Yuanduo Hong
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Civil and Structural Engineering
- Industrial and Manufacturing Engineering
- Ocean Engineering
- Co-authors
- Huihui PanWeichao SunHuijun GaoNa WuTingting LiuNing BianYulei Wang
- Topics
- Advanced Neural Network Applications (3 papers)Advanced Image and Video Retrieval Techniques (1 paper)Image Retrieval and Classification Techniques (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Industrial InformaticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- China
In The Last Decade
Yuanduo Hong
4 papers receiving 257 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 54
- Civil and Structural Engineering 32
- Industrial and Manufacturing Engineering 27
- Ocean Engineering 25
Countries citing papers authored by Yuanduo Hong
This map shows the geographic impact of Yuanduo Hong'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 Yuanduo Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanduo Hong more than expected).
Fields of papers citing papers by Yuanduo Hong
This network shows the impact of papers produced by Yuanduo Hong. 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 Yuanduo Hong. The network helps show where Yuanduo Hong may publish in the future.
Co-authorship network of co-authors of Yuanduo Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanduo Hong. A scholar is included among the top collaborators of Yuanduo Hong 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 Yuanduo Hong. Yuanduo Hong 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 | 3 | |
| 3 | Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenesbreakdown → | 239 |
| 4 | 9 | |
| 5 | 11 |
About Yuanduo Hong
Yuanduo Hong is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 5 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Media Technology (25 citations) and Industrial and Manufacturing Engineering (27 citations). Yuanduo Hong has collaborated with scholars based in China. Frequent co-authors include Huihui Pan, Weichao Sun, Huijun Gao, Na Wu, Tingting Liu, Ning Bian and Yulei Wang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.
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.