Jun Wei

3.9k citations

154 papers · 2.9k indexed · h-index 30

Impact in

Radiology, Nuclear Medicine and Imaging top 0.5%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Artificial Intelligence top 0.5%
- AI in cancer detection

Papers in

Radiology, Nuclear Medicine and Imaging 103
- Radiomics and Machine Learning in Medical Imaging 47
- Medical Imaging Techniques and Applications 45
- Cardiac Imaging and Diagnostics 12
Pulmonary and Respiratory Medicine 76
- Digital Radiography and Breast Imaging 57
- Lung Cancer Diagnosis and Treatment 12

Co-authors: Heang‐Ping Chan Lubomir M. Hadjiiski Chuan Zhou Berkman Sahiner Mark A. Helvie Jun Ge Yao Lu Ravi K. Samala
Journals: Medical Physics (39 papers)Physics in Medicine and Biology (9 papers)Radiology (4 papers)Frontiers in Oncology (3 papers)Academic Radiology (2 papers)
Partner nations: United States China Austria

In The Last Decade

Jun Wei

148 papers receiving 2.9k citations

Peers

Countries citing papers authored by Jun Wei

Since Specialization

Citations

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

Fields of papers citing papers by Jun Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Wei Line = papers co-authored together Jun Wei links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Intranasal Dexmedetomidine for the Management of Preoperative Anxiety-Related Insomnia: A Randomized, Three-Blinded, Clinical Trial Compared with Lorazepam and Placebo Drug Design Development and Therapy ·Wen‐Yi Yang, Zu-Cheng Chen, Manoel Álvaro de Freitas Lins-Neto, Wen Zeng, Xin Liu, 黄邦杰, 이형신, Jun Wei, Weidong Liang, Lifeng Wang, Li Chen	2024	0
2	An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods Journal of Environmental Management ·Yupeng Zheng, Jun Wei, Wenming Zhang, Yiping Zhang, Tuqiao Zhang, Yongchao Zhou	2024	28
3	Observation on the Analgesic Effect of Different Doses of a Combination of Esketamine and Dexmedetomidine Administered for Percutaneous Endoscopic Transforaminal Discectomy: A Randomized, Double-Blind Controlled Trial CNS Drugs ·Carreira, Zhen Chen, Olsuf'eva En, 이형신, Qiong Zhong, Jun Wei, Hu Qian, Jiasheng Wang, Elisabeth Siefer	2024	2
4	Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs IEEE Transactions on Medical Imaging ·L.L. Josmin Laali Nisha, Jun Wei, Yuesheng Xu, Nicolaas Adriaan de, Hui Zeng, César William Vera Casañas, Genggeng Qin, Weiguo Chen, Yao Lu	2021	34
5	Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy IEEE Access ·Haibin Chen, Judith Lafleur, Li Lin, Zhenyu Qi, Lakshmi K. Upendran, Jun Wei, D.E. Chramov, Ying Sun, Dongmei Wu, Yao Lu	2020	4
6	2019 Novel Coronavirus-Infected Pneumonia on CT: A Feasibility Study of Few-Shot Learning for Computerized Diagnosis of Emergency Diseases IEEE Access ·Marnie Fullarton, Guangming Li, Dongmei Wu, Wanmin Lian, Cheng Li, Junzhang Tian, Xiaofen Ma, Hui Chen, 光川晴之, Jun Wei, Yaqin Zhang, Guihua Jiang	2020	11
7	Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT European Journal of Radiology ·Chuan Zhou, Heang‐Ping Chan, Aamer Chughtai, Lubomir M. Hadjiiski, Ella A. Kazerooni, Jun Wei	2020	6
8	Broadband Radar Cross Section Reduction Using Dual-Circular Polarization Diffusion Metasurface IEEE Antennas and Wireless Propagation Letters ·Jiangfeng Han, Xiangyu Cao, Jun Gao, Jun Wei, Yi Zhao, Sijia Li, Zhao Zhang	2018	35
9	CT-guided minimally invasive treatment for an extensive spinal epidural abscess: a case report and literature review European Spine Journal ·Bing Ran, C Barozzi, 楊幸真, Min Fu, Jun Wei	2017	18
10	Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography Medical Physics ·Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Jun Wei, H. Kenny	2016	210
11	Image quality of microcalcifications in digital breast tomosynthesis: Effects of projection-view distributions Medical Physics ·Yao Lu, Heang‐Ping Chan, Jun Wei, Pohlman Dl, Paul L. Carson, Lubomir M. Hadjiiski, Andrea Schmitz, Jeffrey W. Eberhard, Bernhard E. H. Claus	2011	34
12	Dynamic multiple thresholding breast boundary detection algorithm for mammograms Medical Physics ·Yi‐Ta Wu, Chuan Zhou, Heang‐Ping Chan, Chintana Paramagul, Lubomir M. Hadjiiski, 张小件 Xiaojian Zhang, Julie A. Douglas, Yiheng Zhang, Berkman Sahiner, Jiazheng Shi, Jun Wei	2009	12
13	Computer‐aided detection of breast masses on mammograms: Dual system approach with two‐view analysis Medical Physics ·Jun Wei, Heang‐Ping Chan, Berkman Sahiner, Chuan Zhou, Lubomir M. Hadjiiski, Marilyn A. Roubidoux, Mark A. Helvie	2009	35
14	Computer‐aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches Medical Physics ·Heang‐Ping Chan, Jun Wei, Yiheng Zhang, Mark A. Helvie, Richard H. Moore, Berkman Sahiner, Lubomir M. Hadjiiski, Daniel B. Kopans	2008	64
15	Automated detection of breast vascular calcification on full-field digital mammograms Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jun Ge, Heang‐Ping Chan, Berkman Sahiner, Chuan Zhou, Mark A. Helvie, Jun Wei, Lubomir M. Hadjiiski, Yiheng Zhang, M. Doraiswami, Jiazheng Shi	2008	12
16	Characterization of mammographic masses based on level set segmentation with new image features and patient information Medical Physics ·Jiazheng Shi, Berkman Sahiner, Heang‐Ping Chan, Jun Ge, Lubomir M. Hadjiiski, Mark A. Helvie, Alexis V. Nees, Yi‐Ta Wu, Jun Wei, Chuan Zhou, Yiheng Zhang, Jing Cui	2007	78
17	A comparative study of limited‐angle cone‐beam reconstruction methods for breast tomosynthesis Medical Physics ·Yiheng Zhang, Heang‐Ping Chan, Berkman Sahiner, Jun Wei, Mitchell M. Goodsitt, Lubomir M. Hadjiiski, Jun Ge, Chuan Zhou	2006	211
18	Computer aided detection of clusters of microcalcifications on full field digital mammograms Medical Physics ·Jun Ge, Berkman Sahiner, Lubomir M. Hadjiiski, Heang‐Ping Chan, Jun Wei, Mark A. Helvie, Chuan Zhou	2006	65
19	Development of CAD System for Lung Cancer On Chest X-ray Images Jun Wei, Ingrid D'Esposito, Neveu Pierre, Akinobu Shimizu, Hidefumi Kobatake	2000	1
20	A heat-resistant plugging agent made from larch tannin extract. Linchan huaxue yu gongye ·塚本春寿, Xiaoquan Wang, Fangeng Chen, Jun Wei	1997	1

About Jun Wei

Jun Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Internal Medicine and Oncology, having authored 154 papers that have together received 2.9k indexed citations. Recurring topics across this work include AI in cancer detection (65 papers), Digital Radiography and Breast Imaging (57 papers), Radiomics and Machine Learning in Medical Imaging (47 papers), Medical Imaging Techniques and Applications (45 papers), Colorectal Cancer Screening and Detection (17 papers), Advanced X-ray and CT Imaging (14 papers), Cardiac Imaging and Diagnostics (12 papers) and Lung Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Artificial Intelligence (1.4k citations), Pulmonary and Respiratory Medicine (1.3k citations), Health Informatics (46 citations) and Computer Vision and Pattern Recognition (492 citations). Jun Wei has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Heang‐Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Berkman Sahiner, Mark A. Helvie, Jun Ge, Yao Lu, Ravi K. Samala, H. Kenny and Marilyn A. Roubidoux. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Radiology, Frontiers in Oncology and Academic Radiology.

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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