Xiaoping Hu
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant-Microbe Interactions and Immunity
Papers in
-
- Plant-Microbe Interactions and Immunity 3
- Wheat and Barley Genetics and Pathology 2
- Smart Agriculture and AI 2
- Seed Germination and Physiology 1
- Ecology 3
- Remote Sensing in Agriculture 2
- Co-authors
- Cunjia Liu (2 shared papers)Lei Guo (2 shared papers)Matthew Coombes (1 shared paper)Qingdong Li (1 shared paper)Conghao Wang (1 shared paper)Jinya Su (1 shared paper)Yan Chen (1 shared paper)Steven J. Klosterman (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (2 papers)Journal of Proteomics (1 paper)Physiological and Molecular Plant Pathology (1 paper)Molecular Plant Pathology (1 paper)Journal of Virological Methods (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoping Hu
7 papers receiving 357 citations
Peers
Comparison fields: 5 of 52
- Analytical Chemistry 82
- Plant Science 285
- Ecology 195
- Environmental Engineering 80
- Ecological Modeling 10
Countries citing papers authored by Xiaoping Hu
This map shows the geographic impact of Xiaoping Hu'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 Xiaoping Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Hu more than expected).
Fields of papers citing papers by Xiaoping Hu
This network shows the impact of papers produced by Xiaoping Hu. 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 Xiaoping Hu. The network helps show where Xiaoping Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Hu, 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 | 2018 | 215 | |
| 2 | 2019 | 78 | |
| 3 | 2019 | 37 | |
| 4 | 2013 | 19 | |
| 5 | 2017 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2016 | 2 |
About Xiaoping Hu
Xiaoping Hu is a scholar working on Plant Science, Ecology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Atmospheric Science, having authored 7 papers that have together received 361 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (3 papers), Remote Sensing in Agriculture (2 papers), Wheat and Barley Genetics and Pathology (2 papers), Smart Agriculture and AI (2 papers), Seed Germination and Physiology (1 paper), Plant and Fungal Interactions Research (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Analytical Chemistry (82 citations), Plant Science (285 citations), Ecology (195 citations), Environmental Engineering (80 citations) and Ecological Modeling (10 citations). Xiaoping Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cunjia Liu, Lei Guo, Matthew Coombes, Qingdong Li, Conghao Wang, Jinya Su, Yan Chen, Steven J. Klosterman, Michelle Salemi and Christopher M. Wallis. Their work appears in journals such as Computers and Electronics in Agriculture, Journal of Proteomics, Physiological and Molecular Plant Pathology, Molecular Plant Pathology and Journal of Virological Methods.
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.