Ming‐Hsin Lai
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Rice Cultivation and Yield Improvement
- Plant Stress Responses and Tolerance
- Plant responses to water stress
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
-
- Plant Pathogens and Fungal Diseases
Papers in
-
- Smart Agriculture and AI 6
- Plant Molecular Biology Research 3
- Plant Stress Responses and Tolerance 2
- Ecology 6
- Remote Sensing in Agriculture 6
- Co-authors
- Dong‐Hong Wu (11 shared papers)Chin-Ying Yang (6 shared papers)Ming‐Der Yang (6 shared papers)Yu‐Chun Hsu (4 shared papers)Men-Chi Chang (3 shared papers)Hsin-Hung Tseng (2 shared papers)Hung‐Chi Chen (2 shared papers)Wei-Cheng Tseng (3 shared papers)
- Journals
- Rice (4 papers)Botanical studies (3 papers)PLoS ONE (2 papers)Sensors (2 papers)Phytopathology (2 papers)
- Partner nations
- TaiwanPhilippinesUnited States
In The Last Decade
Ming‐Hsin Lai
24 papers receiving 383 citations
Peers
Comparison fields: 5 of 56
- Plant Science 291
- Cell Biology 54
- Ecology 64
- Analytical Chemistry 22
- Environmental Engineering 32
Countries citing papers authored by Ming‐Hsin Lai
This map shows the geographic impact of Ming‐Hsin Lai'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 Ming‐Hsin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Hsin Lai more than expected).
Fields of papers citing papers by Ming‐Hsin Lai
This network shows the impact of papers produced by Ming‐Hsin Lai. 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 Ming‐Hsin Lai. The network helps show where Ming‐Hsin Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Hsin Lai, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 50 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 28 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2016 | 24 | |
| 7 | 2020 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2024 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2016 | 6 |
About Ming‐Hsin Lai
Ming‐Hsin Lai is a scholar working on Plant Science, Ecology, Molecular Biology, Cell Biology and Genetics, having authored 24 papers that have together received 387 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (6 papers), Smart Agriculture and AI (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Plant Molecular Biology Research (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant Reproductive Biology (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Plant Science (291 citations), Cell Biology (54 citations), Ecology (64 citations), Analytical Chemistry (22 citations) and Environmental Engineering (32 citations). Ming‐Hsin Lai has collaborated with scholars based in Taiwan, Philippines and United States. Frequent co-authors include Dong‐Hong Wu, Chin-Ying Yang, Ming‐Der Yang, Yu‐Chun Hsu, Men-Chi Chang, Hsin-Hung Tseng, Hung‐Chi Chen, Wei-Cheng Tseng, Chia‐Lin Chung and Szu‐Yu Chen. Their work appears in journals such as Rice, Botanical studies, PLoS ONE, Sensors and Phytopathology.
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.