Jun Lyu

686 total citations
27 papers, 281 citations indexed

About

Jun Lyu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jun Lyu has authored 27 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Jun Lyu's work include Advanced Image Processing Techniques (8 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Jun Lyu is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Jun Lyu collaborates with scholars based in China, Hong Kong and United States. Jun Lyu's co-authors include Chengyan Wang, Qing Cai, David Zhang, Weibo Chen, Qi Dou, Jing Qin, Jian Guo, Xuan Wang, Jindong Zhao and Jindong Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Jun Lyu

21 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Lyu China 9 159 83 60 41 33 27 281
Daniel Madroñal Spain 8 44 0.3× 71 0.9× 54 0.9× 24 0.6× 35 1.1× 21 196
Teresa E. Alarcón Mexico 8 184 1.2× 91 1.1× 36 0.6× 40 1.0× 30 0.9× 19 283
Raquel Lazcano Spain 8 42 0.3× 71 0.9× 53 0.9× 25 0.6× 35 1.1× 18 191
Ziyang Wang United Kingdom 9 129 0.8× 34 0.4× 216 3.6× 31 0.8× 34 1.0× 20 391
Praful Hambarde India 10 332 2.1× 120 1.4× 38 0.6× 28 0.7× 33 1.0× 14 478
Guowu Yuan China 9 127 0.8× 51 0.6× 36 0.6× 33 0.8× 20 0.6× 58 268
Fares Bougourzi France 11 140 0.9× 35 0.4× 187 3.1× 155 3.8× 49 1.5× 27 429
Hezheng Lin China 5 95 0.6× 23 0.3× 40 0.7× 64 1.6× 17 0.5× 8 202

Countries citing papers authored by Jun Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Lyu. A scholar is included among the top collaborators of Jun Lyu 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 Jun Lyu. Jun Lyu 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.
Lyu, Jun, et al.. (2025). Dual-MFNet: AI-Driven Dual-Scale Multimodal Fusion With State Space Networks for Personalized MRI Synthesis. IEEE Journal of Biomedical and Health Informatics. 30(1). 732–745.
2.
Li, Guozhi, et al.. (2025). Research on a machine vision-based electro-killing pheromone-baited intelligent agricultural pest monitoring method. Frontiers in Plant Science. 16. 1521594–1521594.
3.
Wang, Zi, Qin Chen, Jun Lyu, et al.. (2025). A multi-modality, multi-view k-space dataset boosting universal machine learning for cardiac MRI reconstruction. Journal of Cardiovascular Magnetic Resonance. 27. 101313–101313. 1 indexed citations
4.
Wang, Kang, et al.. (2025). IM-Diff: Implicit Multi-Contrast Diffusion Model for Arbitrary Scale MRI Super-Resolution. IEEE Journal of Biomedical and Health Informatics. 29(6). 4200–4212. 1 indexed citations
5.
Lyu, Jun, et al.. (2024). Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare. Information Fusion. 107. 102342–102342. 6 indexed citations
6.
Zhang, Fan, Huiying Liu, Jinjiang Wang, et al.. (2024). Cross co-teaching for semi-supervised medical image segmentation. Pattern Recognition. 152. 110426–110426. 10 indexed citations
7.
Zhang, He, Jinwei Xu, Jun Lyu, et al.. (2024). A preliminary investigation on using multi-task learning to predict change performance in code reviews. Empirical Software Engineering. 29(6).
8.
Feng, Yidan, Sen Deng, Jun Lyu, et al.. (2024). Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning. IEEE Transactions on Medical Imaging. 44(1). 373–383. 3 indexed citations
9.
Cai, Qing, Mu Li, Dongwei Ren, et al.. (2024). Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 873–881. 4 indexed citations
10.
Lyu, Jun, et al.. (2024). Application and prospect of machine learning techniques in cost estimation of building projects. Engineering Construction & Architectural Management. 32(12). 8445–8471.
11.
Wang, Kang, et al.. (2024). Dual-space high-frequency learning for transformer-based MRI super-resolution. Computer Methods and Programs in Biomedicine. 250. 108165–108165. 4 indexed citations
12.
Lyu, Jun, Shuo Wang, Yapeng Tian, et al.. (2024). STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. Medical Image Analysis. 94. 103142–103142.
13.
Lyu, Jun, Bin Sui, Chengyan Wang, Qi Dou, & Jing Qin. (2023). Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Systems with Applications. 232. 120836–120836. 13 indexed citations
14.
Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12004–12014. 18 indexed citations
15.
Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Analysis. 85. 102760–102760. 27 indexed citations
16.
Lyu, Jun, Yapeng Tian, Qing Cai, Chengyan Wang, & Jing Qin. (2023). Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction. Computers in Biology and Medicine. 165. 107330–107330. 9 indexed citations
17.
Lyu, Jun, Yan Li, Fuhua Yan, et al.. (2023). Multi-channel GAN–based calibration-free diffusion-weighted liver imaging with simultaneous coil sensitivity estimation and reconstruction. Frontiers in Oncology. 13. 1095637–1095637. 1 indexed citations
18.
Wang, Chengyan, et al.. (2022). Swin transformer-based GAN for multi-modal medical image translation. Frontiers in Oncology. 12. 942511–942511. 39 indexed citations
19.
Li, Yatao, Leiying He, Jiangming Jia, et al.. (2022). High-efficiency tea shoot detection method via a compressed deep learning model. International journal of agricultural and biological engineering. 15(3). 159–166. 20 indexed citations
20.
Xie, Changsheng, et al.. (2016). Preparation and Characterization of Nanoparticles of Amorphous Cefmenoxime Hydrochloride. SHILAP Revista de lepidopterología. 1 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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