Bin Tan

8.0k citations
59 papers · 5.9k · 1 hit paper · h-index 27

Impact in

Papers in

Bin Tan

57 papers receiving 5.7k citations

Bin Tan's Hit Papers

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets 2009 · 2.7k citations
2.7k0+5+11Years since publication50010001.5k2.0k2.5k

Peers

Bin Tan
Comparison fields: 5 of 111
  • Global and Planetary Change 3.7k
  • Ecological Modeling 727
  • Ecology 3.8k
  • Environmental Engineering 2.1k
  • Atmospheric Science 1.5k
Replace Nazmi Saleous with:
Nazmi Saleous United States
K. F. Huemmrich United States
Gérard Dedieu France
J.C.F. Hodges United States
Jadunandan Dash United Kingdom
Sangram Ganguly United States
Kirsten M. de Beurs United States
J. L. Privette United States
Nadine Gobron Italy
Jesslyn F. Brown United States
Bin Tan relative to Nazmi Saleous United States Nazmi Saleous's profile →
Citations per field
00.5×1.6×
Nazmi Saleous · 1×
Citations per year

Countries citing papers authored by Bin Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Bin Tan Line = papers co-authored together Bin Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Hit paper breakdown →
20092735
2 2010428
3 2006303
4 2012257
5 2006250
6 2010196
7 2008176
8 2005151
9 2006133
10 2007104
11 2013104
12 201391
13 201486
14 201776
15 202070
16 200567
17 201166
18 200551
19 200445
20 200643

About Bin Tan

Bin Tan is a scholar working on Ecology, Global and Planetary Change, Environmental Engineering, Aerospace Engineering and Ecological Modeling, having authored 59 papers that have together received 5.9k 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 (2.1k 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, Xiaoman Huang, Navin Ramankutty, Adam Sibley, 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 IEEE Journal of Selected Topics in Applied Earth Observations 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.

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