Yingjian Yang

526 total citations
38 papers, 353 citations indexed

About

Yingjian Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Yingjian Yang has authored 38 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 10 papers in Epidemiology. Recurrent topics in Yingjian Yang's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Acute Ischemic Stroke Management (10 papers). Yingjian Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (12 papers) and Acute Ischemic Stroke Management (10 papers). Yingjian Yang collaborates with scholars based in China and United States. Yingjian Yang's co-authors include Xingdong Zhao, Yan Kang, Wei Li, Rongchang Chen, Huai Chen, Shicong Wang, Ziran Chen, Yifeng Fan, Liyuan Cui and Jiahui Lü and has published in prestigious journals such as IEEE Access, Medical Physics and International Journal of Rock Mechanics and Mining Sciences.

In The Last Decade

Yingjian Yang

35 papers receiving 349 citations

Peers

Yingjian Yang
H.V. Ortega United States
Jon Bang Norway
Tim Jerman Slovenia
Alexander Haak United States
Nirvedh H. Meshram United States
H.V. Ortega United States
Yingjian Yang
Citations per year, relative to Yingjian Yang Yingjian Yang (= 1×) peers H.V. Ortega

Countries citing papers authored by Yingjian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yingjian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjian Yang. A scholar is included among the top collaborators of Yingjian 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 Yingjian Yang. Yingjian 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.
Chen, Ziran, Jinjie Huang, Yibo Wang, et al.. (2025). BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images. Frontiers in Artificial Intelligence. 8. 1649452–1649452.
2.
Hassan, Haseeb, Yingjian Yang, Ziran Chen, et al.. (2025). Optimizing acute ischemic stroke outcome prediction by integrating radiomics features of DSC-PWI and perfusion parameter maps. Frontiers in Neurology. 16. 1528812–1528812.
3.
Yang, Yingjian, Jie Zheng, Yong Li, et al.. (2025). An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion. Frontiers in Physiology. 16. 1528067–1528067. 1 indexed citations
4.
Wang, Shicong, Wei Li, Yingjian Yang, et al.. (2024). Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images. Heliyon. 10(7). e28724–e28724. 4 indexed citations
5.
Hassan, Haseeb, et al.. (2024). Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging. Frontiers in Neuroscience. 18. 1363930–1363930. 12 indexed citations
6.
Yang, Yingjian, et al.. (2024). Ischemic stroke outcome prediction with diversity features from whole brain tissue using deep learning network. Frontiers in Neurology. 15. 1394879–1394879. 7 indexed citations
7.
Yang, Yingjian, et al.. (2024). Ischemic perfusion radiomics: assessing neurological impairment in acute ischemic stroke. Frontiers in Neurology. 15. 1441055–1441055. 1 indexed citations
8.
Deng, Xingguang, Wei Li, Yingjian Yang, et al.. (2024). COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images. Medical & Biological Engineering & Computing. 62(6). 1733–1749. 6 indexed citations
9.
Liu, Yang, Longyu Li, Guangtao Huang, et al.. (2023). A preliminary study of dynamic interactive simulation and computational CT scan of the ideal alveolus model. Medical Physics. 51(1). 601–611. 1 indexed citations
10.
Yang, Yingjian, et al.. (2023). Exploring the Effectiveness of Multi-Objective Training for Organ Substructure Segmentation in Medical Imaging. Studies in health technology and informatics. 308. 146–154. 3 indexed citations
11.
Hassan, Haseeb, et al.. (2023). Tubular Structure Segmentation via Multi-Scale Reverse Attention Sparse Convolution. Diagnostics. 13(13). 2161–2161. 9 indexed citations
12.
Yang, Yingjian, Ziran Chen, Wei Li, et al.. (2023). Multi‐Layer Perceptron Classifier with the Proposed Combined Feature Vector of 3D CNN Features and Lung Radiomics Features for COPD Stage Classification. Journal of Healthcare Engineering. 2023(1). 3715603–3715603. 7 indexed citations
13.
Zhang, Xiaoyang, et al.. (2022). Research on Representative Engineering Applications of Anemometer Towers Location in Complex Topography Wind Resource Assessment. Energy Engineering. 120(1). 163–179. 2 indexed citations
14.
Yang, Yingjian, et al.. (2022). A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke. Journal of Clinical Medicine. 11(18). 5364–5364. 16 indexed citations
15.
Yang, Yingjian, Wei Li, Yan Kang, et al.. (2022). A novel lung radiomics feature for characterizing resting heart rate and COPD stage evolution based on radiomics feature combination strategy. Mathematical Biosciences & Engineering. 19(4). 4145–4165. 17 indexed citations
16.
Yang, Yingjian, Ziran Chen, Wei Li, et al.. (2022). Multi-modal data combination strategy based on chest HRCT images and PFT parameters for intelligent dyspnea identification in COPD. Frontiers in Medicine. 9. 980950–980950. 9 indexed citations
17.
Yang, Yingjian, Wei Li, Yang Liu, et al.. (2022). Early COPD Risk Decision for Adults Aged From 40 to 79 Years Based on Lung Radiomics Features. Frontiers in Medicine. 9. 845286–845286. 15 indexed citations
18.
Wang, Mingming, et al.. (2022). Quantitative Distribution of Cerebral Venous Oxygen Saturation and Its Prognostic Value in Patients with Acute Ischemic Stroke. Brain Sciences. 12(8). 1109–1109. 1 indexed citations
19.
Li, Qiang, et al.. (2021). Performance Evaluation of Deep Learning Classification Network for Image Features. IEEE Access. 9. 9318–9333. 20 indexed citations
20.
Yang, Yingjian, Qiang Li, Jiaqi Guo, et al.. (2021). Lung parenchyma parameters measure of rats from pulmonary window computed tomography images based on ResU-Net model for medical respiratory researches. Mathematical Biosciences & Engineering. 18(4). 4193–4211. 13 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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