YingLiang Ma

1.7k total citations
79 papers, 1.1k citations indexed

About

YingLiang Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, YingLiang Ma has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Computer Vision and Pattern Recognition and 21 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in YingLiang Ma's work include Advanced MRI Techniques and Applications (23 papers), Medical Image Segmentation Techniques (15 papers) and Medical Imaging Techniques and Applications (14 papers). YingLiang Ma is often cited by papers focused on Advanced MRI Techniques and Applications (23 papers), Medical Image Segmentation Techniques (15 papers) and Medical Imaging Techniques and Applications (14 papers). YingLiang Ma collaborates with scholars based in United Kingdom, China and France. YingLiang Ma's co-authors include Kawal Rhode, W.T. Hewitt, Reza Razavi, Frank Pollick, Christopher A. Rinaldi, Helena Paterson, Andrew P. King, Graeme Penney, R. James Housden and Gang Gao and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

YingLiang Ma

75 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
YingLiang Ma United Kingdom 17 389 316 265 253 130 79 1.1k
Ole Jakob Elle Norway 20 204 0.5× 187 0.6× 346 1.3× 527 2.1× 426 3.3× 96 1.2k
Reza A. Zoroofi Iran 24 416 1.1× 36 0.1× 717 2.7× 353 1.4× 148 1.1× 93 1.5k
Bogdan J. Matuszewski United Kingdom 15 414 1.1× 103 0.3× 661 2.5× 130 0.5× 19 0.1× 74 1.3k
C. Monserrat Spain 21 186 0.5× 26 0.1× 315 1.2× 433 1.7× 208 1.6× 71 1.3k
Didier Wolf France 14 305 0.8× 48 0.2× 297 1.1× 126 0.5× 55 0.4× 54 800
Mitsunori Tada Japan 18 151 0.4× 44 0.1× 147 0.6× 433 1.7× 279 2.1× 128 1.2k
Luis Serra Singapore 17 94 0.2× 146 0.5× 359 1.4× 324 1.3× 407 3.1× 42 1.0k
Roy Eagleson Canada 17 104 0.3× 47 0.1× 351 1.3× 375 1.5× 361 2.8× 121 1.1k
Warren J. Manning United States 18 545 1.4× 409 1.3× 43 0.2× 77 0.3× 63 0.5× 51 1.9k
Kanako Harada Japan 22 137 0.4× 166 0.5× 192 0.7× 837 3.3× 605 4.7× 129 1.5k

Countries citing papers authored by YingLiang Ma

Since Specialization
Citations

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

Fields of papers citing papers by YingLiang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of YingLiang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of YingLiang Ma. A scholar is included among the top collaborators of YingLiang Ma 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 YingLiang Ma. YingLiang Ma 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
2.
Ali, Sikandar, et al.. (2025). Energy optimization and plant comfort management in smart greenhouses using the artificial bee colony algorithm. Scientific Reports. 15(1). 1752–1752. 9 indexed citations
3.
Mehta, Vishal, YingLiang Ma, Nadeev Wijesuriya, et al.. (2024). Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning models. Heart Rhythm. 21(6). 919–928. 4 indexed citations
4.
Chang, Cuihua, YingLiang Ma, Yanjun Yang, et al.. (2024). Strategies to Improve Hydrolysis Efficiency of Fish Skin Collagen: Study on ACE Inhibitory Activity and Fibroblast Proliferation Activity. Foods. 13(23). 3869–3869. 3 indexed citations
6.
Ma, YingLiang, et al.. (2021). Real-time registration of 3D echo to x-ray fluoroscopy based on cascading classifiers and image registration. Physics in Medicine and Biology. 66(5). 55019–55019. 3 indexed citations
7.
Nguyen, Anh, Dennis Kundrat, Giulio Dagnino, et al.. (2020). End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention. Pure (Coventry University). 9967–9973. 15 indexed citations
8.
Schulze, Walther H. W., Zhong Chen, Jatin Relan, et al.. (2016). ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone. Medical & Biological Engineering & Computing. 55(6). 979–990. 8 indexed citations
9.
Yu, Yi, et al.. (2015). Calcitriol does not significantly enhance the efficacy of radiation of human cervical tumors in mice.. PubMed. 36(4). 452–6. 4 indexed citations
10.
Arujuna, Aruna, R. James Housden, YingLiang Ma, et al.. (2014). Novel System for Real-Time Integration of 3-D Echocardiography and Fluoroscopy for Image-Guided Cardiac Interventions: Preclinical Validation and Clinical Feasibility Evaluation. IEEE Journal of Translational Engineering in Health and Medicine. 2. 1–10. 16 indexed citations
11.
King, Andrew P., R. James Housden, YingLiang Ma, et al.. (2014). A statistical method for retrospective cardiac and respiratory motion gating of interventional cardiac x-ray images. Medical Physics. 41(7). 71901–71901. 12 indexed citations
12.
Chen, Zhong, Jatin Relan, Walther H. W. Schulze, et al.. (2013). Simultaneous non-contact mapping fused with CMR derived grey zone to explore the relationship with ventricular tachycardia substrate in ischaemic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 15. P64–P64. 1 indexed citations
13.
Housden, R. James, et al.. (2013). Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions. Research Portal (King's College London). 6361. 25–28. 8 indexed citations
15.
Ma, YingLiang, Andrew P. King, Geert H. M. Gijsbers, et al.. (2011). Clinical Evaluation of Respiratory Motion Compensation for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures. IEEE Transactions on Biomedical Engineering. 59(1). 122–131. 25 indexed citations
16.
Ma, YingLiang, Simon Duckett, Phani Chinchapatnam, et al.. (2010). MRI to X-ray fluoroscopy overlay for guidance of cardiac resynchronization therapy procedures. UEA Digital Repository (University of East Anglia). 229–232. 2 indexed citations
18.
Ma, YingLiang, et al.. (2010). Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking. Lecture notes in computer science. 13(Pt 1). 391–399. 28 indexed citations
19.
Ma, YingLiang, et al.. (2004). Toward A Biologically-Inspired Representation of Human Affect. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
20.
Ma, YingLiang & W.T. Hewitt. (2003). Point inversion and projection for NURBS curve: control polygon approach. UEA Digital Repository (University of East Anglia). 113–120. 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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