Huabing Huang

8.3k citations
95 papers · 3.2k indexed · 1 hit paper · h-index 28
Topics
Remote Sensing in Agriculture (38 papers)Remote Sensing and LiDAR Applications (34 papers)Land Use and Ecosystem Services (18 papers)

In The Last Decade

Huabing Huang

89 papers receiving 3.0k citations

Hit Papers

Mapping major land cover dynamics in Beijing using all La...20172026202020232017100200300

Peers

Huabing Huang
Comparison fields: 5 of 102
  • Global and Planetary Change 1.7k
  • Ecology 1.3k
  • Environmental Engineering 1.3k
  • Atmospheric Science 769
  • Nature and Landscape Conservation 417
Replace Min Feng with:
Min Feng China
Zhuosen Wang United States
M. Bock Germany
Douglas A. Stow United States
Xiaowen Li China
Anders Knudby Canada
Volker Wichmann Austria
Lars Gerlitz Germany
Christiane Schmullius Germany
Renaud Mathieu South Africa
Huabing Huang relative to Min Feng China Min Feng's profile →
Citations per field
00.5×1.6×
Min Feng · 1×
Citations per year

Countries citing papers authored by Huabing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Huabing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huabing Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Huabing Huang. A scholar is included among the top collaborators of Huabing Huang 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 Huabing Huang. Huabing Huang 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 2
2 1
3 2
4 1
5 5
6 7
7 23
8 7
9 13
10 9
11 9
12 2
13 8
14 17
15 4
16 16
17 8
18 84
19 0
20 48

About Huabing Huang

Huabing Huang is a scholar working on Environmental Engineering, Atmospheric Science and Ecology, having authored 95 papers that have together received 3.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (38 papers), Remote Sensing and LiDAR Applications (34 papers) and Land Use and Ecosystem Services (18 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Global and Planetary Change (1.7k citations) and Ecology (1.3k citations). Huabing Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peng Gong, Caixia Liu, Xiaoyi Wang, Xiao Cheng, Jie Wang, Jun Yang, Fengming Hui, Nicholas Clinton, Lü Liang and Le Yu. Their work appears in journals such as Remote Sensing of Environment, Global Change Biology and IEEE Transactions on Geoscience and Remote Sensing.

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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