Dien Wu

878 citations

25 papers · 527 indexed · h-index 13

Global and Planetary Change top 5%
- Atmospheric and Environmental Gas Dynamics 20
- Climate variability and models 2
- Impact of Light on Environment and Health 2
- Atmospheric aerosols and clouds 1
Atmospheric Science top 5%
- Atmospheric chemistry and aerosols 14
- Atmospheric Ozone and Climate 6
Health, Toxicology and Mutagenesis top 10%
- Air Quality and Health Impacts 9
Environmental Engineering top 10%
- Air Quality Monitoring and Forecasting 4
Transportation

Co-authors: John C. Lin E. A. Kort Tomohiro Oda Thomas Lauvaux Xinxin Ye Sha Feng Derek V. Mallia Benjamin Fasoli
Cited by: Global and Planetary Change Atmospheric Science Health, Toxicology and Mutagenesis
Journals: Geoscientific model development (3 papers)Journal of Geophysical Research Atmospheres (3 papers)Atmospheric chemistry and physics (3 papers)
Partner nations: United States United Kingdom France

In The Last Decade

Dien Wu

24 papers receiving 515 citations

Peers

Countries citing papers authored by Dien Wu

Since Specialization

Citations

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

Fields of papers citing papers by Dien Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dien Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dien Wu Line = papers co-authored together Dien Wu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO₂ Emissions Environmental Science & Technology ·Seongeun Jeong,Kost V.Yu.,Matthew S. Johnson,Dien Wu,Alexander J. Turner,M. L. Fischer	2025	1
2	State-wide California 2020 carbon dioxide budget estimated with OCO-2 and OCO-3 satellite data Atmospheric chemistry and physics ·Matthew S. Johnson,Kost V.Yu.,Seongeun Jeong,Yu Yan Cui,Dien Wu,Alexander J. Turner,M. Fischer	2025	0
3	Toward a satellite-based monitoring system for urban CO₂ emissions in support of global collective climate mitigation actions Environmental Research Letters ·F Nocera,John C. Lin,Dien Wu,Tomohiro Oda,E. A. Kort	2024	4
4	Estimating Carbon Dioxide Emissions in Two California Cities Using Bayesian Inversion and Satellite Measurements Geophysical Research Letters ·Kost V.Yu.,Dien Wu,Matthew S. Johnson,Alexander J. Turner,M. L. Fischer,Eulsoon PARK,Seongeun Jeong	2024	3
5	Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal Environmental Science & Technology ·Mengze Li,E. A. Kort,A. Anthony Bloom,Dien Wu,Genevieve Plant,Cynthia Gerlein‐Safdi,Tianjiao Pu	2024	2
6	A simplified non-linear chemistry transport model for analyzing NO ₂ column observations: STILT–NO _x Geoscientific model development ·Dien Wu,Joshua L. Laughner,Junjie Liu,Paul I. Palmer,John C. Lin,P. O. Wennberg	2023	4
7	Can We Detect Urban‐Scale CO₂ Emission Changes Within Medium‐Sized Cities? Journal of Geophysical Research Atmospheres ·Derek V. Mallia,L. Mitchell,Giordimaina Christopher,Dien Wu,Reuven Kosakoff,John C. Lin	2023	3
8	Radiocarbon Measurements Reveal Underestimated Fossil CH₄ and CO₂ Emissions in London Geophysical Research Letters ·Giulia Zazzeri,Heather Graven,Xiaomei Xu,Seong Ryoung Kim,M Köffler,Alistair J. Manning,T. Tabarelli,Dien Wu,Samuel Hammer	2023	12
9	Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO ₂ emissions Atmospheric measurement techniques ·Kai Wu,Paul I. Palmer,Dien Wu,D. Jouglet,Liang Feng,Tomohiro Oda	2023	11
10	Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO ₂ and CO Atmospheric chemistry and physics ·Dien Wu,Junjie Liu,P. O. Wennberg,Paul I. Palmer,Robert Nelson,Matthäus Kiel,A. Eldering	2022	17
11	An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO₂ Retrievals Earth and Space Science ·Dong Huan-xin,Dien Wu,Benjamin Fasoli,Tomohiro Oda,John C. Lin	2021	10
12	A model for urban biogenic CO ₂ fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) Geoscientific model development ·Dien Wu,John C. Lin,Henrique F. Duarte,Vineet Yadav,Nicholas C. Parazoo,Tomohiro Oda,E. A. Kort	2021	32
13	Transboundary transport of ozone pollution to a US border region: A case study of Yuma Environmental Pollution ·Zhen Qu,Dien Wu,Daven K. Henze,Yi Li,Oyamada H.A.A.,K. Beaugelin-Seillers	2021	10
14	Constraining Fossil Fuel CO₂ Emissions From Urban Area Using OCO‐2 Observations of Total Column CO₂ Journal of Geophysical Research Atmospheres ·Xinxin Ye,Thomas Lauvaux,E. A. Kort,Tomohiro Oda,Sha Feng,John C. Lin,M. Romeo,Dien Wu	2020	80
15	Using Space‐Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East Journal of Geophysical Research Atmospheres ·M. Romeo,E. A. Kort,Dien Wu,John C. Lin,Tomohiro Oda,Xinxin Ye,Thomas Lauvaux	2020	31
16	Space-based quantification of per capita CO₂ emissions from cities Environmental Research Letters ·Dien Wu,John C. Lin,Tomohiro Oda,E. A. Kort	2020	84
17	A Lagrangian approach towards extracting signals of urban CO ₂ emissions from satellite observations of atmospheric column CO ₂ (XCO ₂ ): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) Geoscientific model development ·Dien Wu,John C. Lin,Benjamin Fasoli,Tomohiro Oda,Xinxin Ye,Thomas Lauvaux,M. Romeo,E. A. Kort	2018	81
18	Constraining fossil fuel CO<sub>2</sub> emissions from urban area using OCO-2 observations of total column CO<sub>2</sub> Xinxin Ye,Thomas Lauvaux,E. A. Kort,Tomohiro Oda,Sha Feng,John C. Lin,M. Romeo,Dien Wu	2017	14
19	How can mountaintop CO ₂ observations be used to constrain regional carbon fluxes? Atmospheric chemistry and physics ·John C. Lin,Derek V. Mallia,Dien Wu,Britton B. Stephens	2017	32
20	Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model Journal of Applied Meteorology and Climatology ·Derek V. Mallia,Adam K. Kochanski,Dien Wu,Parivash Nouri,Hadeer Adel Ali M Swailam,John C. Lin	2017	20

About Dien Wu

Dien Wu is a scholar working on Global and Planetary Change, Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering and Earth-Surface Processes, having authored 25 papers that have together received 527 indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (20 papers), Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (9 papers), Atmospheric Ozone and Climate (6 papers), Air Quality Monitoring and Forecasting (4 papers), Climate variability and models (2 papers), Impact of Light on Environment and Health (2 papers) and Atmospheric aerosols and clouds (1 paper). The work is most often cited by research in Global and Planetary Change (440 citations), Atmospheric Science (353 citations), Health, Toxicology and Mutagenesis (117 citations), Environmental Engineering (105 citations) and Transportation (15 citations). Dien Wu has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include John C. Lin, E. A. Kort, Tomohiro Oda, Thomas Lauvaux, Xinxin Ye, Sha Feng, Tomohiro Oda, Derek V. Mallia, Benjamin Fasoli and Britton B. Stephens. Their work appears in journals such as Geoscientific model development, Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics, Environmental Research Letters and Environmental Science & Technology.

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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