Xiaomei Yi
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
-
- Meat and Animal Product Quality
Papers in
-
- Smart Agriculture and AI 10
-
- Advanced Chemical Sensor Technologies 7
- Co-authors
- Lufeng Mo (20 shared papers)Guohua Hui (9 shared papers)Guoying Wang (10 shared papers)Xiaoping Wu (5 shared papers)Yuanyuan Gao (8 shared papers)Siyang Wang (3 shared papers)Haonan Zheng (3 shared papers)Guoying Wang (2 shared papers)
- Journals
- International Journal of Food Properties (6 papers)Forests (3 papers)Agronomy (3 papers)Sensors (3 papers)Food Analytical Methods (2 papers)
- Partner nations
- China
In The Last Decade
Xiaomei Yi
40 papers receiving 293 citations
Peers
Comparison fields: 5 of 81
- Analytical Chemistry 45
- Animal Science and Zoology 31
- Media Technology 26
- Environmental Engineering 38
- Developmental Biology 5
Countries citing papers authored by Xiaomei Yi
This map shows the geographic impact of Xiaomei Yi'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 Xiaomei Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Yi more than expected).
Fields of papers citing papers by Xiaomei Yi
This network shows the impact of papers produced by Xiaomei Yi. 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 Xiaomei Yi. The network helps show where Xiaomei Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomei Yi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 28 | |
| 2 | 2019 | 23 | |
| 3 | 2022 | 17 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 6 |
About Xiaomei Yi
Xiaomei Yi is a scholar working on Plant Science, Biomedical Engineering, Environmental Engineering, Ecology and Electrical and Electronic Engineering, having authored 40 papers that have together received 306 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Advanced Chemical Sensor Technologies (7 papers), Remote Sensing and LiDAR Applications (5 papers), Remote Sensing in Agriculture (5 papers), Remote Sensing and Land Use (4 papers), Meat and Animal Product Quality (4 papers), Electrochemical sensors and biosensors (3 papers) and Insect Pheromone Research and Control (3 papers). The work is most often cited by research in Analytical Chemistry (45 citations), Animal Science and Zoology (31 citations), Media Technology (26 citations), Environmental Engineering (38 citations) and Developmental Biology (5 citations). Xiaomei Yi has collaborated with scholars based in China. Frequent co-authors include Lufeng Mo, Guohua Hui, Guoying Wang, Xiaoping Wu, Yuanyuan Gao, Siyang Wang, Haonan Zheng, Guoying Wang, Huimin Zhou and Junjie Fu. Their work appears in journals such as International Journal of Food Properties, Forests, Agronomy, Sensors and Food Analytical 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.