Bin Yan
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
-
- Industrial Vision Systems and Defect Detection
Papers in
-
- Smart Agriculture and AI 10
- Plant Virus Research Studies 3
- Plant Disease Management Techniques 2
-
- Spectroscopy and Chemometric Analyses 3
- Co-authors
- Fuzeng Yang (5 shared papers)Pan Fan (5 shared papers)Zhijie Liu (4 shared papers)Xiaoyan Lei (4 shared papers)Meirong Wang (2 shared papers)Chunna Tian (1 shared paper)Wenchuan Guo (1 shared paper)Yang Liu (1 shared paper)
In The Last Decade
Bin Yan
12 papers receiving 556 citations
Bin Yan's Hit Papers
Peers
Comparison fields: 5 of 89
- Plant Science 313
- Industrial and Manufacturing Engineering 76
- Analytical Chemistry 74
- Computer Vision and Pattern Recognition 145
- Media Technology 44
Countries citing papers authored by Bin Yan
This map shows the geographic impact of Bin Yan'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 Bin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yan more than expected).
Fields of papers citing papers by Bin Yan
This network shows the impact of papers produced by Bin Yan. 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 Bin Yan. The network helps show where Bin Yan may publish in the future.
Co-authors
The 14 scholars most cited alongside Bin Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5 Hit paper breakdown → | 2021 | 411 |
| 2 | 2021 | 39 | |
| 3 | 2021 | 30 | |
| 4 | 2021 | 23 | |
| 5 | 2018 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 10 | |
| 8 | 2019 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2018 | 0 |
About Bin Yan
Bin Yan is a scholar working on Plant Science, Analytical Chemistry, Control and Systems Engineering, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 16 papers that have together received 569 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (3 papers), Plant Virus Research Studies (3 papers), Robotics and Sensor-Based Localization (2 papers), Remote Sensing and Land Use (2 papers), Plant Disease Management Techniques (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Plant Science (313 citations), Industrial and Manufacturing Engineering (76 citations), Analytical Chemistry (74 citations), Computer Vision and Pattern Recognition (145 citations) and Media Technology (44 citations). Bin Yan has collaborated with scholars based in China, Estonia and Tunisia. Frequent co-authors include Fuzeng Yang, Pan Fan, Zhijie Liu, Xiaoyan Lei, Meirong Wang, Chunna Tian, Wenchuan Guo, Yang Liu, Xiang-Shan Kong and Ling Li. Their work appears in journals such as Remote Sensing, Horticulturae, Journal of the Science of Food and Agriculture, Agronomy 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.