| Crypto mining attacks in information systems: An emerging threat to cyber security A Zimba, Z Wang, M Mulenga, NH Odongo Journal of Computer Information Systems, 2020 | 66 | 2020 |
| Feature extension of gut microbiome data for deep neural network-based colorectal cancer classification M Mulenga, SA Kareem, AQM Sabri, M Seera, S Govind, C Samudi, ... IEEE Access 9, 23565-23578, 2021 | 43 | 2021 |
| Cryptojacking injection: A paradigm shift to cryptocurrency-based web-centric internet attacks A Zimba, Z Wang, M Mulenga Journal of Organizational Computing and Electronic Commerce 29 (1), 40-59, 2019 | 30 | 2019 |
| Recent advances in cryptovirology: State-of-the-art crypto mining and crypto ransomware attacks A Zimba, Z Wang, H Chen, M Mulenga KSII Transactions on Internet and Information Systems (TIIS) 13 (6), 3258-3279, 2019 | 24 | 2019 |
| A dive into the deep: demystifying wannacry crypto ransomware network attacks via digital forensics A Zimba, M Mulenga International Journal on Information Technologies and Security 10 (2), 57-68, 2018 | 20 | 2018 |
| Deep learning techniques for solar tracking systems: A systematic literature review, research challenges, and open research directions M Phiri, M Mulenga, A Zimba, CI Eke Solar Energy 262, 111803, 2023 | 19 | 2023 |
| Stacking and chaining of normalization methods in deep learning-based classification of colorectal cancer using gut microbiome data M Mulenga, SA Kareem, AQM Sabri, M Seera IEEE Access 9, 97296-97319, 2021 | 18 | 2021 |
| Machine learning approach for detecting and combating bring your own device (BYOD) security threats and attacks: a systematic mapping review CI Eke, AA Norman, M Mulenga Artificial Intelligence Review 56 (8), 8815-8858, 2023 | 17 | 2023 |
| Challenges of Agile Development and Implementation in a Developing Country: A Zambia Case Study. D Kunda, M Mulenga, M Sinyinda, V Chama J. Comput. Sci. 14 (5), 585-600, 2018 | 11 | 2018 |
| An Analysis of Security and Performance Concerns in Mobile Web Application Development: Challenges and Open Issues D Kunda, M Chishimba, M Mulenga, V Chama Mulungushi University, 2017 | 3 | 2017 |
| A multistage hybrid deep learning model for enhanced solar tracking M Mulenga, M Phiri, L Simukonda, FA Alaba IEEE Access 11, 129449-129466, 2023 | 2 | 2023 |
| Deep Learning Techniques for Photovoltaic Solar Tracking Systems: A Systematic Literature Review M Phiri, M Mulenga, A Zimba, CI Eke | 1 | 2023 |
| Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis M Mulenga, A Rajamanikam, S Kumar, S Muhammad, S Bhassu, ... PloS one 20 (1), e0316493, 2025 | | 2025 |
| Explainable AI for Colorectal Cancer Classification M Mulenga, M Seera, SA Kareem, AQM Sabri Explainable AI in Health Informatics, 203-223, 2024 | | 2024 |
| Effective Tweets Classification for Disaster Crisis based on Ensemble of Classifiers CI Eke, M Mulenga, M Phiri, AS Al-Shamayleh, M Imran, DK Kwaghtyo | | 2023 |
| Feature Enhancement and Chaining of Deep Nueral Networks in Colorectal Cancer Classifaction based on Gut-Microbiome Data M Mulenga, M Phiri, L Simukonda Proceedings of International Conference for ICT (ICICT)-Zambia 5 (1), 59-63, 2023 | | 2023 |
| A Deep Hybrid Learning Model for Photovoltaic Solar Tracking Systems M Phiri, M Mulenga, D Kunda, FA Alaba Proceedings of International Conference for ICT (ICICT)-Zambia 5 (1), 53-58, 2023 | | 2023 |
| Correction to “Stacking and Chaining of Normalization Methods in Deep Learning-Based Classification of Colorectal Cancer Using Gut Microbiome Data” M Mulenga, SA Kareem, AQM Sabri, M Seera IEEE Access 11, 44649-44649, 2023 | | 2023 |
| Correction to “Feature Extension of Gut Microbiome Data for Deep Neural Network-Based Colorectal Cancer Classification” M Mulenga, SA Kareem, AQM Sabri, M Seera, S Govind, C Samudi, ... IEEE Access 11, 44636-44636, 2023 | | 2023 |
| Using Array-Shift Algorithm to Implement an AJAX based Statistical Software for Use in Higher Education in Developing Countries M Mulenga, L Simukonda | | |