Hani Alquhayz

1.4k total citations
55 papers, 915 citations indexed

About

Hani Alquhayz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hani Alquhayz has authored 55 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hani Alquhayz's work include AI in cancer detection (6 papers), Digital Imaging for Blood Diseases (5 papers) and IoT and Edge/Fog Computing (4 papers). Hani Alquhayz is often cited by papers focused on AI in cancer detection (6 papers), Digital Imaging for Blood Diseases (5 papers) and IoT and Edge/Fog Computing (4 papers). Hani Alquhayz collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Hani Alquhayz's co-authors include Basit Raza, Ahmad Raza Shahid, Allah Ditta, Muhammad Adnan Khan, Mehdi Hassan, Mahdi Jemmali, Amir Hanif Dar, Muhammad Faheem, Sagheer Abbas and Rizwan Aslam Butt and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Hani Alquhayz

54 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hani Alquhayz Saudi Arabia	17	318	196	163	141	130	55	915
Hesham Alhumyani Saudi Arabia	20	292 0.9×	287 1.5×	199 1.2×	265 1.9×	339 2.6×	64	1.2k
Amir Haider South Korea	17	231 0.7×	265 1.4×	108 0.7×	317 2.2×	103 0.8×	64	1.0k
Samih M. Mostafa Egypt	18	264 0.8×	182 0.9×	75 0.5×	140 1.0×	108 0.8×	91	851
Muhammad Farhan Khan Pakistan	13	267 0.8×	164 0.8×	135 0.8×	112 0.8×	87 0.7×	54	742
Sharaf J. Malebary Saudi Arabia	18	413 1.3×	208 1.1×	116 0.7×	202 1.4×	99 0.8×	53	1.2k
Mahmoud Ragab Saudi Arabia	17	465 1.5×	167 0.9×	250 1.5×	68 0.5×	124 1.0×	139	1.1k
V. Vinoth Kumar India	21	435 1.4×	165 0.8×	194 1.2×	101 0.7×	142 1.1×	75	1.1k
Kalpna Guleria India	20	426 1.3×	492 2.5×	318 2.0×	243 1.7×	170 1.3×	156	1.9k
Atef Zaguia Saudi Arabia	19	326 1.0×	179 0.9×	184 1.1×	82 0.6×	245 1.9×	51	1.2k
José Escorcia‐Gutierrez Colombia	18	364 1.1×	122 0.6×	170 1.0×	52 0.4×	230 1.8×	55	814

Countries citing papers authored by Hani Alquhayz

Since Specialization

Citations

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

Fields of papers citing papers by Hani Alquhayz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hani Alquhayz

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

All Works

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20 of 20 papers shown

Bukhari, Ayaz Hussain, Muhammad Asif Zahoor Raja, Hani Alquhayz, et al.. (2024). Predictive analysis of stochastic stock pattern utilizing fractional order dynamics and heteroscedastic with a radial neural network framework. Engineering Applications of Artificial Intelligence. 135. 108687–108687. 6 indexed citations

Gohar, Moneeb, et al.. (2024). Use of QUIC for Mobile-Oriented Future Internet (Q-MOFI). Electronics. 13(2). 431–431. 1 indexed citations

Gohar, Moneeb, et al.. (2024). Enhanced backoff mechanism for uplink OFDMA in Wireless Local Area Network. Journal of King Saud University - Computer and Information Sciences. 36(3). 102005–102005.

Bukhari, Ayaz Hussain, et al.. (2023). Design of intelligent hybrid NAR-GRNN paradigm for fractional order VDP chaotic system in cardiac pacemaker with relaxation oscillator. Chaos Solitons & Fractals. 175. 114047–114047. 11 indexed citations

Hassan, Mehdi, et al.. (2023). Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images. Interdisciplinary Sciences Computational Life Sciences. 15(2). 273–292. 4 indexed citations

Alquhayz, Hani, et al.. (2022). The multi-level classification network (MCN) with modified residual U-Net for ischemic stroke lesions segmentation from ATLAS. Computers in Biology and Medicine. 151(Pt A). 106332–106332. 9 indexed citations

Fahad, Labiba Gillani, et al.. (2022). Fruits and Vegetables Freshness Categorization Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 71(3). 5083–5098. 28 indexed citations

Abbas, Sagheer, et al.. (2022). Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition. Sensors. 22(18). 7002–7002. 4 indexed citations

Alquhayz, Hani & Mahdi Jemmali. (2021). Max-Min Processors Scheduling. Information Technology And Control. 50(1). 5–12. 9 indexed citations

10.

Raja, Muhammad Asif Zahoor, Mohammad Sabati, Muhammad Awais, et al.. (2021). Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow. Scientific Reports. 11(1). 22550–22550. 43 indexed citations

11.

Jemmali, Mahdi, et al.. (2021). Optimal algorithm for a two-machine flowshop scheduling problem with release dates and blocking constraints. Journal of the Chinese Institute of Engineers. 44(5). 440–447. 3 indexed citations

12.

Raza, Basit, Ahmad Kamran Malik, Ahmad Raza Shahid, et al.. (2020). An Optimally Configured and Improved Deep Belief Network (OCI-DBN) Approach for Heart Disease Prediction Based on Ruzzo–Tompa and Stacked Genetic Algorithm. IEEE Access. 8. 65947–65958. 56 indexed citations

13.

Faheem, Muhammad, Rizwan Aslam Butt, Basit Raza, et al.. (2020). FFRP: Dynamic Firefly Mating Optimization Inspired Energy Efficient Routing Protocol for Internet of Underwater Wireless Sensor Networks. IEEE Access. 8. 39587–39604. 56 indexed citations

14.

Hassan, Mehdi, et al.. (2020). Developing intelligent medical image modality classification system using deep transfer learning and LDA. Scientific Reports. 10(1). 12868–12868. 37 indexed citations

15.

Zubair, Syed, et al.. (2020). Speech Enhancement for Multimodal Speaker Diarization System. IEEE Access. 8. 126671–126680. 7 indexed citations

16.

Khan, Muhammad Adnan, Sagheer Abbas, Ayesha Atta, et al.. (2020). Intelligent Cloud Based Heart Disease Prediction System Empowered with Supervised Machine Learning. Computers, materials & continua/Computers, materials & continua (Print). 65(1). 139–151. 55 indexed citations

17.

Alquhayz, Hani. (2019). User Preferences With Urgent-Time Intervals in a Wireless-Network. Communications in Mathematics and Applications. 10(1). 123–130. 2 indexed citations

18.

Asim, Yousra, et al.. (2019). An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest. IEEE Access. 7. 87732–87749. 10 indexed citations

19.

Alquhayz, Hani, Nasser Alalwan, Ahmed Ibrahim Alzahrani, Ali H. Al‐Bayatti, & Mhd Saeed Sharif. (2019). Policy-Based Security Management System for 5G Heterogeneous Networks. Wireless Communications and Mobile Computing. 2019. 1–14. 9 indexed citations

20.

Iftikhar, Muhammad Aksam, Mehdi Hassan, & Hani Alquhayz. (2016). A colon cancer grade prediction model using texture and statistical features, SMOTE and mRMR. 1–7. 7 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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