Asfandyar Khan

555 total citations
22 papers, 358 citations indexed

About

Asfandyar Khan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Asfandyar Khan has authored 22 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Asfandyar Khan's work include Mobile Ad Hoc Networks (3 papers), Machine Learning in Bioinformatics (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). Asfandyar Khan is often cited by papers focused on Mobile Ad Hoc Networks (3 papers), Machine Learning in Bioinformatics (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). Asfandyar Khan collaborates with scholars based in Pakistan, Saudi Arabia and China. Asfandyar Khan's co-authors include Abdullah Khan, Javed Iqbal Bangash, Arshad Khan, Abdul Waheed Khan, Imran Ahmed, Anwar Shah, Muhammad Azeem Akbar, Fazal-e- Amin, Muhammad Shafiq and Arif Ali Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Electrical Engineering.

In The Last Decade

Asfandyar Khan

21 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asfandyar Khan Pakistan 11 80 74 70 69 42 22 358
Shamimul Qamar Saudi Arabia 12 102 1.3× 64 0.9× 52 0.7× 78 1.1× 70 1.7× 49 357
M. Thenmozhi India 8 124 1.6× 43 0.6× 82 1.2× 91 1.3× 113 2.7× 43 382
T. Saravanan India 14 102 1.3× 66 0.9× 104 1.5× 68 1.0× 95 2.3× 57 488
Om Pal India 12 62 0.8× 41 0.6× 43 0.6× 147 2.1× 109 2.6× 36 408
S. John Justin Thangaraj India 10 74 0.9× 44 0.6× 43 0.6× 56 0.8× 99 2.4× 53 343
Mohammad Shahid India 12 105 1.3× 38 0.5× 142 2.0× 37 0.5× 34 0.8× 38 468
Raihan Ul Islam Bangladesh 11 158 2.0× 52 0.7× 143 2.0× 34 0.5× 99 2.4× 42 493
R. M. Bommi India 13 69 0.9× 62 0.8× 42 0.6× 39 0.6× 102 2.4× 40 378
G. Saranya India 11 117 1.5× 29 0.4× 67 1.0× 46 0.7× 30 0.7× 48 436
Ahmad F. Subahi Saudi Arabia 13 87 1.1× 54 0.7× 32 0.5× 109 1.6× 136 3.2× 24 425

Countries citing papers authored by Asfandyar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Asfandyar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asfandyar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Asfandyar Khan. A scholar is included among the top collaborators of Asfandyar 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 Asfandyar Khan. Asfandyar 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, Jawad, Asfandyar Khan, Madallah Alruwaili, et al.. (2025). A Hybrid Framework Combining Rule-Based and Deep Learning Approaches for Data-Driven Verdict Recommendations. Computers, materials & continua/Computers, materials & continua (Print). 83(3). 5345–5371. 1 indexed citations
2.
Khan, Faisal, et al.. (2024). Hybrid Crow Search and RBFNN: A Novel Approach to Medical Data Classification. SHILAP Revista de lepidopterología. 3(1). 252–264. 3 indexed citations
3.
Khan, Asfandyar, et al.. (2024). Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides. Information. 15(1). 48–48. 7 indexed citations
4.
Alruwaili, Madallah, Muhammad Hameed Siddiqi, Abdullah Khan, et al.. (2023). Deep Learning-Based YOLO Models for the Detection of People With Disabilities. IEEE Access. 12. 2543–2566. 14 indexed citations
5.
Khan, Abdullah, et al.. (2022). Comprehensive selective improvements in agri-informatics semantics. Journal of Information Science. 50(4). 910–923. 2 indexed citations
6.
Alruwaili, Madallah, et al.. (2022). RTF-RCNN: An Architecture for Real-Time Tomato Plant Leaf Diseases Detection in Video Streaming Using Faster-RCNN. Bioengineering. 9(10). 565–565. 27 indexed citations
7.
Khan, Asfandyar, Javed Iqbal Bangash, Fazli Subhan, et al.. (2021). Cuckoo Search-based SVM (CS-SVM) Model for Real-Time Indoor Position Estimation in IoT Networks. Security and Communication Networks. 2021. 1–7. 13 indexed citations
8.
9.
Khan, Abdullah, Haruna Chiroma, Muhammad Imran, et al.. (2020). Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC). Computers & Electrical Engineering. 86. 106737–106737. 28 indexed citations
10.
Khan, Abdullah, Javed Iqbal Bangash, Asfandyar Khan, et al.. (2020). Optimizing connection weights of functional link neural network using APSO algorithm for medical data classification. Journal of King Saud University - Computer and Information Sciences. 34(6). 2551–2561. 18 indexed citations
11.
Shah, Anwar, Javed Iqbal Bangash, Abdul Waheed Khan, et al.. (2020). Comparative analysis of median filter and its variants for removal of impulse noise from gray scale images. Journal of King Saud University - Computer and Information Sciences. 34(3). 505–519. 78 indexed citations
12.
Subhan, Fazli, et al.. (2019). Impact of Node Deployment and Routing for Protection of Critical Infrastructures. IEEE Access. 7. 11502–11514. 10 indexed citations
13.
Khan, Asfandyar, et al.. (2019). Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences. IEEE Access. 7. 68380–68391. 5 indexed citations
14.
Subhan, Fazli, Asfandyar Khan, Sajid Saleem, et al.. (2019). Experimental analysis of received signals strength in Bluetooth Low Energy (BLE) and its effect on distance and position estimation. Transactions on Emerging Telecommunications Technologies. 33(2). 31 indexed citations
15.
Shafiq, Muhammad, Qinghua Zhang, Muhammad Azeem Akbar, et al.. (2018). Effect of Project Management in Requirements Engineering and Requirements Change Management Processes for Global Software Development. IEEE Access. 6. 25747–25763. 74 indexed citations
16.
Khan, Shafi Ullah, et al.. (2018). Improving the Diversity of PSO for an Engineering Inverse Problem using Adaptive Inertia Weight. Tehnicki vjesnik - Technical Gazette. 25(6). 5 indexed citations
17.
Khan, Asfandyar, et al.. (2012). Collaboration in Routing and Velocity Measurement Function to Reduce Battery Consumption for Mobile Ad Hoc Networks. 2 indexed citations
18.
Khan, Asfandyar, et al.. (2008). Packet Size Based Routing for Stable Data Delivery in Mobile Ad-Hoc Networks. IEICE Transactions on Communications. E91-B(7). 2244–2254. 5 indexed citations
19.
Suzuki, Toshio, et al.. (2007). Proactive Cooperation Mechanism against Selfish Power Off for Mobile Ad Hoc Networks. IEICE Transactions on Communications. E90-B(10). 2702–2711. 1 indexed citations
20.
DeBrunner, Victor, et al.. (2002). The Telecomputing laboratory: a multipurpose facility used in DSP education at the University of Oklahoma. 2. 1117–1120. 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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