Yuchen Wen
- Industrial and Manufacturing Engineering top 5%
- Plant Science
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics top 10%
- Co-authors
- Jianjun ShiXiaowei YueHuaibo SongXingshi XuShujin ZhangZheng WangBaoling MaLi Rong
- Topics
- Smart Agriculture and AI (5 papers)Effects of Environmental Stressors on Livestock (4 papers)Manufacturing Process and Optimization (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintySmall Animals
- Journals
- Expert Systems with ApplicationsApplied Soft ComputingComputers and Electronics in Agriculture
- Partner nations
- ChinaUnited States
In The Last Decade
Yuchen Wen
11 papers receiving 318 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 96
- Plant Science 65
- Mechanical Engineering 47
- Computer Vision and Pattern Recognition 40
- Computational Theory and Mathematics 36
Countries citing papers authored by Yuchen Wen
This map shows the geographic impact of Yuchen Wen'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 Yuchen Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Wen more than expected).
Fields of papers citing papers by Yuchen Wen
This network shows the impact of papers produced by Yuchen Wen. 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 Yuchen Wen. The network helps show where Yuchen Wen may publish in the future.
Co-authorship network of co-authors of Yuchen Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Wen. A scholar is included among the top collaborators of Yuchen Wen 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 Yuchen Wen. Yuchen Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environmentsbreakdown → | 53 |
| 4 | 4 | |
| 5 | 18 | |
| 6 | E-YOLO: Recognition of estrus cow based on improved YOLOv8n modelbreakdown → | 63 |
| 7 | 12 | |
| 8 | 45 | |
| 9 | 26 | |
| 10 | 47 | |
| 11 | 50 |
About Yuchen Wen
Yuchen Wen is a scholar working on Small Animals, Animal Science and Zoology and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 322 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Effects of Environmental Stressors on Livestock (4 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (96 citations), Statistics, Probability and Uncertainty (28 citations) and Small Animals (28 citations). Yuchen Wen has collaborated with scholars based in China and United States. Frequent co-authors include Jianjun Shi, Xiaowei Yue, Huaibo Song, Xingshi Xu, Shujin Zhang, Zheng Wang, Baoling Ma, Li Rong, Rong Li and Huaibo Song. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Computers and Electronics in Agriculture.
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.