S. Geng
Impact in
- Plant Science top 10%
- Rice Cultivation and Yield Improvement
- Smart Agriculture and AI
- GABA and Rice Research
- Powdery Mildew Fungal Diseases
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Rice Cultivation and Yield Improvement 7
- Powdery Mildew Fungal Diseases 3
- Plant Pathogens and Resistance 3
- GABA and Rice Research 2
-
- Remote-Sensing Image Classification 3
- Advanced Image Fusion Techniques 3
- Co-authors
- Sakda Jongkaewwattana (5 shared papers)Jiang Zhu (1 shared paper)M. L. Peterson (1 shared paper)D. Breese Jones (1 shared paper)David M. Rizzo (2 shared papers)W. D. Gubler (2 shared papers)James Hill (1 shared paper)Baird C. Miller (1 shared paper)
- Journals
- Journal of Agronomy and Crop Science (4 papers)International Journal of Remote Sensing (2 papers)Crop Science (2 papers)Applied Sciences (1 paper)Biocontrol Science and Technology (1 paper)
- Partner nations
- United StatesChinaThailand
In The Last Decade
S. Geng
14 papers receiving 305 citations
Peers
Comparison fields: 5 of 46
- Plant Science 286
- Analytical Chemistry 55
- Agronomy and Crop Science 55
- Cell Biology 45
- Ecology, Evolution, Behavior and Systematics 45
Countries citing papers authored by S. Geng
This map shows the geographic impact of S. Geng'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 S. Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Geng more than expected).
Fields of papers citing papers by S. Geng
This network shows the impact of papers produced by S. Geng. 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 S. Geng. The network helps show where S. Geng may publish in the future.
Co-authors
The 16 scholars most cited alongside S. Geng, 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 | 2008 | 91 | |
| 2 | 1979 | 60 | |
| 3 | 2003 | 41 | |
| 4 | 2001 | 34 | |
| 5 | 2004 | 32 | |
| 6 | 1993 | 23 | |
| 7 | Harvest moisture effects on rice milling quality | 1984 | 14 |
| 8 | 2002 | 11 | |
| 9 | 1991 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 1991 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2007 | 3 | |
| 14 | 2023 | 2 |
About S. Geng
S. Geng is a scholar working on Plant Science, Media Technology, Agronomy and Crop Science, Cell Biology and Nutrition and Dietetics, having authored 14 papers that have together received 337 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (7 papers), Remote-Sensing Image Classification (3 papers), Powdery Mildew Fungal Diseases (3 papers), Advanced Image Fusion Techniques (3 papers), Plant Pathogens and Resistance (3 papers), Plant Pathogens and Fungal Diseases (2 papers), GABA and Rice Research (2 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Plant Science (286 citations), Analytical Chemistry (55 citations), Agronomy and Crop Science (55 citations), Cell Biology (45 citations) and Ecology, Evolution, Behavior and Systematics (45 citations). S. Geng has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Sakda Jongkaewwattana, Jiang Zhu, M. L. Peterson, D. Breese Jones, David M. Rizzo, W. D. Gubler, James Hill, Baird C. Miller, Hongmin Gao and Pengfei Xu. Their work appears in journals such as Journal of Agronomy and Crop Science, International Journal of Remote Sensing, Crop Science, Applied Sciences and Biocontrol Science and Technology.
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.