Ning Lu
Impact in
- Ecology top 5%
- Remote Sensing in Agriculture
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
Papers in
-
- Remote Sensing and LiDAR Applications 14
- Urban Heat Island Mitigation 5
- Ecology 24
- Remote Sensing in Agriculture 22
- Co-authors
- Weili Kou (18 shared papers)Weiheng Xu (20 shared papers)Leiguang Wang (15 shared papers)Shaodong Huang (4 shared papers)Xiong Yuan (4 shared papers)Chao Wu (3 shared papers)Weixing Cao (5 shared papers)Tao Cheng (5 shared papers)
- Journals
- Ecological Indicators (6 papers)Forests (4 papers)Drones (3 papers)Geocarto International (3 papers)Remote Sensing (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ning Lu
36 papers receiving 1.0k citations
Ning Lu's Hit Papers
Peers
Comparison fields: 5 of 72
- Ecology 625
- Environmental Engineering 350
- Global and Planetary Change 443
- Atmospheric Science 176
- Analytical Chemistry 66
Countries citing papers authored by Ning Lu
This map shows the geographic impact of Ning Lu'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 Ning Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Lu more than expected).
Fields of papers citing papers by Ning Lu
This network shows the impact of papers produced by Ning Lu. 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 Ning Lu. The network helps show where Ning Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Lu, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assessment of spatial–temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China Hit paper breakdown → | 2021 | 282 |
| 2 | 2019 | 189 | |
| 3 | 2017 | 87 | |
| 4 | 2019 | 78 | |
| 5 | 2022 | 54 | |
| 6 | 2018 | 38 | |
| 7 | 2020 | 29 | |
| 8 | 2023 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2014 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2025 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2018 | 9 |
About Ning Lu
Ning Lu is a scholar working on Environmental Engineering, Ecology, Global and Planetary Change, Atmospheric Science and Media Technology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (14 papers), Land Use and Ecosystem Services (11 papers), Leaf Properties and Growth Measurement (5 papers), Remote Sensing and Land Use (5 papers), Urban Heat Island Mitigation (5 papers), Remote-Sensing Image Classification (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Ecology (625 citations), Environmental Engineering (350 citations), Global and Planetary Change (443 citations), Atmospheric Science (176 citations) and Analytical Chemistry (66 citations). Ning Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weili Kou, Weiheng Xu, Leiguang Wang, Shaodong Huang, Xiong Yuan, Chao Wu, Weixing Cao, Tao Cheng, Yan Peng Zhu and Fei Dai. Their work appears in journals such as Ecological Indicators, Forests, Drones, Geocarto International 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.