Yunsong Peng

540 total citations
38 papers, 322 citations indexed

About

Yunsong Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yunsong Peng has authored 38 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yunsong Peng's work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (9 papers) and Brain Tumor Detection and Classification (6 papers). Yunsong Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (9 papers) and Brain Tumor Detection and Classification (6 papers). Yunsong Peng collaborates with scholars based in China, Japan and United States. Yunsong Peng's co-authors include Jian Zheng, Xiaodong Yang, Lijuan Zhou, Wei Liu, Qian Zhang, Rongpin Wang, Zhuangzhi Yan, Xiaodong Yang, Gang Yuan and Shuangqing Chen and has published in prestigious journals such as NeuroImage, Expert Systems with Applications and Life Sciences.

In The Last Decade

Yunsong Peng

30 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunsong Peng China 11 201 133 61 50 47 38 322
Manudeep Kalra United States 11 208 1.0× 87 0.7× 48 0.8× 96 1.9× 30 0.6× 14 380
Tobias Hepp Germany 12 263 1.3× 89 0.7× 69 1.1× 86 1.7× 19 0.4× 26 405
Shujun Liang China 9 309 1.5× 182 1.4× 44 0.7× 72 1.4× 42 0.9× 20 467
Subrata Bhattacharjee South Korea 12 121 0.6× 141 1.1× 34 0.6× 35 0.7× 81 1.7× 34 336
Riqiang Gao United States 11 213 1.1× 94 0.7× 115 1.9× 57 1.1× 23 0.5× 34 340
Anup Sadhu India 12 209 1.0× 154 1.2× 123 2.0× 39 0.8× 64 1.4× 40 404
Lucas Fidon United Kingdom 6 216 1.1× 131 1.0× 45 0.7× 84 1.7× 60 1.3× 13 447
Takahiro Nakao Japan 10 219 1.1× 107 0.8× 112 1.8× 44 0.9× 37 0.8× 34 460
Zhuoyuan Li China 6 121 0.6× 101 0.8× 22 0.4× 34 0.7× 54 1.1× 12 301
Umair Javaid Belgium 6 149 0.7× 86 0.6× 50 0.8× 55 1.1× 24 0.5× 11 287

Countries citing papers authored by Yunsong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yunsong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yunsong Peng. A scholar is included among the top collaborators of Yunsong Peng 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 Yunsong Peng. Yunsong Peng 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.
Guo, Haixia, Boya Zhang, Yi Chang, et al.. (2025). Proliferation of renal macrophage via MR/CSF1 pathway induced with aldosterone and inhibited by esaxerenone. International Immunopharmacology. 149. 114208–114208. 2 indexed citations
2.
Li, Dongxue, Baojian Liu, Lin Zhu, et al.. (2025). Iron Dysregulation and Neuronal Volume Loss in Alzheimer's Disease: Insights from Hippocampal Subregional Analysis. Academic Radiology. 33(2). 544–555.
3.
Guo, Haixia, Boya Zhang, Yunsong Peng, et al.. (2025). Fibroblast to macrophage-like cell transition in renal inflammatory injury through the MR/CSF1 pathway induced by aldosterone. Life Sciences. 372. 123627–123627. 1 indexed citations
4.
Liu, Feng, et al.. (2025). BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation. Computer Methods and Programs in Biomedicine. 261. 108596–108596. 1 indexed citations
5.
Wang, Bo, et al.. (2025). Segmentation outperforms registration in quantitative analysis of brain iron. Biomedical Signal Processing and Control. 103. 107446–107446. 1 indexed citations
6.
Li, Wuchao, et al.. (2025). GAMMIL: A graph attention-guided multi-scale fusion multiple instance learning model for the WHO grading of meningioma in whole slide images. Biomedical Signal Processing and Control. 105. 107652–107652.
7.
Liu, Feng, et al.. (2024). 3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC. Biomedical Signal Processing and Control. 90. 105883–105883. 5 indexed citations
8.
Chen, Bai, et al.. (2024). Adaptive critical subgraph mining for cognitive impairment conversion prediction with T1-MRI-based brain network. Expert Systems with Applications. 264. 125809–125809.
9.
Peng, Yunsong, Feifei Wang, Helezi Zhou, et al.. (2024). Sandwich-structured electrospun polyvinylidene difluoride sensor for structural health monitoring of glass fiber reinforced polymer composites. Microstructures. 4(4). 1 indexed citations
10.
Liu, Jian, et al.. (2024). Diffusion Tensor and Kurtosis MRI‐Based Radiomics Analysis of Kidney Injury in Type 2 Diabetes. Journal of Magnetic Resonance Imaging. 60(5). 2078–2087. 4 indexed citations
11.
Peng, Yunsong, et al.. (2023). msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping. NeuroImage. 275. 120181–120181. 4 indexed citations
12.
Peng, Yunsong, Chang Gong, Chushan Zheng, et al.. (2022). Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer. Frontiers in Oncology. 12. 846775–846775. 30 indexed citations
13.
Wang, Jihui, et al.. (2021). In-plane permeability characterization of fiber fabric based on digital image technology. 复合材料学报. 38(12). 4202–4211. 1 indexed citations
14.
Peng, Yunsong, Mingming Zhang, Jialong Tang, et al.. (2021). Design of a rapid diagnostic model for bladder compliance based on real-time intravesical pressure monitoring system. Computers in Biology and Medicine. 141. 105173–105173. 9 indexed citations
15.
Peng, Yunsong, et al.. (2021). Differentiating infected focal liver lesions from malignant mimickers: value of ultrasound-based radiomics. Clinical Radiology. 77(2). 104–113. 11 indexed citations
16.
You, Meng, Yunsong Peng, Xiaodong Yang, et al.. (2021). Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network. BioMedical Engineering OnLine. 20(1). 71–71. 14 indexed citations
17.
Zheng, Jian, Shandong Wu, Ke Jiang, et al.. (2020). 3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection. IEEE Journal of Biomedical and Health Informatics. 25(3). 764–773. 9 indexed citations
18.
Peng, Yunsong, Shandong Wu, Gang Yuan, et al.. (2020). A radiomics method to classify microcalcification clusters in digital breast tomosynthesis. Medical Physics. 47(8). 3435–3446. 6 indexed citations
19.
Zhang, Qian, Yunsong Peng, Wei Liu, et al.. (2020). Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions. Journal of Magnetic Resonance Imaging. 52(2). 596–607. 71 indexed citations
20.
Peng, Yunsong, et al.. (2018). Impact of total parenteral nutrition standardization led by pharmacist on quality in postoperative patients with colorectal cancer. European Journal of Clinical Nutrition. 73(2). 243–249. 8 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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