Sen, D., Huseyinoglu, M.F., & Günay, M.E. (2023). Prediction of global temperature anomaly by machine learning based techniques. Neural Computing and Applications, 35 (21), 15601-15614

Sen, D., Hamurcuoglu, K. I., Ersoy, M. Z., Tunç, K. M., & Günay, M. E. (2023). Forecasting long-term world annual natural gas production by machine learning. Resources Policy, 80, 103224

Sen, D., Tunç, K. M., & Günay, M. E. (2021). Forecasting electricity consumption of OECD countries: A global machine learning modeling approach. Utilities Policy, 70, 101222.

Donmez, C. C., Sen, D., Dereli, A. F., Horasan, M. B., Yildiz, C., & Kaplan Donmez, N. F. (2021). An Investigation of Fiat Characterization and Evolutionary Dynamics of the Cryptocurrency Market. SAGE Open, 11(1), 2158244021994809.

Şen, D., Dönmez, C. Ç., & Yıldırım, U. M. (2020). A hybrid bi-level metaheuristic for credit scoring. Information Systems Frontiers, 22(5), 1009-1019.

Sen, D., Günay, M. E., & Tunç, K. M. (2019). Forecasting annual natural gas consumption using socio-economic indicators for making future policies. Energy, 173, 1106-1118.

Şimşir, M., Yıldırım, U. M., & Şen, D. (2024). User-based relocation strategy for free floating car-sharing system: An Istanbul case. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 30(7), 934-943.

Sen, D., Bingol, S., & Vayvay, O. (2017). Strategic enterprise management for innovative companies: The last decade of the balanced scorecard. International Journal of Asian Social Science, 7(1), 97-109.

Sen, D., Tunc, M., & Ozilhan, T. (2013). Investment analysis of a new solar Power Plant. International Journal of Renewable and Sustainable Energy, 2(6), 229-241.

Şen, D., Gökçen, A., Koşanay, B., Balkan, E. (2025). Framework for AI-Driven Heritage Research at Silahtarağa Archive., Digital Humanities Conference (DH 2025), Lisbon.

Gebeş, D.U., Yavaş, Ş., Polat, B., Aslan, İ., Kocavelioğlu, A., Şen, D. (2025). Multi-Agent System Design in HR and IT Help Desks., 44th National Congress of OR and IE, Ankara.

Ilba, N. Y., Yildirim, U. M., & Sen, D. (2024). Painter Profile Clustering Using NLP Features. In COMPLEXIS (pp. 91-98)

Ilba, N.Y., Bas, B., Eroglu, I., Tomurcuk, A., Cakici, H., & Sen D. (2022). Determining Risk Levels for Musical Instruments using Machine Learning and Metaheuristic Algorithms. 41st National Congress of OR and IE, Denizli.

Tunc, M., Esen, A. N., Sen, D., & Karakas, A. (2018). Theoretical Post-Dryout Heat Transfer Model. International Journal of Computational Physics Series, 1(1), 142-150.

Donmez, C. C., & Sen, D. (2018). Desirability index with sector analysis for investment decisions by Bernoulli theorem: a case of FTSE-100. International Journal of Computational Physics Series, 1(1), 151-160.

Sen, D., Ozturk, M., & Vayvay, O. (2016). An overview of big data for growth in SMEs. Procedia-Social and Behavioral Sciences, 235, 159-167.

Sen, D., Ozturk, M., & Tuzkaya, G. (2016). Green Ship Routing: Basic Concepts and Literature. Proceedings of 5th National Congress of Supply Chain, Mersin.