Mingle Xu
Impact in
-
- Advanced Neural Network Applications
- Plant Science top 10%
- Smart Agriculture and AI
- Plant Virus Research Studies
- Plant Disease Management Techniques
Papers in
-
- Smart Agriculture and AI 9
- Plant Virus Research Studies 5
- Plant Disease Management Techniques 4
- Plant Pathogenic Bacteria Studies 2
-
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Sook Yoon (11 shared papers)Dong Sun Park (9 shared papers)Alvaro Fuentes (5 shared papers)Jucheng Yang (4 shared papers)Yongchae Jeong (3 shared papers)Sheng Liu (1 shared paper)Jiajia Li (1 shared paper)Dong Chen (1 shared paper)
- Journals
- Frontiers in Plant Science (6 papers)IEEE Access (2 papers)Computers and Electronics in Agriculture (2 papers)Image and Vision Computing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- South KoreaChinaSingapore
In The Last Decade
Mingle Xu
14 papers receiving 533 citations
Mingle Xu's Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 122
- Plant Science 189
- Analytical Chemistry 49
- Health Informatics 6
- Industrial and Manufacturing Engineering 41
Countries citing papers authored by Mingle Xu
This map shows the geographic impact of Mingle Xu'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 Mingle Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingle Xu more than expected).
Fields of papers citing papers by Mingle Xu
This network shows the impact of papers produced by Mingle Xu. 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 Mingle Xu. The network helps show where Mingle Xu may publish in the future.
Co-authors
The 18 scholars most cited alongside Mingle Xu, 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 Comprehensive Survey of Image Augmentation Techniques for Deep Learning Hit paper breakdown → | 2023 | 319 |
| 2 | Foundation models in smart agriculture: Basics, opportunities, and challenges Hit paper breakdown → | 2024 | 42 |
| 3 | 2022 | 40 | |
| 4 | 2017 | 33 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 10 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2016 | 1 |
About Mingle Xu
Mingle Xu is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Artificial Intelligence, Ecology and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 543 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), Plant Virus Research Studies (5 papers), Plant Disease Management Techniques (4 papers), Vehicle Routing Optimization Methods (2 papers), Remote Sensing in Agriculture (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Plant Science (189 citations), Analytical Chemistry (49 citations), Health Informatics (6 citations) and Industrial and Manufacturing Engineering (41 citations). Mingle Xu has collaborated with scholars based in South Korea, China and Singapore. Frequent co-authors include Sook Yoon, Dong Sun Park, Alvaro Fuentes, Jucheng Yang, Yongchae Jeong, Sheng Liu, Jiajia Li, Dong Chen, Yao Meng and Xunyuan Yin. Their work appears in journals such as Frontiers in Plant Science, IEEE Access, Computers and Electronics in Agriculture, Image and Vision Computing and Pattern Recognition.
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.