Shidong Wang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Immunology
- Biomedical Engineering
- Topics
- Domain Adaptation and Few-Shot Learning (15 papers)Advanced Neural Network Applications (11 papers)Medical Image Segmentation Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePhysical Review B
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Shidong Wang
55 papers receiving 650 citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 262
- Artificial Intelligence 132
- Molecular Biology 93
- Immunology 85
- Biomedical Engineering 78
Countries citing papers authored by Shidong Wang
This map shows the geographic impact of Shidong Wang'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 Shidong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shidong Wang more than expected).
Fields of papers citing papers by Shidong Wang
This network shows the impact of papers produced by Shidong Wang. 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 Shidong Wang. The network helps show where Shidong Wang may publish in the future.
Co-authorship network of co-authors of Shidong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shidong Wang. A scholar is included among the top collaborators of Shidong Wang 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 Shidong Wang. Shidong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Recurrent Transformer Network for Remote Sensing Scene Categorisation. | 13 |
| 17 | Investigation on professional identity of undergraduate nursing students from Inner Mongolia region | 2 |
| 18 | Study and application of suitability evaluation of land reclamation based on comprehensive extreme condition method | 2 |
| 19 | Cubic B-spline curve reconstruction based on SOM | 1 |
| 20 | The application of octrees in 3D modeling | 1 |
About Shidong Wang
Shidong Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 63 papers that have together received 657 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (15 papers), Advanced Neural Network Applications (11 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (262 citations), Media Technology (55 citations) and Cancer Research (72 citations). Shidong Wang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Haofeng Zhang, Bingxin Zheng, Kuisheng Liu, Ling Shao, Yu Han, Tingting Ren, Hongliang Zhang, Yi Huang, Wei Guo and Yang Kang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Physical Review B.
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.