Jiaming Na
Impact in
- Soil Science top 5%
- Soil erosion and sediment transport
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote Sensing and LiDAR Applications 18
- Soil Science 19
- Soil erosion and sediment transport 19
- Co-authors
- Guoan Tang (21 shared papers)Xin Yang (13 shared papers)Hu Ding (17 shared papers)Liyang Xiong (9 shared papers)Kai Liu (8 shared papers)Xiaoli Huang (4 shared papers)Jie Zhu (6 shared papers)Wen Dai (4 shared papers)
- Journals
- Remote Sensing (11 papers)ISPRS International Journal of Geo-Information (8 papers)Transactions in GIS (4 papers)Earth Surface Processes and Landforms (3 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)
- Partner nations
- ChinaAustriaUnited Kingdom
In The Last Decade
Jiaming Na
53 papers receiving 799 citations
Peers
Comparison fields: 5 of 106
- Soil Science 311
- Environmental Engineering 319
- Management, Monitoring, Policy and Law 157
- Media Technology 77
- Space and Planetary Science 11
Countries citing papers authored by Jiaming Na
This map shows the geographic impact of Jiaming Na'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 Jiaming Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Na more than expected).
Fields of papers citing papers by Jiaming Na
This network shows the impact of papers produced by Jiaming Na. 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 Jiaming Na. The network helps show where Jiaming Na may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Na, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2019 | 60 | |
| 3 | 2021 | 60 | |
| 4 | 2016 | 52 | |
| 5 | 2017 | 42 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 28 | |
| 8 | 2021 | 27 | |
| 9 | 2017 | 27 | |
| 10 | 2020 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 22 | |
| 13 | 2019 | 22 | |
| 14 | 2024 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2023 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2022 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2024 | 15 |
About Jiaming Na
Jiaming Na is a scholar working on Environmental Engineering, Soil Science, Ecology, Global and Planetary Change and Water Science and Technology, having authored 60 papers that have together received 817 indexed citations. Recurring topics across this work include Soil erosion and sediment transport (19 papers), Remote Sensing and LiDAR Applications (18 papers), Hydrology and Watershed Management Studies (11 papers), Land Use and Ecosystem Services (10 papers), Remote Sensing in Agriculture (10 papers), Hydrology and Sediment Transport Processes (7 papers), Remote Sensing and Land Use (5 papers) and Landslides and related hazards (5 papers). The work is most often cited by research in Soil Science (311 citations), Environmental Engineering (319 citations), Management, Monitoring, Policy and Law (157 citations), Media Technology (77 citations) and Space and Planetary Science (11 citations). Jiaming Na has collaborated with scholars based in China, Austria and United Kingdom. Frequent co-authors include Guoan Tang, Xin Yang, Hu Ding, Liyang Xiong, Kai Liu, Xiaoli Huang, Jie Zhu, Wen Dai, Fei Tao and Junjie Wu. Their work appears in journals such as Remote Sensing, ISPRS International Journal of Geo-Information, Transactions in GIS, Earth Surface Processes and Landforms and IEEE Geoscience and Remote Sensing Letters.
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.