Junhai Wen

654 total citations
44 papers, 460 citations indexed

About

Junhai Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junhai Wen has authored 44 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Biomedical Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junhai Wen's work include Medical Imaging Techniques and Applications (35 papers), Advanced X-ray and CT Imaging (19 papers) and Advanced MRI Techniques and Applications (16 papers). Junhai Wen is often cited by papers focused on Medical Imaging Techniques and Applications (35 papers), Advanced X-ray and CT Imaging (19 papers) and Advanced MRI Techniques and Applications (16 papers). Junhai Wen collaborates with scholars based in China, United States and Spain. Junhai Wen's co-authors include Tianfang Li, Jing Wang, Hongbing Lu, Zhengrong Liang, Jiang Hsieh, Zhengrong Liang, Hongbing Lu, Jianhua Yan, Gang Huang and Y. Li and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Junhai Wen

38 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junhai Wen China 9 377 280 127 56 24 44 460
Seung Kwan Kang South Korea 13 520 1.4× 224 0.8× 139 1.1× 141 2.5× 30 1.3× 27 664
Jinseong Jang South Korea 8 346 0.9× 115 0.4× 117 0.9× 18 0.3× 11 0.5× 17 495
Alexandre Bousse United Kingdom 14 578 1.5× 195 0.7× 72 0.6× 183 3.3× 36 1.5× 67 675
Yothin Rakvongthai United States 11 267 0.7× 171 0.6× 61 0.5× 24 0.4× 19 0.8× 40 377
Karim Armanious Germany 10 204 0.5× 86 0.3× 96 0.8× 30 0.5× 5 0.2× 21 359
Fukai Toyofuku Japan 10 148 0.4× 66 0.2× 79 0.6× 39 0.7× 16 0.7× 53 310
Brian F. Hutton Australia 9 439 1.2× 98 0.3× 97 0.8× 47 0.8× 17 0.7× 14 704
Junshen Xu United States 8 264 0.7× 77 0.3× 64 0.5× 39 0.7× 9 0.4× 13 360
Dieter Seghers Switzerland 10 236 0.6× 132 0.5× 130 1.0× 105 1.9× 3 0.1× 30 347
Lucas Fidon United Kingdom 6 216 0.6× 84 0.3× 138 1.1× 41 0.7× 7 0.3× 13 447

Countries citing papers authored by Junhai Wen

Since Specialization
Citations

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

Fields of papers citing papers by Junhai Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhai Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Junhai Wen. A scholar is included among the top collaborators of Junhai 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 Junhai Wen. Junhai Wen 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.
Wang, Yaming, Qingjun Wang, Jing Han, et al.. (2023). The value of convolutional neural networks-based deep learning model in differential diagnosis of space-occupying brain diseases. Frontiers in Neurology. 14. 1107957–1107957. 2 indexed citations
2.
Wen, Junhai, et al.. (2022). Super-resolution acquisition and reconstruction for cone-beam SPECT with low-resolution detector. Computer Methods and Programs in Biomedicine. 217. 106683–106683. 3 indexed citations
3.
Wen, Junhai, et al.. (2022). Super-resolution reconstruction for parallel-beam SPECT based on deep learning and transfer learning: a preliminary simulation study. Annals of Translational Medicine. 10(7). 396–396. 4 indexed citations
4.
5.
6.
Li, Xiu‐Qing, Miaomiao Lu, Qilin Zhang, et al.. (2021). A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device. Radiation Oncology. 16(1). 232–232. 3 indexed citations
7.
Lu, Miaomiao, et al.. (2020). Detecting focal cortical dysplasia lesions from FLAIR-negative images based on cortical thickness. BioMedical Engineering OnLine. 19(1). 13–13. 11 indexed citations
8.
Lu, Miaomiao, et al.. (2020). Enhance the Focal Cortical Dysplasia Lesions in a MR-negative Image. 127–130. 1 indexed citations
9.
Li, Y., et al.. (2020). Application of Binocular Stereo Vision in Radioactive Source Image Reconstruction and Multimodal Imaging Fusion. IEEE Transactions on Nuclear Science. 67(11). 2454–2462. 4 indexed citations
10.
Wen, Junhai, et al.. (2013). Analytical cone-beam SPECT reconstruction algorithm with non-uniform attenuation for general non-circular orbit. Computers in Biology and Medicine. 43(9). 1221–1233. 2 indexed citations
11.
Zhang, Hao, et al.. (2013). Noise reduction for cone-beam SPECT by penalized reweighted least-squares projection restoration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8668. 86685C–86685C. 1 indexed citations
12.
Lu, Yao, et al.. (2012). Super resolution SPECT reconstruction with non-uniform attenuation. Computers in Biology and Medicine. 42(6). 651–656. 9 indexed citations
13.
Wen, Junhai & Lingkai Kong. (2010). A wavelet‐based SPECT reconstruction algorithm for nonuniformly attenuated Radon transform. Medical Physics. 37(9). 4762–4767. 1 indexed citations
14.
Wen, Junhai & Zhengrong Liang. (2010). A SPECT reconstruction method for extending parallel to non-parallel geometries. Physics in Medicine and Biology. 55(6). 1631–1641. 1 indexed citations
15.
Wang, Jing, Hongbing Lu, Junhai Wen, & Zhengrong Liang. (2008). Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography. IEEE Transactions on Biomedical Engineering. 55(3). 1022–1031. 43 indexed citations
16.
Wen, Junhai & Zhengrong Liang. (2006). An inversion formula for the exponential Radon transform in spatial domain with variable focal‐length fan‐beam collimation geometry. Medical Physics. 33(3). 792–798. 4 indexed citations
17.
Li, Tianfang, et al.. (2005). An efficient reconstruction method for nonuniform attenuation compensation in nonparallel beam geometries based on Novikov's explicit inversion formula. IEEE Transactions on Medical Imaging. 24(10). 1357–1368. 6 indexed citations
18.
Wen, Junhai, Hongbing Lu, Wei Zhao, Zigang Wang, & Zhengrong Liang. (2004). A study on truncated cone-beam sampling strategies for 3D mammography. 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). 5030. 3200–3204. 2 indexed citations
19.
Li, Tianfang, Junhai Wen, & Zhengrong Liang. (2003). Compensation for nonstationary detector response in analytical varying focal-length fan-beam SPECT reconstruction. 2002 IEEE Nuclear Science Symposium Conference Record. 3. 1686–1690. 2 indexed citations
20.
Li, Tianfang, Junhai Wen, & Zhengrong Liang. (2003). Analytical compensation for spatially variant detector response in SPECT with varying focal-length fan-beam collimators. IEEE Transactions on Nuclear Science. 50(3). 398–404. 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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