Shaohua Dong
- Computer Vision and Pattern Recognition top 5%
- Industrial and Manufacturing Engineering top 10%
- Media Technology top 10%
- Artificial Intelligence
- Aerospace Engineering
- Topics
- Advanced Neural Network Applications (5 papers)Video Surveillance and Tracking Methods (3 papers)Automated Road and Building Extraction (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Intelligent Transportation SystemsInformation FusionOptics Communications
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shaohua Dong
16 papers receiving 359 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 216
- Industrial and Manufacturing Engineering 51
- Media Technology 50
- Artificial Intelligence 46
- Aerospace Engineering 39
Countries citing papers authored by Shaohua Dong
This map shows the geographic impact of Shaohua Dong'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 Shaohua Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohua Dong more than expected).
Fields of papers citing papers by Shaohua Dong
This network shows the impact of papers produced by Shaohua Dong. 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 Shaohua Dong. The network helps show where Shaohua Dong may publish in the future.
Co-authorship network of co-authors of Shaohua Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Dong. A scholar is included among the top collaborators of Shaohua Dong 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 Shaohua Dong. Shaohua Dong 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 | 9 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 35 | |
| 7 | 40 | |
| 8 | 89 | |
| 9 | 11 | |
| 10 | 32 | |
| 11 | 18 | |
| 12 | 24 | |
| 13 | 98 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | Image Edge Detection based on Wavelet Multi-scale Transform | 1 |
| 20 | Basic thinking and framework for earthquake risk integrated assessment of natural gas pipeline | 1 |
About Shaohua Dong
Shaohua Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (3 papers) and Automated Road and Building Extraction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Media Technology (50 citations) and Industrial and Manufacturing Engineering (51 citations). Shaohua Dong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wujie Zhou, Lu Yu, Jingsheng Lei, Yaguan Qian, Weiqing Yan, Meixin Fang, Yanfei Chen, Lingyun Guo, Changfeng Fu and Lei Zhang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Information Fusion and Optics Communications.
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.