Da Ma

1.4k total citations
70 papers, 900 citations indexed

About

Da Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Da Ma has authored 70 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Molecular Biology and 15 papers in Psychiatry and Mental health. Recurrent topics in Da Ma's work include Retinal Imaging and Analysis (14 papers), Dementia and Cognitive Impairment Research (14 papers) and Alzheimer's disease research and treatments (9 papers). Da Ma is often cited by papers focused on Retinal Imaging and Analysis (14 papers), Dementia and Cognitive Impairment Research (14 papers) and Alzheimer's disease research and treatments (9 papers). Da Ma collaborates with scholars based in Canada, United States and China. Da Ma's co-authors include Mirza Faisal Beg, Karteek Popuri, Lei Wang, Xin Ye, Mark F. Lythgoe, Marinko V. Šarunic, Donghuan Lu, Sieun Lee, M. Jorge Cardoso and Sébastien Ourselin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Da Ma

65 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Ma Canada 18 312 165 150 146 125 70 900
Akinori Mitani United States 8 136 0.4× 89 0.5× 37 0.2× 79 0.5× 40 0.3× 14 544
Jitian Guan China 16 197 0.6× 182 1.1× 31 0.2× 49 0.3× 44 0.4× 54 716
Serkan Kırbaş Türkiye 16 133 0.4× 151 0.9× 88 0.6× 219 1.5× 90 0.7× 35 731
Lin Pan China 16 204 0.7× 227 1.4× 41 0.3× 40 0.3× 37 0.3× 97 920
Arman Eshaghi United Kingdom 20 185 0.6× 145 0.9× 43 0.3× 16 0.1× 90 0.7× 57 1.1k
Mojtaba Golzan Australia 13 313 1.0× 200 1.2× 49 0.3× 399 2.7× 23 0.2× 39 742
Xinghu Zhang China 19 76 0.2× 157 1.0× 55 0.4× 49 0.3× 48 0.4× 109 1.2k
Fan Zhu China 9 163 0.5× 125 0.8× 113 0.8× 59 0.4× 46 0.4× 20 536
Yueping Zhou China 23 337 1.1× 305 1.8× 12 0.1× 158 1.1× 41 0.3× 54 1.3k

Countries citing papers authored by Da Ma

Since Specialization
Citations

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

Fields of papers citing papers by Da Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Da Ma. A scholar is included among the top collaborators of Da 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 Da Ma. Da 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, Da, Xinlei Wang, Gadi Wollstein, et al.. (2024). Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography. Acta Neuropathologica Communications. 12(1). 19–19. 8 indexed citations
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Zhong, Jianhua, et al.. (2024). Retroperitoneal neuroglial heterotopia: a case report and literature review. Frontiers in Pediatrics. 12. 1369787–1369787.
5.
Ma, Da, Howard J. Rosen, Kejal Kantarci, et al.. (2024). Differential diagnosis of frontotemporal dementia subtypes with explainable deep learning on structural MRI. Frontiers in Neuroscience. 18. 1331677–1331677. 3 indexed citations
6.
Lopes, Douglas M., Jack A. Wells, Da Ma, et al.. (2024). Glymphatic inhibition exacerbates tau propagation in an Alzheimer’s disease model. Alzheimer s Research & Therapy. 16(1). 71–71. 14 indexed citations
7.
Ma, Da, Sieun Lee, Karteek Popuri, et al.. (2023). Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi‐modal deep learning approach. Alzheimer s & Dementia. 19(S2). 1 indexed citations
8.
Miao, Yusi, Jun Song, Shuibin Ni, et al.. (2023). Polarization-Diversity Optical Coherence Tomography Assessment of Choroidal Nevi. Investigative Ophthalmology & Visual Science. 64(14). 6–6. 4 indexed citations
9.
Lü, Xiaoping, et al.. (2023). Comparison of Antibiotic Resistance Profiles of Salmonella Isolates from Retail Meats in Nanchang, China, in Two Periods. Foodborne Pathogens and Disease. 20(6). 237–243. 2 indexed citations
10.
Ma, Da, et al.. (2022). Multi-view parallel vertebra segmentation and identification on computed tomography (CT) images. Informatics in Medicine Unlocked. 34. 101091–101091. 2 indexed citations
11.
Ma, Da, Vikas Khetan, Parveen Sen, et al.. (2022). Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning. Computers in Biology and Medicine. 143. 105319–105319. 18 indexed citations
12.
Ma, Da, Sieun Lee, Karteek Popuri, et al.. (2022). Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis. Neurobiology of Aging. 121. 139–156. 17 indexed citations
13.
Miao, Yusi, Jun Song, Da Ma, et al.. (2021). Phase-corrected buffer averaging for enhanced OCT angiography using FDML laser. Optics Letters. 46(16). 3833–3833. 12 indexed citations
14.
Ma, Da, Pengxiao Zang, Julia P. Owen, et al.. (2021). Collaborative Diabetic Retinopathy Severity Classification of Optical Coherence Tomography Data through Federated Learning. Investigative Ophthalmology & Visual Science. 62(8). 1029–1029. 8 indexed citations
15.
Ma, Da, Pengxiao Zang, Julia P. Owen, et al.. (2021). Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data. SHILAP Revista de lepidopterología. 1(4). 100069–100069. 67 indexed citations
16.
Ma, Da, et al.. (2021). Early diagnosis of Alzheimer’s disease on ADNI data using novel longitudinal score based on functional principal component analysis. Journal of Medical Imaging. 8(2). 24502–24502. 5 indexed citations
17.
Ma, Da, Donghuan Lu, Morgan Heisler, et al.. (2020). Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.. 493–502. 5 indexed citations
18.
Ma, Da, Xinlei Wang, Sieun Lee, et al.. (2020). Longitudinal assessments of retinal degeneration after excitotoxic injury using an end-to-end pipeline with deep learning-based automatic layer segmentation. Investigative Ophthalmology & Visual Science. 61(9). 1 indexed citations
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Ma, Da, Vikas Khetan, Parveen Sen, et al.. (2020). Differential diagnosis between polypoidal choroidal vasculopathy (PCV) and Age-related macular degeneration (AMD) using Deep Neural Network. Investigative Ophthalmology & Visual Science. 61(7). 2024–2024. 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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