Jing Yang

6.5k total citations · 1 hit paper
180 papers, 5.0k citations indexed

About

Jing Yang is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Jing Yang has authored 180 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Global and Planetary Change, 98 papers in Atmospheric Science and 27 papers in Oceanography. Recurrent topics in Jing Yang's work include Climate variability and models (86 papers), Meteorological Phenomena and Simulations (57 papers) and Tropical and Extratropical Cyclones Research (26 papers). Jing Yang is often cited by papers focused on Climate variability and models (86 papers), Meteorological Phenomena and Simulations (57 papers) and Tropical and Extratropical Cyclones Research (26 papers). Jing Yang collaborates with scholars based in China, United States and South Korea. Jing Yang's co-authors include Bin Wang, Daoyi Gong, Tianjun Zhou, Qing Bao, Qinyu Liu, Shang‐Ping Xie, Lixin Wu, Miaoni Gao, Rui Mao and Zhiwei Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Jing Yang

166 papers receiving 4.9k citations

Hit Papers

Impact of the Indian Ocean SST basin mode on the Asian su... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Yang China 35 3.8k 3.4k 1.5k 369 330 180 5.0k
Hideo Shiogama Japan 42 5.3k 1.4× 4.1k 1.2× 877 0.6× 336 0.9× 522 1.6× 167 6.4k
Andrei Sokolov United States 37 3.0k 0.8× 1.8k 0.5× 659 0.4× 167 0.5× 250 0.8× 105 5.1k
Jin‐Ho Yoon United States 41 5.4k 1.4× 4.5k 1.3× 788 0.5× 324 0.9× 409 1.2× 127 6.4k
Xiangdong Zhang United States 37 3.5k 0.9× 4.6k 1.4× 833 0.6× 182 0.5× 249 0.8× 120 5.7k
Larissa Nazarenko United States 27 3.9k 1.0× 4.2k 1.2× 516 0.3× 997 2.7× 138 0.4× 54 5.5k
Raquel Nieto Spain 42 5.6k 1.5× 4.3k 1.3× 827 0.5× 242 0.7× 696 2.1× 224 6.7k
Roland Séférian France 35 3.0k 0.8× 1.4k 0.4× 2.5k 1.7× 182 0.5× 136 0.4× 88 5.1k
Prabir K. Patra Japan 40 4.0k 1.0× 3.1k 0.9× 513 0.3× 366 1.0× 65 0.2× 181 5.1k

Countries citing papers authored by Jing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yang. A scholar is included among the top collaborators of Jing Yang 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 Jing Yang. Jing Yang 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.
Yi, Zhihang, et al.. (2026). Graph contrastive learning view construction methods in recommender systems: a survey. Frontiers of Computer Science. 20(7).
3.
Lu, Mengqian, et al.. (2025). Foundation Models as Assistive Tools in Hydrometeorology: Opportunities, Challenges, and Perspectives. Water Resources Research. 61(4). 1 indexed citations
4.
Bao, Qing, et al.. (2025). Evaluation of Seasonal Precipitation in South Asian Monsoon Using FGOALS-f2 Seamless Prediction System. Weather and Forecasting. 40(5). 669–688.
6.
Yang, Jing, Xu Zhang, Zhikui Chen, et al.. (2024). Artificial Intelligence-Assisted Environmental DNA Metabarcoding and High-Resolution Underwater Optical Imaging for Noninvasive and Innovative Marine Environmental Monitoring. Journal of Marine Science and Engineering. 12(10). 1729–1729. 5 indexed citations
7.
Yang, Jing, Tao Zhu, Frédéric Vitart, et al.. (2024). Synchronous Eurasian heat extremes tied to boreal summer combined extratropical intraseasonal waves. npj Climate and Atmospheric Science. 7(1). 6 indexed citations
8.
Yang, Jing, et al.. (2023). The division of PM2.5-O3 composite airborne pollution across China based on spatiotemporal clustering. Journal of Cleaner Production. 401. 136706–136706. 13 indexed citations
9.
Yang, Jing, Ya Huang, Guiping Li, & Yanping Li. (2023). Changes of extreme precipitation in the middle and lower reaches of the Yangtze River and their correlation with atmospheric circulation. Frontiers in Earth Science. 11. 7 indexed citations
10.
Zhu, Tao, Jing Yang, & Bian He. (2023). Orographic mechanical and surface thermal effects of the Tibetan–Iranian Plateau on extratropical intraseasonal waves in boreal summer: numerical experiments. Environmental Research Letters. 18(7). 74008–74008. 4 indexed citations
11.
Yang, Jing, Tao Zhu, & Frédéric Vitart. (2023). An extratropical window of opportunity for subseasonal prediction of East Asian summer surface air temperature. npj Climate and Atmospheric Science. 6(1). 11 indexed citations
12.
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
13.
Cheng, Changxiu, Shi Shen, Peichao Gao, et al.. (2021). The Effect of the Wenchuan and Lushan Earthquakes on the Size Distribution of Earthquakes along the Longmenshan Fault. Applied Sciences. 11(18). 8534–8534. 1 indexed citations
14.
Cheng, Changxiu, Shi Shen, Peichao Gao, et al.. (2021). The Effect of the Wenchuan and Lushan Earthquakes on the Size Distribution of Earthquakes along the Longmenshan Fault. 1 indexed citations
15.
Lin, Yongfeng, Jing Yang, Qiang Fu, Ting Ruan, & Guibin Jiang. (2019). Exploring the Occurrence and Temporal Variation of ToxCast Chemicals in Fine Particulate Matter Using Suspect Screening Strategy. Environmental Science & Technology. 53(10). 5687–5696. 37 indexed citations
16.
Yang, Jing, Tao Zhu, Miaoni Gao, et al.. (2018). Late‐July Barrier for Subseasonal Forecast of Summer Daily Maximum Temperature Over Yangtze River Basin. Geophysical Research Letters. 45(22). 32 indexed citations
17.
Zhou, Siyuan, Jing Yang, Wei‐Chyung Wang, et al.. (2018). Shift of daily rainfall peaks over the Beijing–Tianjin–Hebei region: An indication of pollutant effects?. International Journal of Climatology. 38(13). 5010–5019. 10 indexed citations
18.
Shen, Shi, Sijing Ye, Changxiu Cheng, et al.. (2018). Persistence and Corresponding Time Scales of Soil Moisture Dynamics During Summer in the Babao River Basin, Northwest China. Journal of Geophysical Research Atmospheres. 123(17). 8936–8948. 18 indexed citations
19.
Zhou, Siyuan, Jing Yang, Chuanfeng Zhao, et al.. (2018). Diurnal variation of heavy rainfall over the Beijing-Tianjin-Hebei region: Role of aerosol cloud effect and its sensitivity to moisture. Biogeosciences (European Geosciences Union). 3 indexed citations
20.
Zhang, Gang, et al.. (2013). [Characteristics of mercury exchange flux between soil and atmosphere under the snow retention and snow melting control].. PubMed. 34(2). 468–75. 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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