Longyu Ma
- Signal Processing top 1%
- Biometric Identification and Security 5
- Safety Research top 5%
- Information Systems top 2%
-
- DNA and Biological Computing 6
-
- Error Correcting Code Techniques 6
- Cooperative Communication and Network Coding 3
-
- CCD and CMOS Imaging Sensors 3
- Advanced Wireless Communication Techniques 3
- Advanced Memory and Neural Computing 2
-
- Cellular Automata and Applications 3
- Co-authors
- Yunlong WangTieniu TanDavid ZhangChiu‐Wing ShamJing SunSymeon ChatzinotasThang X. VuArsham Mostaani
- Journals
- IEEE Access (2 papers)IEEE Wireless Communications Letters (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- New ZealandChinaLuxembourg
In The Last Decade
Longyu Ma
21 papers receiving 634 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Signal Processing 622
- Computer Vision and Pattern Recognition 330
- Safety Research 119
- Information Systems 304
- Genetics 87
Countries citing papers authored by Longyu Ma
This map shows the geographic impact of Longyu 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 Longyu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longyu Ma more than expected).
Fields of papers citing papers by Longyu Ma
This network shows the impact of papers produced by Longyu 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 Longyu Ma. The network helps show where Longyu Ma may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Longyu Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 3 | |
| 20 | Efficient Iris Recognition by Characterizing Key Local Variationsbreakdown → | 2004 | 637 |
About Longyu Ma
Longyu Ma is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 25 papers that have together received 715 indexed citations. Recurring topics across this work include DNA and Biological Computing (6 papers), Error Correcting Code Techniques (6 papers), Biometric Identification and Security (5 papers), CCD and CMOS Imaging Sensors (3 papers), Cooperative Communication and Network Coding (3 papers), Advanced Wireless Communication Techniques (3 papers), Cellular Automata and Applications (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Signal Processing (622 citations), Computer Vision and Pattern Recognition (330 citations), Safety Research (119 citations), Information Systems (304 citations) and Genetics (87 citations). Longyu Ma has collaborated with scholars based in New Zealand, China and Luxembourg. Frequent co-authors include Yunlong Wang, Tieniu Tan, David Zhang, Chiu‐Wing Sham, Jing Sun, Symeon Chatzinotas, Thang X. Vu, Arsham Mostaani, Yuting Xie and Guolong Liang. Their work appears in journals such as IEEE Access, IEEE Wireless Communications Letters, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits & Systems II Express Briefs and IEEE Transactions on Image Processing.
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.