Lianghai Wu

1.4k total citations · 1 hit paper
13 papers, 512 citations indexed

About

Lianghai Wu is a scholar working on Global and Planetary Change, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Lianghai Wu has authored 13 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 2 papers in Aerospace Engineering. Recurrent topics in Lianghai Wu's work include Atmospheric Ozone and Climate (10 papers), Atmospheric and Environmental Gas Dynamics (8 papers) and Atmospheric chemistry and aerosols (7 papers). Lianghai Wu is often cited by papers focused on Atmospheric Ozone and Climate (10 papers), Atmospheric and Environmental Gas Dynamics (8 papers) and Atmospheric chemistry and aerosols (7 papers). Lianghai Wu collaborates with scholars based in Netherlands, Germany and United States. Lianghai Wu's co-authors include Otto Hasekamp, Bastiaan van Diedenhoven, Brian Cairns, Jochen Landgraf, Joost aan de Brugh, Antonio Di Noia, John E. Yorks, Stephanie Rusli, A. Butz and Guangliang Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Journal of Quantitative Spectroscopy and Radiative Transfer.

In The Last Decade

Lianghai Wu

13 papers receiving 498 citations

Hit Papers

Methane retrieved from TROPOMI: improvement of the data p... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements
    2021 154 citations Alba Lorente, Tobias Borsdorff et al. Atmospheric measurement techniques profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianghai Wu Netherlands 10 460 396 51 35 35 13 512
Daren Lyu China 12 325 0.7× 303 0.8× 19 0.4× 16 0.5× 36 1.0× 22 399
Joost aan de Brugh Netherlands 13 777 1.7× 672 1.7× 41 0.8× 76 2.2× 63 1.8× 23 838
John Hair United States 13 637 1.4× 525 1.3× 45 0.9× 8 0.2× 68 1.9× 27 760
Mikhail Arshinov Russia 17 709 1.5× 675 1.7× 11 0.2× 32 0.9× 42 1.2× 79 794
Duane Kitzis United States 6 655 1.4× 502 1.3× 6 0.1× 26 0.7× 23 0.7× 7 735
Brad Weir United States 12 557 1.2× 441 1.1× 4 0.1× 36 1.0× 38 1.1× 33 641
Kate Turnbull United Kingdom 9 452 1.0× 470 1.2× 20 0.4× 8 0.2× 41 1.2× 12 571
R. Burgess United Kingdom 4 316 0.7× 422 1.1× 27 0.5× 4 0.1× 16 0.5× 4 470
James F. Bresch United States 14 575 1.3× 657 1.7× 77 1.5× 16 0.5× 62 1.8× 23 749
Rodrigo Jiménez United States 14 465 1.0× 497 1.3× 8 0.2× 12 0.3× 52 1.5× 34 632

Countries citing papers authored by Lianghai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lianghai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianghai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lianghai Wu. A scholar is included among the top collaborators of Lianghai Wu 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 Lianghai Wu. Lianghai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Lorente, Alba, Tobias Borsdorff, A. Butz, et al.. (2022). Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements. Atmospheric measurement techniques. 15(22). 6585–6603. 12 indexed citations
2.
Crévoisier, Cyril, et al.. (2022). The Space Carbon Observatory (SCARBO) concept: assessment of X CO 2 and X CH 4 retrieval performance. Atmospheric measurement techniques. 15(16). 4835–4858. 2 indexed citations
3.
Lu, Sha, Jochen Landgraf, Guangliang Fu, et al.. (2022). Simultaneous Retrieval of Trace Gases, Aerosols, and Cirrus Using RemoTAP—The Global Orbit Ensemble Study for the CO2M Mission. SHILAP Revista de lepidopterología. 3. 19 indexed citations
4.
Lorente, Alba, Tobias Borsdorff, A. Butz, et al.. (2021). Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements. Atmospheric measurement techniques. 14(1). 665–684. 154 indexed citations breakdown →
5.
Buchwitz, Michael, Maximilian Reuter, Stefan Noël, et al.. (2021). Can a regional-scale reduction of atmospheric CO 2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO 2 retrievals. Atmospheric measurement techniques. 14(3). 2141–2166. 35 indexed citations
6.
Wu, Lianghai, Joost aan de Brugh, Yasjka Meijer, et al.. (2020). XCO 2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements. Atmospheric measurement techniques. 13(2). 713–729. 12 indexed citations
7.
Wu, Lianghai, Otto Hasekamp, Haili Hu, et al.. (2019). Full-physics carbon dioxide retrievals from the OCO-2 satellite by only using the 2.06 μm band. 1 indexed citations
8.
Wu, Lianghai, Otto Hasekamp, Haili Hu, et al.. (2019). Full-physics carbon dioxide retrievals from the Orbiting Carbon Observatory-2 (OCO-2) satellite by only using the 2.06 µm band. Atmospheric measurement techniques. 12(11). 6049–6058. 7 indexed citations
9.
Hasekamp, Otto, Guangliang Fu, Stephanie Rusli, et al.. (2019). Aerosol measurements by SPEXone on the NASA PACE mission: expected retrieval capabilities. Journal of Quantitative Spectroscopy and Radiative Transfer. 227. 170–184. 101 indexed citations
10.
Noia, Antonio Di, Otto Hasekamp, Lianghai Wu, et al.. (2017). Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter. Atmospheric measurement techniques. 10(11). 4235–4252. 36 indexed citations
11.
Wu, Lianghai, Otto Hasekamp, Bastiaan van Diedenhoven, et al.. (2016). Passive remote sensing of aerosol layer height using near‐UV multiangle polarization measurements. Geophysical Research Letters. 43(16). 8783–8790. 56 indexed citations
12.
Wu, Lianghai, Otto Hasekamp, Bastiaan van Diedenhoven, & Brian Cairns. (2015). Aerosol retrieval from multiangle, multispectral photopolarimetric measurements: importance of spectral range and angular resolution. Atmospheric measurement techniques. 8(6). 2625–2638. 68 indexed citations
13.
Wu, Lianghai, Jun Gao, Zhiguo Fan, & Jun Zhang. (2015). Measurements of skylight polarization: a case study in urban region with high-loading aerosol. Applied Optics. 54(4). B256–B256. 9 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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