Hantao Huang
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Endocrinology, Diabetes and Metabolism
- Computer Networks and Communications
- Topics
- Advanced Memory and Neural Computing (9 papers)Machine Learning and ELM (7 papers)3D IC and TSV technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Computers
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Hantao Huang
42 papers receiving 429 citations
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 199
- Artificial Intelligence 94
- Computer Vision and Pattern Recognition 68
- Endocrinology, Diabetes and Metabolism 55
- Computer Networks and Communications 46
Countries citing papers authored by Hantao Huang
This map shows the geographic impact of Hantao 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 Hantao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hantao Huang more than expected).
Fields of papers citing papers by Hantao Huang
This network shows the impact of papers produced by Hantao 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 Hantao Huang. The network helps show where Hantao Huang may publish in the future.
Co-authorship network of co-authors of Hantao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Hantao Huang. A scholar is included among the top collaborators of Hantao 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 Hantao Huang. Hantao Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 63 | |
| 6 | Work-in-progress: a fast online sequential learning accelerator for IoT network intrusion detection | 2 |
| 7 | 25 | |
| 8 | 3 | |
| 9 | 51 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 19 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | Association Study between ENPP1 Gene K121Q Polymorphism and Type 2 Diabetes | 1 |
About Hantao Huang
Hantao Huang is a scholar working on Electrical and Electronic Engineering, Health Information Management and Artificial Intelligence, having authored 44 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Machine Learning and ELM (7 papers) and 3D IC and TSV technologies (6 papers). The work is most often cited by research in Computational Mathematics (14 citations), Hardware and Architecture (33 citations) and Electrical and Electronic Engineering (199 citations). Hantao Huang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Hao Yu, Hao Yu, Hang Xu, Leibin Ni, Wei Han, Tao Han, Chun Zhang, Zichuan Liu, Rajiv Joshi and Jie Min. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Computers.
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.