Muhammad Amir Khan

2.9k total citations
104 papers, 1.8k citations indexed

About

Muhammad Amir Khan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Muhammad Amir Khan has authored 104 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 33 papers in Computer Networks and Communications and 15 papers in Molecular Biology. Recurrent topics in Muhammad Amir Khan's work include Energy Efficient Wireless Sensor Networks (19 papers), Energy Harvesting in Wireless Networks (13 papers) and Antenna Design and Analysis (9 papers). Muhammad Amir Khan is often cited by papers focused on Energy Efficient Wireless Sensor Networks (19 papers), Energy Harvesting in Wireless Networks (13 papers) and Antenna Design and Analysis (9 papers). Muhammad Amir Khan collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Muhammad Amir Khan's co-authors include D. Chichung Lie, Muhammad Mateen Yaqoob, Amal Al‐Rasheed, Hai‐Kun Liu, Tehseen Mazhar, Zhe Zhu, Marisa Karow, Roland Goldbrunner, Giulio Cossu and Magdalena Götz and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Muhammad Amir Khan

100 papers receiving 1.8k 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 Amir Khan Pakistan 23 564 344 248 228 194 104 1.8k
Yiqing Li China 24 686 1.2× 1.0k 3.0× 123 0.5× 245 1.1× 124 0.6× 118 2.5k
Damin Zhang China 16 440 0.8× 88 0.3× 66 0.3× 156 0.7× 125 0.6× 68 1.3k
Feng Wan Macao 36 487 0.9× 563 1.6× 95 0.4× 85 0.4× 248 1.3× 247 4.6k
Yanjiao Li China 30 2.5k 4.4× 232 0.7× 78 0.3× 342 1.5× 530 2.7× 91 5.2k
Xue Jun Li New Zealand 33 1.6k 2.8× 1.0k 3.0× 430 1.7× 488 2.1× 77 0.4× 253 4.1k
Dongqing Wang China 40 342 0.6× 784 2.3× 165 0.7× 24 0.1× 816 4.2× 220 4.8k
ASM Shihavuddin Bangladesh 22 225 0.4× 366 1.1× 24 0.1× 68 0.3× 165 0.9× 92 1.6k
Yi Zeng China 24 168 0.3× 684 2.0× 96 0.4× 25 0.1× 467 2.4× 185 2.2k
Hui Xiong China 31 2.2k 4.0× 147 0.4× 41 0.2× 35 0.2× 278 1.4× 108 4.9k

Countries citing papers authored by Muhammad Amir Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Amir Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Amir Khan. A scholar is included among the top collaborators of Muhammad Amir 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 Muhammad Amir Khan. Muhammad Amir 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.
Ullah, Zahid, Rajwali Khan, Muhammad Amir Khan, et al.. (2025). High-temperature thermoelectric performance of spinel MgGa2O4 through a first-principles and Boltzmann transport study. Computational Materials Science. 259. 114163–114163. 2 indexed citations
2.
Mazhar, Tehseen, Shaha Al‐Otaibi, Yazeed Yasin Ghadi, et al.. (2024). Corrections to “Software Defect Prediction Using an Intelligent Ensemble-Based Model”. IEEE Access. 12. 164843–164843. 3 indexed citations
3.
Haq, Inayatul, et al.. (2024). YOLO and residual network for colorectal cancer cell detection and counting. Heliyon. 10(2). e24403–e24403. 24 indexed citations
4.
Khan, Abdullah Ayub, Tehseen Mazhar, Tariq Shahzad, et al.. (2024). PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration. SHILAP Revista de lepidopterología. 4(1). 17 indexed citations
5.
Khan, Sunawar, Tehseen Mazhar, Tariq Shahzad, et al.. (2024). Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration. SHILAP Revista de lepidopterología. 5(1). 7 indexed citations
6.
Yaqoob, Muhammad Mateen, et al.. (2023). Hybrid Classifier-Based Federated Learning in Health Service Providers for Cardiovascular Disease Prediction. Applied Sciences. 13(3). 1911–1911. 50 indexed citations
7.
Khan, Muhammad Amir, Musleh Alsulami, Muhammad Mateen Yaqoob, et al.. (2023). Asynchronous Federated Learning for Improved Cardiovascular Disease Prediction Using Artificial Intelligence. Diagnostics. 13(14). 2340–2340. 17 indexed citations
8.
9.
Ullah, Muneeb, Abdul Wahab, Muhammad Amir Khan, et al.. (2023). Genomic insights into heart health: Exploring the genetic basis of cardiovascular disease. Current Problems in Cardiology. 49(1). 102182–102182. 11 indexed citations
10.
Yaqoob, Muhammad Mateen, Musleh Alsulami, Muhammad Amir Khan, et al.. (2023). Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning. Symmetry. 15(7). 1369–1369. 14 indexed citations
11.
Ali, Muhammad Danish, et al.. (2023). Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks. Diagnostics. 13(13). 2242–2242. 41 indexed citations
12.
Bari, Inam, Javed Iqbal, Haider Ali, et al.. (2022). Bandwidth Enhancement and Generation of CP of Yagi-Uda-Shape Feed on a Rectangular DRA for 5G Applications. Micromachines. 13(11). 1913–1913. 5 indexed citations
13.
Iqbal, Javed, Usman Illahi, Muhammad Abbas Khan, et al.. (2022). A Novel Single-Fed Dual-Band Dual-Circularly Polarized Dielectric Resonator Antenna for 5G Sub-6GHz Applications. Applied Sciences. 12(10). 5222–5222. 19 indexed citations
14.
Shahzad, Aamir, et al.. (2022). Multifilters-Based Unsupervised Method for Retinal Blood Vessel Segmentation. Applied Sciences. 12(13). 6393–6393. 16 indexed citations
15.
Ali, Anwar, Jijun Tong, Javed Iqbal, et al.. (2022). Mutual Coupling Reduction through Defected Ground Structure in Circularly Polarized, Dielectric Resonator-Based MIMO Antennas for Sub-6 GHz 5G Applications. Micromachines. 13(7). 1082–1082. 31 indexed citations
16.
Khan, Muhammad Amir, Jawad Khan, Khalid Mahmood, et al.. (2022). Algorithm for Increasing Network Lifetime in Wireless Sensor Networks Using Jumping and Mobile Sensor Nodes. Electronics. 11(18). 2913–2913. 2 indexed citations
17.
Shahzad, Aamir, et al.. (2020). Veins Depth Estimation Using Diffused Reflectance Parameter. Applied Sciences. 10(22). 8238–8238. 4 indexed citations
18.
Shahzad, Aamir, et al.. (2019). Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector. IEEE Access. 7. 167221–167228. 35 indexed citations
19.
Khan, Faisal, et al.. (2011). FABRICATION OF ULTRA LOW VOLUME (ULV) PESTICIDE SPRAYER TEST BENCH. The Pakistan Journal of Agricultural Sciences. 48(2). 139–144. 4 indexed citations
20.
Khan, Muhammad Amir, et al.. (2010). Identification of Erbin Interlinking MuSK and ErbB2 and Its Impact on Acetylcholine Receptor Aggregation at the Neuromuscular Junction. Journal of Neuroscience. 30(19). 6620–6634. 19 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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