Baoyuan Deng
- Mechanics of Materials top 10%
- Aerospace Engineering
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yunze HeKe ZhouHongjin WangFrancesco CiampaLiang ChengZhenjun ZhangWentao WuYaonan Wang
- Topics
- Thermography and Photoacoustic Techniques (4 papers)Industrial Vision Systems and Defect Detection (4 papers)Optical measurement and interference techniques (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringMechanics of MaterialsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Baoyuan Deng
11 papers receiving 273 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Mechanics of Materials 121
- Aerospace Engineering 59
- Computer Vision and Pattern Recognition 57
- Industrial and Manufacturing Engineering 54
- Electrical and Electronic Engineering 54
Countries citing papers authored by Baoyuan Deng
This map shows the geographic impact of Baoyuan Deng'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 Baoyuan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoyuan Deng more than expected).
Fields of papers citing papers by Baoyuan Deng
This network shows the impact of papers produced by Baoyuan Deng. 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 Baoyuan Deng. The network helps show where Baoyuan Deng may publish in the future.
Co-authorship network of co-authors of Baoyuan Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Baoyuan Deng. A scholar is included among the top collaborators of Baoyuan Deng 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 Baoyuan Deng. Baoyuan Deng 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 25 | |
| 8 | Infrared machine vision and infrared thermography with deep learning: A reviewbreakdown → | 200 |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 23 |
About Baoyuan Deng
Baoyuan Deng is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 12 papers that have together received 284 indexed citations. Recurring topics across this work include Thermography and Photoacoustic Techniques (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (54 citations), Mechanics of Materials (121 citations) and Computer Vision and Pattern Recognition (57 citations). Baoyuan Deng has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yunze He, Ke Zhou, Hongjin Wang, Francesco Ciampa, Liang Cheng, Zhenjun Zhang, Wentao Wu, Yaonan Wang, Guoji Shen and Yiwen Li. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sustainability.
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.