Bohao Huang

1.0k citations
35 papers · 712 indexed · 1 hit paper · h-index 11
Topics
Advanced Neural Network Applications (12 papers)Advanced Image and Video Retrieval Techniques (7 papers)Remote-Sensing Image Classification (6 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Bohao Huang

34 papers receiving 688 citations

Hit Papers

Deep learning for accelerated all-dielectric metasurface ...20192026202120232019100200300

Peers

Bohao Huang
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 201
  • Electronic, Optical and Magnetic Materials 190
  • Aerospace Engineering 134
  • Mechanical Engineering 118
  • Artificial Intelligence 101
Replace Walter Nsengiyumva with:
Walter Nsengiyumva China
Hao Fu China
Jianxing Leng China
Junwoo Park South Korea
Jinlong Xie China
Baohua Liu China
Fernando López Canada
Julius Yellowhair United States
Vaibhav Verma India
Bohao Huang relative to Walter Nsengiyumva China Walter Nsengiyumva's profile →
Citations per field
00.5×5.4×
Walter Nsengiyumva · 1×
Citations per year

Countries citing papers authored by Bohao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Bohao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bohao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Bohao Huang. A scholar is included among the top collaborators of Bohao 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 Bohao Huang. Bohao 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
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Deep learning for accelerated all-dielectric metasurface designbreakdown →
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Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps.
2
19 70
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Ambient noise levels in the Taiwan region
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About Bohao Huang

Bohao Huang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 35 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (12 citations), Developmental Biology (29 citations) and Electronic, Optical and Magnetic Materials (190 citations). Bohao Huang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jordan M. Malof, Christian C. Nadell, Willie J. Padilla, Kyle Bradbury, Sih‐Li Chen, Leslie M. Collins, Yuan-Ching Chiang, Chien-Yeh Hsu, Motaz El-Saban and Sébastien Lefèvre. Their work appears in journals such as Applied Energy, Optics Express and Energy.

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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