Khalil Ullah

674 total citations
53 papers, 397 citations indexed

About

Khalil Ullah is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Khalil Ullah has authored 53 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Khalil Ullah's work include EEG and Brain-Computer Interfaces (11 papers), Muscle activation and electromyography studies (9 papers) and Handwritten Text Recognition Techniques (7 papers). Khalil Ullah is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Muscle activation and electromyography studies (9 papers) and Handwritten Text Recognition Techniques (7 papers). Khalil Ullah collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Khalil Ullah's co-authors include Muhammad Asad Ullah, Roberto Merletti, Babak Afsharipour, Jung‐Hoon Kim, Corrado Cescon, Muhammad Asif, Abdul Waheed, Mahdi Zareei, Hisham Alasmary and Yazeed Yasin Ghadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Khalil Ullah

45 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalil Ullah Pakistan 12 119 110 77 60 55 53 397
Sunil Jacob India 11 105 0.9× 91 0.8× 79 1.0× 58 1.0× 96 1.7× 28 403
Liqiong Tang New Zealand 9 70 0.6× 240 2.2× 75 1.0× 28 0.5× 29 0.5× 43 473
Akshay Kumar India 12 84 0.7× 41 0.4× 125 1.6× 43 0.7× 28 0.5× 44 405
Vacius Jusas Lithuania 12 135 1.1× 50 0.5× 168 2.2× 59 1.0× 33 0.6× 74 558
Md Maruf Hossain Shuvo United States 12 96 0.8× 83 0.8× 50 0.6× 103 1.7× 61 1.1× 26 469
Ali Jafari United States 11 128 1.1× 102 0.9× 73 0.9× 109 1.8× 32 0.6× 23 369
Chuanjiang Li China 9 43 0.4× 65 0.6× 59 0.8× 41 0.7× 20 0.4× 31 258
Khaled Ben Khalifa Tunisia 11 112 0.9× 36 0.3× 121 1.6× 37 0.6× 24 0.4× 39 316
Elena Romero Spain 11 105 0.9× 41 0.4× 110 1.4× 18 0.3× 170 3.1× 35 452

Countries citing papers authored by Khalil Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Khalil Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalil Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Khalil Ullah. A scholar is included among the top collaborators of Khalil Ullah 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 Khalil Ullah. Khalil Ullah 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.
Liu, Yuxuan, Nathanael Kuo, Yujie Zhao, et al.. (2025). Predicting Imminent Conversion to Exudative Age-Related Macular Degeneration Using Multimodal Data and Ensemble Machine Learning. Ophthalmology Science. 5(5). 100785–100785. 1 indexed citations
3.
Ullah, Khalil, et al.. (2024). sEMG-Based Upper Limb Elbow Force Estimation Using CNN, CNN-LSTM, and CNN-GRU Models. IEEE Access. 12. 128979–128991. 4 indexed citations
4.
Ullah, Khalil, et al.. (2024). Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages. PeerJ Computer Science. 10. e2163–e2163.
5.
Ullah, Khalil, et al.. (2024). Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection. IEEE Access. 12. 16431–16446. 16 indexed citations
7.
Ullah, Sehat, et al.. (2024). Implementing Autonomous Control in the Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring. Sensors. 24(17). 5840–5840. 2 indexed citations
8.
Azhar, Muhammad, Sehat Ullah, Khalil Ullah, et al.. (2023). A Three-Dimensional Real-Time Gait-Based Age Detection System Using Machine Learning. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 165–182. 1 indexed citations
9.
Khan, Nisar, et al.. (2023). Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques. IEEE Access. 11. 135788–135796. 1 indexed citations
10.
Ayaz, Muhammad, et al.. (2023). Automatic Early Diagnosis of Dome Galls in Cordia Dichotoma G. Forst. Using Deep Transfer Learning. IEEE Access. 11. 59511–59523. 8 indexed citations
11.
Ullah, Khalil, et al.. (2023). Real-World Driver Stress Recognition and Diagnosis Based on Multimodal Deep Learning and Fuzzy EDAS Approaches. Diagnostics. 13(11). 1897–1897. 10 indexed citations
12.
Khan, Abdullah, et al.. (2023). A Hybrid CNN-LSTM Random Forest Model for Dysgraphia Classification from Hand-Written Characters with Uniform/Normal Distribution. Applied Sciences. 13(7). 4275–4275. 11 indexed citations
13.
Ullah, Khalil, et al.. (2022). ECG-Based Driver’s Stress Detection Using Deep Transfer Learning and Fuzzy Logic Approaches. IEEE Access. 10. 29788–29809. 27 indexed citations
14.
Irfan, Muhammad, Khalil Ullah, Fazal Muhammad, et al.. (2022). Automatic Detection of Outliers in Multi-Channel EMG Signals Using MFCC and SVM. Intelligent Automation & Soft Computing. 36(1). 169–181. 4 indexed citations
15.
Akhtar, Naveed, et al.. (2021). Exploiting Structured CNNs for Semantic Segmentation of Unstructured Point Clouds from LiDAR Sensor. Remote Sensing. 13(18). 3621–3621. 8 indexed citations
16.
Ullah, Khalil & Shah Khalid. (2021). Automatic Detection of Noisy Signals in sEMG Grids Using Statistical Thresholding. 58(1). 1 indexed citations
17.
Ullah, Khalil, et al.. (2020). Multi-Channel Surface EMG Spatio-Temporal Image Enhancement Using Multi-Scale Hessian-Based Filters. Applied Sciences. 10(15). 5099–5099. 1 indexed citations
18.
Afsharipour, Babak, Khalil Ullah, & Roberto Merletti. (2015). Amplitude indicators and spatial aliasing in high density surface electromyography recordings. Biomedical Signal Processing and Control. 22. 170–179. 16 indexed citations
19.
Ullah, Khalil, Corrado Cescon, Babak Afsharipour, & Roberto Merletti. (2014). Automatic detection of motor unit innervation zones of the external anal sphincter by multichannel surface EMG. Journal of Electromyography and Kinesiology. 24(6). 860–867. 25 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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