Ruoling Deng
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
Papers in
-
- Smart Agriculture and AI 8
- GABA and Rice Research 2
- Leaf Properties and Growth Measurement 2
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- Spectroscopy and Chemometric Analyses 3
- Co-authors
- Long Qi (7 shared papers)Chuang Liu (3 shared papers)Ming Tao (3 shared papers)Ming Tao (2 shared papers)Xu Ma (2 shared papers)Yu Jiang (2 shared papers)Qiang Cai (1 shared paper)Chuang Liu (1 shared paper)
- Journals
- Sensors (3 papers)Frontiers in Plant Science (2 papers)Computers and Electronics in Agriculture (2 papers)Ecological Informatics (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaSierra Leone
In The Last Decade
Ruoling Deng
9 papers receiving 313 citations
Peers
Comparison fields: 5 of 55
- Analytical Chemistry 80
- Plant Science 237
- Ecology 63
- Computer Vision and Pattern Recognition 35
- Water Science and Technology 22
Countries citing papers authored by Ruoling Deng
This map shows the geographic impact of Ruoling 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 Ruoling Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoling Deng more than expected).
Fields of papers citing papers by Ruoling Deng
This network shows the impact of papers produced by Ruoling 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 Ruoling Deng. The network helps show where Ruoling Deng may publish in the future.
Co-authors
The 21 scholars most cited alongside Ruoling Deng, 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 | 2021 | 112 | |
| 2 | 2020 | 47 | |
| 3 | 2023 | 45 | |
| 4 | 2020 | 45 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2019 | 21 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 |
About Ruoling Deng
Ruoling Deng is a scholar working on Plant Science, Analytical Chemistry, Computer Vision and Pattern Recognition, Ecology and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 326 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Spectroscopy and Chemometric Analyses (3 papers), Remote Sensing in Agriculture (2 papers), Industrial Vision Systems and Defect Detection (2 papers), GABA and Rice Research (2 papers), Advanced Neural Network Applications (2 papers), Leaf Properties and Growth Measurement (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Analytical Chemistry (80 citations), Plant Science (237 citations), Ecology (63 citations), Computer Vision and Pattern Recognition (35 citations) and Water Science and Technology (22 citations). Ruoling Deng has collaborated with scholars based in China and Sierra Leone. Frequent co-authors include Long Qi, Chuang Liu, Ming Tao, Ming Tao, Xu Ma, Yu Jiang, Qiang Cai, Chuang Liu, Chuang Liu and Jiang Qian. Their work appears in journals such as Sensors, Frontiers in Plant Science, Computers and Electronics in Agriculture, Ecological Informatics and Agronomy.
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.