Hailing Jia

1.2k total citations
36 papers, 735 citations indexed

About

Hailing Jia is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Hailing Jia has authored 36 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Hailing Jia's work include Atmospheric chemistry and aerosols (26 papers), Atmospheric aerosols and clouds (22 papers) and Atmospheric Ozone and Climate (12 papers). Hailing Jia is often cited by papers focused on Atmospheric chemistry and aerosols (26 papers), Atmospheric aerosols and clouds (22 papers) and Atmospheric Ozone and Climate (12 papers). Hailing Jia collaborates with scholars based in China, Germany and United States. Hailing Jia's co-authors include Xiaoyan Ma, Johannes Quaas, Fangqun Yu, Tong Sha, Rong Tian, Jianying Wang, Yanan Hu, Junlin An, Yan Yin and Yangang Liu and has published in prestigious journals such as Nature Communications, Geophysical Research Letters and Environmental Pollution.

In The Last Decade

Hailing Jia

30 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailing Jia China 17 612 499 269 167 54 36 735
Lin Zang China 15 506 0.8× 356 0.7× 413 1.5× 356 2.1× 24 0.4× 35 719
Min Xue China 11 570 0.9× 463 0.9× 313 1.2× 170 1.0× 63 1.2× 15 660
Tianmeng Chen China 15 679 1.1× 645 1.3× 187 0.7× 185 1.1× 39 0.7× 34 818
Mengyun Lou China 10 1.1k 1.8× 900 1.8× 534 2.0× 337 2.0× 31 0.6× 13 1.2k
G. Foret France 8 407 0.7× 261 0.5× 272 1.0× 101 0.6× 23 0.4× 8 514
P. R. Sinha India 22 1.2k 1.9× 962 1.9× 494 1.8× 245 1.5× 23 0.4× 49 1.3k
H. L. Liu China 8 423 0.7× 370 0.7× 188 0.7× 69 0.4× 67 1.2× 10 482
Danny M. Leung United States 7 437 0.7× 369 0.7× 159 0.6× 73 0.4× 128 2.4× 12 539
Woogyung Kim United States 12 723 1.2× 704 1.4× 147 0.5× 115 0.7× 34 0.6× 21 813

Countries citing papers authored by Hailing Jia

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailing Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Hailing Jia. A scholar is included among the top collaborators of Hailing Jia 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 Hailing Jia. Hailing Jia 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.
Wu, Jiandong, et al.. (2025). DINCP: Dual Interaction Network for Digital Bathymetric Model Superresolution via Codebook Priors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 19363–19377.
3.
Jia, Hailing, et al.. (2025). The effect of physical exercise on apathy in older adults: a systematic review and meta-analysis. Frontiers in Public Health. 13. 1617272–1617272.
4.
Zeng, Shufei, Weimin Li, Yan Xu, et al.. (2024). Exploring sleep characteristics in Chinese patients with narcolepsy: insights from the nocturnal sleep onset rapid eye movement period (nSOREMP). Journal of Clinical Sleep Medicine. 20(8). 1349–1355. 1 indexed citations
5.
Zhao, Jianqi, Xiaoyan Ma, Johannes Quaas, & Hailing Jia. (2024). Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model. Atmospheric chemistry and physics. 24(16). 9101–9118. 4 indexed citations
6.
Jia, Hailing, Otto Hasekamp, & Johannes Quaas. (2024). Revisiting Aerosol–Cloud Interactions From Weekly Cycles. Geophysical Research Letters. 51(13). 2 indexed citations
7.
Hodnebrog, Øivind, Gunnar Myhre, Caroline Jouan, et al.. (2024). Recent reductions in aerosol emissions have increased Earth’s energy imbalance. Communications Earth & Environment. 5(1). 39 indexed citations
8.
Wang, Yuan, Hailing Jia, Fang Fang, et al.. (2024). Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing. Atmospheric Research. 309. 107552–107552. 8 indexed citations
9.
Jia, Hailing & Johannes Quaas. (2023). Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions. Nature Climate Change. 13(9). 943–950. 20 indexed citations
10.
Rosenfeld, Daniel, Alexander Kokhanovsky, Tom Goren, et al.. (2023). Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing. Reviews of Geophysics. 61(4). 16 indexed citations
11.
Goren, Tom, Graham Feingold, Edward Gryspeerdt, et al.. (2022). Projecting Stratocumulus Transitions on the Albedo—Cloud Fraction Relationship Reveals Linearity of Albedo to Droplet Concentrations. Geophysical Research Letters. 49(20). 12 indexed citations
12.
Quaas, Johannes, Hailing Jia, Chris Smith, et al.. (2022). Robust evidence for reversal of the trend in aerosol effective climate forcing. Atmospheric chemistry and physics. 22(18). 12221–12239. 73 indexed citations
13.
Jia, Hailing, et al.. (2022). Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations. Atmospheric chemistry and physics. 22(11). 7353–7372. 16 indexed citations
14.
Jia, Hailing, Xiaoyan Ma, Fangqun Yu, & Johannes Quaas. (2021). Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods. Nature Communications. 12(1). 3649–3649. 56 indexed citations
15.
Jia, Hailing, Xiaoyan Ma, Fangqun Yu, & Johannes Quaas. (2021). Author Correction: Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods. Nature Communications. 12(1). 4241–4241. 1 indexed citations
17.
Jia, Hailing, Xiaoyan Ma, Fangqun Yu, Yangang Liu, & Yan Yin. (2019). Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus. Geophysical Research Letters. 46(22). 13517–13525. 23 indexed citations
18.
Jia, Hailing, Xiaoyan Ma, & Yangang Liu. (2019). Exploring aerosol–cloud interaction using VOCALS-REx aircraft measurements. Atmospheric chemistry and physics. 19(12). 7955–7971. 17 indexed citations
19.
Jia, Hailing, et al.. (2019). Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes?. Atmospheric chemistry and physics. 19(13). 8879–8896. 35 indexed citations
20.
Ma, Xiaoyan, Hailing Jia, Fangqun Yu, & Johannes Quaas. (2018). Opposite Aerosol Index‐Cloud Droplet Effective Radius Correlations Over Major Industrial Regions and Their Adjacent Oceans. Geophysical Research Letters. 45(11). 5771–5778. 36 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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