Duoying Ji

7.3k total citations · 2 hit papers
66 papers, 3.0k citations indexed

About

Duoying Ji is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Duoying Ji has authored 66 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Global and Planetary Change, 44 papers in Atmospheric Science and 7 papers in Environmental Engineering. Recurrent topics in Duoying Ji's work include Atmospheric and Environmental Gas Dynamics (30 papers), Climate Change and Geoengineering (27 papers) and Climate variability and models (23 papers). Duoying Ji is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (30 papers), Climate Change and Geoengineering (27 papers) and Climate variability and models (23 papers). Duoying Ji collaborates with scholars based in China, United States and United Kingdom. Duoying Ji's co-authors include John C. Moore, Yongjiu Dai, Ben Kravitz, Hua Yuan, Wei Shangguan, Qingyun Duan, Zhiqiang Xiao, Shingo Watanabe, Helene Muri and Chiyuan Miao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Duoying Ji

64 papers receiving 3.0k citations

Hit Papers

The Art and Science of Climate Model Tuning 2016 2026 2019 2022 2016 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Duoying Ji China 27 2.3k 1.7k 282 267 244 66 3.0k
Mathias Hauser Switzerland 24 2.0k 0.9× 1.1k 0.7× 161 0.6× 362 1.4× 246 1.0× 49 2.7k
Imke Durre United States 22 3.2k 1.4× 2.7k 1.6× 247 0.9× 455 1.7× 285 1.2× 37 4.4k
Manola Brunet Spain 23 1.9k 0.8× 1.4k 0.8× 146 0.5× 180 0.7× 155 0.6× 62 2.4k
Maria A. F. Silva Dias Brazil 34 2.9k 1.3× 2.5k 1.5× 344 1.2× 269 1.0× 301 1.2× 71 3.6k
Luiz A. T. Machado Brazil 32 2.9k 1.3× 2.7k 1.6× 173 0.6× 303 1.1× 257 1.1× 132 3.7k
Amato T. Evan United States 30 3.5k 1.5× 2.9k 1.7× 205 0.7× 268 1.0× 647 2.7× 57 4.7k
John W. Nielsen‐Gammon United States 31 3.1k 1.4× 3.0k 1.8× 433 1.5× 732 2.7× 136 0.6× 89 4.1k
Thomas J. Phillips United States 27 3.4k 1.5× 2.3k 1.4× 139 0.5× 417 1.6× 319 1.3× 46 4.2k
Mark McCarthy United Kingdom 26 1.8k 0.8× 1.1k 0.7× 582 2.1× 725 2.7× 203 0.8× 57 2.9k
Andrew Dowdy Australia 35 3.3k 1.4× 2.0k 1.2× 155 0.5× 215 0.8× 424 1.7× 105 4.0k

Countries citing papers authored by Duoying Ji

Since Specialization
Citations

This map shows the geographic impact of Duoying Ji'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 Duoying Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duoying Ji more than expected).

Fields of papers citing papers by Duoying Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duoying Ji. 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 Duoying Ji. The network helps show where Duoying Ji may publish in the future.

Co-authorship network of co-authors of Duoying Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Duoying Ji. A scholar is included among the top collaborators of Duoying Ji 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 Duoying Ji. Duoying Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hou, Zhengyang, Liqiang Zhang, Jingjing Peng, et al.. (2025). Radiative forcing reduced by early twenty-first century increase in land albedo. Nature. 641(8065). 1162–1171. 3 indexed citations
3.
Ji, Duoying, et al.. (2025). Permafrost Response in Northern High‐Latitude Regions to 1.5°C Warming and Overshoot Scenarios Achieved via Solar Radiation Modification. Journal of Geophysical Research Atmospheres. 130(2). 1 indexed citations
4.
Moore, John C., et al.. (2024). Simulated responses and feedbacks of permafrost carbon under future emissions pathways and idealized solar geoengineering scenarios. Environmental Research Letters. 19(2). 24050–24050. 3 indexed citations
5.
Ji, Duoying, Qian Zhang, John C. Moore, et al.. (2023). Northern-high-latitude permafrost and terrestrial carbon response to two solar geoengineering scenarios. Earth System Dynamics. 14(1). 55–79. 15 indexed citations
6.
Chen, Yan, et al.. (2022). Observational Constraint on the Contribution of Surface Albedo Feedback to the Amplified Tibetan Plateau Surface Warming. Journal of Geophysical Research Atmospheres. 127(13). 6 indexed citations
7.
Qi, Xin, Jing Yang, Yongkang Xue, et al.. (2022). Subseasonal Warming of Surface Soil Enhances Precipitation Over the Eastern Tibetan Plateau in Early Summer. Journal of Geophysical Research Atmospheres. 127(23). 7 indexed citations
8.
Andresen, Christian, David M. Lawrence, Cathy J. Wilson, et al.. (2020). Soil moisture and hydrology projections of the permafrost region – a model intercomparison. ˜The œcryosphere. 14(2). 445–459. 114 indexed citations
9.
Xue, Wenhao, et al.. (2019). Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China. The Science of The Total Environment. 712. 134577–134577. 64 indexed citations
10.
Stjern, Camilla W., Helene Muri, L. Ahlm, et al.. (2018). Response to marine cloud brightening in a multi-model ensemble. Atmospheric chemistry and physics. 18(2). 621–634. 46 indexed citations
11.
Keller, David P., Andrew Lenton, Vivian Scott, et al.. (2018). The Carbon Dioxide Removal Model Intercomparison Project (CDRMIP): rationale and experimental protocol for CMIP6. Geoscientific model development. 11(3). 1133–1160. 155 indexed citations
12.
Ji, Duoying, et al.. (2018). Global streamflow and flood response to stratospheric aerosol geoengineering. Atmospheric chemistry and physics. 18(21). 16033–16050. 20 indexed citations
13.
Ji, Duoying, Charles L. Curry, Hiroki Kashimura, et al.. (2018). Extreme temperature and precipitation response to solar dimming and stratospheric aerosol geoengineering. Atmospheric chemistry and physics. 18(14). 10133–10156. 47 indexed citations
14.
Kravitz, Ben, Philip J. Rasch, Hailong Wang, et al.. (2018). The climate effects of increasing ocean albedo: an idealized representation of solar geoengineering. Atmospheric chemistry and physics. 18(17). 13097–13113. 22 indexed citations
15.
Ji, Duoying, et al.. (2018). Global streamflow and flood response to stratospheric aerosol geoengineering. Biogeosciences (European Geosciences Union). 3 indexed citations
16.
Keller, David P., Andrew Lenton, Vivian Scott, et al.. (2017). The Carbon Dioxide Removal Model Intercomparison Project (CDR-MIP): Rationale and experimental design. Edinburgh Research Explorer (University of Edinburgh). 9 indexed citations
17.
Zhao, Liyun, et al.. (2017). Glacier evolution in high-mountain Asia under stratospheric sulfate aerosol injection geoengineering. Atmospheric chemistry and physics. 17(11). 6547–6564. 20 indexed citations
18.
Rinke, Annette, John C. Moore, Xuefeng Cui, et al.. (2016). Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area. ˜The œcryosphere. 10(1). 287–306. 33 indexed citations
19.
Ji, Duoying, et al.. (2014). Basic Evaluation of Beijing Normal University Earth System Model (BNU-ESM) Version 1. AGU Fall Meeting Abstracts. 2014. 4 indexed citations
20.
Ji, Duoying, L. Wang, Juan Feng, et al.. (2014). Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1. Geoscientific model development. 7(5). 2039–2064. 211 indexed citations

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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