Hongwen Kang

609 citations
16 papers · 509 indexed · h-index 10

Hongwen Kang

16 papers receiving 485 citations

Peers

Hongwen Kang
Comparison fields: 5 of 59
  • Atmospheric Science 335
  • Global and Planetary Change 373
  • Computer Vision and Pattern Recognition 94
  • Oceanography 43
  • Environmental Engineering 42
Replace Hans‐Stefan Bauer with:
Hans‐Stefan Bauer Germany
Aidan Clark United Kingdom
Rachel Prudden United Kingdom
Chao-Cheng Wu Taiwan
Thomas Vandal United States
Xin Xu China
S. Pezzulli United Kingdom
D. Pagès Spain
M. A. Fitzsimons United Kingdom
Kevin L. Manross United States
Hongwen Kang relative to Hans‐Stefan Bauer Germany Hans‐Stefan Bauer's profile →
Citations per field
00.5×1.5×2.1×
Hans‐Stefan Bauer · 1×
Citations per year

Countries citing papers authored by Hongwen Kang

Since Specialization
Citations

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

Fields of papers citing papers by Hongwen Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 202218
2 2013152
3 20114
4 201129
5 200910
6 20097
7 200925
8 200936
9 200939
10 200861
11 20073
12 200740
13 200574
14
THE MODELING IMPROVEMENT OF HURRICANE ANDREW BY THE TECHNIQUE OF IRREVERSIBLE THERMODYNAMIC OPERATORS
20021
15 20021
16 20029

About Hongwen Kang

Hongwen Kang is a scholar working on Atmospheric Science, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 509 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (10 papers), Climate variability and models (8 papers), Advanced Image and Video Retrieval Techniques (4 papers), Cryospheric studies and observations (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Vision and Imaging (2 papers), Climate change and permafrost (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Atmospheric Science (335 citations), Global and Planetary Change (373 citations) and Computer Vision and Pattern Recognition (94 citations). Hongwen Kang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chung‐Kyu Park, Da‐Lin Zhang, Martial Hebert, Yong-Hui Lin, Yihui Ding, Takeo Kanade, Ping Zhao, Congwen Zhu, Woosung Lee and Cheng‐Ta Chen. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

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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