Aqsa Rasheed

893 total citations
8 papers, 524 citations indexed

About

Aqsa Rasheed is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems. According to data from OpenAlex, Aqsa Rasheed has authored 8 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Information Systems. Recurrent topics in Aqsa Rasheed's work include Handwritten Text Recognition Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). Aqsa Rasheed is often cited by papers focused on Handwritten Text Recognition Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). Aqsa Rasheed collaborates with scholars based in Pakistan and South Korea. Aqsa Rasheed's co-authors include Nouman Ali, Bushra Zafar, Muhammad Sajid, Saadat Hanif Dar, Naeem Iqbal Ratyal, Tehmina Khalil, Jameel Ahmed, Muhammad Tariq Mahmood, Usman Habib and Afzal Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Mathematical Problems in Engineering.

In The Last Decade

Aqsa Rasheed

7 papers receiving 490 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aqsa Rasheed Pakistan	6	299	129	117	88	60	8	524
Saadat Hanif Dar Pakistan	14	431 1.4×	172 1.3×	122 1.0×	119 1.4×	95 1.6×	21	786
Md. Mostafijur Rahman Bangladesh	13	492 1.6×	196 1.5×	23 0.2×	137 1.6×	102 1.7×	35	779
Jukka Iivarinen Finland	11	298 1.0×	73 0.6×	126 1.1×	116 1.3×	17 0.3×	25	474
Yoshihiro Mitani Japan	7	222 0.7×	59 0.5×	36 0.3×	146 1.7×	31 0.5×	35	476
Zongmin Li China	13	295 1.0×	57 0.4×	17 0.1×	87 1.0×	16 0.3×	83	468
Amirthalingam Ramanan Sri Lanka	11	225 0.8×	57 0.4×	17 0.1×	94 1.1×	61 1.0×	40	426
Golnaz Ghiasi United States	10	512 1.7×	59 0.5×	19 0.2×	227 2.6×	54 0.9×	13	629
Naeem Iqbal Ratyal Pakistan	13	350 1.2×	92 0.7×	11 0.1×	55 0.6×	23 0.4×	32	588
Yunyang Xiong United States	8	249 0.8×	40 0.3×	18 0.2×	128 1.5×	44 0.7×	16	479
Shangzhen Luan China	4	229 0.8×	75 0.6×	16 0.1×	70 0.8×	31 0.5×	5	349

Countries citing papers authored by Aqsa Rasheed

Since Specialization

Citations

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

Fields of papers citing papers by Aqsa Rasheed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aqsa Rasheed. 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 Aqsa Rasheed. The network helps show where Aqsa Rasheed may publish in the future.

Co-authorship network of co-authors of Aqsa Rasheed

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

All Works

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8 of 8 papers shown

1.

Rasheed, Aqsa, et al.. (2022). Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet. IEEE Access. 10. 102629–102645. 34 indexed citations

2.

Rasheed, Aqsa, Bushra Zafar, Naila Aslam, et al.. (2021). Requirement Engineering Challenges in Agile Software Development. Mathematical Problems in Engineering. 2021. 1–18. 34 indexed citations

3.

Ali, Nouman, Jameel Ahmed, Bushra Zafar, et al.. (2021). Satellite and Scene Image Classification Based on Transfer Learning and Fine Tuning of ResNet50. Mathematical Problems in Engineering. 2021. 1–18. 73 indexed citations

4.

Rasheed, Aqsa, et al.. (2021). Detection of glaucoma using retinal fundus images: A comprehensive review. Mathematical Biosciences & Engineering. 18(3). 2033–2076. 44 indexed citations

5.

Rasheed, Aqsa, Bushra Zafar, Nouman Ali, et al.. (2020). Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review. Mathematical Problems in Engineering. 2020. 1–24. 124 indexed citations

6.

Rasheed, Aqsa, Jameel Ahmed, Nouman Ali, et al.. (2019). Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review. Mathematical Problems in Engineering. 2019(1). 212 indexed citations

7.

Singh, Rishi P., et al.. (2019). Software Development Process Models Comparison And Assessment Of Degree Of Agility Based On Agile Practices And Performance Implementation On XP And Scrum. International journal of scientific and technology research. 8(12). 1008–1016. 3 indexed citations

8.

Rasheed, Aqsa, et al.. (2017). Association of Hyperuricemia with Coronary Artery Disease in Gulab Devi Chest Hospital. SHILAP Revista de lepidopterología. 1(2). 1–1.

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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