Jianhao Gao

1.8k citations
9 papers · 1.4k indexed · 1 hit paper · h-index 7
Topics
Advanced Image Fusion Techniques (6 papers)Image and Signal Denoising Methods (5 papers)Remote-Sensing Image Classification (5 papers)
Partner nations
China

In The Last Decade

Jianhao Gao

9 papers receiving 1.3k citations

Hit Papers

Deep learning in environmental remote sensing: Achievemen...202020262022202420202505007501000

Peers

Jianhao Gao
Comparison fields: 5 of 90
  • Media Technology 471
  • Environmental Engineering 451
  • Ecology 415
  • Global and Planetary Change 347
  • Atmospheric Science 324
Replace Hongzhang Xu with:
Hongzhang Xu China
Xiaoxue Ma China
Fuan Tsai Taiwan
Mohammad Javad Valadan Zoej Iran
Mahdi Hasanlou Iran
Marco Körner Germany
Jiancheng Luo China
Yanlan Wu China
Raffaele Gaetano France
Andreas Schmitt Germany
Jianhao Gao relative to Hongzhang Xu China Hongzhang Xu's profile →
Citations per field
00.5×1.5×
Hongzhang Xu · 1×
Citations per year

Countries citing papers authored by Jianhao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jianhao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhao Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhao Gao. A scholar is included among the top collaborators of Jianhao Gao 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 Jianhao Gao. Jianhao Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 5
2 7
3 11
4 21
5 16
6 129
7
Deep learning in environmental remote sensing: Achievements and challengesbreakdown →
1172
8 6
9 1

About Jianhao Gao

Jianhao Gao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Geology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Media Technology (471 citations), Environmental Engineering (451 citations) and Atmospheric Science (324 citations). Jianhao Gao has collaborated with scholars based in China. Frequent co-authors include Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen, Yun Jiang, Qianqian Yang, Shuwen Li, Tongwen Li, Zhiwei Li, Hongzhang Xu and Jiwen Wang. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

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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