Fengying Dang
Impact in
-
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Model Reduction and Neural Networks 6
-
- Underwater Vehicles and Communication Systems 4
- Co-authors
- Dong Chen (3 shared papers)Zhaojian Li (2 shared papers)Yuzhen Lu (2 shared papers)Feitian Zhang (7 shared papers)Zhaojian Li (1 shared paper)Jun Chen (1 shared paper)Xiaoqiang Ren (1 shared paper)Xiaofan Wang (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Journal of Dynamic Systems Measurement and Control (1 paper)Computers and Electronics in Agriculture (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Fengying Dang
11 papers receiving 279 citations
Fengying Dang's Hit Papers
Peers
Comparison fields: 5 of 58
- Plant Science 165
- Analytical Chemistry 35
- Automotive Engineering 22
- Industrial and Manufacturing Engineering 17
- Statistical and Nonlinear Physics 21
Countries citing papers authored by Fengying Dang
This map shows the geographic impact of Fengying Dang'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 Fengying Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengying Dang more than expected).
Fields of papers citing papers by Fengying Dang
This network shows the impact of papers produced by Fengying Dang. 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 Fengying Dang. The network helps show where Fengying Dang may publish in the future.
Co-authors
The 9 scholars most cited alongside Fengying Dang, 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 | YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems Hit paper breakdown → | 2023 | 195 |
| 2 | 2023 | 37 | |
| 3 | 2021 | 12 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 9 | |
| 6 | 2019 | 8 | |
| 7 | 2017 | 6 | |
| 8 | 2018 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 1 |
About Fengying Dang
Fengying Dang is a scholar working on Statistical and Nonlinear Physics, Ocean Engineering, Civil and Structural Engineering, Computational Mechanics and Control and Systems Engineering, having authored 11 papers that have together received 289 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (6 papers), Underwater Vehicles and Communication Systems (4 papers), Water Systems and Optimization (2 papers), Hydraulic and Pneumatic Systems (2 papers), Fluid Dynamics and Vibration Analysis (2 papers), Smart Agriculture and AI (2 papers), Date Palm Research Studies (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Plant Science (165 citations), Analytical Chemistry (35 citations), Automotive Engineering (22 citations), Industrial and Manufacturing Engineering (17 citations) and Statistical and Nonlinear Physics (21 citations). Fengying Dang has collaborated with scholars based in United States and China. Frequent co-authors include Dong Chen, Zhaojian Li, Yuzhen Lu, Feitian Zhang, Zhaojian Li, Jun Chen, Xiaoqiang Ren, Xiaofan Wang and Yu Zheng. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Dynamic Systems Measurement and Control, Computers and Electronics in Agriculture, IEEE Transactions on Intelligent Vehicles and 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
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.