Anbu Huang

645 total citations
6 papers, 333 citations indexed

About

Anbu Huang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anbu Huang has authored 6 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Anbu Huang's work include Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (2 papers) and Advanced Data and IoT Technologies (1 paper). Anbu Huang is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (2 papers) and Advanced Data and IoT Technologies (1 paper). Anbu Huang collaborates with scholars based in Hong Kong, Singapore and Malaysia. Anbu Huang's co-authors include Qiang Yang, Han Yu, Tianjian Chen, He Huang, Youzhi Liu, Yun Luo, Yuanyuan Chen, Yang Liu, Yang Liu and Ce Ju and has published in prestigious journals such as AI Magazine, ACM Transactions on Intelligent Systems and Technology and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Anbu Huang

6 papers receiving 323 citations

Peers

Anbu Huang
Comparison fields: 5 of 55
  • Artificial Intelligence 275
  • Computer Vision and Pattern Recognition 46
  • Information Systems 44
  • Computer Science Applications 43
  • Electrical and Electronic Engineering 42
Replace Huadi Zheng with:
Huadi Zheng Hong Kong
Hongsheng Hu Australia
Nithin Raj India
Ali Shahin Shamsabadi United Kingdom
Zhida Jiang China
Jianheng Tang China
Roman Kolcun United Kingdom
Peng Tang China
Siyao Wang China
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Huadi Zheng Hong Kong View profile →
Citations per field, relative to Anbu Huang
Anbu Huang · 1×
Citations per year, relative to Anbu Huang
Anbu Huang · 1×

Countries citing papers authored by Anbu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Anbu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anbu Huang

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 25
2 38
3 5
4
SolarNet: A Deep Learning Framework to Map Solar Plants In China From Satellite Imagery
4
5 192
6 69

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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