Ruimao Zhang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Materials Chemistry
- Computational Mechanics top 5%
- Biomedical Engineering
- Topics
- Advanced Neural Network Applications (16 papers)Advanced Image and Video Retrieval Techniques (16 papers)Multimodal Machine Learning Applications (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignArtificial Intelligence
In The Last Decade
Ruimao Zhang
70 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 533
- Materials Chemistry 336
- Computational Mechanics 276
- Biomedical Engineering 139
Countries citing papers authored by Ruimao Zhang
This map shows the geographic impact of Ruimao Zhang'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 Ruimao Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruimao Zhang more than expected).
Fields of papers citing papers by Ruimao Zhang
This network shows the impact of papers produced by Ruimao Zhang. 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 Ruimao Zhang. The network helps show where Ruimao Zhang may publish in the future.
Co-authorship network of co-authors of Ruimao Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruimao Zhang. A scholar is included among the top collaborators of Ruimao Zhang 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 Ruimao Zhang. Ruimao Zhang 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | Differentiable Dynamic Normalization for Learning Deep Representation | 11 |
| 13 | 182 | |
| 14 | 17 | |
| 15 | 68 | |
| 16 | Differentiable Learning-to-Normalize via Switchable Normalization | 12 |
| 17 | Scene Parsing by Weakly Supervised Learning with Image Descriptions. | 1 |
| 18 | Geometric scene parsing with hierarchical LSTM | 1 |
| 19 | 7 | |
| 20 | 1 |
About Ruimao Zhang
Ruimao Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Multimodal Machine Learning Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (131 citations) and Artificial Intelligence (533 citations). Ruimao Zhang has collaborated with scholars based in China, Hong Kong and Spain. Frequent co-authors include Ping Luo, Liang Lin, Dongyu Zhang, Ya Li, Keze Wang, Dongju Zhang, Yuying Ge, Xiaogang Wang, Wei Liu and Xiaoou Tang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Chemical Physics Letters.
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.