Xiaodan Ma
Impact in
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 28
- Leaf Properties and Growth Measurement 15
-
- Atmospheric chemistry and aerosols 17
- Remote Sensing and Land Use 13
- Co-authors
- Haiou Guan (21 shared papers)Song Yu (7 shared papers)Tianliang Zhao (12 shared papers)Jiarui Feng (5 shared papers)Chen Yang (7 shared papers)Gang Liu (4 shared papers)Xiaoyun Sun (10 shared papers)Honghe Li (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (6 papers)Ecological Informatics (6 papers)Atmospheric chemistry and physics (5 papers)Agronomy (4 papers)Remote Sensing (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaodan Ma
78 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Atmospheric Science 362
- Analytical Chemistry 190
- Environmental Engineering 239
- Plant Science 520
- Health, Toxicology and Mutagenesis 181
Countries citing papers authored by Xiaodan Ma
This map shows the geographic impact of Xiaodan Ma'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 Xiaodan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Ma more than expected).
Fields of papers citing papers by Xiaodan Ma
This network shows the impact of papers produced by Xiaodan Ma. 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 Xiaodan Ma. The network helps show where Xiaodan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Ma, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2021 | 76 | |
| 3 | 2022 | 45 | |
| 4 | 2022 | 38 | |
| 5 | 2019 | 38 | |
| 6 | 2014 | 38 | |
| 7 | 2020 | 35 | |
| 8 | 2021 | 34 | |
| 9 | 2023 | 32 | |
| 10 | 2022 | 31 | |
| 11 | 2022 | 31 | |
| 12 | 2023 | 31 | |
| 13 | 2018 | 30 | |
| 14 | 2022 | 30 | |
| 15 | 2024 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2019 | 29 | |
| 18 | 2024 | 28 | |
| 19 | 2021 | 26 | |
| 20 | 2022 | 23 |
About Xiaodan Ma
Xiaodan Ma is a scholar working on Plant Science, Atmospheric Science, Analytical Chemistry, Ecology and Global and Planetary Change, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Agriculture and AI (28 papers), Spectroscopy and Chemometric Analyses (19 papers), Remote Sensing in Agriculture (18 papers), Atmospheric chemistry and aerosols (17 papers), Leaf Properties and Growth Measurement (15 papers), Remote Sensing and Land Use (13 papers), Atmospheric aerosols and clouds (10 papers) and Air Quality and Health Impacts (8 papers). The work is most often cited by research in Atmospheric Science (362 citations), Analytical Chemistry (190 citations), Environmental Engineering (239 citations), Plant Science (520 citations) and Health, Toxicology and Mutagenesis (181 citations). Xiaodan Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haiou Guan, Song Yu, Tianliang Zhao, Jiarui Feng, Chen Yang, Gang Liu, Xiaoyun Sun, Honghe Li, Deliang Wen and Yang Liu. Their work appears in journals such as Computers and Electronics in Agriculture, Ecological Informatics, Atmospheric chemistry and physics, Agronomy and Remote Sensing.
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.