Junaid Khan

525 total citations
18 papers, 347 citations indexed

About

Junaid Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Junaid Khan has authored 18 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Ocean Engineering. Recurrent topics in Junaid Khan's work include Ship Hydrodynamics and Maneuverability (3 papers), Maritime Navigation and Safety (3 papers) and Machine Learning and ELM (2 papers). Junaid Khan is often cited by papers focused on Ship Hydrodynamics and Maneuverability (3 papers), Maritime Navigation and Safety (3 papers) and Machine Learning and ELM (2 papers). Junaid Khan collaborates with scholars based in South Korea, Saudi Arabia and Kyrgyzstan. Junaid Khan's co-authors include Shahan Yamin Siddiqui, Iftikhar Naseer, Amir Haider, Munir Ahmad, Mohammad Kamrul Hasan, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal, Karamath Ateeq and MuhibUr Rahman and has published in prestigious journals such as PLoS ONE, IEEE Access and Applied Sciences.

In The Last Decade

Junaid Khan

15 papers receiving 332 citations

Peers

Junaid Khan
Taoseef Ishtiak Bangladesh
Junaid Khan
Citations per year, relative to Junaid Khan Junaid Khan (= 1×) peers Taoseef Ishtiak

Countries citing papers authored by Junaid Khan

Since Specialization
Citations

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

Fields of papers citing papers by Junaid Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junaid Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Junaid Khan. A scholar is included among the top collaborators of Junaid 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 Junaid Khan. Junaid Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
3.
Mahmood, Hasan, et al.. (2024). Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map. Information. 15(3). 172–172. 7 indexed citations
4.
Khan, Junaid, et al.. (2024). Synthetic Maritime Traffic Generation System for Performance Verification of Maritime Autonomous Surface Ships. Applied Sciences. 14(3). 1176–1176. 4 indexed citations
5.
Khan, Junaid, et al.. (2024). Optimizing prediction accuracy in dynamic systems through neural network integration with Kalman and alpha-beta filters. PLoS ONE. 19(10). e0311734–e0311734. 2 indexed citations
6.
Khan, Junaid, et al.. (2024). Deep learning innovations in South Korean maritime navigation: Enhancing vessel trajectories prediction with AIS data. PLoS ONE. 19(10). e0310385–e0310385. 4 indexed citations
7.
Khan, Junaid, et al.. (2024). Lightweight and Efficient YOLOv8 With Residual Attention Mechanism for Precise Leukemia Detection and Classification. IEEE Access. 12. 159395–159413. 6 indexed citations
9.
Fayaz, Muhammad, Junaid Khan, & Muhammad Bilal. (2023). Effectual Energy Consumption and User Comfort Optimization Based on Dynamic User Set Parameters in Electric Vehicles. IEEE Transactions on Intelligent Vehicles. 9(1). 178–189. 4 indexed citations
10.
Khan, Junaid, et al.. (2023). An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions. Applied Sciences. 13(4). 2556–2556. 15 indexed citations
11.
Khan, Junaid, et al.. (2023). A Comprehensive Review of Conventional, Machine Leaning, and Deep Learning Models for Groundwater Level (GWL) Forecasting. Applied Sciences. 13(4). 2743–2743. 59 indexed citations
12.
13.
Khan, Junaid, et al.. (2022). A Performance Evaluation of the Alpha-Beta (α-β) Filter Algorithm with Different Learning Models: DBN, DELM, and SVM. Applied Sciences. 12(19). 9429–9429. 13 indexed citations
14.
Khan, Junaid, et al.. (2022). A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network. CAAI Transactions on Intelligence Technology. 8(4). 1124–1139. 58 indexed citations
16.
Siddiqui, Shahan Yamin, Amir Haider, Taher M. Ghazal, et al.. (2021). IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning. IEEE Access. 9. 146478–146491. 139 indexed citations
17.
Khan, Junaid, et al.. (2021). An Improved Alpha Beta Filter Using a Deep Extreme Learning Machine. IEEE Access. 9. 61548–61564. 20 indexed citations
18.
Qureshi, Muhammad Shuaib, et al.. (2020). An Efficient Methodology for Water Supply Pipeline Risk Index Prediction for Avoiding Accidental Losses. International Journal of Advanced Computer Science and Applications. 11(5). 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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