Askar Hamdulla
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Handwritten Text Recognition Techniques
- Media Technology top 5%
Papers in
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- Natural Language Processing Techniques 50
- Speech Recognition and Synthesis 36
- Topic Modeling 32
- Text and Document Classification Technologies 16
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- Handwritten Text Recognition Techniques 35
- Image Processing and 3D Reconstruction 19
- Co-authors
- Peng Du (2 shared papers)Abdurahman Kadir (2 shared papers)Tatsuya Kawahara (6 shared papers)Kurban Ubul (7 shared papers)Jiong Yu (1 shared paper)Lihong Zhao (1 shared paper)Hongbing Ma (4 shared papers)Masato Mimura (1 shared paper)
In The Last Decade
Askar Hamdulla
152 papers receiving 848 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 359
- Media Technology 126
- Artificial Intelligence 304
- Aerospace Engineering 215
- Signal Processing 69
Countries citing papers authored by Askar Hamdulla
This map shows the geographic impact of Askar Hamdulla'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 Askar Hamdulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Askar Hamdulla more than expected).
Fields of papers citing papers by Askar Hamdulla
This network shows the impact of papers produced by Askar Hamdulla. 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 Askar Hamdulla. The network helps show where Askar Hamdulla may publish in the future.
Co-authors
The 25 scholars most cited alongside Askar Hamdulla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 164 | |
| 2 | 2019 | 73 | |
| 3 | 2019 | 69 | |
| 4 | 2022 | 34 | |
| 5 | 2019 | 27 | |
| 6 | 2010 | 22 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2013 | 12 | |
| 12 | 2008 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2012 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2011 | 8 |
About Askar Hamdulla
Askar Hamdulla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering and Signal Processing, having authored 191 papers that have together received 891 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (50 papers), Speech Recognition and Synthesis (36 papers), Handwritten Text Recognition Techniques (35 papers), Topic Modeling (32 papers), Vehicle License Plate Recognition (25 papers), Image Processing and 3D Reconstruction (19 papers), Infrared Target Detection Methodologies (18 papers) and Text and Document Classification Technologies (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Media Technology (126 citations), Artificial Intelligence (304 citations), Aerospace Engineering (215 citations) and Signal Processing (69 citations). Askar Hamdulla has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Peng Du, Abdurahman Kadir, Tatsuya Kawahara, Kurban Ubul, Jiong Yu, Lihong Zhao, Hongbing Ma, Masato Mimura, Jihong Zhu and Graham Neubig. Their work appears in journals such as Sensors, IEEE Geoscience and Remote Sensing Letters, Expert Systems with Applications, Applied Sciences and Journal of Multimedia.
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.