Pei Ma

705 total citations
47 papers, 511 citations indexed

About

Pei Ma is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pei Ma has authored 47 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pei Ma's work include Congenital heart defects research (8 papers), Boron Compounds in Chemistry (7 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). Pei Ma is often cited by papers focused on Congenital heart defects research (8 papers), Boron Compounds in Chemistry (7 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). Pei Ma collaborates with scholars based in China, United States and Chile. Pei Ma's co-authors include James T. Spencer, Xuedian Zhang, Shi Gu, Hui Chen, Michael W. Jenkins, Andrew M. Rollins, Michiko Watanabe, Junying Li, Luyao Wang and Yves T. Wang and has published in prestigious journals such as Optics Express, Journal of Materials Science and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Pei Ma

44 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Ma China 14 152 131 85 81 77 47 511
Peter R. Corridon United Arab Emirates 18 204 1.3× 217 1.7× 89 1.0× 41 0.5× 21 0.3× 60 907
Sang Woong Moon South Korea 17 231 1.5× 156 1.2× 82 1.0× 56 0.7× 118 1.5× 53 850
Zhimin Zhu China 14 116 0.8× 181 1.4× 64 0.8× 203 2.5× 37 0.5× 55 669
Singaravelu Ganesan India 20 218 1.4× 189 1.4× 325 3.8× 133 1.6× 62 0.8× 74 822
Gulay K. Serhatkulu United States 11 114 0.8× 178 1.4× 218 2.6× 69 0.9× 42 0.5× 12 611
Christoffer Abrahamsson Sweden 15 213 1.4× 273 2.1× 164 1.9× 43 0.5× 12 0.2× 30 882
Xuekun Liu China 15 228 1.5× 30 0.2× 31 0.4× 37 0.5× 19 0.2× 37 671
Panagiotis Kassanos United Kingdom 15 81 0.5× 410 3.1× 27 0.3× 67 0.8× 63 0.8× 40 665
Qiwen Peng China 14 124 0.8× 155 1.2× 74 0.9× 106 1.3× 5 0.1× 26 516
Linda H. Kidder United States 14 135 0.9× 153 1.2× 452 5.3× 31 0.4× 18 0.2× 29 835

Countries citing papers authored by Pei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Pei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Ma. A scholar is included among the top collaborators of Pei 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 Pei Ma. Pei 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
1.
Ma, Pei, et al.. (2025). Prototype-augmented mean teacher for robust semi-supervised medical image segmentation. Pattern Recognition. 166. 111722–111722. 1 indexed citations
2.
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Lu, Yun, et al.. (2025). Ultrasound-based deep learning radiomics for multi-stage assisted diagnosis in reducing unnecessary biopsies of BI-RADS 4A lesions. Quantitative Imaging in Medicine and Surgery. 15(3). 2512–2528.
5.
Zhang, Junhua, et al.. (2024). Energy Absorption Properties of Curved Wall Honeycombs Based on Neural Networks. Mechanics of Solids. 59(2). 1108–1121. 1 indexed citations
6.
Chen, Xi, Kewen Chen, Luyao Wang, et al.. (2024). Novel non-invasive method for urine mapping: Deep-learning-enabled SERS spectroscopy for the rapid differential detection of kidney allograft injury. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 315. 124255–124255. 16 indexed citations
7.
Ma, Pei, et al.. (2024). Cluster fusion based cross teaching for semi-supervised medical image segmentation. Neurocomputing. 618. 129147–129147. 4 indexed citations
8.
Wang, Luyao, Pei Ma, Hui Chen, et al.. (2023). Rapid and ultrasensitive detection of acute kidney injury biomarkers CH3L1 and L-FABP using surface-enhanced Raman spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 295. 122604–122604. 8 indexed citations
9.
Lian, Jing, et al.. (2023). HAU-Net: Hybrid CNN-transformer for breast ultrasound image segmentation. Biomedical Signal Processing and Control. 87. 105427–105427. 35 indexed citations
10.
Wang, Luyao, Min Chang, Pei Ma, et al.. (2023). Self-assembly of Au nanocubes for ultrasensitive detection of Alzheimer's disease biomarkers by SERS. Analytical Methods. 15(46). 6385–6393. 7 indexed citations
11.
Zhang, Qian & Pei Ma. (2023). Classification of pulmonary arterial pressure using photoplethysmography and bi-directional LSTM. Biomedical Signal Processing and Control. 86. 105071–105071. 3 indexed citations
12.
Chen, Hui, et al.. (2020). Intracellular Uptake of and Sensing with SERS-Active Hybrid Exosomes: Insight Into A Role of Metal Nanoparticles. Nanomedicine. 15(9). 913–926. 18 indexed citations
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14.
Zhang, Zheng, Pei Ma, Junying Li, et al.. (2019). Colorimetric and SERS dual-mode detection of lead Ions based on Au-Ag core-shell nanospheres: featuring quick screening with ultra-high sensitivity. Optics Express. 27(20). 29248–29248. 19 indexed citations
15.
Chen, Feng, Lulu Ma, Jiangang Ren, et al.. (2018). Surface Modification of Coal-Based Coke Powder with Pitch Powder for Lithium Ion Batteries. International Journal of Electrochemical Science. 13(3). 2206–2218. 1 indexed citations
16.
Ford, Stephanie, Yves T. Wang, Pei Ma, et al.. (2017). Increased regurgitant flow causes endocardial cushion defects in an avian embryonic model of congenital heart disease. Congenital Heart Disease. 12(3). 322–331. 24 indexed citations
17.
Ma, Pei, Dennis Chan, Shi Gu, et al.. (2016). Volumetric optical mapping in early embryonic hearts using light-sheet microscopy. Biomedical Optics Express. 7(12). 5120–5120. 8 indexed citations
18.
Gu, Shi, Yves T. Wang, Pei Ma, et al.. (2015). Mapping conduction velocity of early embryonic hearts with a robust fitting algorithm. Biomedical Optics Express. 6(6). 2138–2138. 11 indexed citations
19.
Wang, Yves T., Shi Gu, Pei Ma, et al.. (2014). Optical stimulation enables paced electrophysiological studies in embryonic hearts. Biomedical Optics Express. 5(4). 1000–1000. 19 indexed citations
20.
Karunamuni, Ganga, Shi Gu, Matthew R. Ford, et al.. (2014). Capturing structure and function in an embryonic heart with biophotonic tools. Frontiers in Physiology. 5. 351–351. 20 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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