Saad Bin Ahmed

1.1k total citations
38 papers, 741 citations indexed

About

Saad Bin Ahmed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Saad Bin Ahmed has authored 38 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Media Technology. Recurrent topics in Saad Bin Ahmed's work include Handwritten Text Recognition Techniques (20 papers), Image Processing and 3D Reconstruction (13 papers) and Vehicle License Plate Recognition (10 papers). Saad Bin Ahmed is often cited by papers focused on Handwritten Text Recognition Techniques (20 papers), Image Processing and 3D Reconstruction (13 papers) and Vehicle License Plate Recognition (10 papers). Saad Bin Ahmed collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Saad Bin Ahmed's co-authors include Imran Razzak, Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Syed Hamad Shirazi, Imran Siddiqi, Faisal Shafait, Thomas M. Breuel, Adnan Ul-Hasan and Rubiyah Yusof and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Saad Bin Ahmed

35 papers receiving 704 citations

Peers

Saad Bin Ahmed
Saad Bin Ahmed
Citations per year, relative to Saad Bin Ahmed Saad Bin Ahmed (= 1×) peers Christian Viard-Gaudin

Countries citing papers authored by Saad Bin Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Saad Bin Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saad Bin Ahmed. 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 Saad Bin Ahmed. The network helps show where Saad Bin Ahmed may publish in the future.

Co-authorship network of co-authors of Saad Bin Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Bin Ahmed. A scholar is included among the top collaborators of Saad Bin Ahmed 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 Saad Bin Ahmed. Saad Bin Ahmed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Wanxin, Saad Bin Ahmed, Yongjin Park, & Khanh Dao Duc. (2025). Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities. Journal of the American Medical Informatics Association. 33(1). 15–25.
2.
Ahmed, Saad Bin, et al.. (2024). Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images. IEEE Access. 12. 13010–13019. 2 indexed citations
3.
Ahmed, Saad Bin, et al.. (2023). Analysis of Hyperspectral Data to Develop an Approach for Document Images. Sensors. 23(15). 6845–6845. 9 indexed citations
4.
Ahmed, Saad Bin, et al.. (2023). Enhancing Agricultural Operations: Big Data Analytics Using Distributed and Parallel Computing. SHILAP Revista de lepidopterología. 2(2). 1–7. 1 indexed citations
5.
Sundaram, Varun, et al.. (2021). Emotion Analysis in Text using TF-IDF. 292–297. 22 indexed citations
6.
Ahmed, Saad Bin, et al.. (2021). Attenuation of Human Bias in Artificial Intelligence: An Exploratory Approach. 557–563. 6 indexed citations
7.
Ahmed, Saad Bin, Saeeda Naz, Imran Razzak, & Mukesh Prasad. (2020). Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. 1–6. 3 indexed citations
8.
Ahmed, Saad Bin, Ibrahim A. Hameed, Saeeda Naz, Imran Razzak, & Rubiyah Yusof. (2019). Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. IEEE Access. 7. 153566–153578. 12 indexed citations
9.
Hameed, Ibrahim A., et al.. (2019). Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning. Applied Sciences. 9(9). 1956–1956. 8 indexed citations
10.
Ahmed, Saad Bin, et al.. (2019). Content Based Image Retrieval - COMPARATIVE ANALYSIS OF GABOR FEARURE AND HISTORGRAM ORIENTED GRADIENT USING TEXTURE FEATURES FOR CONTENT BASED IMAGE RETRIEVAL. International journal of advance research and innovative ideas in education. 5(4). 920–928. 1 indexed citations
11.
Ahmed, Saad Bin, Zainab Malik, Imran Razzak, & Rubiyah Yusof. (2019). Sub-sampling Approach for Unconstrained Arabic Scene Text Analysis by Implicit Segmentation based Deep Learning Classifier. 7–16. 4 indexed citations
12.
Naz, Saeeda, Arif Iqbal Umar, Saad Bin Ahmed, et al.. (2018). Statistical features extraction for character recognition using recurrent neural network. Deakin Research Online (Deakin University). 34(1). 47–53. 9 indexed citations
13.
Ahmed, Saad Bin, et al.. (2018). Detection of Sentiment Polarity of Unstructured Multi-Language Text from Social Media. International Journal of Advanced Computer Science and Applications. 9(7). 4 indexed citations
14.
Ahmed, Saad Bin, et al.. (2017). Deep learning based isolated Arabic scene character recognition. 46–51. 41 indexed citations
15.
Ahmed, Saad Bin, Saeeda Naz, Salah Ud Din, et al.. (2017). UCOM offline dataset-an Urdu handwritten dataset generation. The International Arab Journal of Information Technology. 14(2). 239–245. 24 indexed citations
16.
Naz, Saeeda, Arif Iqbal Umar, Riaz Ahmad, et al.. (2017). Urdu Nastaliq recognition using convolutional–recursive deep learning. Neurocomputing. 243. 80–87. 79 indexed citations
17.
Naz, Saeeda, Saad Bin Ahmed, Riaz Ahmad, & Imran Razzak. (2016). Zoning Features and 2DLSTM for Urdu Text-line Recognition. Procedia Computer Science. 96. 16–22. 31 indexed citations
18.
Naz, Saeeda, Arif Iqbal Umar, Riaz Ahmad, et al.. (2015). Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features. Neural Computing and Applications. 28(2). 219–231. 61 indexed citations
19.
Ahmed, Saad Bin, et al.. (2015). Evaluation of cursive and non-cursive scripts using recurrent neural networks. Neural Computing and Applications. 27(3). 603–613. 46 indexed citations
20.
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

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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