Shafqat Ullah Khan

666 total citations
36 papers, 424 citations indexed

About

Shafqat Ullah Khan is a scholar working on Aerospace Engineering, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Shafqat Ullah Khan has authored 36 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 10 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Shafqat Ullah Khan's work include Antenna Design and Optimization (16 papers), Radar Systems and Signal Processing (10 papers) and Direction-of-Arrival Estimation Techniques (8 papers). Shafqat Ullah Khan is often cited by papers focused on Antenna Design and Optimization (16 papers), Radar Systems and Signal Processing (10 papers) and Direction-of-Arrival Estimation Techniques (8 papers). Shafqat Ullah Khan collaborates with scholars based in Pakistan, Malaysia and China. Shafqat Ullah Khan's co-authors include Liaqat Ali, Ijaz Mansoor Qureshi, Fawad Zaman, Abdul Basit, Sanam Shahla Rizvi, M. K. A. Rahim, Irfan Ullah Khan, Wasim Khan, Noorbakhsh Amiri Golilarz and Shijie Zhou and has published in prestigious journals such as PLoS ONE, Neural Computing and Applications and The Scientific World JOURNAL.

In The Last Decade

Shafqat Ullah Khan

35 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shafqat Ullah Khan Pakistan 12 138 113 91 82 71 36 424
Mi He China 13 79 0.6× 41 0.4× 8 0.1× 40 0.5× 21 0.3× 38 471
Jing Qin China 11 57 0.4× 113 1.0× 8 0.1× 67 0.8× 60 0.8× 37 365
Shuai Huang China 11 28 0.2× 73 0.6× 6 0.1× 34 0.4× 40 0.6× 53 358
Syed Ismail Shah Pakistan 10 13 0.1× 52 0.5× 27 0.3× 98 1.2× 45 0.6× 35 325
Adeline Paiement United Kingdom 13 39 0.3× 66 0.6× 7 0.1× 40 0.5× 12 0.2× 30 454
Hai Tao United States 11 101 0.7× 49 0.4× 7 0.1× 38 0.5× 21 0.3× 18 792
Zhenkun Lu China 10 33 0.2× 104 0.9× 11 0.1× 24 0.3× 16 0.2× 28 299
Jean Andrian United States 12 10 0.1× 62 0.5× 11 0.1× 173 2.1× 129 1.8× 45 635
Lu Zou China 12 36 0.3× 100 0.9× 28 0.3× 6 0.1× 8 0.1× 21 402

Countries citing papers authored by Shafqat Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shafqat Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shafqat Ullah Khan. 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 Shafqat Ullah Khan. The network helps show where Shafqat Ullah Khan may publish in the future.

Co-authorship network of co-authors of Shafqat Ullah Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shafqat Ullah Khan. A scholar is included among the top collaborators of Shafqat Ullah Khan 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 Shafqat Ullah Khan. Shafqat Ullah Khan 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.
Khan, Shafqat Ullah, et al.. (2024). Review of algorithmic solutions for deployment of neural networks on lite devices. Computer Research and Modeling. 16(7). 1601–1619.
2.
Gismalla, Mohammed S. M., et al.. (2022). Diabetic Retinopathy Detection Using Genetic Algorithm‐Based CNN Features and Error Correction Output Code SVM Framework Classification Model. Wireless Communications and Mobile Computing. 2022(1). 16 indexed citations
3.
Rahman, Atiqur, Sanam Shahla Rizvi, Irfan Ullah Khan, et al.. (2021). Parkinson’s Disease Diagnosis in Cepstral Domain Using MFCC and Dimensionality Reduction with SVM Classifier. Mobile Information Systems. 2021. 1–10. 38 indexed citations
4.
Khan, Shafqat Ullah, et al.. (2021). EigenSpace-Based Generalized Sidelobe Canceler Applied for Sidelobe Suppression in Cognitive Radio Systems. Wireless Personal Communications. 121(4). 3009–3028. 1 indexed citations
5.
Javeed, Ashir, Sanam Shahla Rizvi, Shijie Zhou, et al.. (2020). Heart Risk Failure Prediction Using a Novel Feature Selection Method for Feature Refinement and Neural Network for Classification. Mobile Information Systems. 2020. 1–11. 47 indexed citations
6.
Khan, Irfan Ullah, et al.. (2020). Performance Analysis of PCA, Sparse PCA, Kernel PCA and Incremental PCA Algorithms for Heart Failure Prediction. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 1–5. 35 indexed citations
7.
Zaman, Fawad, et al.. (2019). Backtracking Search Optimization Paradigm for Pattern Correction of Faulty Antenna Array in Wireless Mobile Communications. Wireless Communications and Mobile Computing. 2019. 1–17. 5 indexed citations
8.
9.
Ali, Liaqat, Shafqat Ullah Khan, Muhammad Anwar, & Muhammad Asif. (2019). Early Detection of Heart Failure by Reducing the Time Complexity of the Machine Learning based Predictive Model. 1–5. 8 indexed citations
10.
Khan, Shafqat Ullah, et al.. (2018). Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm. International Journal of Electrical and Computer Engineering (IJECE). 8(3). 1870–1870. 10 indexed citations
11.
Khan, Shafqat Ullah, M. K. A. Rahim, & Liaqat Ali. (2018). Correction of array failure using grey wolf optimizer hybridized with an interior point algorithm. Frontiers of Information Technology & Electronic Engineering. 19(9). 1191–1202. 17 indexed citations
12.
Khan, Shafqat Ullah, M. K. A. Rahim, Noor Asniza Murad, et al.. (2017). Detection of the Faulty Sensors on Basis of the Pattern Using Symmetrical Structure of Linear Array Antenna. 32(4). 358–365. 1 indexed citations
13.
Khan, Shafqat Ullah, et al.. (2017). Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique. PLoS ONE. 12(12). e0189240–e0189240. 9 indexed citations
14.
Khan, Shafqat Ullah, Ijaz Mansoor Qureshi, Fawad Zaman, & Wasim Khan. (2017). Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution. Frontiers of Information Technology & Electronic Engineering. 18(2). 235–245. 8 indexed citations
15.
Khan, Shafqat Ullah, et al.. (2017). Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique. International Journal of Electrical and Computer Engineering (IJECE). 7(2). 961–961. 4 indexed citations
16.
Khan, Shafqat Ullah, et al.. (2016). Recovery of Failed Element Signal with a Digitally Beamforming Using Linear Symmetrical Array Antenna. Journal of information science and engineering. 32(3). 611–624. 8 indexed citations
17.
18.
Khan, Shafqat Ullah, et al.. (2016). Diagnosis of Faulty Sensors in Phased Array Radar Using Compressed Sensing and Hybrid IRLS–SSF Algorithm. Wireless Personal Communications. 91(1). 383–402. 8 indexed citations
19.
Khan, Shafqat Ullah, et al.. (2014). Correction of Faulty Sensors in Phased Array Radars Using Symmetrical Sensor Failure Technique and Cultural Algorithm with Differential Evolution. The Scientific World JOURNAL. 2014. 1–10. 18 indexed citations
20.
Khan, Shafqat Ullah & Linda See. (2005). Comparing M5 Model Trees and Neural Networks for River Level Forecasting. AGUFM. 2005. 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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