Jiarui Dong

2.3k total citations
31 papers, 1.7k citations indexed

About

Jiarui Dong is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jiarui Dong has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Jiarui Dong's work include Cryospheric studies and observations (10 papers), Climate variability and models (7 papers) and Climate change and permafrost (6 papers). Jiarui Dong is often cited by papers focused on Cryospheric studies and observations (10 papers), Climate variability and models (7 papers) and Climate change and permafrost (6 papers). Jiarui Dong collaborates with scholars based in United States, China and Australia. Jiarui Dong's co-authors include Jeffrey P. Walker, Ranga B. Myneni, Wolfgang Buermann, Paul R. Houser, Chaojiao Sun, Randal D. Koster, Rolf H. Reichle, Aaron Berg, James L. Foster and Robert E. Dickinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and NeuroImage.

In The Last Decade

Jiarui Dong

28 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiarui Dong United States 15 909 781 625 425 310 31 1.7k
Xingjie Lu China 25 581 0.6× 412 0.5× 1.3k 2.1× 423 1.0× 566 1.8× 64 2.2k
G. G. Rooney United Kingdom 18 1.2k 1.3× 592 0.8× 1.5k 2.5× 236 0.6× 376 1.2× 40 2.4k
Xingming Hao China 25 477 0.5× 253 0.3× 1.1k 1.7× 357 0.8× 474 1.5× 65 1.6k
Jean‐François Exbrayat United Kingdom 21 350 0.4× 309 0.4× 820 1.3× 348 0.8× 298 1.0× 40 1.3k
Thomas Grünwald Germany 20 726 0.8× 373 0.5× 2.1k 3.4× 462 1.1× 468 1.5× 38 2.4k
John Kochendorfer United States 20 1.4k 1.5× 500 0.6× 976 1.6× 133 0.3× 288 0.9× 50 1.9k
Eric Hunt United States 17 493 0.5× 384 0.5× 1.9k 3.0× 234 0.6× 450 1.5× 31 2.3k
Zeyong Hu China 23 1.0k 1.1× 320 0.4× 946 1.5× 145 0.3× 194 0.6× 108 1.6k
Matthias Zink Germany 20 398 0.4× 525 0.7× 1.3k 2.1× 154 0.4× 1.2k 3.8× 39 2.1k

Countries citing papers authored by Jiarui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jiarui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarui Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jiarui Dong. A scholar is included among the top collaborators of Jiarui Dong 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 Jiarui Dong. Jiarui Dong 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, Hongyu, Jingyi Wang, Bin Chen, et al.. (2025). Application of hybrid machine learning algorithms for life cycle carbon prediction and optimization of buildings: A case study in China. Sustainable Cities and Society. 122. 106248–106248. 4 indexed citations
2.
Wang, Jun, et al.. (2025). Oxygen vacancies-modulated Cu-substituted Co3O4 nanoarrays as an efficient battery-type electrode for hybrid supercapacitors. Journal of Alloys and Compounds. 1039. 183055–183055.
3.
Zhang, Liyan, et al.. (2025). Knowledge graph and bibliometric analysis of inflammatory indicators in ovarian cancer. Frontiers in Oncology. 15. 1533537–1533537.
5.
Yang, Kang, Jiarui Dong, Li J, et al.. (2024). The neonatal Fc receptor (FcRn) is required for porcine reproductive and respiratory syndrome virus uncoating. Journal of Virology. 99(1). e0121824–e0121824. 7 indexed citations
6.
Liu, Mingbo, et al.. (2023). Distance-Based Distributionally Robust Optimization for a Preventive Maintenance Schedule in Hydrothermal Power Systems. IEEE Systems Journal. 1–12. 4 indexed citations
7.
Ji, Tiantian, Jiarui Dong, Hao Feng, et al.. (2022). Immune Cells in Pulmonary Arterial Hypertension. Heart Lung and Circulation. 31(7). 934–943. 12 indexed citations
8.
Dong, Jiarui, et al.. (2022). Expectations of immediate and delayed reward differentially affect cognitive task performance. NeuroImage. 262. 119582–119582. 8 indexed citations
9.
Yin, Jifu, Christopher Hain, Xiwu Zhan, Jiarui Dong, & Michael Ek. (2019). Improvements in the forecasts of near-surface variables in the Global Forecast System (GFS) via assimilating ASCAT soil moisture retrievals. Journal of Hydrology. 578. 124018–124018. 10 indexed citations
10.
Helmert, Jürgen, Jiarui Dong, Patricia de Rosnay, et al.. (2018). 1st Snow Data Assimilation Workshop in the framework of COST HarmoSnow ESSEM 1404. Meteorologische Zeitschrift. 27(4). 325–333. 2 indexed citations
11.
Kumar, Sujay V., et al.. (2017). Role of forcing uncertainty and background model error characterization in snow data assimilation. Hydrology and earth system sciences. 21(6). 2637–2647. 18 indexed citations
13.
Xia, Youlong, Michael Ek, David M. Mocko, et al.. (2014). Uncertainties, Correlations, and Optimal Blends of Drought Indices from the NLDAS Multiple Land Surface Model Ensemble. Journal of Hydrometeorology. 15(4). 1636–1650. 38 indexed citations
14.
Dong, Jiarui, M. B. Ek, Dorothy K. Hall, et al.. (2013). Using Air Temperature to Quantitatively Predict the MODIS Fractional Snow Cover Retrieval Errors over the Continental United States. Journal of Hydrometeorology. 15(2). 551–562. 15 indexed citations
15.
Huang, Songling, et al.. (2011). Analytical modelling and calculation of pulsed magnetic field and input impedance for EMATs with planar spiral coils. NDT & E International. 44(3). 274–280. 17 indexed citations
16.
Dong, Jiarui, Jeffrey P. Walker, Paul R. Houser, & Chaojiao Sun. (2007). Scanning multichannel microwave radiometer snow water equivalent assimilation. Journal of Geophysical Research Atmospheres. 112(D7). 93 indexed citations
17.
Dong, Jiarui, Jeffrey P. Walker, & Paul R. Houser. (2005). Factors affecting remotely sensed snow water equivalent uncertainty. Remote Sensing of Environment. 97(1). 68–82. 124 indexed citations
18.
Dong, Jiarui, Robert K. Kaufmann, Ranga B. Myneni, et al.. (2003). Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks. Remote Sensing of Environment. 84(3). 393–410. 303 indexed citations
19.
Buermann, Wolfgang, Jiarui Dong, Xubin Zeng, Ranga B. Myneni, & Robert E. Dickinson. (2001). Evaluation of the Utility of Satellite-Based Vegetation Leaf Area Index Data for Climate Simulations. Journal of Climate. 14(17). 3536–3550. 143 indexed citations
20.
Dong, Jiarui. (1997). The difference scheme of soil hydraulic conductivity and diffusivity and experimental tests. 自然科学进展(英文版). 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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