Jianghong Ma
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Media Technology top 5%
- Signal Processing top 10%
- Co-authors
- Tommy W. S. ChowHaijun ZhangYee LeungDongliang ZhouNannan JiDong LiYunming YeJiancheng Luo
- Topics
- Generative Adversarial Networks and Image Synthesis (12 papers)Text and Document Classification Technologies (12 papers)Image Retrieval and Classification Techniques (11 papers)
In The Last Decade
Jianghong Ma
66 papers receiving 775 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 386
- Computer Vision and Pattern Recognition 325
- Information Systems 109
- Media Technology 74
- Signal Processing 70
Countries citing papers authored by Jianghong Ma
This map shows the geographic impact of Jianghong 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 Jianghong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianghong Ma more than expected).
Fields of papers citing papers by Jianghong Ma
This network shows the impact of papers produced by Jianghong 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 Jianghong Ma. The network helps show where Jianghong Ma may publish in the future.
Co-authorship network of co-authors of Jianghong Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Jianghong Ma. A scholar is included among the top collaborators of Jianghong 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 Jianghong Ma. Jianghong Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 44 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 28 | |
| 15 | 16 | |
| 16 | 21 | |
| 17 | 42 | |
| 18 | 13 | |
| 19 | Comparison of two data fusion methods for information retrieval | 1 |
| 20 | 4 |
About Jianghong Ma
Jianghong Ma is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 75 papers that have together received 798 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (12 papers), Text and Document Classification Technologies (12 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (325 citations), Artificial Intelligence (386 citations) and Media Technology (74 citations). Jianghong Ma has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Tommy W. S. Chow, Haijun Zhang, Yee Leung, Dongliang Zhou, Nannan Ji, Dong Li, Yunming Ye, Jiancheng Luo, Xiaofei Xu and Tianjun Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.