Hao Huang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Information Systems top 10%
- Co-authors
- Shinjae YooDantong YuKevin ChiewQinming HeShiva Prasad KasiviswanathanHong QinShihe YangYunjun Gao
- Topics
- Anomaly Detection Techniques and Applications (19 papers)Complex Network Analysis Techniques (19 papers)Face and Expression Recognition (10 papers)
- Journals
- The Journal of Physical Chemistry BAmerican Journal of Obstetrics and GynecologyExpert Systems with Applications
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hao Huang
74 papers receiving 651 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 376
- Computer Vision and Pattern Recognition 120
- Computer Networks and Communications 117
- Signal Processing 102
- Information Systems 85
Countries citing papers authored by Hao Huang
This map shows the geographic impact of Hao 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 Hao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Huang more than expected).
Fields of papers citing papers by Hao Huang
This network shows the impact of papers produced by Hao 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 Hao Huang. The network helps show where Hao Huang may publish in the future.
Co-authorship network of co-authors of Hao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Huang. A scholar is included among the top collaborators of Hao 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 Hao Huang. Hao 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 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 38 |
About Hao Huang
Hao Huang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing, having authored 89 papers that have together received 665 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (19 papers), Complex Network Analysis Techniques (19 papers) and Face and Expression Recognition (10 papers). The work is most often cited by research in Artificial Intelligence (376 citations), Signal Processing (102 citations) and Statistical and Nonlinear Physics (82 citations). Hao Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shinjae Yoo, Dantong Yu, Kevin Chiew, Qinming He, Shiva Prasad Kasiviswanathan, Hong Qin, Shihe Yang, Yunjun Gao, X. X. Zhang and Dong Huang. Their work appears in journals such as The Journal of Physical Chemistry B, American Journal of Obstetrics and Gynecology and Expert Systems with Applications.
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.