Bin Tan
Impact in
- Global and Planetary Change top 0.5%
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change
Papers in
-
- Species Distribution and Climate Change 8
-
- Remote Sensing and LiDAR Applications 13
- Urban Heat Island Mitigation 9
- Co-authors
- M. A. FriedlAnnemarie SchneiderAdam SibleyNavin RamankuttyXiaoman HuangDamien Sulla‐MenasheRanga B. MyneniXiaoyang Zhang
- Journals
- Remote Sensing of Environment (10 papers)IEEE Transactions on Geoscience and Remote Sensing (5 papers)Agricultural and Forest Meteorology (4 papers)Remote Sensing (3 papers)Journal of Geophysical Research Atmospheres (2 papers)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Bin Tan
58 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Global and Planetary Change 3.7k
- Ecological Modeling 727
- Ecology 3.8k
- Environmental Engineering 2.0k
- Atmospheric Science 1.5k
Countries citing papers authored by Bin Tan
This map shows the geographic impact of Bin Tan'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 Bin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Tan more than expected).
Fields of papers citing papers by Bin Tan
This network shows the impact of papers produced by Bin Tan. 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 Bin Tan. The network helps show where Bin Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 69 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 14 | |
| 9 | A Thinking on University Administration Standardization in the New Period | 2016 | 1 |
| 10 | 2016 | 13 | |
| 11 | 2014 | 86 | |
| 12 | Mapping Impervious Surfaces Globally at 30m Resolution Using Global Land Survey Data | 2013 | 1 |
| 13 | 2013 | 18 | |
| 14 | 2012 | 254 | |
| 15 | 2010 | 4 | |
| 16 | 2010 | 20 | |
| 17 | Study on Dynamic Risk Measure of Financial Markets Based on Skew-t-FIAPARCH Model | 2009 | 1 |
| 18 | Study on General Simulation Framework for Effectiveness Evaluation of Weapon Equipment Based on HLA | 2008 | 1 |
| 19 | Design of Open and Networked CNC System Based on Fieldbus | 2008 | 3 |
| 20 | 2007 | 104 |
About Bin Tan
Bin Tan is a scholar working on Ecological Modeling, Environmental Engineering, Ecology, Global and Planetary Change and Media Technology, having authored 61 papers that have together received 5.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (33 papers), Remote Sensing and LiDAR Applications (13 papers), Land Use and Ecosystem Services (12 papers), Calibration and Measurement Techniques (11 papers), Urban Heat Island Mitigation (9 papers), Species Distribution and Climate Change (8 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Leaf Properties and Growth Measurement (7 papers). The work is most often cited by research in Global and Planetary Change (3.7k citations), Ecological Modeling (727 citations), Ecology (3.8k citations), Environmental Engineering (2.0k citations) and Atmospheric Science (1.5k citations). Bin Tan has collaborated with scholars based in United States, China and Finland. Frequent co-authors include M. A. Friedl, Annemarie Schneider, Adam Sibley, Navin Ramankutty, Xiaoman Huang, Damien Sulla‐Menashe, Ranga B. Myneni, Xiaoyang Zhang, Dong Huang and Yuri Knyazikhin. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, Agricultural and Forest Meteorology, Remote Sensing and Journal of Geophysical Research Atmospheres.
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.