Yaofeng Wen

509 total citations
12 papers, 351 citations indexed

About

Yaofeng Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Yaofeng Wen has authored 12 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Yaofeng Wen's work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Yaofeng Wen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Yaofeng Wen collaborates with scholars based in China, United States and Hong Kong. Yaofeng Wen's co-authors include Dahong Qian, Hongbing Lu, Jun Wang, Chen Liu, Xiaoming Li, Hu Luo, Jiping Zhang, Tianye Niu, Naying He and Rongbiao Tang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Yaofeng Wen

11 papers receiving 339 citations

Peers

Countries citing papers authored by Yaofeng Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yaofeng Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaofeng Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Yaofeng Wen. A scholar is included among the top collaborators of Yaofeng Wen 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 Yaofeng Wen. Yaofeng Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery 2025 ·Frontiers in Bioengineering and Biotechnology ·Jiahao Bao, (unknown), (unknown), (unknown), Huazhen Liu, (unknown), Yang Yang, (unknown), (unknown), (unknown), Yong Kuen Ho, Jiayi Zhu, Linfeng Fan, Dahong Qian, (unknown), Yaofeng Wen, Hongbo Yu	0
2	Craniomaxillofacial landmarks detection in CT scans with limited labeled data via semi-supervised learning 2024 ·Heliyon ·(unknown), (unknown), Yang Yang, (unknown), Rongbin Zhang, (unknown), Yaofeng Wen, Hongbo Yu	2
3	Improving the generalization of glaucoma detection on fundus images via feature alignment between augmented views 2022 ·Biomedical Optics Express ·(unknown), Juan Ye, Jun Wang, (unknown), Linyan Wang, Kai Jin, Yaofeng Wen, Chun Zhang, Dahong Qian	5
4	Three-dimensionally printed navigational template: a promising guiding approach for lung biopsy 2022 ·Translational Lung Cancer Research ·(unknown), Jiafei Chen, Weiyan Sun, Yikai Zhang, Shengxiang Ren, (unknown), Yaofeng Wen, Chunxia Su, Jian Ni, Lei Zhang, Yayi He, Bin Chen, Roberto F. Casal, Fayez Kheir, Tsukasa Ishiwata, Jie Zhang, Deping Zhao, Chang Chen	7
5	Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer 2022 ·Human Pathology ·Jiamei Chen, Yang Yang, Bo Luo, Yaofeng Wen, (unknown), Ru Ma, Zhen Huang, (unknown), Yan Li, Yongshun Chen, Dahong Qian	9
6	Size‐adaptive mediastinal multilesion detection in chest CT images via deep learning and a benchmark dataset 2022 ·Medical Physics ·Jun Wang, (unknown), Mengmeng Zhao, Yaofeng Wen, Yunlang She, Jiajun Deng, Chang Chen, Dahong Qian, Hongbing Lu, Deping Zhao	1
7	iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients 2021 ·npj Digital Medicine ·Jun Wang, Chen Liu, (unknown), (unknown), Lichi Zhang, Cheng Jin, (unknown), Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, (unknown), Dinggang Shen, Dahong Qian, Jian Wang	11
8	IMAL‐Net: Interpretable multi‐task attention learning network for invasive lung adenocarcinoma screening in CT images 2021 ·Medical Physics ·Jun Wang, (unknown), (unknown), Yaofeng Wen, Hongbing Lu, Chen Liu, Yunlang She, Jiajun Deng, Biao Li, Dahong Qian, Chang Chen	7
9	Chromosome Classification and Straightening Based on an Interleaved and Multi-Task Network 2021 ·IEEE Journal of Biomedical and Health Informatics ·Jiping Zhang, Wenjing Hu, Shuyuan Li, Yaofeng Wen, (unknown), Hefeng Huang, (unknown), Dahong Qian	22
10	Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images 2020 ·IEEE Transactions on Medical Imaging ·Jun Wang, (unknown), Yaofeng Wen, Hongbing Lu, Hu Luo, (unknown), Xiaoming Li, Chen Liu, Dahong Qian	184
11	Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease 2019 ·Frontiers in Aging Neuroscience ·Zenghui Cheng, Jiping Zhang, Naying He, Yan Li, Yaofeng Wen, Hongmin Xu, Rongbiao Tang, (unknown), E. Mark Haacke, Fuhua Yan, Dahong Qian	55
12	Pulmonary Nodule Detection in Volumetric Chest CT Scans Using CNNs-Based Nodule-Size-Adaptive Detection and Classification 2019 ·IEEE Access ·Jun Wang, (unknown), Yaofeng Wen, Hongbing Lu, Tianye Niu, (unknown), Dahong Qian	48

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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