Zhangjin Huang
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Virology top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Co-authors
- Naijie GuGuoping WangLu ZouMohammad S. IslamMM RahmanMd. Ibrahim AbdullahMd. Shamim HossainMd. Alamgir Hossain
- Topics
- Advanced Numerical Analysis Techniques (10 papers)Human Pose and Action Recognition (8 papers)Computational Geometry and Mesh Generation (5 papers)
- Journals
- IEEE Transactions on Image ProcessingExpert Systems with ApplicationsIEEE Transactions on Biomedical Engineering
- Partner nations
- ChinaBangladeshAustralia
In The Last Decade
Zhangjin Huang
36 papers receiving 337 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 135
- Computational Mechanics 79
- Virology 75
- Control and Systems Engineering 53
- Artificial Intelligence 46
Countries citing papers authored by Zhangjin Huang
This map shows the geographic impact of Zhangjin 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 Zhangjin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhangjin Huang more than expected).
Fields of papers citing papers by Zhangjin Huang
This network shows the impact of papers produced by Zhangjin 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 Zhangjin Huang. The network helps show where Zhangjin Huang may publish in the future.
Co-authorship network of co-authors of Zhangjin Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhangjin Huang. A scholar is included among the top collaborators of Zhangjin 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 Zhangjin Huang. Zhangjin 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 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classificationbreakdown → | 98 |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 9 | |
| 19 | Dimensions of Spline Spaces over General T-meshes | 5 |
| 20 | Ternary wavelets and their applications to signal compression | 3 |
About Zhangjin Huang
Zhangjin Huang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 41 papers that have together received 346 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (10 papers), Human Pose and Action Recognition (8 papers) and Computational Geometry and Mesh Generation (5 papers). The work is most often cited by research in Virology (75 citations), Computer Graphics and Computer-Aided Design (33 citations) and Computer Vision and Pattern Recognition (135 citations). Zhangjin Huang has collaborated with scholars based in China, Bangladesh and Australia. Frequent co-authors include Naijie Gu, Guoping Wang, Lu Zou, Mohammad S. Islam, MM Rahman, Md. Ibrahim Abdullah, Md. Shamim Hossain, Md. Alamgir Hossain, Balachandran Manavalan and Jiansong Deng. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.