Daniel K. Zhou

3.6k total citations
120 papers, 2.3k citations indexed

About

Daniel K. Zhou is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Daniel K. Zhou has authored 120 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Atmospheric Science, 67 papers in Global and Planetary Change and 43 papers in Aerospace Engineering. Recurrent topics in Daniel K. Zhou's work include Atmospheric Ozone and Climate (64 papers), Calibration and Measurement Techniques (39 papers) and Meteorological Phenomena and Simulations (37 papers). Daniel K. Zhou is often cited by papers focused on Atmospheric Ozone and Climate (64 papers), Calibration and Measurement Techniques (39 papers) and Meteorological Phenomena and Simulations (37 papers). Daniel K. Zhou collaborates with scholars based in United States, United Kingdom and Germany. Daniel K. Zhou's co-authors include Allen M. Larar, D. M. Gruen, A.R. Krauss, Thomas McCauley, Lu‐Chang Qin, William L. Smith, Xu Liu, Jun Li, S. Mango and Henry E. Revercomb and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

Daniel K. Zhou

114 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel K. Zhou United States 27 1.2k 1.1k 789 524 344 120 2.3k
Yves Tessier France 18 275 0.2× 577 0.5× 194 0.2× 140 0.3× 231 0.7× 37 1.6k
Phillip H. Paul United States 33 606 0.5× 258 0.2× 202 0.3× 298 0.6× 459 1.3× 79 3.3k
Guang‐Jun Guo China 25 165 0.1× 379 0.4× 136 0.2× 539 1.0× 459 1.3× 62 1.7k
Francisco J. Gordillo‐Vázquez Spain 26 290 0.2× 347 0.3× 517 0.7× 377 0.7× 66 0.2× 110 2.1k
R. Mitchell Spearrin United States 29 892 0.7× 726 0.7× 106 0.1× 357 0.7× 456 1.3× 110 2.9k
A. Skumanich United States 35 352 0.3× 142 0.1× 462 0.6× 175 0.3× 97 0.3× 174 5.0k
Ke‐Qing Xia Hong Kong 46 674 0.5× 2.6k 2.4× 299 0.4× 42 0.1× 158 0.5× 149 6.0k
Christopher S. Goldenstein United States 29 1.0k 0.8× 768 0.7× 119 0.2× 378 0.7× 414 1.2× 93 3.0k
P. W. Rosenkranz United States 25 3.1k 2.5× 2.1k 2.0× 60 0.1× 67 0.1× 308 0.9× 81 3.7k
T. G. Owano United States 17 323 0.3× 192 0.2× 228 0.3× 242 0.5× 57 0.2× 48 1.2k

Countries citing papers authored by Daniel K. Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Zhou. 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 Daniel K. Zhou. The network helps show where Daniel K. Zhou may publish in the future.

Co-authorship network of co-authors of Daniel K. Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Zhou. A scholar is included among the top collaborators of Daniel K. Zhou 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 Daniel K. Zhou. Daniel K. Zhou 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
2.
Wu, Wan, Xu Liu, Xiaozhen Xiong, et al.. (2023). Single field-of-view sounder atmospheric product retrieval algorithm: establishing radiometric consistency for hyper-spectral sounder retrievals. Atmospheric measurement techniques. 16(20). 4807–4832. 2 indexed citations
3.
Zhou, Daniel K., Allen M. Larar, Xu Liu, et al.. (2021). Wildfire-Induced CO Plume Observations From NAST-I During the FIREX-AQ Field Campaign. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 2901–2910. 2 indexed citations
4.
Safieddine, Sarah, M. George, Filipe Aires, et al.. (2020). Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI. Remote Sensing. 12(17). 2777–2777. 14 indexed citations
5.
Zhou, Daniel K., Allen M. Larar, Xu Liu, et al.. (2011). Ultraspectral sounding retrieval error budget and estimation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8177. 81770C–81770C. 1 indexed citations
6.
Zhou, Daniel K., et al.. (2010). Climatology data of IR land spectral emissivity derived from IASI 3-year measurements. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
7.
Larar, Allen M., William L. Smith, Daniel K. Zhou, et al.. (2010). IASI spectral radiance validation inter-comparisons: case study assessment from the JAIVEx field campaign. Atmospheric chemistry and physics. 10(2). 411–430. 41 indexed citations
8.
Zhou, Daniel K., Allen M. Larar, Xu Liu, et al.. (2010). Global Land Surface Emissivity Retrieved From Satellite Ultraspectral IR Measurements. IEEE Transactions on Geoscience and Remote Sensing. 49(4). 1277–1290. 90 indexed citations
9.
Smith, William L., Henry E. Revercomb, Gail E. Bingham, et al.. (2009). Technical Note: Evolution, current capabilities, and future advance in satellite nadir viewing ultra-spectral IR sounding of the lower atmosphere. Atmospheric chemistry and physics. 9(15). 5563–5574. 63 indexed citations
10.
Liu, Xu, Daniel K. Zhou, Allen M. Larar, William L. Smith, & Peter Schluessel. (2009). Radiative Transfer and Retrieval in EOF Domain. AIP conference proceedings. 283–286. 1 indexed citations
11.
Smith, William L., Henry E. Revercomb, Gail E. Bingham, et al.. (2009). Evolution, current capabilities, and future advances in satellite ultra-spectral IR sounding. 6 indexed citations
12.
Zhou, Daniel K., William L. Smith, Allen M. Larar, et al.. (2009). All weather IASI single field-of-view retrievals: case study – validation with JAIVEx data. Atmospheric chemistry and physics. 9(6). 2241–2255. 33 indexed citations
13.
Liu, X., Daniel K. Zhou, Allen M. Larar, et al.. (2009). Retrieval of atmospheric profiles and cloud properties from IASI spectra using super-channels. Atmospheric chemistry and physics. 9(23). 9121–9142. 54 indexed citations
14.
Liu, Xu, William L. Smith, Daniel K. Zhou, & Allen M. Larar. (2006). Principal component-based radiative transfer model for hyperspectral sensors: theoretical concept. Applied Optics. 45(1). 201–201. 133 indexed citations
15.
Zhou, Daniel K., Allen M. Larar, William L. Smith, & Xu Liu. (2006). Surface emissivity effects on thermodynamic retrieval of IR spectral radiance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6405. 64051H–64051H. 8 indexed citations
16.
Zhou, Daniel K., William L. Smith, Xu Liu, et al.. (2005). Tropospheric CO observed with the NAST-I retrieval methodology, analyses, and first results. Applied Optics. 44(15). 3032–3032. 9 indexed citations
17.
Liu, Xu, William L. Smith, Daniel K. Zhou, & Allen M. Larar. (2005). Principal Component-Based Radiative Transfer Model (PCRTM) for Hyperspectral Sensors. Part I; Theoretical Concept. 4 indexed citations
18.
Smith, William L., Jonathan P. Taylor, V. Cuomo, et al.. (2005). EAQUATE - An International Experiment For Hyper-spectral Atmospheric Sounding Validation. JMA4–JMA4. 2 indexed citations
19.
Liu, Xu, Jean‐Luc Moncet, Daniel K. Zhou, & William L. Smith. (2003). A Fast and Accurate Forward Model for NAST-I Instrument. OMB2–OMB2. 13 indexed citations
20.
Zhou, Daniel K., William L. Smith, & Allen M. Larar. (2002). NAST-I Results from the CLAMS Experiment. AGU Spring Meeting Abstracts. 2002. 1 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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