Congbo Ma
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
Papers in
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- Advanced Text Analysis Techniques 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Image Enhancement Techniques 1
- Co-authors
- Wei Emma Zhang (3 shared papers)Quan Z. Sheng (2 shared papers)Mingyu Guo (2 shared papers)Gustavo Carneiro (2 shared papers)Jodie Avery (2 shared papers)M. Louise Hull (2 shared papers)Yuanhong Chen (1 shared paper)Qi Wu (2 shared papers)
- Journals
- ACM Computing Surveys (1 paper)Physics in Medicine and Biology (1 paper)IEEE Transactions on Computational Social Systems (1 paper)IEEE Open Journal of Intelligent Transportation Systems (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (2 papers)
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Congbo Ma
9 papers receiving 206 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 67
- Artificial Intelligence 105
- Neurology 14
- Health Informatics 2
- Signal Processing 15
Countries citing papers authored by Congbo Ma
This map shows the geographic impact of Congbo 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 Congbo Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congbo Ma more than expected).
Fields of papers citing papers by Congbo Ma
This network shows the impact of papers produced by Congbo 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 Congbo Ma. The network helps show where Congbo Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Congbo 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 | 2023 | 65 | |
| 2 | 2022 | 58 | |
| 3 | 2023 | 37 | |
| 4 | 2020 | 32 | |
| 5 | 2021 | 12 | |
| 6 | 2024 | 5 | |
| 7 | 2017 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2024 | 0 |
About Congbo Ma
Congbo Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Automotive Engineering, having authored 11 papers that have together received 213 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Image Enhancement Techniques (1 paper), Endometriosis Research and Treatment (1 paper), Cell Image Analysis Techniques (1 paper), Advanced Malware Detection Techniques (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (67 citations), Artificial Intelligence (105 citations), Neurology (14 citations), Health Informatics (2 citations) and Signal Processing (15 citations). Congbo Ma has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Wei Emma Zhang, Quan Z. Sheng, Mingyu Guo, Gustavo Carneiro, Jodie Avery, M. Louise Hull, Yuanhong Chen, Qi Wu, Minhui Xue and Ruoxi Sun. Their work appears in journals such as ACM Computing Surveys, Physics in Medicine and Biology, IEEE Transactions on Computational Social Systems, IEEE Open Journal of Intelligent Transportation Systems and Adelaide Research & Scholarship (AR&S) (University of Adelaide).
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.