Jackie Ma

27 papers receiving 462 citations

Peers

Jackie Ma
Comparison fields: 5 of 95
  • Signal Processing 205
  • Health Informatics 21
  • Computer Vision and Pattern Recognition 249
  • Structural Biology 6
  • Radiology, Nuclear Medicine and Imaging 78
Replace Meilu Zhu with:
Meilu Zhu Hong Kong
Yaping Huang China
Xian Lin China
Yuan‐Yu Tsai Taiwan
Yang Ai China
Pranjal Sahu United States
Pei Dong China
Alireza Norouzi Malaysia
Xinting Gao Singapore
Jackie Ma relative to Meilu Zhu Hong Kong Meilu Zhu's profile →
Citations per field
00.5×2×3×4×5×
Meilu Zhu · 1×
Citations per year

Countries citing papers authored by Jackie Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jackie Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jackie Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jackie Ma Line = papers co-authored together Jackie Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202185
2 201975
3 201958
4 202356
5 202238
6 201924
7 202021
8 202518
9 201515
10 202312
11 202212
12 201811
13 20159
14 20168
15 20236
16 20196
17 20214
18 20223
19 20183
20 20232

About Jackie Ma

Jackie Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Computational Mechanics, having authored 31 papers that have together received 474 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Video Coding and Compression Technologies (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers), Image and Signal Denoising Methods (4 papers), Image and Video Quality Assessment (4 papers), Advanced MRI Techniques and Applications (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Signal Processing (205 citations), Health Informatics (21 citations), Computer Vision and Pattern Recognition (249 citations), Structural Biology (6 citations) and Radiology, Nuclear Medicine and Imaging (78 citations). Jackie Ma has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Wiegand, Detlev Marpe, Heiko Schwarz, Adam Wieckowski, Markus Wenzel, Tung Nguyen, Wojciech Samek, Valeri George, Nils Strodthoff and Kai Zhang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Scientific Reports, Environmental Research Letters, Knowledge-Based Systems and Nature Geoscience.

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.

Explore authors with similar magnitude of impact