Chaoqiong Ma

1.1k total citations
25 papers, 897 citations indexed

About

Chaoqiong Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chaoqiong Ma has authored 25 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Radiation and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chaoqiong Ma's work include Advanced Radiotherapy Techniques (10 papers), Advanced MRI Techniques and Applications (7 papers) and Functional Brain Connectivity Studies (6 papers). Chaoqiong Ma is often cited by papers focused on Advanced Radiotherapy Techniques (10 papers), Advanced MRI Techniques and Applications (7 papers) and Functional Brain Connectivity Studies (6 papers). Chaoqiong Ma collaborates with scholars based in China, United States and United Kingdom. Chaoqiong Ma's co-authors include Wenbin Guo, Jingping Zhao, Feng Liu, Zhening Liu, Zhimin Xue, Changlian Tan, Changqing Xiao, Huafu Chen, Ling Zeng and Jindong Chen and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and Physics in Medicine and Biology.

In The Last Decade

Chaoqiong Ma

20 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoqiong Ma China 11 669 434 200 96 90 25 897
Marie‐Louise Montandon Switzerland 18 192 0.3× 726 1.7× 36 0.2× 30 0.3× 147 1.6× 52 1.1k
Luo Ouyang United States 18 282 0.4× 690 1.6× 43 0.2× 19 0.2× 193 2.1× 46 983
Camellia P. Clark United States 14 530 0.8× 232 0.5× 474 2.4× 65 0.7× 77 0.9× 20 1.1k
Nanbo Sun United States 9 798 1.2× 357 0.8× 236 1.2× 17 0.2× 139 1.5× 11 965
Carinna M. Torgerson United States 18 796 1.2× 345 0.8× 55 0.3× 24 0.3× 203 2.3× 29 1.2k
Lianping Zhao China 15 410 0.6× 277 0.6× 164 0.8× 15 0.2× 288 3.2× 41 679
Jon Kar Zubieta United States 12 216 0.3× 115 0.3× 66 0.3× 53 0.6× 184 2.0× 13 638
Jorge Arrubla Germany 13 358 0.5× 157 0.4× 49 0.2× 32 0.3× 64 0.7× 22 595
Christine Law United States 9 480 0.7× 223 0.5× 103 0.5× 57 0.6× 73 0.8× 20 709
Uwe H. Melchert Germany 15 246 0.4× 192 0.4× 72 0.4× 11 0.1× 27 0.3× 30 808

Countries citing papers authored by Chaoqiong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chaoqiong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoqiong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoqiong Ma. A scholar is included among the top collaborators of Chaoqiong 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 Chaoqiong Ma. Chaoqiong 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.
2.
Wang, Chuantao, et al.. (2025). Medical image segmentation model based on multi-scale fusion and feature reconstruction convolution. Biomedical Signal Processing and Control. 112. 108464–108464.
3.
Yang, Zhaojun, et al.. (2025). Joint production, quality and condition-based maintenance strategy for manufacturing system considering the dynamic customer demand under delivery performance. Computers & Industrial Engineering. 207. 111271–111271. 1 indexed citations
4.
Ma, Chaoqiong, Xiao Wang, Ke Nie, et al.. (2025). Recent technical advancements and clinical applications of MR-guided radiotherapy in lung cancer treatment. Frontiers in Oncology. 15. 1622060–1622060.
5.
Liu, Yan, et al.. (2025). Data imbalance fault diagnosis method based on an ensemble multi-scale convolutional attention network. Mechanical Systems and Signal Processing. 236. 112934–112934. 6 indexed citations
6.
Ma, Chaoqiong, Jun Zhou, Chih‐Wei Chang, et al.. (2024). Streamlined pin‐ridge‐filter design for single‐energy proton FLASH planning. Medical Physics. 51(4). 2955–2966. 10 indexed citations
7.
Yuan, Xiaohan, et al.. (2024). Machine learning in image‐based outcome prediction after radiotherapy: A review. Journal of Applied Clinical Medical Physics. 26(1). e14559–e14559. 2 indexed citations
8.
9.
10.
Pan, Shaoyan, Chaoqiong Ma, Chih‐Wei Chang, et al.. (2023). Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. 11–11. 1 indexed citations
11.
Ma, Chaoqiong, Xiaofeng Yang, Chih‐Wei Chang, et al.. (2023). Feasibility study of hybrid inverse planning with transmission beams and single‐energy spread‐out Bragg peaks for proton FLASH radiotherapy. Medical Physics. 50(6). 3687–3700. 13 indexed citations
12.
Gao, Yuan, Chih‐Wei Chang, Shaoyan Pan, et al.. (2023). Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy. Physics in Medicine and Biology. 69(2). 25004–25004. 14 indexed citations
13.
Ma, Chaoqiong, Zhen Tian, Ruoxi Wang, et al.. (2022). A prediction model for dosimetric‐based lung adaptive radiotherapy. Medical Physics. 49(10). 6319–6333. 5 indexed citations
14.
Ma, Chaoqiong, David Parsons, Steve Jiang, et al.. (2019). Electron modulated arc therapy (EMAT) using photon MLC for postmastectomy chest wall treatment I: Monte Carlo-based dosimetric characterizations. Physica Medica. 67. 1–8. 6 indexed citations
15.
Ma, Chaoqiong, Troy Long, David Parsons, et al.. (2018). Flattening filter free in intensity‐modulated radiotherapy (IMRT) – Theoretical modeling with delivery efficiency analysis. Medical Physics. 46(1). 34–44. 12 indexed citations
16.
Ma, Chaoqiong, et al.. (2015). Molecular dynamics study on the interactions between helium projectiles and helium bubbles pre-existing in tungsten surfaces. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 368. 50–59. 9 indexed citations
17.
Ma, Chaoqiong, Jurong Ding, Jun Li, et al.. (2012). Resting-State Functional Connectivity Bias of Middle Temporal Gyrus and Caudate with Altered Gray Matter Volume in Major Depression. PLoS ONE. 7(9). e45263–e45263. 139 indexed citations
18.
Liu, Feng, Wenbin Guo, Ling Liu, et al.. (2012). Abnormal amplitude low-frequency oscillations in medication-naive, first-episode patients with major depressive disorder: A resting-state fMRI study. Journal of Affective Disorders. 146(3). 401–406. 215 indexed citations
19.
Guo, Wenbin, Jindong Chen, Xijia Xu, et al.. (2012). Altered white matter integrity of forebrain in treatment-resistant depression: A diffusion tensor imaging study with tract-based spatial statistics. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 38(2). 201–206. 69 indexed citations
20.
Guo, Wenbin, Feng Liu, Zhimin Xue, et al.. (2011). Abnormal neural activities in first-episode, treatment-naïve, short-illness-duration, and treatment-response patients with major depressive disorder: A resting-state fMRI study. Journal of Affective Disorders. 135(1-3). 326–331. 124 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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