Saeed Anwar
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- Advanced Image Processing Techniques 20
- Advanced Neural Network Applications 16
- Image Enhancement Techniques 12
- Advanced Vision and Imaging 11
- Image and Signal Denoising Methods 10
- Media Technology top 0.2%
- Image Processing Techniques and Applications 9
- Geology top 1%
- Computational Mechanics top 2%
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- Nanofluid Flow and Heat Transfer 13
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- Heat Transfer Mechanisms 10
- Co-authors
- Chongyi LiNick BarnesFatih PorikliShi QiuSalman KhanDeng-Ping FanFatemeh Sadat SalehYuchao Dai
- Journals
- Information Fusion (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Electronics (2 papers)
- Partner nations
- AustraliaSaudi ArabiaPakistan
In The Last Decade
Saeed Anwar
88 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 2.9k
- Media Technology 1.0k
- Geology 352
- Computer Graphics and Computer-Aided Design 146
- Computational Mechanics 489
Countries citing papers authored by Saeed Anwar
This map shows the geographic impact of Saeed Anwar'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 Saeed Anwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Anwar more than expected).
Fields of papers citing papers by Saeed Anwar
This network shows the impact of papers produced by Saeed Anwar. 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 Saeed Anwar. The network helps show where Saeed Anwar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saeed Anwar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | A Comprehensive Overview of Large Language Modelsbreakdown → | 2025 | 72 |
| 5 | 2024 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 51 | |
| 12 | 2023 | 25 | |
| 13 | 2023 | 44 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 65 | |
| 16 | 2022 | 62 | |
| 17 | Geometric Back-Projection Network for Point Cloud Classificationbreakdown → | 2021 | 169 |
| 18 | 2021 | 26 | |
| 19 | 2008 | 1 | |
| 20 | Assessment of Knowledge, Attitude and Skills of Lady Health Workers | 2004 | 3 |
About Saeed Anwar
Saeed Anwar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 102 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (20 papers), Advanced Neural Network Applications (16 papers), Nanofluid Flow and Heat Transfer (13 papers), Image Enhancement Techniques (12 papers), Advanced Vision and Imaging (11 papers), Heat Transfer Mechanisms (10 papers), Image and Signal Denoising Methods (10 papers) and Image Processing Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Media Technology (1.0k citations) and Geology (352 citations). Saeed Anwar has collaborated with scholars based in Australia, Saudi Arabia and Pakistan. Frequent co-authors include Chongyi Li, Nick Barnes, Fatih Porikli, Shi Qiu, Salman Khan, Deng-Ping Fan, Fatemeh Sadat Saleh, Yuchao Dai, Ajmal Mian and Wenqi Ren. Their work appears in journals such as Information Fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, Electronics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Image Processing.
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.