoma. Journal of Radiation Research. 54(1). 182–189. 4 indexed citations
19.
Yin, Yafu, et al.. (2012). SU-E-T-586: Comparison between CT-and FLT-PET-Defined Target Volumes and Dosimetry for Radiotherapy Planning in Esophageal Carcinoma. Medical Physics. 39(6Part19). 3840–3840. 1 indexed citations
20.
Chen, Jinhu, et al.. (2010). Application of IMAT versus fixed-gantry IMRT in cervical esophageal cancer : A comparison in dosimetry and implementation. Zhonghua fangshe zhongliuxue zazhi. 19(5). 429–433. 2 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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