D. A. Chu

9.5k citations
50 papers · 7.1k indexed · 4 hit papers · h-index 28

D. A. Chu

49 papers receiving 6.8k citations

Hit Papers

The MODIS Aerosol Algorithm, Products, and Validation2.6k200220262010201850010001.5k2.0k2.5k

Peers

D. A. Chu
Comparison fields: 5 of 81
  • Atmospheric Science 6.3k
  • Global and Planetary Change 6.2k
  • Health, Toxicology and Mutagenesis 1.4k
  • Environmental Engineering 763
  • Earth-Surface Processes 172
Replace K. Krishna Moorthy with:
K. Krishna Moorthy India
Ellsworth J. Welton United States
Si‐Chee Tsay United States
Dimitris Balis Greece
R. A. Ferrare United States
Philip B. Russell United States
S. Mattoo United States
Peter R. Colarco United States
Keith Bower United Kingdom
Vassilis Amiridis Greece
D. A. Chu relative to K. Krishna Moorthy India K. Krishna Moorthy's profile →
Citations per field
00.5×1.5×
K. Krishna Moorthy · 1×
Citations per year

Countries citing papers authored by D. A. Chu

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Chu. 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 D. A. Chu. The network helps show where D. A. Chu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside D. A. Chu, 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 D. A. Chu Line = papers co-authored together D. A. Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 201352
3 201166
4 201183
5 201021
6 200981
7 200920
8 2009106
9 20094
10 200889
11
Evaluation of WRF/Chem-MADRID with Satellite and Surface Measurements: Chemical and Optical Properties of Aerosols
20053
12 2005152
13 200588
14 20042
15 2003102
16 2003126
17 199867
18
Mesospheric ozone measurements by SAGE II
19946
19 199496
20 199462

About D. A. Chu

D. A. Chu is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 50 papers that have together received 7.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (43 papers), Atmospheric aerosols and clouds (41 papers), Atmospheric Ozone and Climate (24 papers), Atmospheric and Environmental Gas Dynamics (19 papers), Air Quality and Health Impacts (6 papers), Ionosphere and magnetosphere dynamics (2 papers), Tropical and Extratropical Cyclones Research (2 papers) and Calibration and Measurement Techniques (2 papers). The work is most often cited by research in Atmospheric Science (6.3k citations), Global and Planetary Change (6.2k citations) and Health, Toxicology and Mutagenesis (1.4k citations). D. A. Chu has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Yoram J. Kaufman, L. A. Remer, Charles Ichoku, D. Tanré, B. N. Holben, S. Mattoo, R. C. Levy, J. Vanderlei Martins, R. G. Kleidman and T. F. Eck. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment, Atmospheric chemistry and physics, Geophysical Research Letters and Journal of Quantitative Spectroscopy and Radiative Transfer.

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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