Pan Gao
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Biophysics top 2%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Smart Agriculture and AI 18
- Leaf Properties and Growth Measurement 7
-
- Spectroscopy and Chemometric Analyses 23
- Co-authors
- Chu Zhang (16 shared papers)Tianying Yan (14 shared papers)Yong He (9 shared papers)Wei Xu (9 shared papers)Susu Zhu (3 shared papers)Lei Feng (5 shared papers)Lei Zhou (4 shared papers)Qinlin Xiao (6 shared papers)
- Journals
- Frontiers in Plant Science (8 papers)Foods (6 papers)Agronomy (3 papers)Molecules (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pan Gao
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Analytical Chemistry 577
- Biophysics 140
- Industrial and Manufacturing Engineering 113
- Plant Science 484
- Ecology 171
Countries citing papers authored by Pan Gao
This map shows the geographic impact of Pan Gao'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 Pan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Gao more than expected).
Fields of papers citing papers by Pan Gao
This network shows the impact of papers produced by Pan Gao. 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 Pan Gao. The network helps show where Pan Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Gao, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2022 | 82 | |
| 3 | 2019 | 80 | |
| 4 | 2020 | 71 | |
| 5 | 2021 | 69 | |
| 6 | 2022 | 57 | |
| 7 | 2021 | 50 | |
| 8 | 2022 | 43 | |
| 9 | 2018 | 43 | |
| 10 | 2018 | 42 | |
| 11 | 2013 | 41 | |
| 12 | 2023 | 38 | |
| 13 | 2020 | 35 | |
| 14 | 2022 | 33 | |
| 15 | 2018 | 32 | |
| 16 | 2021 | 31 | |
| 17 | 2019 | 30 | |
| 18 | 2023 | 29 | |
| 19 | 2024 | 27 | |
| 20 | 2023 | 26 |
About Pan Gao
Pan Gao is a scholar working on Plant Science, Analytical Chemistry, Ecology, Biomedical Engineering and Environmental Engineering, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (23 papers), Smart Agriculture and AI (18 papers), Remote Sensing in Agriculture (15 papers), Leaf Properties and Growth Measurement (7 papers), Advanced Chemical Sensor Technologies (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Soil and Land Suitability Analysis (3 papers) and Water Quality Monitoring and Analysis (3 papers). The work is most often cited by research in Analytical Chemistry (577 citations), Biophysics (140 citations), Industrial and Manufacturing Engineering (113 citations), Plant Science (484 citations) and Ecology (171 citations). Pan Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chu Zhang, Tianying Yan, Yong He, Wei Xu, Susu Zhu, Lei Feng, Lei Zhou, Qinlin Xiao, Yue Xie and Chun Zhang. Their work appears in journals such as Frontiers in Plant Science, Foods, Agronomy, Molecules 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.