| Deep convolution neural network for image recognition BB Traore, B Kamsu-Foguem, F Tangara Ecological informatics 48, 257-268, 2018 | 444 | 2018 |
| Prognostics and health management for maintenance practitioners-Review, implementation and tools evaluation. V Atamuradov, K Medjaher, P Dersin, B Lamoureux, N Zerhouni International Journal of Prognostics and Health Management 8 (3), 1-31, 2017 | 365* | 2017 |
| Deep neural networks with transfer learning in millet crop images S Coulibaly, B Kamsu-Foguem, D Kamissoko, D Traore Computers in industry 108, 115-120, 2019 | 313 | 2019 |
| Mining association rules for the quality improvement of the production process B Kamsu-Foguem, F Rigal, F Mauget Expert systems with applications 40 (4), 1034-1045, 2013 | 221 | 2013 |
| Knowledge formalization in experience feedback processes: An ontology-based approach BK Foguem, T Coudert, C Béler, L Geneste Computers in Industry 59 (7), 694-710, 2008 | 184 | 2008 |
| BIM–New rules of measurement ontology for construction cost estimation FH Abanda, B Kamsu-Foguem, JHM Tah Engineering Science and Technology, an International Journal 20 (2), 443-459, 2017 | 168 | 2017 |
| Generating knowledge in maintenance from Experience Feedback PP Ruiz, BK Foguem, B Grabot Knowledge-Based Systems 68, 4-20, 2014 | 168 | 2014 |
| Knowledge reuse integrating the collaboration from experts in industrial maintenance management PAP Ruiz, B Kamsu-Foguem, D Noyes Knowledge-Based Systems 50, 171-186, 2013 | 122 | 2013 |
| Deep learning for precision agriculture: A bibliometric analysis S Coulibaly, B Kamsu-Foguem, D Kamissoko, D Traore Intelligent Systems with Applications 16, 200102, 2022 | 111 | 2022 |
| Telemedicine and mobile health with integrative medicine in developing countries B Kamsu-Foguem, C Foguem Health Policy and Technology 3 (4), 264-271, 2014 | 96 | 2014 |
| Continuous improvement through knowledge-guided analysis in experience feedback H Jabrouni, B Kamsu-Foguem, L Geneste, C Vaysse Engineering Applications of Artificial Intelligence 24 (8), 1419-1431, 2011 | 95 | 2011 |
| Adverse drug reactions in some African herbal medicine: literature review and stakeholders’ interview B Kamsu-Foguem, C Foguem Integrative medicine research 3 (3), 126-132, 2014 | 88 | 2014 |
| Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis AT Keleko, B Kamsu-Foguem, RH Ngouna, A Tongne AI and Ethics 2 (4), 553-577, 2022 | 87 | 2022 |
| Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures B Kamsu-Foguem Advanced engineering informatics 26 (4), 859-869, 2012 | 82 | 2012 |
| Graph-based reasoning in collaborative knowledge management for industrial maintenance B Kamsu-Foguem, D Noyes Computers in Industry 64 (8), 998-1013, 2013 | 80 | 2013 |
| Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine B Kamsu-Foguem, G Diallo, C Foguem Engineering Applications of Artificial Intelligence 26 (4), 1348-1365, 2013 | 79 | 2013 |
| Telemedicine framework using case-based reasoning with evidences A Sene, B Kamsu-Foguem, P Rumeau Computer methods and programs in biomedicine 121 (1), 21-35, 2015 | 64 | 2015 |
| Data mining techniques on satellite images for discovery of risk areas BB Traore, B Kamsu-Foguem, F Tangara Expert Systems with Applications 72, 443-456, 2017 | 63 | 2017 |
| Deep Convolution Neural Network sharing for the multi-label images classification S Coulibaly, B Kamsu-Foguem, D Kamissoko, D Traore Machine learning with applications 10, 100422, 2022 | 56 | 2022 |
| Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI AT Keleko, B Kamsu-Foguem, RH Ngouna, A Tongne Advances in Engineering Software 175, 103339, 2023 | 55 | 2023 |
