Duoying Ji

7.3k citations
66 papers · 3.0k indexed · 2 hit papers · h-index 27
Topics
Atmospheric and Environmental Gas Dynamics (30 papers)Climate Change and Geoengineering (27 papers)Climate variability and models (23 papers)

In The Last Decade

Duoying Ji

64 papers receiving 3.0k citations

Hit Papers

The Art and Science of Climate Model Tuning201620262019202220162019100200300

Peers

Duoying Ji
Comparison fields: 5 of 114
  • Global and Planetary Change 2.3k
  • Atmospheric Science 1.7k
  • Health, Toxicology and Mutagenesis 282
  • Environmental Engineering 267
  • Ecology 244
Replace Luiz A. T. Machado with:
Luiz A. T. Machado Brazil
Imke Durre United States
Maria A. F. Silva Dias Brazil
Manola Brunet Spain
Mathias Hauser Switzerland
Andrew Dowdy Australia
A. K. Prasad India
John W. Nielsen‐Gammon United States
Mark McCarthy United Kingdom
Else van den Besselaar Netherlands
Duoying Ji relative to Luiz A. T. Machado Brazil Luiz A. T. Machado's profile →
Citations per field
00.5×
Luiz A. T. Machado · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 0
3 1
4 3
5 15
6 6
7 7
8 114
9 64
10 46
11 155
12 20
13 47
14 22
15 3
16 9
17 20
18 33
19
Basic Evaluation of Beijing Normal University Earth System Model (BNU-ESM) Version 1
4
20 211

About Duoying Ji

Duoying Ji is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (30 papers), Climate Change and Geoengineering (27 papers) and Climate variability and models (23 papers). The work is most often cited by research in Global and Planetary Change (2.3k citations), Atmospheric Science (1.7k citations) and Health, Toxicology and Mutagenesis (282 citations). Duoying Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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