Muhammad Hassan
- Plant Science
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Biomaterials
- Topics
- AI in cancer detection (3 papers)Smart Agriculture and AI (2 papers)COVID-19 diagnosis using AI (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Muhammad Hassan
27 papers receiving 235 citations
Peers
Comparison fields: 5 of 79
- Plant Science 77
- Biomedical Engineering 48
- Computer Vision and Pattern Recognition 42
- Artificial Intelligence 29
- Biomaterials 25
Countries citing papers authored by Muhammad Hassan
This map shows the geographic impact of Muhammad Hassan'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 Muhammad Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Hassan more than expected).
Fields of papers citing papers by Muhammad Hassan
This network shows the impact of papers produced by Muhammad Hassan. 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 Muhammad Hassan. The network helps show where Muhammad Hassan may publish in the future.
Co-authorship network of co-authors of Muhammad Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Hassan. A scholar is included among the top collaborators of Muhammad Hassan 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 Muhammad Hassan. Muhammad Hassan 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | THE INFLUENCE OF USING MIND MAPPING TECHNIQUE ON THE STUDENTS IN WRITING RECOUNT TEXT AT SMP TUNAS PELITA BINJAI | 0 |
| 17 | 1 | |
| 18 | AN INVESTIGATION TOWARDS ISSUES AND CHALLENGES IN MEDICAL IMAGE REGISTRATION | 5 |
| 19 | EFFECT OF RISING HABIT ON HUMAN HEALTH USING ECG SIGNALS | 0 |
| 20 | Development of tolerance of the cotton leafworm, Spodoptera littoralis Boisd., to currently applied insecticides. | 1 |
About Muhammad Hassan
Muhammad Hassan is a scholar working on Process Chemistry and Technology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 242 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Smart Agriculture and AI (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Plant Science (77 citations), Computer Vision and Pattern Recognition (42 citations) and Biomaterials (25 citations). Muhammad Hassan has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Youhua Zhang, Xi Cheng, Iftikhar Ahmad, Yayun Yang, Yunzhi Wu, Yi Yue, Chen Ye, You Zhou, Dong Xu and Di Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.
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.