Xing Wei
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
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- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Stress Responses and Tolerance
- Plant Virus Research Studies
Papers in
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- Smart Agriculture and AI 9
- Leaf Properties and Growth Measurement 5
-
- Spectroscopy and Chemometric Analyses 9
- Co-authors
- Brian D. Ziebart (4 shared papers)Hillary L. Mehl (3 shared papers)David B. Langston (3 shared papers)Li Song (1 shared paper)Bin Liu (3 shared papers)Jian Xun Jin (3 shared papers)Zhihang Song (4 shared papers)Yue Zhao (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (6 papers)Remote Sensing (3 papers)Sensors (3 papers)Applied Intelligence (1 paper)Water (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xing Wei
42 papers receiving 268 citations
Peers
Comparison fields: 5 of 77
- Analytical Chemistry 66
- Plant Science 135
- Horticulture 2
- Ecology 51
- Artificial Intelligence 33
Countries citing papers authored by Xing Wei
This map shows the geographic impact of Xing Wei'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 Xing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Wei more than expected).
Fields of papers citing papers by Xing Wei
This network shows the impact of papers produced by Xing Wei. 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 Xing Wei. The network helps show where Xing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Wei, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 36 | |
| 2 | 2019 | 25 | |
| 3 | 2024 | 24 | |
| 4 | 2016 | 20 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 13 | |
| 7 | Adversarial prediction games for multivariate losses | 2015 | 12 |
| 8 | 2009 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2001 | 8 | |
| 13 | ALLELOPATHIC EFFECTS OF SEED EXTRACTS OF FOUR WETLAND SPECIES ON SEED GERMINATION AND SEEDLING GROWTH OF Brassica rapa spp. pekinensis, Oryza rufipogon AND Monochoria korsakowii | 2009 | 7 |
| 14 | Adversarial cost-sensitive classification | 2015 | 6 |
| 15 | 2024 | 6 | |
| 16 | 2018 | 5 | |
| 17 | Morphological and anatomical responses of Fraxinus mandshurica seedling roots to different nitrogen concentrations. | 2010 | 5 |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Xing Wei
Xing Wei is a scholar working on Plant Science, Analytical Chemistry, Ecology, Artificial Intelligence and Control and Systems Engineering, having authored 45 papers that have together received 277 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (9 papers), Smart Agriculture and AI (9 papers), Remote Sensing in Agriculture (7 papers), Leaf Properties and Growth Measurement (5 papers), Adversarial Robustness in Machine Learning (4 papers), Machine Learning and Data Classification (4 papers), Adaptive Control of Nonlinear Systems (3 papers) and Stability and Control of Uncertain Systems (3 papers). The work is most often cited by research in Analytical Chemistry (66 citations), Plant Science (135 citations), Horticulture (2 citations), Ecology (51 citations) and Artificial Intelligence (33 citations). Xing Wei has collaborated with scholars based in China and United States. Frequent co-authors include Brian D. Ziebart, Hillary L. Mehl, David B. Langston, Li Song, Bin Liu, Jian Xun Jin, Zhihang Song, Yue Zhao, Meiping Wang and Haixi Zhang. Their work appears in journals such as Computers and Electronics in Agriculture, Remote Sensing, Sensors, Applied Intelligence and Water.
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.