Ningxin Jiang

895 total citations
46 papers, 650 citations indexed

About

Ningxin Jiang is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Ningxin Jiang has authored 46 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 21 papers in Atmospheric Science and 15 papers in Environmental Engineering. Recurrent topics in Ningxin Jiang's work include Climate variability and models (14 papers), Air Quality Monitoring and Forecasting (12 papers) and Atmospheric chemistry and aerosols (11 papers). Ningxin Jiang is often cited by papers focused on Climate variability and models (14 papers), Air Quality Monitoring and Forecasting (12 papers) and Atmospheric chemistry and aerosols (11 papers). Ningxin Jiang collaborates with scholars based in Australia, China and New Zealand. Ningxin Jiang's co-authors include Kehui Luo, Matthew Riley, Georgina M. Griffiths, Andrew M. Lorrey, Paul J. Beggs, Gavin Fisher, John E. Hay, Lisa Tzu-Chi Chang, Kevin K. W. Cheung and Yvonne Scorgie and has published in prestigious journals such as Journal of Climate, Atmospheric Environment and Environment International.

In The Last Decade

Ningxin Jiang

43 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ningxin Jiang Australia 16 398 394 162 151 55 46 650
Sergey Osipov Saudi Arabia 16 674 1.7× 701 1.8× 161 1.0× 58 0.4× 65 1.2× 37 925
Changsub Shim United States 15 455 1.1× 600 1.5× 225 1.4× 114 0.8× 15 0.3× 39 785
Lijie He China 17 444 1.1× 346 0.9× 202 1.2× 163 1.1× 41 0.7× 25 690
Antti‐Ilari Partanen Finland 18 644 1.6× 599 1.5× 162 1.0× 95 0.6× 49 0.9× 42 890
Modi Ahmed Kuwait 13 240 0.6× 194 0.5× 84 0.5× 63 0.4× 17 0.3× 20 647
Hannah S. Halliday United States 13 319 0.8× 327 0.8× 187 1.2× 160 1.1× 8 0.1× 22 557
Jon A. Skindlov United States 6 424 1.1× 357 0.9× 64 0.4× 97 0.6× 18 0.3× 6 568
Parvin Ghafarian Iran 10 232 0.6× 243 0.6× 98 0.6× 89 0.6× 61 1.1× 32 388
Qian Ma China 12 343 0.9× 279 0.7× 72 0.4× 112 0.7× 11 0.2× 29 547
Jihoon Seo South Korea 14 212 0.5× 452 1.1× 377 2.3× 203 1.3× 13 0.2× 34 647

Countries citing papers authored by Ningxin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ningxin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningxin Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ningxin Jiang. A scholar is included among the top collaborators of Ningxin Jiang 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 Ningxin Jiang. Ningxin Jiang 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.
Ghimire, Sujan, Ravinesh C. Deo, Ningxin Jiang, et al.. (2025). Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction. Atmospheric Environment. 347. 121079–121079. 2 indexed citations
2.
Ha, Q. P., A. A. Masrur Ahmed, Xavier Barthélémy, et al.. (2025). Dependable Dempster-Shafer Inference Framework for Urban Air Quality Monitoring. IEEE Sensors Journal. 25(14). 27662–27672.
3.
Jiang, Ningxin, Ha L. Nguyen, Jan P. Hofmann, et al.. (2025). Pre-synthetic redox control of structure and properties in copper TTFtt coordination polymers. Chemical Science. 16(41). 19304–19316.
4.
Ma, Xuying, Lídia Morawska, Bin Zou, et al.. (2025). Towards compliance with the 2021 WHO air quality guidelines: A comparative analysis of PM2.5 trends in australia and china. Environment International. 198. 109378–109378. 3 indexed citations
5.
Ahmed, A. A. Masrur, Ningxin Jiang, Hiep Nguyen Duc, et al.. (2024). A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements. Atmosphere. 15(12). 1535–1535. 1 indexed citations
6.
Riley, Matthew, et al.. (2024). Assessing the Precision of Radon Measurements from Beta-Attenuation Monitors. Atmosphere. 15(1). 83–83.
7.
Jiang, Ningxin, et al.. (2024). High resolution catalog of the Luxian (Sichuan, China) MS6.0 earthquake sequence and analysis of the seismogenic structures. Earthquake Science. 38(1). 33–46. 1 indexed citations
8.
Riley, Matthew, Ningxin Jiang, Hiep Nguyen Duc, & Merched Azzi. (2023). Long-Term Trends in Inferred Continental Background Ozone in Eastern Australia. Atmosphere. 14(7). 1104–1104. 5 indexed citations
9.
Jiang, Ningxin, Glenn F. Ross, Stephen White, et al.. (2023). On thresholds for controlling negative particle (PM2.5) readings in air quality reporting. Environmental Monitoring and Assessment. 195(10). 1187–1187. 3 indexed citations
10.
Jiang, Ningxin, et al.. (2022). Synthesis and Electrochemical Performance of Uniform Carbon-Coated Na3V2(PO4)2F3 Using Tannic Acid as a Chelating Agent and Carbon Source. ACS Applied Energy Materials. 5(1). 249–256. 29 indexed citations
11.
Riley, Matthew, et al.. (2022). Tropospheric ozone measurements at a rural town in New South Wales, Australia. Atmospheric Environment. 281. 119143–119143. 11 indexed citations
12.
Duc, Hiep Nguyen, Merched Azzi, Ningxin Jiang, et al.. (2021). The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia. International Journal of Environmental Research and Public Health. 18(7). 3528–3528. 15 indexed citations
13.
14.
Virgilio, Giovanni Di, Melissa Hart, & Ningxin Jiang. (2018). Meteorological controls on atmospheric particulate pollution during hazard reduction burns. Atmospheric chemistry and physics. 18(9). 6585–6599. 17 indexed citations
15.
Price, Owen, Bronwyn Horsey, & Ningxin Jiang. (2016). Local and regional smoke impacts from prescribed fires. Natural hazards and earth system sciences. 16(10). 2247–2257. 24 indexed citations
16.
Jiang, Ningxin, et al.. (2014). Observations of particulate matter concentrations from the Upper Hunter Air Quality Monitoring Network, NSW. 48(4). 21. 2 indexed citations
17.
Cheung, Kevin K. W., Ningxin Jiang, K. S. Liu, & Lisa Tzu-Chi Chang. (2014). Interdecadal shift of intense tropical cyclone activity in the Southern Hemisphere. International Journal of Climatology. 35(7). 1519–1533. 5 indexed citations
18.
Jiang, Ningxin, Kim N. Dirks, & Kehui Luo. (2013). Classification of synoptic weather types using the self-organising map and its application to climate and air quality data visualisation. 33. 52–75. 4 indexed citations
19.
Jiang, Ningxin. (2010). A new objective procedure for classifying New Zealand synoptic weather types during 1958–2008. International Journal of Climatology. 31(6). 863–879. 29 indexed citations
20.
Jiang, Ningxin, John E. Hay, & Gavin Fisher. (2005). Effects of meteorological conditions on concentrations of nitrogen oxides in Auckland. ResearchSpace (University of Auckland). 11 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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