Muhammad Shafiq

1.1k total citations · 2 hit papers
35 papers, 610 citations indexed

About

Muhammad Shafiq is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Shafiq has authored 35 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Muhammad Shafiq's work include Software Engineering Techniques and Practices (12 papers), Software Engineering Research (10 papers) and Outsourcing and Supply Chain Management (5 papers). Muhammad Shafiq is often cited by papers focused on Software Engineering Techniques and Practices (12 papers), Software Engineering Research (10 papers) and Outsourcing and Supply Chain Management (5 papers). Muhammad Shafiq collaborates with scholars based in China, Saudi Arabia and Pakistan. Muhammad Shafiq's co-authors include Muhammad Azeem Akbar, Anas Bilal, Xiaowen Liu, Haixia Long, Haixia Long, Fazal-e- Amin, Arif Ali Khan, Qinghua Zhang, Shahid Hussain and Jun Sang and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Muhammad Shafiq

32 papers receiving 590 citations

Hit Papers

align trajectories

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.

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data

2024 53 citations Anas Bilal, Xiaowen Liu et al. Computers in Biology and Medicine profile →
Quantum computational infusion in extreme learning machines for early multi-cancer detection

2025 18 citations Anas Bilal, Muhammad Shafiq et al. Journal Of Big Data profile →

Peers

Muhammad Shafiq

IS

MIS

AI

RNMI

CVPR

Muhammad Waqas Nadeem Pakistan

Hani Alshahrani Saudi Arabia

Amerah Alabrah Saudi Arabia

Shaima Qureshi India

Hwan-Seung Yong South Korea

Mohammed Shuaib Saudi Arabia

Hanane Allioui Morocco

Ahmed S. Salama Egypt

Abdullah Alourani Saudi Arabia

Muhammad Azeem Akbar Finland

Muhammad Waqas Nadeem Pakistan

Muhammad Shafiq

136 ×0.6

IS

51 ×0.4

MIS

211 ×1.7

AI

176 ×1.5

RNMI

150 ×1.7

CVPR

Citations per year, relative to Muhammad Shafiq Muhammad Shafiq (= 1×) peers Muhammad Waqas Nadeem

Countries citing papers authored by Muhammad Shafiq

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Shafiq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shafiq

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bilal, Anas, et al.. (2025). Quantum computational infusion in extreme learning machines for early multi-cancer detection. Journal Of Big Data. 12(1). 18 indexed citations breakdown →

2.

Shafiq, Muhammad, et al.. (2025). Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection. Scientific Reports. 15(1). 23442–23442.

3.

Bilal, Anas, et al.. (2025). A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM. Scientific Reports. 15(1). 3254–3254. 14 indexed citations

4.

Parveen, Khalida, et al.. (2025). Gesture-enhanced adaptive learning platform for personalized AI-driven education. Interactive Learning Environments. 1–22.

5.

Bilal, Anas, et al.. (2025). Quantum chimp-enanced SqueezeNet for precise diabetic retinopathy classification. Scientific Reports. 15(1). 12890–12890. 4 indexed citations

6.

Bilal, Anas, et al.. (2024). NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data. Computers in Biology and Medicine. 171. 108099–108099. 53 indexed citations breakdown →

7.

Bilal, Anas, Azhar Imran, Xiaowen Liu, et al.. (2024). BC-QNet: A quantum-infused ELM model for breast cancer diagnosis. Computers in Biology and Medicine. 175. 108483–108483. 31 indexed citations

8.

Shafiq, Muhammad, et al.. (2024). Efficient nanoscale characterization of wafer surfaces using intelligent sampling and Bayesian optimization. Thermal Science and Engineering Progress. 52. 102676–102676. 2 indexed citations

9.

Shafiq, Muhammad, et al.. (2024). Thermal modeling and Machine learning for optimizing heat transfer in smart city infrastructure balancing energy efficiency and Climate Impact. Thermal Science and Engineering Progress. 54. 102868–102868. 6 indexed citations

10.

Parveen, Khalida, et al.. (2024). The contribution of quality management practices to student performance: Mediated by school culture. Heliyon. 10(15). e34892–e34892. 5 indexed citations

11.

Shafiq, Muhammad, et al.. (2024). DualEye-FeatureNet: A Dual-Stream Feature Transfer Framework for Multi-Modal Ophthalmic Image Classification. IEEE Access. 12. 143985–144008. 2 indexed citations

12.

Bilal, Anas, et al.. (2023). EdgeSVDNet: 5G-Enabled Detection and Classification of Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images. Electronics. 12(19). 4094–4094. 47 indexed citations

13.

Bilal, Anas, et al.. (2023). Increasing Crop Quality and Yield with a Machine Learning-Based Crop Monitoring System. Computers, materials & continua/Computers, materials & continua (Print). 76(2). 2401–2426. 23 indexed citations

14.

Shafiq, Muhammad, et al.. (2022). Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization. Scientific Programming. 2022. 1–7. 3 indexed citations

15.

Bilal, Anas, Muhammad Shafiq, Fang Fang, et al.. (2022). IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3. Sensors. 22(24). 9603–9603. 52 indexed citations

16.

Shafiq, Muhammad, et al.. (2022). Machine Learning-Based Multimodel Computing for Medical Imaging for Classification and Detection of Alzheimer Disease. Computational Intelligence and Neuroscience. 2022. 1–11. 7 indexed citations

17.

Shafiq, Muhammad, et al.. (2020). Towards successful global software development. 445–450. 7 indexed citations

18.

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

19.

Akbar, Muhammad Azeem, Jun Sang, Arif Ali Khan, et al.. (2017). Improving the Quality of Software Development Process by Introducing a New Methodology–AZ-Model. IEEE Access. 6. 4811–4823. 57 indexed citations

20.

Shafiq, Muhammad. (1987). Self-Perceptions of Heroin Addicts and Nonaddicts. 2. 38–49. 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.

Explore authors with similar magnitude of impact