Muhammad Mateen
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Ophthalmology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Nasrullah NasrullahJunhao WenSong SunJun SangShaukat HayatHaibo HuMohammad S. AlamBin Cai
- Topics
- Retinal Imaging and Analysis (6 papers)Digital Imaging for Blood Diseases (3 papers)Retinal Diseases and Treatments (3 papers)
- Partner nations
- ChinaPakistanSouth Korea
In The Last Decade
Muhammad Mateen
19 papers receiving 978 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Radiology, Nuclear Medicine and Imaging 497
- Computer Vision and Pattern Recognition 263
- Artificial Intelligence 214
- Ophthalmology 169
- Pulmonary and Respiratory Medicine 146
Countries citing papers authored by Muhammad Mateen
This map shows the geographic impact of Muhammad Mateen'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 Mateen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Mateen more than expected).
Fields of papers citing papers by Muhammad Mateen
This network shows the impact of papers produced by Muhammad Mateen. 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 Mateen. The network helps show where Muhammad Mateen may publish in the future.
Co-authorship network of co-authors of Muhammad Mateen
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Mateen. A scholar is included among the top collaborators of Muhammad Mateen 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 Mateen. Muhammad Mateen 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 | 3 | |
| 4 | 52 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 79 | |
| 11 | 82 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategiesbreakdown → | 236 |
| 15 | 4 | |
| 16 | 19 | |
| 17 | 19 | |
| 18 | 27 | |
| 19 | Fundus Image Classification Using VGG-19 Architecture with PCA and SVDbreakdown → | 444 |
| 20 | 2 |
About Muhammad Mateen
Muhammad Mateen is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (497 citations), Health Information Management (99 citations) and Ophthalmology (169 citations). Muhammad Mateen has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Nasrullah Nasrullah, Junhao Wen, Song Sun, Jun Sang, Shaukat Hayat, Haibo Hu, Mohammad S. Alam, Bin Cai, Mehdi Hassan and Nasrullah Nasrullah. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.
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.