Jiating Li
Impact in
- Ecology top 5%
- Remote Sensing in Agriculture
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
- Ecology 13
- Remote Sensing in Agriculture 13
-
- Smart Agriculture and AI 6
- Leaf Properties and Growth Measurement 6
- Co-authors
- Yeyin Shi (17 shared papers)Yufeng Ge (12 shared papers)Daniel P. Schachtman (2 shared papers)Joe D. Luck (1 shared paper)Amit J. Jhala (1 shared paper)Stephen Scott (1 shared paper)Eric Psota (1 shared paper)Arun N. Sivakumar (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (2 papers)Applied Surface Science (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jiating Li
44 papers receiving 871 citations
Peers
Comparison fields: 5 of 119
- Ecology 301
- Environmental Engineering 141
- Analytical Chemistry 89
- Plant Science 335
- Electrochemistry 28
Countries citing papers authored by Jiating Li
This map shows the geographic impact of Jiating Li'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 Jiating Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiating Li more than expected).
Fields of papers citing papers by Jiating Li
This network shows the impact of papers produced by Jiating Li. 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 Jiating Li. The network helps show where Jiating Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiating Li, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 146 | |
| 2 | 2018 | 90 | |
| 3 | 2018 | 75 | |
| 4 | 2021 | 51 | |
| 5 | 2017 | 50 | |
| 6 | 2019 | 37 | |
| 7 | 2019 | 35 | |
| 8 | 2024 | 33 | |
| 9 | 2022 | 33 | |
| 10 | 2019 | 32 | |
| 11 | 2023 | 31 | |
| 12 | 2021 | 30 | |
| 13 | 2023 | 29 | |
| 14 | 2020 | 22 | |
| 15 | 2018 | 17 | |
| 16 | 2017 | 17 | |
| 17 | 2024 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2023 | 13 |
About Jiating Li
Jiating Li is a scholar working on Ecology, Plant Science, Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology, having authored 46 papers that have together received 890 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (13 papers), Perovskite Materials and Applications (6 papers), Smart Agriculture and AI (6 papers), Leaf Properties and Growth Measurement (6 papers), Spectroscopy and Chemometric Analyses (4 papers), Remote Sensing and LiDAR Applications (4 papers), Land Use and Ecosystem Services (3 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Ecology (301 citations), Environmental Engineering (141 citations), Analytical Chemistry (89 citations), Plant Science (335 citations) and Electrochemistry (28 citations). Jiating Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yeyin Shi, Yufeng Ge, Daniel P. Schachtman, Joe D. Luck, Amit J. Jhala, Stephen Scott, Eric Psota, Arun N. Sivakumar, Madhav Bhatta and P. Stephen Baenziger. Their work appears in journals such as Computers and Electronics in Agriculture, Applied Surface Science, Frontiers in Cell and Developmental Biology, Nature Communications and Agronomy.
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.