Fida Hussain
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Yue ShenHui LiuMuhammad AbubakarSheeraz ArifRubén Morales-MenéndezYafei ZhangRizwan RazaGhazanfar Abbas
- Topics
- Power Quality and Harmonics (9 papers)Infrared Thermography in Medicine (5 papers)Thermoelastic and Magnetoelastic Phenomena (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Power SourcesIEEE Access
In The Last Decade
Fida Hussain
48 papers receiving 654 citations
Peers
Comparison fields: 5 of 107
- Electrical and Electronic Engineering 314
- Control and Systems Engineering 180
- Materials Chemistry 81
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 61
Countries citing papers authored by Fida Hussain
This map shows the geographic impact of Fida Hussain'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 Fida Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fida Hussain more than expected).
Fields of papers citing papers by Fida Hussain
This network shows the impact of papers produced by Fida Hussain. 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 Fida Hussain. The network helps show where Fida Hussain may publish in the future.
Co-authorship network of co-authors of Fida Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Fida Hussain. A scholar is included among the top collaborators of Fida Hussain 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 Fida Hussain. Fida Hussain 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 | 5 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 63 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 46 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | Trajectory-Based 3D Convolutional Descriptors for Human Action Recognition. | 3 |
| 13 | 41 | |
| 14 | 20 | |
| 15 | 29 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | Using End-to-End Bandwidth Estimates for Anomaly Detection beyond Enterprise Boundaries | 1 |
About Fida Hussain
Fida Hussain is a scholar working on Metals and Alloys, Computer Vision and Pattern Recognition and Health Information Management, having authored 53 papers that have together received 681 indexed citations. Recurring topics across this work include Power Quality and Harmonics (9 papers), Infrared Thermography in Medicine (5 papers) and Thermoelastic and Magnetoelastic Phenomena (5 papers). The work is most often cited by research in Control and Systems Engineering (180 citations), Electrical and Electronic Engineering (314 citations) and Automotive Engineering (41 citations). Fida Hussain has collaborated with scholars based in China, Pakistan and India. Frequent co-authors include Yue Shen, Hui Liu, Muhammad Abubakar, Sheeraz Arif, Hui Liu, Hui Liu, Rubén Morales-Menéndez, Yafei Zhang, Rizwan Raza and Ghazanfar Abbas. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and IEEE Access.
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.