Junwei Yang

769 total citations · 1 hit paper
36 papers, 398 citations indexed

About

Junwei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junwei Yang has authored 36 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junwei Yang's work include Medical Imaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (5 papers) and Speech Recognition and Synthesis (3 papers). Junwei Yang is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (5 papers) and Speech Recognition and Synthesis (3 papers). Junwei Yang collaborates with scholars based in China, United Kingdom and United States. Junwei Yang's co-authors include Wei Wang, Píetro Lió, Yifang Qin, Yusheng Zhao, Fang Sun, Xiao Luo, Zhiping Xiao, Yiyang Gu, Ziyue Qiao and Jingyang Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Cancer Research.

In The Last Decade

Junwei Yang

31 papers receiving 384 citations

Hit Papers

A Comprehensive Survey on Deep Graph Representation Learning 2024 2026 2025 2024 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Comprehensive Survey on Deep Graph Representation Learning
    2024 138 citations Wei Ju, Zheng Fang et al. Neural Networks profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junwei Yang China 10 143 79 78 48 43 36 398
Lin Cao China 11 108 0.8× 175 2.2× 64 0.8× 36 0.8× 29 0.7× 58 392
Ali Haider Khan Pakistan 11 152 1.1× 47 0.6× 35 0.4× 129 2.7× 36 0.8× 48 559
Liangmin Wang China 8 73 0.5× 138 1.7× 27 0.3× 76 1.6× 33 0.8× 30 326
Shan Ai China 10 99 0.7× 43 0.5× 49 0.6× 11 0.2× 23 0.5× 20 289
Minghui Zhang China 14 251 1.8× 49 0.6× 54 0.7× 19 0.4× 17 0.4× 59 519
E. Srinivasan India 12 121 0.8× 194 2.5× 183 2.3× 24 0.5× 27 0.6× 48 506
Hongming Yang Netherlands 12 191 1.3× 132 1.7× 230 2.9× 19 0.4× 26 0.6× 23 577
Biao Gong China 4 106 0.7× 289 3.7× 74 0.9× 15 0.3× 31 0.7× 10 504
Soumen Banerjee India 13 93 0.7× 99 1.3× 241 3.1× 24 0.5× 12 0.3× 79 581

Countries citing papers authored by Junwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Yang. A scholar is included among the top collaborators of Junwei Yang 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 Junwei Yang. Junwei Yang 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.
2.
Yang, Junwei, et al.. (2025). Performance of large language models on Thailand’s national medical licensing examination: a cross-sectional study. Journal of Educational Evaluation for Health Professions. 22. 16–16. 1 indexed citations
3.
4.
5.
Qi, Haikun, Junwei Yang, Xiaopeng Zong, et al.. (2024). SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-Parametric MR Imaging. IEEE Transactions on Biomedical Engineering. 72(6). 1811–1824. 2 indexed citations
6.
Ju, Wei, Zheng Fang, Yiyang Gu, et al.. (2024). A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks. 173. 106207–106207. 138 indexed citations breakdown →
7.
8.
Liu, Dandan, et al.. (2023). Pharmacokinetic study on the effect of ligustrazine–tangeretin co‐administration on the pharmacokinetics of ligustrazine and its potential mechanism in rats. Pharmacology Research & Perspectives. 11(2). e01058–e01058. 3 indexed citations
9.
Zhang, Jiadong, Junwei Yang, Yan Hu, et al.. (2023). A generalized dual-domain generative framework with hierarchical consistency for medical image reconstruction and synthesis. SHILAP Revista de lepidopterología. 2(1). 8 indexed citations
10.
Liu, Jianjian, Junwei Yang, Lei Shi, et al.. (2023). Abstract 2650: Pre-clinical efficacy and toxicity profile of LM-24C5: A novel CEACAM5 x 4-1BB bispecific antibody in cancer immunotherapy. Cancer Research. 83(7_Supplement). 2650–2650.
11.
Yang, Junwei, et al.. (2023). Subpixel Deblurring of Anti‐Aliased Raster Clip‐Art. Computer Graphics Forum. 42(2). 61–76. 1 indexed citations
12.
Wang, Chong, Zhiming Cui, Junwei Yang, et al.. (2022). BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Transactions on Medical Imaging. 42(4). 1225–1236. 12 indexed citations
13.
Liu, Feihong, Junwei Yang, Zhiming Cui, et al.. (2022). Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?. Computerized Medical Imaging and Graphics. 103. 102160–102160. 2 indexed citations
14.
Yang, Junwei, Xiaoxin Li, Feihong Liu, et al.. (2022). Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Transactions on Medical Imaging. 42(5). 1363–1373. 9 indexed citations
15.
Yang, Junwei, Thomas Küstner, Peng Hu, Píetro Lió, & Haikun Qi. (2022). End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRI. Frontiers in Cardiovascular Medicine. 9. 880186–880186. 12 indexed citations
16.
Liu, Wenjin, et al.. (2021). Structural and Functional Brain Changes in Hemodialysis Patients with End-Stage Renal Disease: DTI Analysis Results and ALFF Analysis Results. International Journal of Nephrology and Renovascular Disease. Volume 14. 77–86. 15 indexed citations
17.
Zheng, Xiang, et al.. (2016). Identifying the spatial position and properties of traps in GaN HEMTs using current transient spectroscopy. Microelectronics Reliability. 63. 46–51. 28 indexed citations
18.
Yang, Junwei, C. Zhang, Anton Ragni, Mark Gales, & Philip C. Woodland. (2016). System combination with log-linear models. 3. 5675–5679. 5 indexed citations
19.
Yang, Junwei, et al.. (2015). Structured discriminative models using deep neural-network features. 160–166. 3 indexed citations
20.
Yang, Junwei & Wei Wang. (2004). CLUSEQ: efficient and effective sequence clustering. 101–112. 57 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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