Junbang Wang
- Global and Planetary Change top 1%
- Plant Water Relations and Carbon Dynamics 30
- Land Use and Ecosystem Services 22
- Climate variability and models 15
- Atmospheric and Environmental Gas Dynamics 12
- Ecology top 2%
- Remote Sensing in Agriculture 35
- Ecological Modeling top 5%
- Atmospheric Science top 5%
- Cryospheric studies and observations 7
- Water Science and Technology top 5%
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- Rangeland Management and Livestock Ecology 10
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- Ecology and Vegetation Dynamics Studies 6
- Journals
- Ecological Indicators (9 papers)Remote Sensing (8 papers)International Journal of Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junbang Wang
98 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Global and Planetary Change 1.5k
- Ecology 894
- Ecological Modeling 125
- Atmospheric Science 492
- Water Science and Technology 349
Countries citing papers authored by Junbang Wang
This map shows the geographic impact of Junbang Wang'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 Junbang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbang Wang more than expected).
Fields of papers citing papers by Junbang Wang
This network shows the impact of papers produced by Junbang Wang. 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 Junbang Wang. The network helps show where Junbang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junbang Wang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | Biodiversity conservation in the context of climate change: Facing challenges and management strategiesbreakdown → | 2024 | 47 |
| 6 | 2023 | 0 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 38 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 185 | |
| 14 | 2018 | 42 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 93 | |
| 17 | 2017 | 15 | |
| 18 | 2015 | 111 | |
| 19 | 2014 | 63 | |
| 20 | 2013 | 1 |
About Junbang Wang
Junbang Wang is a scholar working on Global and Planetary Change, Ecology, Ecological Modeling, Atmospheric Science and Management, Monitoring, Policy and Law, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (35 papers), Plant Water Relations and Carbon Dynamics (30 papers), Land Use and Ecosystem Services (22 papers), Climate variability and models (15 papers), Atmospheric and Environmental Gas Dynamics (12 papers), Rangeland Management and Livestock Ecology (10 papers), Cryospheric studies and observations (7 papers) and Ecology and Vegetation Dynamics Studies (6 papers). The work is most often cited by research in Global and Planetary Change (1.5k citations), Ecology (894 citations), Ecological Modeling (125 citations), Atmospheric Science (492 citations) and Water Science and Technology (349 citations). Junbang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiangwen Fan, Shaoqiang Wang, Quanqin Shao, Jiyuan Liu, Jinwei Dong, Shuhua Qi, W. Harris, Xinliang Xu, Zheng Niu and Changyao Wang. Their work appears in journals such as Ecological Indicators, Remote Sensing, International Journal of Remote Sensing, The Science of The Total Environment and Journal of Environmental Management.
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.