Adnan Ul-Hasan

696 total citations
20 papers, 401 citations indexed

About

Adnan Ul-Hasan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Adnan Ul-Hasan has authored 20 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Adnan Ul-Hasan's work include Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (8 papers) and Image Processing and 3D Reconstruction (7 papers). Adnan Ul-Hasan is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (8 papers) and Image Processing and 3D Reconstruction (7 papers). Adnan Ul-Hasan collaborates with scholars based in Pakistan, Germany and Australia. Adnan Ul-Hasan's co-authors include Thomas M. Breuel, Faisal Shafait, Saad Bin Ahmed, Andreas Dengel, Muhammad Imran Malik, Muhammad Shahzad, Marcus Liwicki, Syed Saqib Bukhari, Syed Muhammad Raza Kazmi and Naveed Iqbal and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Adnan Ul-Hasan

19 papers receiving 374 citations

Peers

Adnan Ul-Hasan

CVPR

Jean-Marc Ogier France

Renu Dhir India

Oriol Ramos Terrades Spain

Li-Lun Wang United States

Ayan Kumar Bhunia India

Hiromitsu Yamada Japan

Uma Mudenagudi India

Zhongqin Wu China

Mustapha Amrouch Morocco

P. Subashini India

Jean-Marc Ogier France

Adnan Ul-Hasan

421 ×1.3

CVPR

109 ×0.8

124 ×1.0

20 ×0.8

18 ×0.8

Citations per year, relative to Adnan Ul-Hasan Adnan Ul-Hasan (= 1×) peers Jean-Marc Ogier

Countries citing papers authored by Adnan Ul-Hasan

Since Specialization

Citations

This map shows the geographic impact of Adnan Ul-Hasan'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 Adnan Ul-Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adnan Ul-Hasan more than expected).

Fields of papers citing papers by Adnan Ul-Hasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adnan Ul-Hasan. 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 Adnan Ul-Hasan. The network helps show where Adnan Ul-Hasan may publish in the future.

Co-authorship network of co-authors of Adnan Ul-Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Ul-Hasan. A scholar is included among the top collaborators of Adnan Ul-Hasan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adnan Ul-Hasan. Adnan Ul-Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ul-Hasan, Adnan, et al.. (2022). Conv-transformer architecture for unconstrained off-line Urdu handwriting recognition. International Journal on Document Analysis and Recognition (IJDAR). 25(4). 373–384. 8 indexed citations

Latif, Seemab, et al.. (2022). Text Summarization from Judicial Records using Deep Neural Machines. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–6.

Ahmed, Nida, et al.. (2022). Comparison of Transformer Models for Information Extraction from Court Room Records in Pakistan. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–6. 1 indexed citations

Iqbal, Naveed, et al.. (2021). A Novel Technique for Short-Term Load Forecasting Using Sequential Models and Feature Engineering. IEEE Access. 9. 96221–96232. 21 indexed citations

Ul-Hasan, Adnan, et al.. (2021). Incremental Learning of Object Detector with Limited Training Data. 1–8. 4 indexed citations

Naeem, Muhammad Ferjad, et al.. (2021). A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition. Neural Computing and Applications. 34(2). 1635–1648. 13 indexed citations

Shahzad, Muhammad, et al.. (2019). Runway Detection and Localization in Aerial Images using Deep Learning. 1–8. 23 indexed citations

Ul-Hasan, Adnan, et al.. (2019). Logical Layout Analysis using Deep Learning. 1–5. 4 indexed citations

Naeem, Muhammad Ferjad, et al.. (2018). A Multi-faceted OCR Framework for Artificial Urdu News Ticker Text Recognition. 211–216. 6 indexed citations

10.

Ul-Hasan, Adnan, et al.. (2016). High Performance OCR for Camera-Captured Blurred Documents with LSTM Networks. 28. 7–12. 11 indexed citations

11.

Ul-Hasan, Adnan, Syed Saqib Bukhari, & Andreas Dengel. (2016). OCRoRACT: A Sequence Learning OCR System Trained on Isolated Characters. 174–179. 12 indexed citations

12.

Ul-Hasan, Adnan. (2016). Generic Text Recognition using Long Short-Term Memory Networks. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 5 indexed citations

13.

Ul-Hasan, Adnan, et al.. (2015). Curriculum learning for printed text line recognition of ligature-based scripts. 1001–1005. 6 indexed citations

14.

Ul-Hasan, Adnan, et al.. (2015). A segmentation-free approach for printed Devanagari script recognition. 946–950. 13 indexed citations

15.

Ul-Hasan, Adnan, Muhammad Zeshan Afzal, Faisal Shafait, Marcus Liwicki, & Thomas M. Breuel. (2015). A sequence learning approach for multiple script identification. 1046–1050. 17 indexed citations

16.

Ul-Hasan, Adnan, Syed Saqib Bukhari, Sheikh Faisal Rashid, Faisal Shafait, & Thomas M. Breuel. (2015). Semi-Automated OCR Database Generation for Nabataean Scripts. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations

17.

Ul-Hasan, Adnan, et al.. (2013). Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks. UWA Profiles and Research Repository (UWA). 1061–1065. 81 indexed citations

18.

Breuel, Thomas M., et al.. (2013). High-Performance OCR for Printed English and Fraktur Using LSTM Networks. UWA Profiles and Research Repository (University of Western Australia). 683–687. 148 indexed citations

19.

Ul-Hasan, Adnan & Thomas M. Breuel. (2013). Can we build language-independent OCR using LSTM networks?. 1–5. 23 indexed citations

20.

Ul-Hasan, Adnan, Syed Saqib Bukhari, Faisal Shafait, & Thomas M. Breuel. (2012). OCR-Free Table of Contents Detection in Urdu Books. UWA Profiles and Research Repository (University of Western Australia). 404–408. 4 indexed citations

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.

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