| AqSolDB, a curated reference set of aqueous solubility and 2D descriptors for a diverse set of compounds MC Sorkun, A Khetan, S Er Scientific data 6 (1), 143, 2019 | 175 | 2019 |
| Time series forecasting on solar irradiation using deep learning MC Sorkun, C Paoli, ÖD Incel 2017 10th international conference on electrical and electronics engineering …, 2017 | 65 | 2017 |
| An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery MC Sorkun, S Astruc, JMVA Koelman, S Er npj Computational Materials 6 (1), 106, 2020 | 63 | 2020 |
| ChemPlot, a Python library for chemical space visualization M Cihan Sorkun, D Mullaj, JMVA Koelman, S Er Chemistry‐Methods 2 (7), e202200005, 2022 | 60* | 2022 |
| Time series forecasting on multivariate solar radiation data using deep learning (LSTM) MC Sorkun, ÖD Incel, C Paoli Turkish Journal of Electrical Engineering and Computer Sciences 28 (1), 211-223, 2020 | 49 | 2020 |
| Pushing the limits of solubility prediction via quality-oriented data selection MC Sorkun, JMVA Koelman, S Er Iscience 24 (1), 2021 | 41 | 2021 |
| RedDB, a computational database of electroactive molecules for aqueous redox flow batteries E Sorkun, Q Zhang, A Khetan, MC Sorkun, S Er Scientific Data 9 (1), 718, 2022 | 26 | 2022 |
| Fraud detection on financial statements using data mining techniques MC Sorkun, T Toraman Intelligent Systems and Applications in Engineering 5 (3), 132-134, 2017 | 22 | 2017 |
| Human activity recognition with mobile phone sensors: Impact of sensors and window size MC Sorkun, AE Danişman, ÖD İncel 2018 26th signal processing and communications applications conference (SIU …, 2018 | 14 | 2018 |
| ML-aided computational screening of 2D materials for photocatalytic water splitting Y Wang, MC Sorkun, G Brocks, S Er The Journal of Physical Chemistry Letters 15 (18), 4983-4991, 2024 | 3 | 2024 |
| Time series forecasting on solar radiation using deep learning MC Sorkun Fen Bilimleri Enstitüsü, 2018 | 2 | 2018 |
| RedPred, a machine learning model for the prediction of redox reaction energies of the aqueous organic electrolytes MC Sorkun, EN Ghassemi, C Yatbaz, JMVA Koelman, S Er Artificial Intelligence Chemistry 2 (1), 100064, 2024 | 1 | 2024 |
| Compression experiments on term-document index MC Sorkun, C Özbey 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 1 | 2017 |
| Secondhand Car Price Estimation Using Artificial Neural Network MC Sorkun 2016 International Conference on Artificial Intelligence and Data Processing …, 2016 | 1 | 2016 |
| ChemPrice, a Python Package for Automated Chemical Price Search M Cihan Sorkun, B Saliou, S Er Chemistry‐Methods, e202400005, 2024 | | 2024 |
| Learning from Observations, a Bayesian Solution to the Secretary Problem MC Sorkun | | 2023 |
| Artificial Intelligence-driven Discovery of Materials for Energy Applications MC Sorkun | | 2022 |
| Terim-Doküman Matrisleri için Sıralamaya Dayalı Bir Kayıpsız Sıkıştırma Şeması C Özbey, MC Sorkun Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 11 (2), 30-40, 2018 | | 2018 |
| Elektronik Finansal Veriler Üzerinden Müşteri Davranışı Analizi MC Sorkun BİLDİRİ KİTABI, 7, 2018 | | 2018 |
| GÖMÜLÜ SİSTEM ÜZERİNDE UYGULANAN İKİLİ YEDEKLEME YÖNTEMİ İLE AKSAKLIĞA DAYANIKLI YAZILIM MİMARİSİ MC Sorkun, S Bayar Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 19 …, 2017 | | 2017 |
