Aasia Khanum

558 total citations
30 papers, 333 citations indexed

About

Aasia Khanum is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aasia Khanum has authored 30 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aasia Khanum's work include Dementia and Cognitive Impairment Research (5 papers), Advanced Software Engineering Methodologies (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Aasia Khanum is often cited by papers focused on Dementia and Cognitive Impairment Research (5 papers), Advanced Software Engineering Methodologies (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Aasia Khanum collaborates with scholars based in Pakistan, United States and Zimbabwe. Aasia Khanum's co-authors include Shoab Ahmed Khan, Arslan Shaukat, Atif Alvi, Farhan Riaz, Mohammed Javed, Muhammad Shafiq, Shaleeza Sohail, Muhammad Younus Javed, Ali Hassan and Usman Qamar and has published in prestigious journals such as Fuzzy Sets and Systems, IEEE Journal of Biomedical and Health Informatics and Multimedia Tools and Applications.

In The Last Decade

Aasia Khanum

29 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aasia Khanum Pakistan 10 101 66 49 48 44 30 333
Fathe Jeribi Saudi Arabia 10 83 0.8× 76 1.2× 30 0.6× 48 1.0× 28 0.6× 35 327
Yogesh Kumar Rathore India 9 61 0.6× 62 0.9× 33 0.7× 74 1.5× 48 1.1× 29 278
M. Akila India 9 128 1.3× 44 0.7× 47 1.0× 97 2.0× 42 1.0× 31 541
Atif Alvi Pakistan 10 83 0.8× 40 0.6× 80 1.6× 35 0.7× 43 1.0× 37 377
Sathish India 7 103 1.0× 33 0.5× 90 1.8× 105 2.2× 4 0.1× 13 346
R.C. Suganthe India 12 98 1.0× 70 1.1× 32 0.7× 68 1.4× 11 0.3× 42 365
Osama R. Shahin Saudi Arabia 11 87 0.9× 35 0.5× 54 1.1× 36 0.8× 2 0.0× 31 270
J. Arokia Renjit India 9 104 1.0× 11 0.2× 23 0.5× 55 1.1× 12 0.3× 30 264
Amena Mahmoud Egypt 11 151 1.5× 32 0.5× 77 1.6× 76 1.6× 3 0.1× 27 340
S. Srividhya India 8 126 1.2× 6 0.1× 48 1.0× 46 1.0× 51 1.2× 58 405

Countries citing papers authored by Aasia Khanum

Since Specialization
Citations

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

Fields of papers citing papers by Aasia Khanum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aasia Khanum

This figure shows the co-authorship network connecting the top 25 collaborators of Aasia Khanum. A scholar is included among the top collaborators of Aasia Khanum 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 Aasia Khanum. Aasia Khanum 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.
Khanum, Aasia, et al.. (2022). A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer’s Disease Conversion Prediction in Low-Income Countries. Applied Computational Intelligence and Soft Computing. 2022. 1–8. 4 indexed citations
2.
Khanum, Aasia, Atif Alvi, Farhan Riaz, et al.. (2021). Early MCI‐to‐AD Conversion Prediction Using Future Value Forecasting of Multimodal Features. Computational Intelligence and Neuroscience. 2021(1). 6628036–6628036. 12 indexed citations
3.
Sohail, Shaleeza & Aasia Khanum. (2018). Fuzzy Approach to Controller Placement Problem: Fuzzy Controller (FC). 1–5. 1 indexed citations
4.
Sohail, Shaleeza, Aasia Khanum, & Atif Alvi. (2018). Hybrid Fuzzy-Statistical System for Learning Analytics. 989–994. 1 indexed citations
5.
Khanum, Aasia, et al.. (2017). Predicting Progression From Mild Cognitive Impairment to Alzheimer's Disease Using Autoregressive Modelling of Longitudinal and Multimodal Biomarkers. IEEE Journal of Biomedical and Health Informatics. 22(3). 818–825. 43 indexed citations
6.
7.
Khanum, Aasia, et al.. (2016). A Nonparametric Approach for Mild Cognitive Impairment to AD Conversion Prediction: Results on Longitudinal Data. IEEE Journal of Biomedical and Health Informatics. 21(5). 1403–1410. 26 indexed citations
8.
Akram, Muhammad Usman, et al.. (2016). A cross layer error control scheme for efficient WLAN multimedia streaming. Multimedia Tools and Applications. 76(5). 6663–6682. 2 indexed citations
9.
Hussain, Ibrar, et al.. (2015). A Novel Approach for Software Architecture Recovery using Particle Swarm Optimization. The International Arab Journal of Information Technology. 12. 32–41. 12 indexed citations
10.
Javed, Mohammed, et al.. (2015). A Novel Compression Technique for Multi-Camera Nodes through Directional Correlation. International Journal of Distributed Sensor Networks. 11(6). 539838–539838. 1 indexed citations
11.
Akram, Sheeraz, Muhammad Younus Javed, Usman Qamar, Aasia Khanum, & Ali Hassan. (2014). Artificial Neural Network based Classification of Lungs Nodule using Hybrid Features from Computerized Tomographic Images. Applied Mathematics & Information Sciences. 9(1). 183–195. 26 indexed citations
12.
Akram, Sheeraz, Muhammad Younus Javed, Usman Qamar, Aasia Khanum, & Ali Hassan. (2014). Artificial Neural Network based Classification of Lungs Nodule using Hybrid Features from Computerized Tomographic Images. Applied Mathematics & Information Sciences. 9(1). 183–195. 1 indexed citations
13.
Saqib, Nazar Abbas, et al.. (2013). FPGA Accelerated Computing Platform for MATLAB and C/C++. 166–171. 3 indexed citations
14.
Zubairi, Junaid Ahmed, et al.. (2011). Automated traffic engineering using adaptive inter-class mixing. EURASIP Journal on Wireless Communications and Networking. 2011(1). 1 indexed citations
15.
Khanum, Aasia. (2010). An Intelligent Framework for Natural Object Identification in Images. International Journal of Advancements in Computing Technology. 2(2). 122–129. 4 indexed citations
16.
Khanum, Aasia, et al.. (2010). APCFS: Autonomous and Parallel Compressed File System. International Journal of Parallel Programming. 39(4). 522–532. 1 indexed citations
17.
Kausar, Sumaira, et al.. (2010). Guidelines for the selection of elicitation techniques. 11. 265–269. 18 indexed citations
18.
Akram, Muhammad Usman & Aasia Khanum. (2010). Retinal images: Blood vessel segmentation by threshold probing. 493–497. 9 indexed citations
19.
Sohail, Shaleeza, et al.. (2009). A Fuzzy Decision Maker for Wireless Sensor Network in Ubiquitous Network Environment. 359–364. 3 indexed citations
20.
Khanum, Aasia, et al.. (2008). A bi-level hierarchical fuzzy object based approach to natural scene classification. 6. 17–20. 1 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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