Ajmal Mian
Impact in
-
- Face and Expression Recognition
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Geology top 0.5%
Papers in
-
- Face and Expression Recognition 49
- Face recognition and analysis 47
- Human Pose and Action Recognition 39
- Advanced Neural Network Applications 30
- Advanced Image and Video Retrieval Techniques 29
- Co-authors
- Naveed AkhtarRobyn OwensMohammed BennamounFaisal ShafaitHossein RahmaniSyed Zulqarnain GilaniArif MahmoodMark R. Shortis
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (13 papers)Pattern Recognition (12 papers)IEEE Transactions on Image Processing (9 papers)IEEE Access (7 papers)IEEE Transactions on Neural Networks and Learning Systems (6 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Ajmal Mian
289 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Vision and Pattern Recognition 5.8k
- Geology 792
- Media Technology 1.0k
- Signal Processing 1.2k
- Accounting 1.2k
Countries citing papers authored by Ajmal Mian
This map shows the geographic impact of Ajmal Mian'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 Ajmal Mian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajmal Mian more than expected).
Fields of papers citing papers by Ajmal Mian
This network shows the impact of papers produced by Ajmal Mian. 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 Ajmal Mian. The network helps show where Ajmal Mian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ajmal Mian, 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 | 6 | |
| 2 | 2025 | 0 | |
| 3 | History-Enhanced 3D Scene Graph Reasoning From RGB-D Sequences Hit paper breakdown → | 2025 | 16 |
| 4 | Pixel-Level Noise Mining for Weakly Supervised Salient Object Detection Hit paper breakdown → | 2025 | 23 |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 20 | |
| 16 | 2021 | 16 | |
| 17 | 2020 | 61 | |
| 18 | 2019 | 58 | |
| 19 | 2018 | 95 | |
| 20 | 2018 | 11 |
About Ajmal Mian
Ajmal Mian is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology, Signal Processing and Media Technology, having authored 308 papers that have together received 12.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (49 papers), Face recognition and analysis (47 papers), Human Pose and Action Recognition (39 papers), 3D Shape Modeling and Analysis (39 papers), Robotics and Sensor-Based Localization (32 papers), Advanced Neural Network Applications (30 papers), Advanced Image and Video Retrieval Techniques (29 papers) and Anomaly Detection Techniques and Applications (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.8k citations), Geology (792 citations), Media Technology (1.0k citations), Signal Processing (1.2k citations) and Accounting (1.2k citations). Ajmal Mian has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Naveed Akhtar, Robyn Owens, Mohammed Bennamoun, Faisal Shafait, Hossein Rahmani, Syed Zulqarnain Gilani, Arif Mahmood, Mark R. Shortis, Yiqun Hu and Muhammad Uzair. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.
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.