Heye Zhang

7.1k total citations · 1 hit paper
154 papers, 4.8k citations indexed

About

Heye Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Heye Zhang has authored 154 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Radiology, Nuclear Medicine and Imaging, 59 papers in Cardiology and Cardiovascular Medicine and 46 papers in Biomedical Engineering. Recurrent topics in Heye Zhang's work include Cardiac Imaging and Diagnostics (38 papers), Coronary Interventions and Diagnostics (26 papers) and Advanced MRI Techniques and Applications (21 papers). Heye Zhang is often cited by papers focused on Cardiac Imaging and Diagnostics (38 papers), Coronary Interventions and Diagnostics (26 papers) and Advanced MRI Techniques and Applications (21 papers). Heye Zhang collaborates with scholars based in China, Hong Kong and Canada. Heye Zhang's co-authors include Zhifan Gao, Yuan‐Ting Zhang, Wanqing Wu, Shuo Li, Guang Yang, Sandeep Pirbhulal, Subhas Chandra Mukhopadhyay, Yali Zheng, Xiao-Lin Zhou and Xiaorong Ding and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Heye Zhang

150 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

Unobtrusive Sensing and Wearable Devices for Health Informatics

2014 556 citations Heye Zhang et al. IEEE Transactions on Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heye Zhang China	40	1.8k	1.5k	1.1k	1.1k	658	154	4.8k
Constantinos S. Pattichis Cyprus	43	1.1k 0.6×	1.3k 0.9×	1.4k 1.2×	1.6k 1.5×	356 0.5×	354	6.4k
Konstantina S. Nikita Greece	42	1.5k 0.8×	2.2k 1.5×	785 0.7×	812 0.8×	362 0.6×	338	6.5k
Purang Abolmaesumi Canada	40	1.9k 1.1×	2.4k 1.6×	390 0.3×	1.7k 1.6×	1.1k 1.7×	313	5.6k
Carmen C. Y. Poon Hong Kong	30	440 0.2×	3.1k 2.1×	1.4k 1.2×	554 0.5×	944 1.4×	94	5.0k
Amith Khandakar Qatar	34	3.0k 1.7×	1.0k 0.7×	461 0.4×	801 0.8×	210 0.3×	163	6.2k
Petia Radeva Spain	37	992 0.6×	678 0.5×	367 0.3×	1.9k 1.8×	692 1.1×	270	4.7k
Jean Meunier Canada	32	1.0k 0.6×	1.3k 0.9×	329 0.3×	2.3k 2.1×	278 0.4×	150	3.7k
Yefeng Zheng China	44	2.1k 1.2×	1.2k 0.8×	502 0.4×	3.1k 2.9×	370 0.6×	293	6.8k
Ioannis A. Kakadiaris United States	41	985 0.6×	870 0.6×	637 0.6×	3.6k 3.4×	547 0.8×	266	6.1k
Kayvan Najarian United States	31	811 0.5×	775 0.5×	551 0.5×	894 0.8×	401 0.6×	283	4.3k

Countries citing papers authored by Heye Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Heye Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heye Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Heye Zhang. A scholar is included among the top collaborators of Heye Zhang 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 Heye Zhang. Heye Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

20 of 20 papers shown

Zhou, Zhen, Yifeng Gao, Weiwei Zhang, et al.. (2025). Deep Learning and Radiomics Discrimination of Coronary Chronic Total Occlusion and Subtotal Occlusion using CTA. Academic Radiology. 32(7). 3892–3902.

Zhang, David, et al.. (2024). Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics. Expert Systems with Applications. 257. 125079–125079. 4 indexed citations

Zhang, Heye, et al.. (2024). Semi-supervised domain adaptation incorporating three-way decision for multi-view echocardiographic sequence segmentation. Applied Soft Computing. 155. 111449–111449. 4 indexed citations

Wang, Anbang, Yupeng Wang, Shaomin Chen, et al.. (2024). Quantification of functional hemodynamics in aortic valve disease using cardiac computed tomography angiography. Computers in Biology and Medicine. 177. 108608–108608. 1 indexed citations

Zhang, Heye, et al.. (2024). Main Coronary Flow Calculation With the Assistance of Physiological Side Branch Flow. IEEE Transactions on Biomedical Engineering. 72(2). 747–759. 2 indexed citations

Liang, Hongbin, Qiuxia Zhang, Guojun Chen, et al.. (2023). Diagnostic performance of angiography-derived fractional flow reserve analysis based on bifurcation fractal law for assessing hemodynamic significance of coronary stenosis. European Radiology. 33(10). 6771–6780. 7 indexed citations

Lin, Weiyuan, Zhifan Gao, Hui Liu, & Heye Zhang. (2023). A Deformable Constraint Transport Network for Optimal Aortic Segmentation From CT Images. IEEE Transactions on Medical Imaging. 43(4). 1462–1475. 4 indexed citations

Zhang, Hong-Wei, Zhifan Gao, Dong Zhang, William Kongto Hau, & Heye Zhang. (2022). Progressive Perception Learning for Main Coronary Segmentation in X-Ray Angiography. IEEE Transactions on Medical Imaging. 42(3). 864–879. 43 indexed citations

Zhou, Zhen, Yifeng Gao, Weiwei Zhang, et al.. (2022). Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study. European Radiology. 33(1). 678–689. 9 indexed citations

10.

Zhang, Heye, et al.. (2022). Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction. Patterns. 3(6). 100498–100498. 47 indexed citations

11.

Liu, Xin, Yiting Fan, Shuang Li, et al.. (2021). Deep learning-based automated left ventricular ejection fraction assessment using 2-D echocardiography. American Journal of Physiology-Heart and Circulatory Physiology. 321(2). H390–H399. 41 indexed citations

12.

Zhang, Heye, Jiaqi Chen, Zhifan Gao, et al.. (2021). Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks. Future Generation Computer Systems. 130. 128–139. 23 indexed citations

13.

Wang, Chengjia, Guang Yang, Giorgos Papanastasiou, et al.. (2020). Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. IEEE Transactions on Industrial Informatics. 17(8). 5511–5521. 51 indexed citations

14.

Wang, Chengjia, et al.. (2019). SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Transactions on Industrial Informatics. 16(4). 2667–2676. 89 indexed citations

15.

Wu, Xi, et al.. (2018). Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning. Physics in Medicine and Biology. 64(2). 25005–25005. 46 indexed citations

16.

Li, Min, Kun Zhang, Zhifan Gao, et al.. (2018). Deep Learning intra-image and inter-images features for Co-saliency detection.. British Machine Vision Conference. 291. 16 indexed citations

17.

Gao, Zhifan, Shanhui Sun, Xin Wang, et al.. (2018). Holistic and Deep Feature Pyramids for Saliency Detection.. British Machine Vision Conference. 67. 15 indexed citations

18.

Zhang, Xi, Jing Li, Qiong He, Heye Zhang, & Jianwen Luo. (2018). High-Quality Reconstruction of Plane-Wave Imaging Using Generative Adversarial Network. 1–4. 26 indexed citations

19.

Liu, Xin, Heye Zhang, Dhanjoo N. Ghista, et al.. (2018). Assessment of boundary conditions for CFD simulation in human carotid artery. Biomechanics and Modeling in Mechanobiology. 17(6). 1581–1597. 53 indexed citations

20.

Wang, Linwei, Fady Dawoud, Ken C. L. Wong, et al.. (2011). Mapping the transmural scar and activation for patients with ventricular arrhythmia. Computing in Cardiology. 849–852. 3 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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