Runlong Cao
Impact in
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- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- 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
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
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- Computer Graphics and Visualization Techniques 2
- Co-authors
- Ying Qin Zang (9 shared papers)Tianrun Chen (7 shared papers)Zejian Li (4 shared papers)Lanyun Zhu (5 shared papers)Yan Wang (1 shared paper)Chaotao Ding (2 shared papers)Lingyun Sun (2 shared papers)Shangzhan Zhang (1 shared paper)
In The Last Decade
Runlong Cao
7 papers receiving 261 citations
Runlong Cao's Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 140
- Media Technology 22
- Ocean Engineering 19
- Radiology, Nuclear Medicine and Imaging 25
- Neurology 9
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 | 230 |
| 2 | 2025 | 12 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2026 | 0 | |
| 12 | 2026 | 0 |
About Runlong Cao
Runlong Cao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Computational Mechanics and Artificial Intelligence, having authored 12 papers that have together received 268 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (3 papers), Advanced Neural Network Applications (3 papers), Computer Graphics and Visualization Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Multimodal Machine Learning Applications (2 papers), Remote-Sensing Image Classification (2 papers) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Media Technology (22 citations), Ocean Engineering (19 citations), Radiology, Nuclear Medicine and Imaging (25 citations) and Neurology (9 citations). Runlong Cao has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Ying Qin Zang, Tianrun Chen, Zejian Li, Lanyun Zhu, Yan Wang, Chaotao Ding, Lingyun Sun, Shangzhan Zhang, Papa Mao and Lingyun Sun. Their work appears in journals such as The Visual Computer, Measurement, IEEE Transactions on Multimedia, Information Sciences and IEEE Transactions on Industrial Informatics.
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.