Ran Song
Impact in
-
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Visual Attention and Saliency Detection 13
- Multimodal Machine Learning Applications 11
- Video Surveillance and Tracking Methods 10
- Advanced Neural Network Applications 9
-
- 3D Shape Modeling and Analysis 21
- Co-authors
- Yonghuai Liu (22 shared papers)Wei Zhang (29 shared papers)Sherong Zhang (9 shared papers)Paul L. Rosin (14 shared papers)Chao Wang (8 shared papers)Yibin Li (17 shared papers)Xiaohua Wang (6 shared papers)Yitian Zhao (15 shared papers)
- Journals
- Construction and Building Materials (5 papers)Pattern Recognition (4 papers)IEEE Robotics and Automation Letters (4 papers)IEEE Transactions on Image Processing (3 papers)Inorganic Chemistry (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ran Song
108 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 524
- Computer Graphics and Computer-Aided Design 81
- Civil and Structural Engineering 318
- Geology 76
- Building and Construction 150
Countries citing papers authored by Ran Song
This map shows the geographic impact of Ran Song'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 Ran Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Song more than expected).
Fields of papers citing papers by Ran Song
This network shows the impact of papers produced by Ran Song. 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 Ran Song. The network helps show where Ran Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 101 | |
| 2 | Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks Hit paper breakdown → | 2022 | 100 |
| 3 | 2018 | 73 | |
| 4 | 2006 | 72 | |
| 5 | 2018 | 69 | |
| 6 | 2022 | 45 | |
| 7 | 2019 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2023 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2018 | 31 | |
| 12 | 2023 | 30 | |
| 13 | 2021 | 26 | |
| 14 | 2012 | 26 | |
| 15 | 2023 | 23 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2021 | 20 | |
| 20 | 2019 | 19 |
About Ran Song
Ran Song is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Aerospace Engineering and Civil and Structural Engineering, having authored 117 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (21 papers), Robotics and Sensor-Based Localization (15 papers), Visual Attention and Saliency Detection (13 papers), Computer Graphics and Visualization Techniques (12 papers), Multimodal Machine Learning Applications (11 papers), Video Surveillance and Tracking Methods (10 papers), 3D Surveying and Cultural Heritage (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (524 citations), Computer Graphics and Computer-Aided Design (81 citations), Civil and Structural Engineering (318 citations), Geology (76 citations) and Building and Construction (150 citations). Ran Song has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yonghuai Liu, Wei Zhang, Sherong Zhang, Paul L. Rosin, Chao Wang, Yibin Li, Xiaohua Wang, Yitian Zhao, Ralph R. Martin and Hao Zhang. Their work appears in journals such as Construction and Building Materials, Pattern Recognition, IEEE Robotics and Automation Letters, IEEE Transactions on Image Processing and Inorganic Chemistry.
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.