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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaofeng Wen China 8 278 135 82 48 40 12 351
Xianbo Deng China 7 438 1.6× 274 2.0× 72 0.9× 84 1.8× 83 2.1× 16 578
Awais Mansoor United States 11 118 0.4× 70 0.5× 62 0.8× 36 0.8× 58 1.4× 33 305
Yunzhi Huang China 8 150 0.5× 136 1.0× 48 0.6× 17 0.4× 89 2.2× 20 292
Ahmed Alksas United States 10 211 0.8× 73 0.5× 72 0.9× 23 0.5× 67 1.7× 40 330
Daniel Ferraz Brazil 11 450 1.6× 53 0.4× 19 0.2× 40 0.8× 38 0.9× 38 647
Hagar Khalid United Kingdom 12 528 1.9× 47 0.3× 22 0.3× 31 0.6× 41 1.0× 37 688
Fandong Zhang China 10 112 0.4× 119 0.9× 56 0.7× 11 0.2× 94 2.4× 22 253
Tianyang Li China 6 196 0.7× 135 1.0× 33 0.4× 53 1.1× 48 1.2× 16 281
Francesco Prinzi Italy 10 134 0.5× 125 0.9× 19 0.2× 28 0.6× 28 0.7× 14 247
Pan Liu China 8 107 0.4× 58 0.4× 26 0.3× 18 0.4× 44 1.1× 37 227

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

12 of 12 papers shown
1.
Bao, Jiahao, Huazhen Liu, Yang Yang, et al.. (2025). Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery. Frontiers in Bioengineering and Biotechnology. 13. 1580502–1580502.
2.
Yang, Yang, et al.. (2024). Craniomaxillofacial landmarks detection in CT scans with limited labeled data via semi-supervised learning. Heliyon. 10(14). e34583–e34583. 2 indexed citations
3.
Ye, Juan, Jun Wang, Linyan Wang, et al.. (2022). Improving the generalization of glaucoma detection on fundus images via feature alignment between augmented views. Biomedical Optics Express. 13(4). 2018–2018. 5 indexed citations
4.
Chen, Jiafei, Weiyan Sun, Yikai Zhang, et al.. (2022). Three-dimensionally printed navigational template: a promising guiding approach for lung biopsy. Translational Lung Cancer Research. 11(3). 393–403. 7 indexed citations
5.
Chen, Jiamei, Yang Yang, Bo Luo, et al.. (2022). Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer. Human Pathology. 131. 26–37. 9 indexed citations
6.
Wang, Jun, Mengmeng Zhao, Yaofeng Wen, et al.. (2022). Size‐adaptive mediastinal multilesion detection in chest CT images via deep learning and a benchmark dataset. Medical Physics. 49(11). 7222–7236. 1 indexed citations
7.
Wang, Jun, Chen Liu, Lichi Zhang, et al.. (2021). iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. npj Digital Medicine. 4(1). 124–124. 11 indexed citations
8.
Wang, Jun, Yaofeng Wen, Hongbing Lu, et al.. (2021). IMAL‐Net: Interpretable multi‐task attention learning network for invasive lung adenocarcinoma screening in CT images. Medical Physics. 48(12). 7913–7929. 7 indexed citations
9.
Zhang, Jiping, Wenjing Hu, Shuyuan Li, et al.. (2021). Chromosome Classification and Straightening Based on an Interleaved and Multi-Task Network. IEEE Journal of Biomedical and Health Informatics. 25(8). 3240–3251. 22 indexed citations
10.
Wang, Jun, Yaofeng Wen, Hongbing Lu, et al.. (2020). Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images. IEEE Transactions on Medical Imaging. 39(8). 2572–2583. 184 indexed citations
11.
Cheng, Zenghui, Jiping Zhang, Naying He, et al.. (2019). Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease. Frontiers in Aging Neuroscience. 11. 167–167. 55 indexed citations
12.

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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