Yuanyuan Ding
- Industrial and Manufacturing Engineering top 2%
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Mechanical Engineering
- Topics
- Air Traffic Management and Optimization (7 papers)Aviation Industry Analysis and Trends (4 papers)Advanced Vision and Imaging (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceSensorsExperimental Gerontology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yuanyuan Ding
30 papers receiving 629 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Industrial and Manufacturing Engineering 206
- Plant Science 178
- Computer Vision and Pattern Recognition 162
- Biomedical Engineering 82
- Mechanical Engineering 65
Countries citing papers authored by Yuanyuan Ding
This map shows the geographic impact of Yuanyuan Ding'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 Yuanyuan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyuan Ding more than expected).
Fields of papers citing papers by Yuanyuan Ding
This network shows the impact of papers produced by Yuanyuan Ding. 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 Yuanyuan Ding. The network helps show where Yuanyuan Ding may publish in the future.
Co-authorship network of co-authors of Yuanyuan Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan Ding. A scholar is included among the top collaborators of Yuanyuan Ding 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 Yuanyuan Ding. Yuanyuan Ding 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 | 2 | |
| 3 | 0 | |
| 4 | 56 | |
| 5 | 22 | |
| 6 | Surface Defect Detection Methods for Industrial Products: A Reviewbreakdown → | 225 |
| 7 | Review of Weed Detection Methods Based on Computer Visionbreakdown → | 185 |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | Research of fast intra prediction algorithm for H.264/AVC | 1 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 6 |
About Yuanyuan Ding
Yuanyuan Ding is a scholar working on Computer Graphics and Computer-Aided Design, General Economics, Econometrics and Finance and Aerospace Engineering, having authored 34 papers that have together received 656 indexed citations. Recurring topics across this work include Air Traffic Management and Optimization (7 papers), Aviation Industry Analysis and Trends (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (206 citations), Computer Vision and Pattern Recognition (162 citations) and Media Technology (42 citations). Yuanyuan Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yajun Chen, Linhao Shao, Erhu Zhang, Fan Zhao, Xiaobing Kang, Bo Zhao, Jingyi Yu, Yuji Pu, Wenxia Gao and Kui Luo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Experimental Gerontology.
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.