Haoyu Wang

779 citations
52 papers · 479 · h-index 13

Impact in

Papers in

Haoyu Wang

39 papers receiving 467 citations

Peers

Haoyu Wang
Comparison fields: 5 of 103
  • Earth-Surface Processes 47
  • Media Technology 49
  • Atmospheric Science 89
  • Artificial Intelligence 113
  • Computer Vision and Pattern Recognition 66
Replace Takashi Fuse with:
Takashi Fuse Japan
Khalid Minaoui Morocco
Jinah Kim South Korea
Cong He China
Yuxin Zhu China
Wei Hao China
Zekun Wang China
Kaimin Wang China
Chia-Yu Hsu United States
Haoyu Wang relative to Takashi Fuse Japan Takashi Fuse's profile →
Citations per field
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Takashi Fuse · 1×
Citations per year

Countries citing papers authored by Haoyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haoyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202271
2 202244
3 202337
4 202333
5 201929
6 202125
7 202124
8 201823
9 202322
10 202518
11 202416
12 202215
13 202214
14 202111
15 202011
16 202310
17 20218
18 20228
19 20208
20 20236

About Haoyu Wang

Haoyu Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Earth-Surface Processes, Atmospheric Science and Biomedical Engineering, having authored 52 papers that have together received 479 indexed citations. Recurring topics across this work include Geological formations and processes (7 papers), Geology and Paleoclimatology Research (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Remote-Sensing Image Classification (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Vacuum and Plasma Arcs (3 papers), Advanced Neural Network Applications (3 papers) and Aeolian processes and effects (3 papers). The work is most often cited by research in Earth-Surface Processes (47 citations), Media Technology (49 citations), Atmospheric Science (89 citations), Artificial Intelligence (113 citations) and Computer Vision and Pattern Recognition (66 citations). Haoyu Wang has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Xiuyuan Zhang, Shihong Du, Bo Liu, Yihan Zhang, Yuzhu Zhang, Chun Chang Huang, Yuzhong Peng, Weiming Huang, Gao Cong and Bo Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Frontiers in Earth Science, Remote Sensing, IEEE Robotics and Automation Letters and IEEE Transactions on Plasma Science.

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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