Yanjun Qi

436 total citations
18 papers, 349 citations indexed

About

Yanjun Qi is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Yanjun Qi has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 4 papers in Oceanography. Recurrent topics in Yanjun Qi's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (11 papers) and Tropical and Extratropical Cyclones Research (7 papers). Yanjun Qi is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (11 papers) and Tropical and Extratropical Cyclones Research (7 papers). Yanjun Qi collaborates with scholars based in China, United States and Germany. Yanjun Qi's co-authors include Renhe Zhang, Tim Li, Min Wen, Peter J. Webster, Bin Wang, Kazuyoshi Kikuchi, Tetsuzo Yasunari, Jian Li, Xinyao Rong and Lun Li and has published in prestigious journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Climate Dynamics.

In The Last Decade

Yanjun Qi

18 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjun Qi China 9 328 300 117 22 10 18 349
L. C. Shaffrey United Kingdom 9 274 0.8× 222 0.7× 143 1.2× 13 0.6× 4 0.4× 9 294
Bryan D. Mundhenk United States 5 472 1.4× 458 1.5× 85 0.7× 33 1.5× 4 0.4× 5 504
Dániel Topál Hungary 8 174 0.5× 198 0.7× 41 0.4× 7 0.3× 6 0.6× 19 240
C. Mitas United States 6 403 1.2× 330 1.1× 154 1.3× 13 0.6× 9 0.9× 8 428
D. A. Paolino United States 6 390 1.2× 352 1.2× 100 0.9× 24 1.1× 9 0.9× 7 410
J. G. Dwyer United States 6 267 0.8× 235 0.8× 57 0.5× 10 0.5× 3 0.3× 8 293
Panxi Dai China 10 211 0.6× 197 0.7× 53 0.5× 20 0.9× 4 0.4× 21 254
Muhammad Rais Abdillah Indonesia 10 202 0.6× 195 0.7× 73 0.6× 8 0.4× 6 0.6× 33 272
J. M. Neena India 8 486 1.5× 444 1.5× 174 1.5× 12 0.5× 4 0.4× 13 503
E. Suhas India 9 387 1.2× 342 1.1× 99 0.8× 15 0.7× 3 0.3× 24 409

Countries citing papers authored by Yanjun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Qi

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

All Works

18 of 18 papers shown
1.
Yang, Shuangyan, et al.. (2024). Interannual variability of mid-high-latitude intraseasonal oscillation intensity at the southern hemisphere during austral summer. Climate Dynamics. 62(5). 3859–3876. 1 indexed citations
2.
Yang, Shuangyan, Yashu Liu, Zhiwei Zhu, & Yanjun Qi. (2023). Influence of the mid-high-latitude Eurasian ISO on PM2.5 concentration anomaly in North China during boreal winter. Climate Dynamics. 62(3). 2455–2474. 5 indexed citations
3.
Qi, Yanjun, Renhe Zhang, & Zhuo Wang. (2023). Large-scale background and role of quasi-biweekly moisture transport in the extreme Yangtze River rainfall in summer 2020. Climate Dynamics. 61(7-8). 3721–3736. 6 indexed citations
4.
Zhang, Ruonan, et al.. (2021). Summertime Moisture Sources and Transportation Pathways for China and Associated Atmospheric Circulation Patterns. Frontiers in Earth Science. 9. 11 indexed citations
5.
Nian, Da, Naiming Yuan, Ge Liu, et al.. (2020). Identifying the sources of seasonal predictability based on climate memory analysis and variance decomposition. Climate Dynamics. 55(11-12). 3239–3252. 6 indexed citations
6.
Li, Lun, Renhe Zhang, Min Wen, Jianping Duan, & Yanjun Qi. (2019). Characteristics of the Tibetan Plateau vortices and the related large-scale circulations causing different precipitation intensity. Theoretical and Applied Climatology. 138(1-2). 849–860. 15 indexed citations
7.
Li, Lun, Renhe Zhang, Min Wen, Jianping Duan, & Yanjun Qi. (2019). Effects of the atmospheric dynamic and thermodynamic fields on the eastward propagation of Tibetan Plateau vortices. Tellus A Dynamic Meteorology and Oceanography. 71(1). 1647088–1647088. 5 indexed citations
8.
Yuan, Naiming, et al.. (2019). Understanding long-term persistence and multifractal behaviors in river runoff: A detailed study over eastern China. Physica A Statistical Mechanics and its Applications. 533. 122042–122042. 6 indexed citations
9.
Qi, Yanjun, Tim Li, Renhe Zhang, & Yang Chen. (2019). Interannual relationship between intensity of rainfall intraseasonal oscillation and summer-mean rainfall over Yangtze River Basin in eastern China. Climate Dynamics. 53(5-6). 3089–3108. 18 indexed citations
10.
Qi, Yanjun, Renhe Zhang, Xinyao Rong, Jian Li, & Lun Li. (2019). Boreal Summer Intraseasonal Oscillation in the Asian–Pacific Monsoon Region Simulated in CAMS-CSM. Journal of Meteorological Research. 33(1). 66–79. 8 indexed citations
11.
Yuan, Naiming, et al.. (2018). Correction to: Is long-term climate memory important in temperature/precipitation predictions over China?. Theoretical and Applied Climatology. 137(1-2). 467–468. 1 indexed citations
12.
Yuan, Naiming, et al.. (2018). Is long-term climate memory important in temperature/precipitation predictions over China?. Theoretical and Applied Climatology. 137(1-2). 459–466. 7 indexed citations
13.
Rong, Xinyao, Jian Li, Haoming Chen, et al.. (2018). The CAMS Climate System Model and a Basic Evaluation of Its Climatology and Climate Variability Simulation. Journal of Meteorological Research. 32(6). 839–861. 58 indexed citations
14.
Qi, Yanjun, Renhe Zhang, Ping Zhao, & Panmao Zhai. (2013). Comparison of the structure and evolution of intraseasonal oscillations before and after onset of the Asian summer monsoon. Acta Meteorologica Sinica. 27(5). 684–700. 3 indexed citations
15.
Wen, Min, Tim Li, Renhe Zhang, & Yanjun Qi. (2009). Structure and Origin of the Quasi-Biweekly Oscillation over the Tropical Indian Ocean in Boreal Spring. Journal of the Atmospheric Sciences. 67(6). 1965–1982. 30 indexed citations
16.
Qi, Yanjun, Renhe Zhang, Tim Li, & Min Wen. (2008). Interactions between the summer mean monsoon and the intraseasonal oscillation in the Indian monsoon region. Geophysical Research Letters. 35(17). 40 indexed citations
17.
Qi, Yanjun, Renhe Zhang, Tim Li, & Min Wen. (2008). Impacts of intraseasonal oscillation on the onset and interannual variation of the Indian summer monsoon. Science Bulletin. 54(5). 880–884. 18 indexed citations
18.
Wang, Bin, Peter J. Webster, Kazuyoshi Kikuchi, Tetsuzo Yasunari, & Yanjun Qi. (2006). Boreal summer quasi-monthly oscillation in the global tropics. Climate Dynamics. 27(7-8). 661–675. 111 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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