Ye Mu
Impact in
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- Animal Behavior and Welfare Studies
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Smart Agriculture and AI 11
- Date Palm Research Studies 3
- Ecology 7
- Wildlife Ecology and Conservation 4
- Remote Sensing in Agriculture 3
- Co-authors
- Yu Sun (4 shared papers)Tong Zhang (1 shared paper)He Gong (3 shared papers)Shijun Li (3 shared papers)Shijun Li (2 shared papers)Ji Li (3 shared papers)Lili Fu (1 shared paper)Tianli Hu (5 shared papers)
- Journals
- Agronomy (5 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Frontiers in Plant Science (2 papers)Animals (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSouth Africa
In The Last Decade
Ye Mu
24 papers receiving 267 citations
Peers
Comparison fields: 5 of 64
- Small Animals 24
- Media Technology 28
- Plant Science 111
- Analytical Chemistry 28
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Ye Mu
This map shows the geographic impact of Ye Mu'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 Ye Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Mu more than expected).
Fields of papers citing papers by Ye Mu
This network shows the impact of papers produced by Ye Mu. 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 Ye Mu. The network helps show where Ye Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Mu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2022 | 30 | |
| 3 | 2022 | 26 | |
| 4 | 2021 | 24 | |
| 5 | 2023 | 19 | |
| 6 | 2018 | 14 | |
| 7 | 2024 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 3 |
About Ye Mu
Ye Mu is a scholar working on Plant Science, Ecology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Food Science, having authored 28 papers that have together received 277 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Food Supply Chain Traceability (5 papers), Wildlife Ecology and Conservation (4 papers), Advanced Neural Network Applications (4 papers), Remote Sensing in Agriculture (3 papers), Animal Behavior and Welfare Studies (3 papers), Date Palm Research Studies (3 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Small Animals (24 citations), Media Technology (28 citations), Plant Science (111 citations), Analytical Chemistry (28 citations) and Computer Vision and Pattern Recognition (54 citations). Ye Mu has collaborated with scholars based in China and South Africa. Frequent co-authors include Yu Sun, Tong Zhang, He Gong, Shijun Li, Shijun Li, Ji Li, Lili Fu, Tianli Hu, Ji Li and Lin Chen. Their work appears in journals such as Agronomy, Computers, materials & continua/Computers, materials & continua (Print), Frontiers in Plant Science, Animals and PLoS ONE.
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.