Gengyu Ma

46 total papers · 484 total citations
23 papers, 254 citations indexed

About

Gengyu Ma is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oral Surgery. According to data from OpenAlex, Gengyu Ma has authored 23 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oral Surgery. Recurrent topics in Gengyu Ma's work include Medical Image Segmentation Techniques (7 papers), Dental Radiography and Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Gengyu Ma is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Dental Radiography and Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Gengyu Ma collaborates with scholars based in China, United States and South Korea. Gengyu Ma's co-authors include Marc Nantel, D. Umstadter, S. Gu, C. Y. Côté, Yuru Pei, Hongbin Zha, Tianmin Xu, С. А. Пикуз, A. Maksimchuk and I. Yu. Skobelev and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Medical Imaging and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Gengyu Ma

20 papers receiving 244 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gengyu Ma 125 83 50 47 45 23 254
E. A. Crawford 56 0.4× 43 0.5× 5 0.1× 6 0.1× 176 3.9× 25 326
U. Straumann 48 0.4× 47 0.6× 2 0.0× 21 0.4× 193 4.3× 25 330
Frank Ong 85 0.7× 9 0.1× 3 0.1× 48 1.0× 7 0.2× 28 328
E. Fitchard 200 1.6× 39 0.5× 17 0.4× 23 0.5× 15 324
E. V. Parkevich 119 1.0× 74 0.9× 24 0.5× 38 0.8× 44 292
J. M. Dias 142 1.1× 106 1.3× 12 0.3× 161 3.6× 25 246
K. Wilhelmsen 27 0.2× 36 0.4× 25 0.5× 84 1.9× 26 158
S. Langer 148 1.2× 174 2.1× 12 0.3× 198 4.4× 19 324
V. Zoiţa 50 0.4× 22 0.3× 7 0.1× 121 2.7× 34 219
C. A. Sullivan 139 1.1× 79 1.0× 6 0.1× 102 2.3× 15 260

Countries citing papers authored by Gengyu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Gengyu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengyu Ma

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

All Works

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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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