Xiaoxia Shang

633 total citations
34 papers, 335 citations indexed

About

Xiaoxia Shang is a scholar working on Global and Planetary Change, Atmospheric Science and Immunology and Allergy. According to data from OpenAlex, Xiaoxia Shang has authored 34 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 22 papers in Atmospheric Science and 9 papers in Immunology and Allergy. Recurrent topics in Xiaoxia Shang's work include Atmospheric aerosols and clouds (20 papers), Atmospheric chemistry and aerosols (18 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Xiaoxia Shang is often cited by papers focused on Atmospheric aerosols and clouds (20 papers), Atmospheric chemistry and aerosols (18 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Xiaoxia Shang collaborates with scholars based in Finland, France and Greece. Xiaoxia Shang's co-authors include Patrick Chazette, Julien Totems, Mika Komppula, Fabien Marnas, Elina Giannakaki, Elsa Dieudonné, Maria Filioglou, Sami Romakkaniemi, Stephanie Bohlmann and Ari Leskinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and Optics Express.

In The Last Decade

Xiaoxia Shang

31 papers receiving 326 citations

Peers

Xiaoxia Shang
Ellen Gute Canada
Yu‐Kyung Hyun South Korea
Sander Tijm Netherlands
Jim Galvin United Kingdom
Enda O’Brien United States
Xiaoxia Shang
Citations per year, relative to Xiaoxia Shang Xiaoxia Shang (= 1×) peers Elina Giannakaki

Countries citing papers authored by Xiaoxia Shang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Shang. A scholar is included among the top collaborators of Xiaoxia Shang 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 Xiaoxia Shang. Xiaoxia Shang 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.
Filioglou, Maria, Petri Tiitta, Xiaoxia Shang, et al.. (2025). Lidar estimates of birch pollen number, mass, and CCN-related concentrations. Atmospheric chemistry and physics. 25(3). 1639–1657.
2.
Prank, Marje, Juha Tonttila, Xiaoxia Shang, Sami Romakkaniemi, & Tomi Raatikainen. (2025). Can pollen affect precipitation?. Atmospheric chemistry and physics. 25(1). 183–197. 1 indexed citations
3.
Chazette, Patrick, Ilja M. Reiter, Xiaoxia Shang, et al.. (2024). Assessment of carbon mass in a Mediterranean downy oak ecosystem using airborne lidar and NASA Global Ecosystem Dynamics Investigation (GEDI) data. Biogeosciences. 21(14). 3289–3303.
4.
Shang, Xiaoxia, Antti Lipponen, Maria Filioglou, et al.. (2024). Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019. Atmospheric chemistry and physics. 24(2). 1329–1344. 8 indexed citations
5.
Shang, Xiaoxia, et al.. (2024). Calibration of backscattering coefficients with coherent heterodyne lidar utilizing molecular scattering. Optics Express. 33(2). 3325–3325.
6.
Filioglou, Maria, Ari Leskinen, Ville Vakkari, et al.. (2023). Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments. Atmospheric chemistry and physics. 23(16). 9009–9021. 4 indexed citations
7.
Shang, Xiaoxia, Tero Mielonen, Antti Lipponen, et al.. (2021). Canadian biomass burning aerosols observations from a multi-wavelength Raman polarization lidar and a ceilometer in Finland. 1 indexed citations
8.
Shang, Xiaoxia, Tero Mielonen, Antti Lipponen, et al.. (2021). Mass concentration estimates of long-range-transported Canadian biomass burning aerosols from a multi-wavelength Raman polarization lidar and a ceilometer in Finland. Atmospheric measurement techniques. 14(9). 6159–6179. 9 indexed citations
9.
Bohlmann, Stephanie, Xiaoxia Shang, Ville Vakkari, et al.. (2021). Lidar depolarization ratio of atmospheric pollen at multiple wavelengths. Atmospheric chemistry and physics. 21(9). 7083–7097. 24 indexed citations
10.
Shang, Xiaoxia, Elina Giannakaki, Stephanie Bohlmann, et al.. (2020). Optical characterization of pure pollen types using a multi-wavelength Raman polarization lidar. Atmospheric chemistry and physics. 20(23). 15323–15339. 22 indexed citations
11.
Filioglou, Maria, Elina Giannakaki, John Backman, et al.. (2020). Optical and geometrical aerosol particle properties over the United Arab Emirates. Atmospheric chemistry and physics. 20(14). 8909–8922. 39 indexed citations
12.
Shang, Xiaoxia, Elina Giannakaki, Stephanie Bohlmann, et al.. (2020). Airborne pollen observations using a multi-wavelength Ramanpolarization lidar in Finland: characterization of pure pollen types. 2 indexed citations
13.
Chazette, Patrick, Julien Totems, & Xiaoxia Shang. (2019). Transport of aerosols over the French Riviera – link between ground-based lidar and spaceborne observations. Atmospheric chemistry and physics. 19(6). 3885–3904. 3 indexed citations
14.
Bohlmann, Stephanie, Xiaoxia Shang, Elina Giannakaki, et al.. (2019). Detection and characterization of birch pollen in the atmosphere using a multiwavelength Raman polarization lidar and Hirst-type pollen sampler in Finland. Atmospheric chemistry and physics. 19(23). 14559–14569. 22 indexed citations
15.
Bohlmann, Stephanie, Xiaoxia Shang, Elina Giannakaki, et al.. (2019). Detection and characterization of birch pollen in the atmosphere using multi-wavelength Raman lidar in Finland. 4 indexed citations
16.
Shang, Xiaoxia, Patrick Chazette, & Julien Totems. (2018). Analysis of a warehouse fire smoke plume over Paris with an N 2 Raman lidar and an optical thickness matching algorithm. Atmospheric measurement techniques. 11(12). 6525–6538. 5 indexed citations
17.
Bohlmann, Stephanie, Maria Filioglou, E. Giannakaki, et al.. (2018). Characterization of atmospheric pollen with active remote sensing in Finland. EGU General Assembly Conference Abstracts. 12752. 1 indexed citations
18.
Shang, Xiaoxia, Patrick Chazette, & Julien Totems. (2018). Optical thickness matching algorithm applied to the case study of anaccidental fire smoke plume over the Paris area with N 2 -Raman lidar. Biogeosciences (European Geosciences Union). 1 indexed citations
19.
Dieudonné, Elsa, Patrick Chazette, Fabien Marnas, Julien Totems, & Xiaoxia Shang. (2015). Lidar profiling of aerosol optical properties from Paris to Lake Baikal (Siberia). Atmospheric chemistry and physics. 15(9). 5007–5026. 28 indexed citations
20.
Chazette, Patrick, Fabien Marnas, Julien Totems, & Xiaoxia Shang. (2014). Comparison of IASI water vapor retrieval with H 2 O-Raman lidar in the framework of the Mediterranean HyMeX and ChArMEx programs. Atmospheric chemistry and physics. 14(18). 9583–9596. 23 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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