Junye Chen
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Oceanography top 5%
- Water Science and Technology top 10%
- Environmental Engineering top 10%
- Co-authors
- Michael G. BosilovichFranklin R. RobertsonAnthony D. Del GenioBarbara E. CarlsonRobert F. AdlerYunyan ZhangXiquan DongShaocheng Xie
- Topics
- Meteorological Phenomena and Simulations (12 papers)Climate variability and models (10 papers)Atmospheric Ozone and Climate (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Junye Chen
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Global and Planetary Change 1.1k
- Atmospheric Science 984
- Oceanography 225
- Water Science and Technology 105
- Environmental Engineering 76
Countries citing papers authored by Junye Chen
This map shows the geographic impact of Junye Chen'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 Junye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junye Chen more than expected).
Fields of papers citing papers by Junye Chen
This network shows the impact of papers produced by Junye Chen. 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 Junye Chen. The network helps show where Junye Chen may publish in the future.
Co-authorship network of co-authors of Junye Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Junye Chen. A scholar is included among the top collaborators of Junye Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junye Chen. Junye Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | Metop-C AMSU-A and AVHRR Sensor Data Recorder (SDR) Data Calibration/Validation (CalVal): Status & Prospective | 0 |
| 14 | 102 | |
| 15 | 72 | |
| 16 | 227 | |
| 17 | A Comparison of MERRA and NARR Reanalysis Datasets with the DOE ARM SGP Continuous Forcing data | 5 |
| 18 | 89 | |
| 19 | 337 | |
| 20 | 18 |
About Junye Chen
Junye Chen is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Graphics and Computer-Aided Design, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Atmospheric Ozone and Climate (5 papers). The work is most often cited by research in Atmospheric Science (984 citations), Global and Planetary Change (1.1k citations) and Oceanography (225 citations). Junye Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael G. Bosilovich, Franklin R. Robertson, Anthony D. Del Genio, Barbara E. Carlson, Robert F. Adler, Yunyan Zhang, Xiquan Dong, Shaocheng Xie, Aaron Kennedy and Baike Xi. Their work appears in journals such as Science, Journal of Climate and Electrochimica Acta.
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.