Fangfang Yu

1.5k total citations
61 papers, 1.0k citations indexed

About

Fangfang Yu is a scholar working on Aerospace Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Fangfang Yu has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Aerospace Engineering, 38 papers in Atmospheric Science and 21 papers in Global and Planetary Change. Recurrent topics in Fangfang Yu's work include Calibration and Measurement Techniques (42 papers), Atmospheric Ozone and Climate (33 papers) and Infrared Target Detection Methodologies (17 papers). Fangfang Yu is often cited by papers focused on Calibration and Measurement Techniques (42 papers), Atmospheric Ozone and Climate (33 papers) and Infrared Target Detection Methodologies (17 papers). Fangfang Yu collaborates with scholars based in United States, China and Germany. Fangfang Yu's co-authors include Xiangqian Wu, James E. Ellis, Kevin P. Price, Peijun Shi, Tim J. Hewison, Xiuqing Hu, Dohyeong Kim, Yoshihiko Tahara, Marianne Koenig and Likun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Fangfang Yu

53 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangfang Yu United States 14 579 519 393 358 129 61 1.0k
Béatrice Berthelot France 10 578 1.0× 345 0.7× 683 1.7× 209 0.6× 48 0.4× 23 1.2k
Masahiro Nishihama United States 8 349 0.6× 318 0.6× 273 0.7× 216 0.6× 28 0.2× 14 719
S. S. Saatchi United States 14 226 0.4× 249 0.5× 368 0.9× 315 0.9× 48 0.4× 53 969
H. Karszenbaum Argentina 15 375 0.6× 214 0.4× 341 0.9× 131 0.4× 18 0.1× 60 812
Michael J. Choate United States 11 273 0.5× 204 0.4× 288 0.7× 176 0.5× 20 0.2× 34 705
Shihao Tang China 17 649 1.1× 635 1.2× 239 0.6× 136 0.4× 14 0.1× 84 1.1k
Jyoteshwar Nagol United States 11 669 1.2× 292 0.6× 678 1.7× 43 0.1× 125 1.0× 16 1.1k
Jordan S. Borak United States 12 459 0.8× 266 0.5× 339 0.9× 39 0.1× 46 0.4× 18 779
F.J. Ahern Canada 13 388 0.7× 143 0.3× 524 1.3× 168 0.5× 43 0.3× 48 881
C. R. Nagaraja Rao United States 16 854 1.5× 706 1.4× 372 0.9× 344 1.0× 39 0.3× 44 1.3k

Countries citing papers authored by Fangfang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Yu. A scholar is included among the top collaborators of Fangfang Yu 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 Fangfang Yu. Fangfang Yu 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
1.
2.
Iacovazzi, R., Haifeng Qian, Xiangqian Wu, Xi Shao, & Fangfang Yu. (2020). GOES-16 Advanced Baseline Imager instrument performance monitor. Journal of Applied Remote Sensing. 14(1). 1–1. 3 indexed citations
3.
Wu, Xiangqian, C. C. Schmidt, Fangfang Yu, & Zhipeng Wang. (2020). Investigation of GOES-R ABI cold pixels around fire. 43–43. 1 indexed citations
4.
Li, Zhenglong, Jun Li, Mathew M. Gunshor, et al.. (2019). Homogenized Water Vapor Absorption Band Radiances From International Geostationary Satellites. Geophysical Research Letters. 46(17-18). 10599–10608. 7 indexed citations
5.
Yu, Fangfang, et al.. (2019). Radiometric calibration performance of GOES-17 Advanced Baseline Imager (ABI). NOAA Institutional Repository. 7456. 48–48. 8 indexed citations
6.
Yu, Fangfang, et al.. (2018). Evaluation of radiometric calibration consistency of GOES-17 ABI using GEO-GEO collocations. AGUFM. 2018. 2 indexed citations
7.
Yu, Fangfang, et al.. (2018). Applications of GOES-16 ABI Lunar North-South Scan (NSS): Detector Out-of-Field, Blooming and Uniformity Responses. Digital Commons - USU (Utah State University). 1 indexed citations
8.
Yu, Fangfang & Xiangqian Wu. (2016). Radiometric Inter-Calibration between Himawari-8 AHI and S-NPP VIIRS for the Solar Reflective Bands. Remote Sensing. 8(3). 165–165. 54 indexed citations
9.
Shao, Xi, Xiangqian Wu, & Fangfang Yu. (2016). Characterization of Himawari-8 AHI 3.9-um channel stray light. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9972. 99720R–99720R. 3 indexed citations
10.
Yu, Fangfang, et al.. (2014). Intercalibration of GOES Imager visible channels over the Sonoran Desert. Journal of Geophysical Research Atmospheres. 119(14). 8639–8658. 14 indexed citations
11.
Wu, Xiangqian, Timothy J. Schmit, Chris Schmidt, et al.. (2014). Geostationary Operational Environmental Satellite Imager infrared channel-to-channel co-registration characterization algorithm and its implementation in the ground system. Journal of Applied Remote Sensing. 8(1). 83530–83530. 1 indexed citations
12.
Wu, Xiangqian & Fangfang Yu. (2013). Correction for GOES Imager Spectral Response Function Using GSICS. Part I: Theory. IEEE Transactions on Geoscience and Remote Sensing. 51(3). 1215–1223. 23 indexed citations
13.
Yu, Fangfang & Xiangqian Wu. (2013). Correction for GOES Imager Spectral Response Function Using GSICS. Part II: Applications. IEEE Transactions on Geoscience and Remote Sensing. 51(3). 1200–1214. 15 indexed citations
14.
Yu, Fangfang & Xiangqian Wu. (2012). Radiometric Calibration Accuracy of GOES Sounder Infrared Channels. IEEE Transactions on Geoscience and Remote Sensing. 51(3). 1187–1199. 10 indexed citations
15.
Wu, Xiangqian, et al.. (2011). Vicarious calibration of GOES visible channel using GOME-2. 1033–1035. 7 indexed citations
16.
Wu, Xiangqian, et al.. (2010). Extended inter-comparison of collocated MetOp-A AVHRR-IASI brightness temperature data and its implication for AVHRR calibration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7811. 781107–781107.
17.
Wu, Xiangqian, et al.. (2010). In-orbit health and performance of operational AVHRR instruments. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7808. 780814–780814. 2 indexed citations
18.
Yu, Fangfang, et al.. (2009). GSICS GEO-LEO inter-calibration: operation status at NOAA/NESDIS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7456. 74560A–74560A. 3 indexed citations
19.
Yu, Fangfang, Kevin P. Price, James E. Ellis, Johannes J. Feddema, & Peijun Shi. (2004). Interannual variations of the grassland boundaries bordering the eastern edges of the Gobi Desert in central Asia. International Journal of Remote Sensing. 25(2). 327–346. 52 indexed citations
20.
Hariri, Salim, et al.. (2002). A message passing interface for parallel and distributed computing. 84–91. 3 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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