Jingchen Ma

506 total citations
24 papers, 352 citations indexed

About

Jingchen Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Jingchen Ma has authored 24 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Jingchen Ma's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced X-ray and CT Imaging (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Jingchen Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced X-ray and CT Imaging (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Jingchen Ma collaborates with scholars based in China, United States and Taiwan. Jingchen Ma's co-authors include Jun Zhao, Yacheng Ren, Junfeng Xiong, Xiaolong Fu, Wen Yu, Qian Wang, Xu‐Wei Cai, Zhiyong Xu, Jie Zhang and Xiaoyang Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Jingchen Ma

21 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingchen Ma China 11 318 194 87 68 50 24 352
E Linning China 12 306 1.0× 238 1.2× 90 1.0× 38 0.6× 48 1.0× 21 377
Bao Feng China 10 345 1.1× 202 1.0× 85 1.0× 80 1.2× 40 0.8× 32 413
Christian V. Guthier United States 9 282 0.9× 146 0.8× 71 0.8× 61 0.9× 26 0.5× 27 416
Sohee Park South Korea 13 344 1.1× 287 1.5× 70 0.8× 44 0.6× 37 0.7× 27 459
Carsten Ammitzbøl Lauridsen Denmark 10 264 0.8× 149 0.8× 47 0.5× 102 1.5× 28 0.6× 25 369
Yehang Chen China 10 318 1.0× 174 0.9× 81 0.9× 76 1.1× 36 0.7× 26 382
Johannes Ulén Sweden 13 330 1.0× 183 0.9× 127 1.5× 51 0.8× 24 0.5× 29 467
Ivan Zhovannik Netherlands 8 272 0.9× 88 0.5× 124 1.4× 69 1.0× 49 1.0× 15 310
Zhuangsheng Liu China 10 269 0.8× 133 0.7× 61 0.7× 71 1.0× 35 0.7× 17 334
Artit Jirapatnakul United States 15 443 1.4× 383 2.0× 110 1.3× 66 1.0× 50 1.0× 42 611

Countries citing papers authored by Jingchen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jingchen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingchen Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jingchen Ma. A scholar is included among the top collaborators of Jingchen 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 Jingchen Ma. Jingchen 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.
Ma, Jingchen, et al.. (2025). Inkjet-printed niobium tungsten oxide thin-film memristors for neuromorphic computing. Materials Today Communications. 44. 112088–112088.
2.
Fu, Yuanyuan, Yujia Shen, Jingchen Ma, et al.. (2025). Lung Cancer Screening Classification by Sequential Multi-Instance Learning (SMILE) Framework With Multiple CT Scans. IEEE Transactions on Medical Imaging. 44(8). 3151–3161.
3.
Chen, Zhiwen, Jingchen Ma, Aixiang Wei, et al.. (2024). High-sensitivity and ultra-broad linear working region flexible piezoresistive pressure sensors based on PDMS/CNT/TPU. Journal of Alloys and Compounds. 1010. 177711–177711. 5 indexed citations
4.
Ibrahim, Abdalla, Peng Geng, Hao Yang, et al.. (2024). Machine learning-based identification of contrast-enhancement phase of computed tomography scans. PLoS ONE. 19(2). e0294581–e0294581. 1 indexed citations
5.
Ma, Jingchen, Hao Yang, Jin hwan Yoon, et al.. (2024). Generalizability of lesion detection and segmentation when ScaleNAS is trained on a large multi‐organ dataset and validated in the liver. Medical Physics. 52(2). 1005–1018. 2 indexed citations
6.
Ma, Jingchen, Jin hwan Yoon, Lu Lin, et al.. (2024). A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning. Journal of Applied Clinical Medical Physics. 25(9). e14434–e14434. 1 indexed citations
7.
Zhao, Sicheng, Hao Yang, Jingchen Ma, et al.. (2023). Deep learning-based covert brain infarct detection from multiple MRI sequences. Neurocomputing. 550. 126464–126464. 2 indexed citations
8.
Ma, Jingchen, et al.. (2022). PUNDIT: Pulmonary nodule detection with image category transformation. Medical Physics. 50(5). 2914–2927. 3 indexed citations
9.
Ma, Jingchen, Ni He, Jin hwan Yoon, et al.. (2021). Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search. European Journal of Radiology. 142. 109878–109878. 15 indexed citations
10.
Dercle, Laurent, Jingchen Ma, Chuanmiao Xie, et al.. (2020). Using a single abdominal computed tomography image to differentiate five contrast-enhancement phases: A machine-learning algorithm for radiomics-based precision medicine. European Journal of Radiology. 125. 108850–108850. 15 indexed citations
11.
Ma, Jingchen, Laurent Dercle, Paul Lichtenstein, et al.. (2019). Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks. Academic Radiology. 27(2). e10–e18. 13 indexed citations
12.
Xiong, Junfeng, Xiaoyang Li, Wen Yu, et al.. (2019). Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling. European Radiology. 29(9). 4742–4750. 124 indexed citations
13.
Fu, Ling, et al.. (2019). Automatic Detection of Lung Nodules Using 3D Deep Convolutional Neural Networks. Journal of Shanghai Jiaotong University (Science). 24(4). 517–523. 9 indexed citations
14.
Xiong, Junfeng, Wen Yu, Jingchen Ma, et al.. (2018). The Role of PET-Based Radiomic Features in Predicting Local Control of Esophageal Cancer Treated with Concurrent Chemoradiotherapy. Scientific Reports. 8(1). 9902–9902. 35 indexed citations
15.
Ren, Yacheng, et al.. (2018). Improved False Positive Reduction by Novel Morphological Features for Computer-Aided Polyp Detection in CT Colonography. IEEE Journal of Biomedical and Health Informatics. 23(1). 324–333. 13 indexed citations
16.
Song, Ying, et al.. (2017). Limited-Range Few-View CT: Using Historical Images for ROI Reconstruction in Solitary Lung Nodules Follow-up Examination. IEEE Transactions on Medical Imaging. 36(12). 2569–2577. 2 indexed citations
17.
Fu, Ling, et al.. (2017). Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101340A–101340A. 23 indexed citations
18.
Ma, Jingchen, et al.. (2016). Automatic lung nodule classification with radiomics approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9789. 978906–978906. 35 indexed citations
19.
Ren, Yacheng, Jingchen Ma, Junfeng Xiong, Lin Lü, & Jun Zhao. (2016). High-Performance CAD-CTC Scheme Using Shape Index, Multiscale Enhancement Filters, and Radiomic Features. IEEE Transactions on Biomedical Engineering. 64(8). 1924–1934. 11 indexed citations
20.
Chen, Yi, Ying Song, Jingchen Ma, & Jun Zhao. (2016). Optimization-based scatter estimation using primary modulation for computed tomography. Medical Physics. 43(8Part1). 4753–4767. 12 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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