Jun Ying

1.8k total citations
41 papers, 805 citations indexed

About

Jun Ying is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Jun Ying has authored 41 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 32 papers in Atmospheric Science and 29 papers in Oceanography. Recurrent topics in Jun Ying's work include Climate variability and models (35 papers), Oceanographic and Atmospheric Processes (25 papers) and Meteorological Phenomena and Simulations (18 papers). Jun Ying is often cited by papers focused on Climate variability and models (35 papers), Oceanographic and Atmospheric Processes (25 papers) and Meteorological Phenomena and Simulations (18 papers). Jun Ying collaborates with scholars based in China, United States and Canada. Jun Ying's co-authors include Ping Huang, Tao Lian, Xiaojing Zhang, Svitlana Bilan, Dake Chen, Wenping Jiang, Gang Huang, Ronghui Huang, Gen Li and Dong Chen and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Annals of the New York Academy of Sciences.

In The Last Decade

Jun Ying

38 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ying China 17 668 472 362 53 48 41 805
Alberto Elizalde Germany 11 506 0.8× 382 0.8× 204 0.6× 36 0.7× 40 0.8× 15 665
John Truesdale United States 15 911 1.4× 860 1.8× 230 0.6× 43 0.8× 54 1.1× 22 1.1k
Roger Bodman Australia 7 628 0.9× 453 1.0× 195 0.5× 47 0.9× 43 0.9× 11 759
Alba Cid Spain 8 320 0.5× 281 0.6× 145 0.4× 28 0.5× 41 0.9× 9 511
Ufuk Utku Turunçoğlu Türkiye 13 343 0.5× 256 0.5× 129 0.4× 32 0.6× 39 0.8× 30 529
Ester Salimun Malaysia 12 586 0.9× 451 1.0× 162 0.4× 61 1.2× 44 0.9× 17 732
Xiao Zhou China 11 464 0.7× 347 0.7× 173 0.5× 27 0.5× 99 2.1× 22 581
Pei‐Hua Tan Taiwan 16 574 0.9× 552 1.2× 127 0.4× 114 2.2× 28 0.6× 28 807
Yuanhai Fu China 13 435 0.7× 325 0.7× 74 0.2× 52 1.0× 56 1.2× 30 610

Countries citing papers authored by Jun Ying

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ying. A scholar is included among the top collaborators of Jun Ying 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 Jun Ying. Jun Ying 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.
Chen, Shangfeng, Wen Chen, Renguang Wu, et al.. (2025). Atlantic multidecadal variability controls Arctic-ENSO connection. npj Climate and Atmospheric Science. 8(1). 13 indexed citations
2.
Ying, Jun, Matthew Collins, Robin Chadwick, et al.. (2025). Causes of Differences in the Tropical Pacific SST Warming Pattern Projected by CMIP6 Models. Advances in Atmospheric Sciences. 42(6). 1077–1091.
3.
Ying, Jun, Matthew Collins, Robin Chadwick, Jian Ma, & Tao Lian. (2024). Constraints on the Projected Tropical Pacific Sea Surface Temperature Warming Pattern by the Tropical North Atlantic Cold SST Bias in CMIP6 Models. Geophysical Research Letters. 51(21). 3 indexed citations
4.
Xie, Shang‐Ping, et al.. (2024). Impacts of Antarctic Sea Ice Change on Global Warming Pattern Inferred From CMIP6 Intermodel Spread. Geophysical Research Letters. 52(1). 1 indexed citations
5.
Gao, Z., Shang‐Min Long, Jia‐Rui Shi, et al.. (2023). Indian Ocean mixed layer depth changes under global warming. Frontiers in Climate. 5. 8 indexed citations
6.
Chen, Shangfeng, Wen Chen, Renguang Wu, Bin Yu, & Jun Ying. (2023). Joint impacts of winter North Pacific Oscillation and early spring Aleutian Low intensity on the following winter ENSO. Climate Dynamics. 62(1). 257–276. 6 indexed citations
7.
Ying, Jun, et al.. (2023). Sources of Uncertainty in the Time of Emergence of Tropical Pacific Climate Change Signal: Role of Internal Variability. Journal of Climate. 36(8). 2535–2549. 6 indexed citations
8.
Ying, Jun, Matthew Collins, Wenju Cai, et al.. (2022). Emergence of climate change in the tropical Pacific. Nature Climate Change. 12(4). 356–364. 48 indexed citations
9.
10.
Jiang, Wenping, Ping Huang, Gang Huang, & Jun Ying. (2021). Origins of the Excessive Westward Extension of ENSO SST Simulated in CMIP5 and CMIP6 Models. Journal of Climate. 34(8). 2839–2851. 65 indexed citations
11.
Long, Shang‐Min, Gen Li, Kaiming Hu, & Jun Ying. (2020). Origins of the IOD-like Biases in CMIP Multimodel Ensembles: The Atmospheric Component and Ocean–Atmosphere Coupling. Journal of Climate. 33(24). 10437–10453. 19 indexed citations
12.
Zhang, Chan, Tao Lian, Youmin Tang, Jun Ying, & Junde Li. (2019). Uncertainty of the Linear Trend in the Zonal SST Gradient Across the Equatorial Pacific Since 1881. ATMOSPHERE-OCEAN. 57(1). 61–72. 1 indexed citations
13.
Ying, Jun, Ping Huang, & Tao Lian. (2019). Changes in the sensitivity of tropical rainfall response to local sea surface temperature anomalies under global warming. International Journal of Climatology. 39(15). 5801–5814. 12 indexed citations
14.
Lian, Tao, et al.. (2018). Investigating the Uncertainty in Global SST Trends Due to Internal Variations Using an Improved Trend Estimator. Journal of Geophysical Research Oceans. 123(3). 1877–1895. 6 indexed citations
15.
Wang, Hui, Lingfeng Mao, Siqi Lu, et al.. (2018). What Determines the Change of Lakes in LargeCities under Climate Change and AnthropogenicActivities? Evidence from Eastern China. Polish Journal of Environmental Studies. 28(3). 1949–1956. 8 indexed citations
16.
Ying, Jun & Ping Huang. (2016). The Large-Scale Ocean Dynamical Effect on Uncertainty in the Tropical Pacific SST Warming Pattern in CMIP5 Models. Journal of Climate. 29(22). 8051–8065. 17 indexed citations
17.
Huang, Ping & Jun Ying. (2015). A Multimodel Ensemble Pattern Regression Method to Correct the Tropical Pacific SST Change Patterns under Global Warming. Journal of Climate. 28(12). 4706–4723. 75 indexed citations
18.
Ying, Jun. (2013). Comparison of Intensity Changes of Western North Pacific Tropical Cyclones during Extratropical Transition. Chinese Journal of Atmospheric Sciences. 1 indexed citations
19.
Ying, Jun, et al.. (2011). Urban green infrastructure system and its system construction.. Journal of Zhejiang A & F University. 28(5). 805–809.
20.
Ying, Jun & Shen Xiao. (2009). Significance and methods of introducing post occupancy evaluation in China’s landscape architecture design. Zhejiang Linxueyuan xuebao. 26(3). 417–420. 1 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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