Muhammad Khurram Ehsan

530 total citations
30 papers, 338 citations indexed

About

Muhammad Khurram Ehsan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Khurram Ehsan has authored 30 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Khurram Ehsan's work include Wireless Communication Networks Research (3 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Hand Gesture Recognition Systems (3 papers). Muhammad Khurram Ehsan is often cited by papers focused on Wireless Communication Networks Research (3 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers) and Hand Gesture Recognition Systems (3 papers). Muhammad Khurram Ehsan collaborates with scholars based in Pakistan, China and Sweden. Muhammad Khurram Ehsan's co-authors include Asad Mahmood, Congduc Pham, Shahid Mumtaz, Yue Hong, Asghar Ali Shah, Hasan Sajid, Sara Ali, Osman Hasan, Saim Rasheed and Ali Hassan Sodhro and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Muhammad Khurram Ehsan

28 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Khurram Ehsan Pakistan 11 122 103 80 67 42 30 338
S Srinath India 12 103 0.8× 138 1.3× 63 0.8× 44 0.7× 53 1.3× 42 399
Suzana Uran Slovenia 11 163 1.3× 63 0.6× 37 0.5× 75 1.1× 39 0.9× 36 500
Haiyang Liu China 9 84 0.7× 101 1.0× 87 1.1× 22 0.3× 51 1.2× 57 327
Jiacheng Shang United States 10 88 0.7× 68 0.7× 61 0.8× 38 0.6× 81 1.9× 29 287
J. Soumya India 12 220 1.8× 231 2.2× 34 0.4× 42 0.6× 30 0.7× 56 427
Phongsak Keeratiwintakorn Thailand 8 177 1.5× 104 1.0× 55 0.7× 36 0.5× 20 0.5× 29 380
Fredy Hernán Martínez Sarmiento Colombia 9 63 0.5× 46 0.4× 85 1.1× 21 0.3× 53 1.3× 85 272
Sizhen Bian Germany 11 102 0.8× 50 0.5× 120 1.5× 83 1.2× 49 1.2× 33 305
Gianni Vercelli Italy 9 34 0.3× 47 0.5× 67 0.8× 31 0.5× 89 2.1× 72 325
Sreenivasa Reddy Yeduri Norway 9 81 0.7× 45 0.4× 117 1.5× 22 0.3× 48 1.1× 34 298

Countries citing papers authored by Muhammad Khurram Ehsan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Khurram Ehsan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Khurram Ehsan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Khurram Ehsan. A scholar is included among the top collaborators of Muhammad Khurram Ehsan 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 Muhammad Khurram Ehsan. Muhammad Khurram Ehsan 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.
Ehsan, Muhammad Khurram, et al.. (2025). DT-RSSI: Digital Twin-Replica of Sensing Statistics for IRA in Intelligent NG-HetNetIs. IEEE Transactions on Mobile Computing. 24(8). 6934–6944. 1 indexed citations
2.
Farhad, Arshad, et al.. (2025). Machine Learning-Powered Malware Detection in Encrypted IoT Traffic. 1–5. 1 indexed citations
3.
Sajid, Hasan, et al.. (2024). MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2979–2994.
4.
Sajid, Hasan, et al.. (2023). MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition. Computers & Electrical Engineering. 112. 109009–109009. 4 indexed citations
5.
Raza, Ahmad, Mohsin Ali, Muhammad Khurram Ehsan, & Ali Hassan Sodhro. (2023). Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach. Sensors. 23(17). 7456–7456. 13 indexed citations
6.
Nauman, Ali, Marwa Obayya, Mashael M. Asiri, et al.. (2023). Minimizing energy consumption for NOMA multi-drone communications in automotive-industry 5.0. Journal of King Saud University - Computer and Information Sciences. 35(6). 101547–101547. 10 indexed citations
7.
Sajid, Hasan, et al.. (2023). Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition. IEEE Access. 11. 19135–19147. 30 indexed citations
8.
Ehsan, Muhammad Khurram, et al.. (2023). Efficient resource prediction framework for software-defined heterogeneous radio environmental infrastructures. Advanced Engineering Informatics. 56. 101976–101976. 7 indexed citations
9.
Hashmi, Muhammad Usman, Muhammad Khurram Ehsan, Ali Hassan Sodhro, et al.. (2023). Concomitant Skew and Phase Correction (CSPC) for Industry 5.0 Enabler Pervasive Distributed Computing Systems. IEEE Transactions on Consumer Electronics. 70(1). 1511–1518. 3 indexed citations
10.
Masud, Usman, Hassan Elahi, Faraz Akram, et al.. (2022). Design of Two-Mode Spectroscopic Sensor for Biomedical Applications: Analysis and Measurement of Relative Intensity Noise through Control Mechanism. Applied Sciences. 12(4). 1856–1856. 8 indexed citations
11.
Ahmed, Umair, et al.. (2022). Investigation of Spectral Properties of DBR-Based Photonic Crystal Structure for Optical Filter Application. Crystals. 12(3). 409–409. 11 indexed citations
12.
Shah, Asghar Ali, et al.. (2022). Machine Learning Empowered Efficient Intrusion Detection Framework. VFAST Transactions on Software Engineering. 10(2). 27–35. 5 indexed citations
13.
Huang, Lingling, et al.. (2022). Investigation of Leakage Current in Micro M-I-M Structure Using Multilayer High-K Dielectric Materials with COMSOL Multiphysics. Elektronika ir Elektrotechnika. 28(2). 72–77. 2 indexed citations
14.
Ehsan, Muhammad Khurram, et al.. (2022). Prediction of Surface Roughness as a Function of Temperature for SiO2 Thin-Film in PECVD Process. Micromachines. 13(2). 314–314. 7 indexed citations
15.
Hassan, Mohd Fadzil, et al.. (2022). A Robust Graph Theoretic Solution of Routing in Intelligent Networks. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
16.
Shah, Asghar Ali, et al.. (2022). Automated Facial Expression Recognition Framework Using Deep Learning. Journal of Healthcare Engineering. 2022. 1–11. 18 indexed citations
17.
Ehsan, Muhammad Khurram, et al.. (2021). Improved Channel Reciprocity for Secure Communication in Next Generation Wireless Systems. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 2619–2630. 9 indexed citations
18.
19.
Pham, Congduc & Muhammad Khurram Ehsan. (2021). Dense Deployment of LoRa Networks: Expectations and Limits of Channel Activity Detection and Capture Effect for Radio Channel Access. Sensors. 21(3). 825–825. 32 indexed citations
20.
Ehsan, Muhammad Khurram & Dirk Dahlhaus. (2015). Statistical modeling of ISM data traffic in indoor environments for cognitive radio systems. 88–93. 10 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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