Runlong Cao
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
- Video Surveillance and Tracking Methods 2
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- 3D Shape Modeling and Analysis 3
- Co-authors
- Ying Zang (7 shared papers)Zejian Li (3 shared papers)Tianrun Chen (5 shared papers)Lanyun Zhu (3 shared papers)Shangzhan Zhang (1 shared paper)Lingyun Sun (2 shared papers)Papa Mao (1 shared paper)Chaotao Ding (1 shared paper)
In The Last Decade
Runlong Cao
6 papers receiving 184 citations
Runlong Cao's Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 104
- Media Technology 16
- Acoustics and Ultrasonics 1
- Neurology 8
- Industrial and Manufacturing Engineering 10
Countries citing papers authored by Runlong Cao
This map shows the geographic impact of Runlong Cao'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 Runlong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runlong Cao more than expected).
Fields of papers citing papers by Runlong Cao
This network shows the impact of papers produced by Runlong Cao. 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 Runlong Cao. The network helps show where Runlong Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Runlong Cao, 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 | SAM-Adapter: Adapting Segment Anything in Underperformed Scenes Hit paper breakdown → | 2023 | 161 |
| 2 | 2023 | 7 | |
| 3 | 2024 | 6 | |
| 4 | 2025 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 |
About Runlong Cao
Runlong Cao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Media Technology and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 188 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (2 papers), Video Surveillance and Tracking Methods (2 papers), Remote-Sensing Image Classification (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Media Technology (16 citations), Acoustics and Ultrasonics (1 citation), Neurology (8 citations) and Industrial and Manufacturing Engineering (10 citations). Runlong Cao has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Ying Zang, Zejian Li, Tianrun Chen, Lanyun Zhu, Shangzhan Zhang, Lingyun Sun, Papa Mao, Chaotao Ding, Yan Wang and Lingyun Sun. Their work appears in journals such as Applied Soft Computing, Engineering Applications of Artificial Intelligence, The Visual Computer, IEEE Transactions on Industrial Informatics and Information Sciences.
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.