Dapeng Ye
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Smart Agriculture and AI 13
- Phytoplasmas and Hemiptera pathogens 6
- Plant Pathogenic Bacteria Studies 5
-
- Spectroscopy and Chemometric Analyses 20
- Co-authors
- Xuan Wei (5 shared papers)Xiaoli Li (5 shared papers)Jincheng He (4 shared papers)Haiyong Weng (20 shared papers)Juanjuan Jin (1 shared paper)Chanjun Sun (1 shared paper)Zhenxiong Huang (4 shared papers)Bin Li (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (5 papers)Frontiers in Plant Science (4 papers)Agronomy (4 papers)Plants (3 papers)Plant Phenomics (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dapeng Ye
62 papers receiving 702 citations
Peers
Comparison fields: 5 of 83
- Analytical Chemistry 308
- Biophysics 64
- Biochemistry 50
- Horticulture 8
- Industrial and Manufacturing Engineering 47
Countries citing papers authored by Dapeng Ye
This map shows the geographic impact of Dapeng Ye'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 Dapeng Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Ye more than expected).
Fields of papers citing papers by Dapeng Ye
This network shows the impact of papers produced by Dapeng Ye. 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 Dapeng Ye. The network helps show where Dapeng Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dapeng Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2018 | 69 | |
| 3 | 2020 | 50 | |
| 4 | 2020 | 39 | |
| 5 | 2022 | 32 | |
| 6 | 2019 | 31 | |
| 7 | 2021 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2016 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 1995 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 12 |
About Dapeng Ye
Dapeng Ye is a scholar working on Plant Science, Analytical Chemistry, Biomedical Engineering, Ecology and Biophysics, having authored 67 papers that have together received 714 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (20 papers), Smart Agriculture and AI (13 papers), Remote Sensing in Agriculture (9 papers), Advanced Chemical Sensor Technologies (9 papers), Phytoplasmas and Hemiptera pathogens (6 papers), Plant Pathogenic Bacteria Studies (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Analytical Chemistry (308 citations), Biophysics (64 citations), Biochemistry (50 citations), Horticulture (8 citations) and Industrial and Manufacturing Engineering (47 citations). Dapeng Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xuan Wei, Xiaoli Li, Jincheng He, Haiyong Weng, Juanjuan Jin, Chanjun Sun, Zhenxiong Huang, Bin Li, Biyun Yang and Dengfei Jie. Their work appears in journals such as Computers and Electronics in Agriculture, Frontiers in Plant Science, Agronomy, Plants and Plant Phenomics.
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.