Gang Hong

3.7k total citations · 1 hit paper
98 papers, 2.6k citations indexed

About

Gang Hong is a scholar working on Atmospheric Science, Global and Planetary Change and Media Technology. According to data from OpenAlex, Gang Hong has authored 98 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atmospheric Science, 46 papers in Global and Planetary Change and 16 papers in Media Technology. Recurrent topics in Gang Hong's work include Atmospheric aerosols and clouds (40 papers), Atmospheric chemistry and aerosols (24 papers) and Atmospheric Ozone and Climate (17 papers). Gang Hong is often cited by papers focused on Atmospheric aerosols and clouds (40 papers), Atmospheric chemistry and aerosols (24 papers) and Atmospheric Ozone and Climate (17 papers). Gang Hong collaborates with scholars based in United States, Canada and China. Gang Hong's co-authors include Yun Zhang, Ping Yang, Patrick Minnis, Georg Heygster, George W. Kattawar, K. Künzi, Yongxiang Hu, Jungang Miao, Szedung Sun‐Mack and Bryan A. Baum and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Applied Physics Letters and Remote Sensing of Environment.

In The Last Decade

Gang Hong

92 papers receiving 2.5k citations

Hit Papers

CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Hong United States 31 1.7k 1.6k 384 357 262 98 2.6k
Heikki Saari Finland 23 1.5k 0.9× 1.3k 0.8× 271 0.7× 453 1.3× 145 0.6× 73 3.5k
Charles M. Sarture United States 11 535 0.3× 441 0.3× 890 2.3× 248 0.7× 255 1.0× 25 1.8k
Ronald B. Lockwood United States 16 484 0.3× 379 0.2× 439 1.1× 364 1.0× 111 0.4× 65 1.4k
Xiangqian Wu United States 30 2.6k 1.6× 2.3k 1.4× 69 0.2× 942 2.6× 78 0.3× 167 3.4k
Thomas G. Chrien United States 11 737 0.4× 547 0.3× 1.3k 3.4× 562 1.6× 350 1.3× 45 2.7k
Dong Liu China 22 1.6k 1.0× 1.7k 1.0× 96 0.3× 75 0.2× 67 0.3× 108 2.1k
J. Faust United States 7 463 0.3× 307 0.2× 831 2.2× 211 0.6× 245 0.9× 22 1.6k
Orlesa Williams United States 3 449 0.3× 296 0.2× 814 2.1× 195 0.5× 230 0.9× 4 1.5k
Xiong Xu China 21 393 0.2× 340 0.2× 665 1.7× 132 0.4× 315 1.2× 80 1.4k

Countries citing papers authored by Gang Hong

Since Specialization
Citations

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

Fields of papers citing papers by Gang Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Hong. A scholar is included among the top collaborators of Gang Hong 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 Gang Hong. Gang Hong 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.
Djamai, Najib, Richard Fernandes, Gang Hong, et al.. (2025). On the consistency and stability of vegetation biophysical variables retrievals from Landsat-8/9 and Sentinel-2. ISPRS Journal of Photogrammetry and Remote Sensing. 224. 329–347. 1 indexed citations
2.
Sun‐Mack, Sunny, Patrick Minnis, Yan Chen, Gang Hong, & William L. Smith. (2024). Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network. Atmospheric measurement techniques. 17(10). 3323–3346. 1 indexed citations
3.
Fernandes, Richard, Gang Hong, Luke A. Brown, et al.. (2024). Not just a pretty picture: Mapping Leaf Area Index at 10 m resolution using Sentinel-2. Remote Sensing of Environment. 311. 114269–114269. 3 indexed citations
4.
Minnis, Patrick, Sunny Sun‐Mack, William L. Smith, et al.. (2023). VIIRS Edition 1 Cloud Properties for CERES, Part 1: Algorithm Adjustments and Results. Remote Sensing. 15(3). 578–578. 3 indexed citations
5.
Zhang, Yu, R. Touzi, Wanpeng Feng, et al.. (2021). Landscape‐scale variations in near‐surface soil temperature and active‐layer thickness: Implications for high‐resolution permafrost mapping. Permafrost and Periglacial Processes. 32(4). 627–640. 16 indexed citations
6.
Hong, Gang, et al.. (2020). Boundedness of Fractional Integral Operators Containing Mittag-Leffler Function via Exponentially s-Convex Functions. Journal of Mathematics. 2020. 1–7. 7 indexed citations
7.
Loeb, Norman G., Ping Yang, Fred G. Rose, et al.. (2017). Impact of Ice Cloud Microphysics on Satellite Cloud Retrievals and Broadband Flux Radiative Transfer Model Calculations. Journal of Climate. 31(5). 1851–1864. 38 indexed citations
8.
Hong, Gang. (2013). Example of an upgrading project of sewage treatment plants in North China. 1 indexed citations
9.
Minnis, Patrick, David R. Doelling, Rabindra Palikonda, et al.. (2011). Improved Cloud and Surface Properties By Combining Conventional and L-1 Satellite Imager Data. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
10.
Hong, Gang. (2010). An Analysis of the Compositional Meaning of the Multimodal Video Discourse "You and Me". 2 indexed citations
11.
Hong, Gang. (2010). Parameter optimization of least squares support vector machine based on improved particle swarm optimization in fault diagnosis of transformer. Power System Protection and Control. 3 indexed citations
12.
Hong, Gang. (2010). Features of Vibration Signal of Transformer Based on the Wavelet Packet Energy Entropy. Power System and Clean Energy.
13.
Oreopoulos, Lazaros, Steven Platnick, Gang Hong, Ping Yang, & Robert F. Cahalan. (2009). The shortwave radiative forcing bias of liquid and ice clouds from MODIS observations. Atmospheric chemistry and physics. 9(16). 5865–5875. 10 indexed citations
14.
Oreopoulos, Lazaros, Steven Platnick, Gang Hong, Ping Yang, & Robert F. Cahalan. (2009). The Shortwave Radiative Forcing Bias of Homogeneous Liquid and Ice Clouds Observed by MODIS. AIP conference proceedings. 569–572. 1 indexed citations
15.
Hong, Gang, et al.. (2008). Do contrails significantly reduce daily temperature range?. Geophysical Research Letters. 35(23). 17 indexed citations
16.
Hong, Gang & Yun Zhang. (2008). Wavelet-based image registration technique for high-resolution remote sensing images. Computers & Geosciences. 34(12). 1708–1720. 78 indexed citations
17.
Hong, Gang. (2007). Image fusion, image registration, and radiometric normalization for high resolution image processing. PhDT. 11 indexed citations
18.
Hong, Gang. (2007). Radar backscattering properties of nonspherical ice crystals at 94 GHz. Journal of Geophysical Research Atmospheres. 112(D22). 51 indexed citations
19.
Zhang, Yun & Gang Hong. (2004). An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images. Information Fusion. 6(3). 225–234. 177 indexed citations
20.
Hong, Gang. (2001). Methodological Study on the Estimate of Regional Surface Fluxes over the HUAIHE River Basin Area with Satellite Remote Sensing. 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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