Muhammad Adnan

595 total citations · 1 hit paper
28 papers, 323 citations indexed

About

Muhammad Adnan is a scholar working on Education, Computer Science Applications and Information Systems. According to data from OpenAlex, Muhammad Adnan has authored 28 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 7 papers in Computer Science Applications and 6 papers in Information Systems. Recurrent topics in Muhammad Adnan's work include Online Learning and Analytics (6 papers), Mobile Learning in Education (3 papers) and Online and Blended Learning (3 papers). Muhammad Adnan is often cited by papers focused on Online Learning and Analytics (6 papers), Mobile Learning in Education (3 papers) and Online and Blended Learning (3 papers). Muhammad Adnan collaborates with scholars based in Pakistan, Saudi Arabia and United States. Muhammad Adnan's co-authors include M. Irfan Uddin, Asad Habib, Shafaq Mussadiq, Maryam Bashir, Мuhammad Abid, Sana Ullah Khan, Samina Amin, Duaa AlSaeed, Atif Khan and Fahd S. Alharithi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Heliyon.

In The Last Decade

Muhammad Adnan

22 papers receiving 307 citations

Hit Papers

Predicting at-Risk Students at Different Percentages of C... 2021 2026 2022 2024 2021 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models
    2021 125 citations Muhammad Adnan, Asad Habib et al. IEEE Access profile →

Peers

Muhammad Adnan
Miloš Jovanović Serbia
Milan Vukičević Serbia
Som Biswas United States
Samina Amin Pakistan
Antonio Sarasa Cabezuelo Spain
Yousef Asiri Saudi Arabia
Mozaherul Hoque Abul Hasanat Saudi Arabia
Álvaro Sobrinho Brazil
Ehsan Latif United States
Lucy Hederman Ireland
Miloš Jovanović Serbia
Muhammad Adnan
Citations per year, relative to Muhammad Adnan Muhammad Adnan (= 1×) peers Miloš Jovanović

Countries citing papers authored by Muhammad Adnan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Adnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Adnan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Adnan. A scholar is included among the top collaborators of Muhammad Adnan 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 Adnan. Muhammad Adnan 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.
Adnan, Muhammad, et al.. (2025). AI-Driven Innovation Using Multimodal and Personalized Adaptive Education for Students With Special Needs. IEEE Access. 13. 69790–69820. 1 indexed citations
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Adnan, Muhammad, et al.. (2024). Pengembangan Modul Ajar P5 Menggunakan Model Pembelajaran Discovery Learning Berbasis Media Pembelajaran IT di SD. SHILAP Revista de lepidopterología. 10(1). 342–348.
4.
Adnan, Muhammad, et al.. (2024). Heterogeneous Acceleration Pipeline for Recommendation System Training. 1063–1079. 5 indexed citations
5.
Farooq, Aamir, et al.. (2024). Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer. Heliyon. 10(22). e40142–e40142. 2 indexed citations
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Adnan, Muhammad, et al.. (2023). The Performance Analysis of Machine Learning Algorithms for Credit Card Fraud Detection. International Journal of Online and Biomedical Engineering (iJOE). 19(3). 82–98. 10 indexed citations
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Adnan, Muhammad, et al.. (2022). How Social Media moderates the impact of Service Quality and Customer Satisfaction on Consumer Loyalty. Review of Applied Management and Social Sciences. 5(3). 309–321. 1 indexed citations
10.
Adnan, Muhammad, et al.. (2022). Were Employee Welfare and Work Commitment Impacted by the High Performance Work System?. Journal of Hunan University Natural Sciences. 49(9). 179–189.
11.
Adnan, Muhammad, Asad Habib, Shafaq Mussadiq, et al.. (2021). Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models. IEEE Access. 9. 7519–7539. 125 indexed citations breakdown →
12.
Adnan, Muhammad, Maryam Altalhi, Ala Abdulsalam Alarood, & M. Irfan Uddin. (2021). Modeling the Spread of COVID-19 by Leveraging Machine and Deep Learning Models. Intelligent Automation & Soft Computing. 31(3). 1857–1872. 3 indexed citations
13.
Amin, Samina, M. Irfan Uddin, Duaa AlSaeed, Atif Khan, & Muhammad Adnan. (2021). Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches. Complexity. 2021(1). 21 indexed citations
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Adnan, Muhammad, et al.. (2020). Improving M-Learners’ Performance Through Deep Learning Techniques by Leveraging Features Weights. IEEE Access. 8. 131088–131106. 5 indexed citations
16.
Adnan, Muhammad, et al.. (2019). Deep neural network based m-learning model for predicting mobile learners’ performance. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(3). 1422–1441. 5 indexed citations
17.
Adnan, Muhammad, et al.. (2018). Scaffolding computer programming languages learning with tailored English vocabulary based on learners' performance states. ICST Transactions on Scalable Information Systems. 166350–166350.
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Akram, Muhammad Tahir, et al.. (2014). Isolation and Identification of UTI Causing Agents and Frequency of ESBL (Extended Spectrum Beta Lactamase) in Pakistan. American journal of phytomedicine and clinical therapeutics. 2(8). 963–975. 5 indexed citations
20.
Ishaq, Muhammad, et al.. (2013). Comparative Study of Heavy Metals in Albizia lebbeck, collected from different Environmental Sites. 2 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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