Guang Yang

20.4k citations

449 papers · 11.3k indexed · 4 hit papers · h-index 55

Impact in

Health Informatics top 0.2%
Radiology, Nuclear Medicine and Imaging top 0.1%
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics

Papers in

Health Informatics 10
Radiology, Nuclear Medicine and Imaging 169
- Advanced MRI Techniques and Applications 68
- Medical Imaging Techniques and Applications 48
- Cardiac Imaging and Diagnostics 43
- Radiomics and Machine Learning in Medical Imaging 36

Co-authors: David Firmin Costantino Iadecola Jun Xia Raad Mohiaddin Qinghao Ye Philip J. Kilner Jennifer Keegan Xujiong Ye
Journals: IEEE Transactions on Medical Imaging (16 papers)Journal of Magnetic Resonance Imaging (15 papers)Computers in Biology and Medicine (13 papers)Medical Image Analysis (12 papers)IEEE Journal of Biomedical and Health Informatics (8 papers)
Partner nations: United Kingdom China United States

In The Last Decade

Guang Yang

405 papers receiving 11.0k citations

Hit Papers

align trajectories log scale

From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare 2025 · 19 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Medical Image Analysis
2021 Information Fusion
2020 IEEE Access
2017 IEEE Transactions on Medical Imaging

Peers

Countries citing papers authored by Guang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Guang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guang Yang, 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 Guang Yang Line = papers co-authored together Guang Yang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Accelerating cardiac diffusion tensor imaging with deep learning-based tensor de-noising and breath hold reduction. A step towards improved efficiency and clinical feasibility Journal of Cardiovascular Magnetic Resonance ·Denton J. Snider, Andrew D. Scott, Zohya Khalique, 谢春灼, K. Koshikizawa, Ranil de Silva, Dudley J. Pennell, Pedro Ferreira, Guang Yang, Daniel Rueckert, Sònia Nielles‐Vallespin	2025	0
2	Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI IEEE Transactions on Biomedical Engineering ·Zi Wang, Min Xiao, 佐藤憲明, Chengyan Wang, د. عبدالجبار احمد عبدالله, Yi Li, 董毅之, Shufu Chang, Shaileyee Das, JACOB BARTOSIAK, Jianjun Zhou, Congbo Cai, He Wang, Dariusz Piatek, Di Guo, Guang Yang, Xiaobo Qu	2025	2
3	Microglia-orchestrated neuroinflammation and synaptic remodeling: roles of pro-inflammatory cytokines and receptors in neurodegeneration Frontiers in Cellular Neuroscience ·Guang Yang, Xiaolu Xu, Olga Yaneth Gordillo Gómez, Xingyu Wang, Stefano Martini, Ying Xu	2025	0
4	The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia Frontiers in Public Health ·Ida Conboy, Yiyi Shi, Xiaolong Liu, 刘立俭, Muhamad Herman Gozali Dede Herman, Natsagdorj Ariunbold, Guang Yang, Judith Olmstead, Yang Song, Gang Wang, Yury Rhander Ferreira Gonçalves, G.E. Sacks	2025	0
5	Learning with noisy labels via Mamba and entropy KNN framework Applied Soft Computing ·Ningwei Wang, Weiqiang Jin, Alex Oliszewski, Haixia Bi, Guang Yang	2024	1
6	Adaptive dynamic inference for few-shot left atrium segmentation Medical Image Analysis ·Л.Г. Свитич, Imene Bouhlel, أحمد تيتو رشدي, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang	2024	3
7	Ferritinophagy: Molecular mechanisms and role in disease Pathology - Research and Practice ·Qi Zhu, Sunita Poriya, Zhengguo Chen, Vladimír Sermek, Moncompu S. Ramachandran, Cong Zhang, Haoyuan Deng, Shaopeng Wang, Guang Yang	2024	12
8	A method for miRNA diffusion association prediction using machine learning decoding of multi-level heterogeneous graph Transformer encoded representations Scientific Reports ·Estelle M Fulp, Nageswara Rao Kudithi, Guang Yang, A. Bickel, Yosefenny Samosir, Xiaolei Zhu, Yongmei Wang	2024	1
9	PharmaBench: Enhancing ADMET benchmarks with large language models Scientific Data ·Zhangming Niu, Xianglu Xiao, Elodie Chazot, Литовкина Маргарита Ивановна, Yinghui Jiang, Ευστράτιος Ντάλαρης, 安川寿之輔, Maricela Iles, Sam Cowger, Natalia Vasylievna Brukhantseva, Guang Yang, Hongming Chen	2024	16
10	SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images International Journal of Imaging Systems and Technology ·Elizabeth Angelina Maharani Chandra, Yang Li, Mingfeng Jiang, Shuchao Wang, İsmail Erbay, Simon Walsh, Guang Yang	2024	3
11	Enhanced predicting genu valgum through integrated feature extraction: Utilizing ChatGPT with body landmarks Biomedical Signal Processing and Control ·Deyu Meng, Desidi Narasimha Reddy, 慎太郎藤井, Laura op de Beke, Yingzhong Chen, Guang Yang, Ziheng Wang	2024	1
12	An efficiency function model of segmented gamma scanning for measuring radioactive waste drum Applied Radiation and Isotopes ·Steenhaut Sarah, Xianguo Tuo, 静宜裴, Guang Yang, Yuhao Li, Rui Shi, حكمت عادل عزيز اللامي	2023	0
13	Large-Kernel Attention for 3D Medical Image Segmentation Cognitive Computation ·Franka Kos, Nan Yang, Javier Del Ser, Guang Yang	2023	19
14	Behavioral and emotional problems and related risk factors of primary school children aged 6–11 in Guangdong, China Asia-Pacific Psychiatry ·Z Y Wang, Juan Pulido Secundino, 辰男金井, A L, 刘长敏, 晋平工藤, Meirat Omarov, Viviane Krzonkalla, Paul SH Wang, Yu Huang, Wen Wang, Guang Yang, Ezekoye Benjamin, Yu Dai, A P Duduyemi	2023	1
15	Novel radionuclides identification method based on Hilbert–Huang Transform and Convolutional Neural Network with gamma-ray pulse signal Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ·Wei Zhao, Rui Shi, Xianguo Tuo, 康一真貝, Guang Yang, Bo Wang, Mingzhe Liu	2023	6
16	Climate warming extends the effective growth period of winter wheat and increases grain protein content Agricultural and Forest Meteorology ·Madhumithra Subramanian Karthikesh, Ruixing Hou, Guang Yang, Zhu Ouyang	2023	12
17	RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism Information Sciences ·Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin‐Teng Lin	2023	27
18	A practical approach towards accurate dense 3D depth recovery for robotic laparoscopic surgery Computer Aided Surgery ·Danail Stoyanov, Ara Darzi, Guang Yang	2005	12
19	Echo-planar magnetic resonance myocardial perfusion imaging: Parametric map analysis and comparison with thallium SPECT Journal of Magnetic Resonance Imaging ·Jonathan Panting, Peter Gatehouse, Guang Yang, Michael Jerosch‐Herold, Norbert Wilke, David Firmin, Dudley J. Pennell	2001	85
20	Echo‐planar magnetic resonance myocardial perfusion imaging: Parametric map analysis and comparison with thallium SPECT Journal of Magnetic Resonance Imaging ·Jonathan Panting, Peter Gatehouse, Guang Yang, Michael Jerosch‐Herold, Norbert Wilke, David Firmin, Dudley J. Pennell	2001	5

About Guang Yang

Guang Yang is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology and Cardiology and Cardiovascular Medicine, having authored 449 papers that have together received 11.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (68 papers), Medical Imaging Techniques and Applications (48 papers), Cardiac Imaging and Diagnostics (43 papers), Radiomics and Machine Learning in Medical Imaging (36 papers), Medical Image Segmentation Techniques (35 papers), Advanced X-ray and CT Imaging (29 papers), Advanced Neural Network Applications (27 papers) and AI in cancer detection (22 papers). The work is most often cited by research in Health Informatics (341 citations), Radiology, Nuclear Medicine and Imaging (4.7k citations), Neurology (1.3k citations), Computer Vision and Pattern Recognition (2.5k citations) and Structural Biology (82 citations). Guang Yang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include David Firmin, Costantino Iadecola, Jun Xia, Raad Mohiaddin, Qinghao Ye, Philip J. Kilner, Jennifer Keegan, Xujiong Ye, Ara Darzi and Franklyn A. Howe. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Magnetic Resonance Imaging, Computers in Biology and Medicine, Medical Image Analysis and IEEE Journal of Biomedical and Health Informatics.

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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