J. Ju
- Global and Planetary Change top 2%
- Atmospheric and Environmental Gas Dynamics 3
- Land Use and Ecosystem Services 1
- Ecology top 5%
- Remote Sensing in Agriculture 4
- Environmental Engineering top 5%
- Ecological Modeling top 10%
- Atmospheric Science top 10%
- Climate change and permafrost 2
- Cryospheric studies and observations 2
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- Calibration and Measurement Techniques 2
- Guidance and Control Systems 1
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- Software Reliability and Analysis Research 1
- Co-authors
- David P. RoyLuigi BoschettiC. O. JusticeV. KovalskyyH.K. ZhangJiangnan LiHaiyan HuangQingsong Sun
- Journals
- Remote Sensing of Environment (4 papers)IEEE Antennas and Propagation Magazine (1 paper)IEEE Transactions on Reliability (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
J. Ju
9 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Global and Planetary Change 761
- Ecology 644
- Environmental Engineering 286
- Ecological Modeling 71
- Atmospheric Science 257
Countries citing papers authored by J. Ju
This map shows the geographic impact of J. Ju'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 J. Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ju more than expected).
Fields of papers citing papers by J. Ju
This network shows the impact of papers produced by J. Ju. 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 J. Ju. The network helps show where J. Ju may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Ju, 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 | 2023 | 6 | |
| 2 | 2018 | 2 | |
| 3 | A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectancebreakdown → | 2016 | 280 |
| 4 | 2013 | 11 | |
| 5 | 2013 | 74 | |
| 6 | 2013 | 146 | |
| 7 | The collection 5 MODIS burned area product — Global evaluation by comparison with the MODIS active fire productbreakdown → | 2008 | 537 |
| 8 | The Availability of Cloud-free Landsat ETM+ Data Over the Conterminous U.S. and Globally | 2007 | 1 |
| 9 | Generating a Long-term Land Data Record from the AVHRR and MODIS Instruments | 2007 | 1 |
About J. Ju
J. Ju is a scholar working on Software, Global and Planetary Change and Atmospheric Science, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Climate change and permafrost (2 papers), Cryospheric studies and observations (2 papers), Calibration and Measurement Techniques (2 papers), Software Reliability and Analysis Research (1 paper), Guidance and Control Systems (1 paper) and Land Use and Ecosystem Services (1 paper). The work is most often cited by research in Global and Planetary Change (761 citations), Ecology (644 citations) and Environmental Engineering (286 citations). J. Ju has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include David P. Roy, Luigi Boschetti, C. O. Justice, V. Kovalskyy, H.K. Zhang, Jiangnan Li, Haiyan Huang, Qingsong Sun, Crystal Schaaf and José Gómez‐Dans. Their work appears in journals such as Remote Sensing of Environment, IEEE Antennas and Propagation Magazine, IEEE Transactions on Reliability, AGU Fall Meeting Abstracts and Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics.
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.