Naimul Khan
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
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- Human Pose and Action Recognition 15
- Advanced Neural Network Applications 12
- Co-authors
- Nabila AbrahamZeeshan AhmadMarcia HonMuhammad Rehman ZafarLing GuanSridhar KrishnanRiadh KsantiniAnika Tabassum
- Journals
- IEEE Sensors Journal (4 papers)IEEE Access (2 papers)Neurocomputing (2 papers)Neural Networks (2 papers)Pattern Recognition (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Naimul Khan
81 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 694
- Neurology 256
- Health Informatics 39
- Artificial Intelligence 707
- Health Information Management 99
Countries citing papers authored by Naimul Khan
This map shows the geographic impact of Naimul Khan'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 Naimul Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naimul Khan more than expected).
Fields of papers citing papers by Naimul Khan
This network shows the impact of papers produced by Naimul Khan. 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 Naimul Khan. The network helps show where Naimul Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Naimul Khan, 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 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 1 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 54 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 54 | |
| 16 | 2020 | 30 | |
| 17 | 2018 | 17 | |
| 18 | 2017 | 155 | |
| 19 | 2015 | 4 | |
| 20 | 2014 | 1 |
About Naimul Khan
Naimul Khan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Critical Care and Intensive Care Medicine, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (15 papers), Advanced Neural Network Applications (12 papers), Gait Recognition and Analysis (10 papers), Heart Rate Variability and Autonomic Control (10 papers), EEG and Brain-Computer Interfaces (9 papers), Anomaly Detection Techniques and Applications (8 papers), ECG Monitoring and Analysis (8 papers) and Non-Invasive Vital Sign Monitoring (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (694 citations), Neurology (256 citations), Health Informatics (39 citations), Artificial Intelligence (707 citations) and Health Information Management (99 citations). Naimul Khan has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Nabila Abraham, Zeeshan Ahmad, Marcia Hon, Muhammad Rehman Zafar, Ling Guan, Sridhar Krishnan, Riadh Ksantini, Anika Tabassum, Lei Gao and Lin Qi. Their work appears in journals such as IEEE Sensors Journal, IEEE Access, Neurocomputing, Neural Networks and Pattern Recognition.
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.