Gul Muhammad Khan

1.4k total citations
80 papers, 848 citations indexed

About

Gul Muhammad Khan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Gul Muhammad Khan has authored 80 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 25 papers in Electrical and Electronic Engineering and 15 papers in Computer Networks and Communications. Recurrent topics in Gul Muhammad Khan's work include Evolutionary Algorithms and Applications (19 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Neural Networks and Applications (11 papers). Gul Muhammad Khan is often cited by papers focused on Evolutionary Algorithms and Applications (19 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Neural Networks and Applications (11 papers). Gul Muhammad Khan collaborates with scholars based in Pakistan, United Kingdom and United States. Gul Muhammad Khan's co-authors include Sahibzada Ali Mahmud, Julian F. Miller, Maryam Mahsal Khan, M. Saifur Rahman, Hamed Al‐Raweshidy, Shahzad Hassan, Rabia Arshad, David M. Halliday, Faheem Zafari and Muhammad Imran Malik and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Gul Muhammad Khan

78 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gul Muhammad Khan Pakistan 16 326 227 184 143 123 80 848
Zongtao Duan China 12 201 0.6× 160 0.7× 219 1.2× 106 0.7× 92 0.7× 59 718
Héctor Quintián Spain 19 300 0.9× 176 0.8× 64 0.3× 135 0.9× 85 0.7× 75 809
Belén Melián-Batista Spain 20 262 0.8× 58 0.3× 232 1.3× 86 0.6× 105 0.9× 55 1.3k
Miren Nekane Bilbao Spain 12 365 1.1× 153 0.7× 78 0.4× 105 0.7× 80 0.7× 35 774
Wenhui Chen Taiwan 13 163 0.5× 217 1.0× 61 0.3× 64 0.4× 166 1.3× 78 684
Ammar Kamal Abasi United Arab Emirates 19 515 1.6× 317 1.4× 86 0.5× 105 0.7× 124 1.0× 56 1.2k
Yanmin Zhu China 10 225 0.7× 72 0.3× 316 1.7× 97 0.7× 162 1.3× 16 812
Abdelkader Benyettou Algeria 14 442 1.4× 159 0.7× 56 0.3× 45 0.3× 165 1.3× 78 929
Nan Han China 16 163 0.5× 68 0.3× 142 0.8× 88 0.6× 127 1.0× 41 792

Countries citing papers authored by Gul Muhammad Khan

Since Specialization
Citations

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

Fields of papers citing papers by Gul Muhammad Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gul Muhammad Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Gul Muhammad Khan. A scholar is included among the top collaborators of Gul Muhammad 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 Gul Muhammad Khan. Gul Muhammad 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, Gul Muhammad, et al.. (2024). ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform. Computers & Geosciences. 189. 105624–105624. 1 indexed citations
2.
Khan, Gul Muhammad, et al.. (2021). Landslide Prediction Using Long Short Term Memory(LSTM)Neural Network on time series data in Pakistan. 175–181. 4 indexed citations
3.
Khan, Gul Muhammad, et al.. (2020). Cloud Infrastructure Estimation and Auto-Scaling Using Recurrent Cartesian Genetic Programming-Based ANN. IEEE Access. 8. 17965–17985. 11 indexed citations
4.
Khan, Gul Muhammad, et al.. (2018). Evolving Digital Circuits For Early Stage Breast Cancer Detection Using Cartesian Genetic Programming. Zenodo (CERN European Organization for Nuclear Research). 12(9). 651–657. 1 indexed citations
5.
Khan, Gul Muhammad. (2017). Evolution of Artificial Neural Development. Studies in computational intelligence. 7 indexed citations
6.
Hassan, Shahzad, et al.. (2017). Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud. Computational Intelligence and Neuroscience. 2017. 1–12. 37 indexed citations
7.
8.
Shafiq, Zeeshan, Latif U. Khan, Sahibzada Ali Mahmud, & Gul Muhammad Khan. (2015). Context-Aware Cooperative Collision Avoidance Vehicle Braking Alert System for VANET. 2 indexed citations
9.
Zafari, Faheem, et al.. (2014). Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates. Applied Artificial Intelligence. 28(6). 597–628. 5 indexed citations
10.
Khan, Gul Muhammad, Faheem Zafari, & Sahibzada Ali Mahmud. (2013). Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN). 152–155. 13 indexed citations
11.
Mahmud, Sahibzada Ali, et al.. (2013). A Survey on Femtocells: Benefits Deployment Models and Proposed Solutions. Journal of Applied Research and Technology. 11(5). 733–754. 14 indexed citations
12.
Shafiq, Zeeshan, et al.. (2012). Zone Routing Protocol: How does it perform the other way round?. 71–77. 12 indexed citations
13.
Mahmud, Sahibzada Ali, et al.. (2012). M2M communication in Smart Grids: Implementation scenarios and performance analysis. 142–147. 20 indexed citations
14.
Khan, Gul Muhammad, et al.. (2012). Bio-signal Processing Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN). 1802. 261–268. 9 indexed citations
15.
Khan, Ahmad Sattar, Muhammad Atiq Ur Rehman, Gul Muhammad Khan, et al.. (2011). Influence of defoliation and deblossoming on the vegetative and reproductive growth of guava (Psidium guajava L.) cv. 'Gola'.. Pakistan Journal of Botany. 43(6). 2891–2896. 3 indexed citations
16.
Khan, Maryam Mahsal, Gul Muhammad Khan, & Julian F. Miller. (2010). Efficient representation of Recurrent Neural Networks for markovian/non-markovian non-linear control problems. 615–620. 20 indexed citations
17.
Khan, Gul Muhammad & Julian F. Miller. (2010). Solving Mazes using an Artificial Developmental Neuron. Artificial Life. 241–248. 2 indexed citations
18.
Khan, Maryam Mahsal, Gul Muhammad Khan, & Julian F. Miller. (2010). Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming.. International Conference on Artificial Intelligence. 339–346. 19 indexed citations
19.
Khan, Gul Muhammad, Julian F. Miller, & David M. Halliday. (2009). In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). 1. 574–581. 3 indexed citations
20.
Khan, Gul Muhammad, Julian F. Miller, & David M. Halliday. (2007). Coevolution of intelligent agents using cartesian genetic programming. 269–276. 15 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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