Bo Dong
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Topics
- Visual Attention and Saliency Detection (9 papers)Video Surveillance and Tracking Methods (7 papers)Advanced Neural Network Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceEnergy
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Bo Dong
40 papers receiving 807 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 385
- Artificial Intelligence 155
- Electrical and Electronic Engineering 119
- Radiology, Nuclear Medicine and Imaging 114
- Biomedical Engineering 88
Countries citing papers authored by Bo Dong
This map shows the geographic impact of Bo 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 Bo Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Dong more than expected).
Fields of papers citing papers by Bo Dong
This network shows the impact of papers produced by Bo 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 Bo Dong. The network helps show where Bo Dong may publish in the future.
Co-authorship network of co-authors of Bo Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Bo Dong. A scholar is included among the top collaborators of Bo 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 Bo Dong. Bo 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 | 1 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 61 | |
| 11 | 108 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 37 | |
| 15 | 9 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | Energy management system architecture based on Internet of Things | 3 |
| 19 | Flexible substrates and encapsulation methods for flexible organic light emitting devices | 2 |
| 20 | 1 |
About Bo Dong
Bo Dong is a scholar working on Fuel Technology, Complementary and Manual Therapy and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 825 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (385 citations), Media Technology (86 citations) and Orthodontics (44 citations). Bo Dong has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Xin Yang, Deng-Ping Fan, Baocai Yin, Jiqing Zhang, Xiaopeng Wei, Jinpeng Li, Wenhai Wang, Ling Shao, Huazhu Fu and Felix Heide. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Energy.
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.