Daniel K. Zhou

3.6k citations
120 papers · 2.3k indexed · h-index 27
Topics
Atmospheric Ozone and Climate (64 papers)Calibration and Measurement Techniques (39 papers)Meteorological Phenomena and Simulations (37 papers)

In The Last Decade

Daniel K. Zhou

114 papers receiving 2.2k citations

Peers

Daniel K. Zhou
Comparison fields: 5 of 76
  • Atmospheric Science 1.2k
  • Global and Planetary Change 1.1k
  • Materials Chemistry 789
  • Mechanics of Materials 524
  • Aerospace Engineering 344
Replace Steven W. Brown with:
Steven W. Brown United States
Guang‐Jun Guo China
Francisco J. Gordillo‐Vázquez Spain
Yves Tessier France
Phillip H. Paul United States
А. В. Филиппов Russia
T. G. Owano United States
Michael de Podesta United Kingdom
G. E. Peckham United Kingdom
P. W. Rosenkranz United States
Daniel K. Zhou relative to Steven W. Brown United States Steven W. Brown's profile →
Citations per field
00.5×7.6×
Steven W. Brown · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 2
4 14
5 1
6
Climatology data of IR land spectral emissivity derived from IASI 3-year measurements
1
7 41
8 90
9 63
10 1
11 6
12 33
13 54
14 133
15 8
16 9
17
Principal Component-Based Radiative Transfer Model (PCRTM) for Hyperspectral Sensors. Part I; Theoretical Concept
4
18 2
19 13
20
NAST-I Results from the CLAMS Experiment
1

About Daniel K. Zhou

Daniel K. Zhou is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering, having authored 120 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atmospheric Ozone and Climate (64 papers), Calibration and Measurement Techniques (39 papers) and Meteorological Phenomena and Simulations (37 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Global and Planetary Change (1.1k citations) and Mechanics of Materials (524 citations). Daniel K. Zhou has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Physics and Journal of The Electrochemical Society.

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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