Lanfa Liu
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Environmental Engineering top 5%
- Soil Geostatistics and Mapping
Papers in
-
- Soil Geostatistics and Mapping 7
- Co-authors
- Manfred F. Buchroithner (7 shared papers)Min Ji (7 shared papers)Ana‐Maria Olteanu‐Raimond (4 shared papers)Yunyun Dong (3 shared papers)Haoran He (1 shared paper)Linchuan Fang (1 shared paper)Jordi Sardans (1 shared paper)Wenfeng Tan (1 shared paper)
In The Last Decade
Lanfa Liu
24 papers receiving 666 citations
Lanfa Liu's Hit Papers
Peers
Comparison fields: 5 of 86
- Media Technology 168
- Environmental Engineering 170
- Soil Science 99
- Analytical Chemistry 73
- Atmospheric Science 110
Countries citing papers authored by Lanfa Liu
This map shows the geographic impact of Lanfa Liu'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 Lanfa Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanfa Liu more than expected).
Fields of papers citing papers by Lanfa Liu
This network shows the impact of papers produced by Lanfa Liu. 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 Lanfa Liu. The network helps show where Lanfa Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanfa Liu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crop residue return sustains global soil ecological stoichiometry balance Hit paper breakdown → | 2023 | 116 |
| 2 | 2018 | 114 | |
| 3 | 2018 | 78 | |
| 4 | 2019 | 76 | |
| 5 | 2022 | 49 | |
| 6 | 2017 | 49 | |
| 7 | 2019 | 35 | |
| 8 | 2016 | 26 | |
| 9 | 2020 | 26 | |
| 10 | 2023 | 26 | |
| 11 | 2021 | 23 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 11 | |
| 14 | 2018 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 1 |
About Lanfa Liu
Lanfa Liu is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition, Media Technology, Atmospheric Science and Artificial Intelligence, having authored 27 papers that have together received 682 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (7 papers), Land Use and Ecosystem Services (6 papers), Remote-Sensing Image Classification (6 papers), Remote Sensing and Land Use (6 papers), Geochemistry and Geologic Mapping (5 papers), 3D Surveying and Cultural Heritage (4 papers), Robotics and Sensor-Based Localization (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Media Technology (168 citations), Environmental Engineering (170 citations), Soil Science (99 citations), Analytical Chemistry (73 citations) and Atmospheric Science (110 citations). Lanfa Liu has collaborated with scholars based in China, Germany and France. Frequent co-authors include Manfred F. Buchroithner, Min Ji, Ana‐Maria Olteanu‐Raimond, Yunyun Dong, Haoran He, Linchuan Fang, Jordi Sardans, Wenfeng Tan, Qingliang Cui and Tianyi Qiu. Their work appears in journals such as Remote Sensing, ISPRS International Journal of Geo-Information, Sensors, Computers Environment and Urban Systems and Ecological Indicators.
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.