Faisal Bukhari

743 total citations
38 papers, 470 citations indexed

About

Faisal Bukhari is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Faisal Bukhari has authored 38 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Faisal Bukhari's work include Cloud Computing and Resource Management (10 papers), IoT and Edge/Fog Computing (7 papers) and Software System Performance and Reliability (7 papers). Faisal Bukhari is often cited by papers focused on Cloud Computing and Resource Management (10 papers), IoT and Edge/Fog Computing (7 papers) and Software System Performance and Reliability (7 papers). Faisal Bukhari collaborates with scholars based in Pakistan, Saudi Arabia and Qatar. Faisal Bukhari's co-authors include Matthew N. Dailey, Waheed Iqbal, Muhammad Abdullah, Abdelkarim Erradi, Saeed‐Ul Hassan, Zubair Nawaz, Iqra Safder, Naif Radi Aljohani, Raheel Nawaz and Rao Muhammad Adeel Nawab and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Faisal Bukhari

34 papers receiving 455 citations

Peers

Faisal Bukhari

CVPR

CNC

Saeed Ur Rehman Pakistan

Yi Zhuang China

Areej Alasiry Saudi Arabia

Mohamed Ezz Saudi Arabia

Hemanta Kumar Bhuyan India

Yuanyuan Guo China

Woong-Kee Loh South Korea

Muhammad Hanif Pakistan

Abdulrhman M. Alshareef Saudi Arabia

Liwei Huang China

Saeed Ur Rehman Pakistan

Faisal Bukhari

99 ×0.5

145 ×1.2

CVPR

101 ×1.0

97 ×1.0

CNC

26 ×0.4

Citations per year, relative to Faisal Bukhari Faisal Bukhari (= 1×) peers Saeed Ur Rehman

Countries citing papers authored by Faisal Bukhari

Since Specialization

Citations

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

Fields of papers citing papers by Faisal Bukhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faisal Bukhari

This figure shows the co-authorship network connecting the top 25 collaborators of Faisal Bukhari. A scholar is included among the top collaborators of Faisal Bukhari 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 Faisal Bukhari. Faisal Bukhari 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

Abdullah, Muhammad, et al.. (2025). CEMA: Cost Effective Multi-Layered Autoscaling for Microservice based Applications. Journal of Network and Computer Applications. 242. 104266–104266.

Abdullah, Muhammad, et al.. (2025). DIMA: machine learning based dynamic infrastructure management for containerized applications. Computing. 107(3). 1 indexed citations

Bukhari, Faisal, et al.. (2025). A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection. PeerJ Computer Science. 11. e2686–e2686.

Bukhari, Faisal, et al.. (2024). Enhancing Automated COVID Diagnosis from Chest X-rays using Convolutional Neural Networks and Transfer Learning. 1–9. 2 indexed citations

Abdullah, Muhammad, et al.. (2024). Cdascaler: a cost-effective dynamic autoscaling approach for containerized microservices. Cluster Computing. 27(4). 5195–5215. 5 indexed citations

Bukhari, Faisal, et al.. (2024). DETERMINING STUDENT'S ONLINE ACADEMIC PERFORMANCE USING MACHINE LEARNING TECHNIQUES. SHILAP Revista de lepidopterología. 14(3). 109–117. 1 indexed citations

Abdullah, Muhammad, et al.. (2022). Automatic Migration-Enabled Dynamic Resource Management for Containerized Workload. IEEE Systems Journal. 17(2). 2378–2389. 8 indexed citations

Bukhari, Faisal, et al.. (2022). A Predictive Analysis for Early Signs of Dementia. 1–5. 1 indexed citations

Bukhari, Faisal, et al.. (2022). Development of Low-Cost Surgical Simulator for Neuroendoscopy using Unity3D and HTC VIVE. 76. 1–6. 1 indexed citations

10.

Safder, Iqra, Raheem Sarwar, Saeed‐Ul Hassan, et al.. (2021). Sentiment analysis for Urdu online reviews using deep learning models. Expert Systems. 38(8). 27 indexed citations

11.

Bukhari, Faisal, et al.. (2021). Predictive Analysis of Congenital Heart Defects Prior to Birth. 1–6. 3 indexed citations

12.

Iqbal, Waheed, et al.. (2020). Automatic NoSQL to Relational Database Transformation with Dynamic Schema Mapping. Scientific Programming. 2020. 1–13. 8 indexed citations

13.

Abdullah, Muhammad, Waheed Iqbal, Arif Mahmood, Faisal Bukhari, & Abdelkarim Erradi. (2020). Predictive Autoscaling of Microservices Hosted in Fog Microdata Center. IEEE Systems Journal. 15(1). 1275–1286. 43 indexed citations

14.

Abdullah, Muhammad, Waheed Iqbal, Faisal Bukhari, & Abdelkarim Erradi. (2020). Diminishing Returns and Deep Learning for Adaptive CPU Resource Allocation of Containers. IEEE Transactions on Network and Service Management. 17(4). 2052–2063. 15 indexed citations

15.

Alhakamy, Nabil A., et al.. (2020). Knowledge and attitude about basic life support and emergency medical services among pharmacy students at King Abdulaziz University, Jeddah, Saudi Arabia. SHILAP Revista de lepidopterología. 1(2). 70–74. 3 indexed citations

16.

Asif, Muhammad, et al.. (2020). Important citation identification by exploiting content and section-wise in-text citation count. PLoS ONE. 15(3). e0228885–e0228885. 19 indexed citations

17.

Malik, Muhammad Kamran, et al.. (2020). Named Entity Recognition and Classification for Punjabi Shahmukhi. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(4). 1–13. 18 indexed citations

18.

Hassan, Saeed‐Ul, Saira Hanif Soroya, Iqra Safder, et al.. (2020). Sentiment analysis of tweets through Altmetrics: A machine learning approach. Journal of Information Science. 47(6). 712–726. 25 indexed citations

19.

Bukhari, Faisal, et al.. (2020). Cleft prediction before birth using deep neural network. Health Informatics Journal. 26(4). 2568–2585. 23 indexed citations

20.

Chaudhary, Ayesha, et al.. (2019). Laparoscopic Training Exercises using HTC VIVE. Intelligent Automation & Soft Computing. 1. 6 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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