Md Shopon
Impact in
- Media Technology top 5%
- Vehicle License Plate Recognition
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
Papers in
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- Handwritten Text Recognition Techniques 4
- Human Pose and Action Recognition 3
- Video Surveillance and Tracking Methods 2
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- Vehicle License Plate Recognition 4
- Co-authors
- Nabeel Mohammed (3 shared papers)Marina L. Gavrilova (5 shared papers)Rafiqul Islam (1 shared paper)Sifat Momen (1 shared paper)M. F. Mridha (2 shared papers)A. S. M. Hossain Bari (1 shared paper)Gee-Sern Hsu (1 shared paper)Yingxu Wang (1 shared paper)
- Journals
- The Visual Computer (1 paper)Data in Brief (1 paper)IEEE Access (1 paper)2020 IEEE Region 10 Symposium (TENSYMP) (1 paper)Journal of Cybersecurity and Privacy (1 paper)
- Partner nations
- BangladeshCanadaTaiwan
In The Last Decade
Md Shopon
12 papers receiving 180 citations
Peers
Comparison fields: 5 of 27
- Media Technology 94
- Computer Vision and Pattern Recognition 144
- Human-Computer Interaction 36
- Artificial Intelligence 44
- Signal Processing 11
Countries citing papers authored by Md Shopon
This map shows the geographic impact of Md Shopon'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 Md Shopon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Shopon more than expected).
Fields of papers citing papers by Md Shopon
This network shows the impact of papers produced by Md Shopon. 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 Md Shopon. The network helps show where Md Shopon may publish in the future.
Co-authors
The 10 scholars most cited alongside Md Shopon, 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 | 2017 | 59 | |
| 2 | 2016 | 53 | |
| 3 | 2017 | 17 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 0 |
About Md Shopon
Md Shopon is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 13 papers that have together received 189 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (4 papers), Handwritten Text Recognition Techniques (4 papers), Human Pose and Action Recognition (3 papers), Gait Recognition and Analysis (3 papers), Hand Gesture Recognition Systems (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Video Surveillance and Tracking Methods (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Media Technology (94 citations), Computer Vision and Pattern Recognition (144 citations), Human-Computer Interaction (36 citations), Artificial Intelligence (44 citations) and Signal Processing (11 citations). Md Shopon has collaborated with scholars based in Bangladesh, Canada and Taiwan. Frequent co-authors include Nabeel Mohammed, Marina L. Gavrilova, Rafiqul Islam, Sifat Momen, M. F. Mridha, A. S. M. Hossain Bari, Gee-Sern Hsu, Yingxu Wang, Svetlana Yanushkevich and Abu Quwsar Ohi. Their work appears in journals such as The Visual Computer, Data in Brief, IEEE Access, 2020 IEEE Region 10 Symposium (TENSYMP) and Journal of Cybersecurity and Privacy.
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.