Academician
ALİHAN TEKE
ARAŞTIRMA GÖREVLİSİ
GEBZE TEKNİK ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ HARİTA MÜHENDİSLİĞİ BÖLÜMÜ
- Ana Dal Mühendislik Temel Alanı
- Yan Dal Harita Mühendisliği
A quick look at recorded outputs — details below.
- Articles 6
- Projects 0
- Books 2
- Proceedings 12
- Patents 0
- Artistic 0
Scopus (SJR)
Q1
5
Q2
0
Q3
1
Q4
0
WoS (JCR)
Q1
4
Q2
1
Q3
0
Q4
1
TR Index
0
articles
Field+year+type normalized OpenAlex percentiles — not Clarivate ESI / SciVal.
Top 1% articles
2
Top 10% articles
5
Avg percentile
96.0%
Top 1% share
33.3%
Top 10% share
83.3%
Articles
Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.
Article list
- 2025 Explainable artificial intelligence to explore the intrinsic characteristics of climatic parameters governing meteorological drought forecasting: opening the black box YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.0%
- 2024 Exploring the decision-making process of ensemble learning algorithms in landslide susceptibility mapping: Insights from local and global explainable AI analyses YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.7%
- 2022 Ensemble Conditioning Factor Selection with Markov Chain Framework for Shallow Landslide Susceptibility Mapping in Lake Sapanca Basin and its Vicinity, Turkey YÖKSİS SJR Q3 JCR Q4 OpenAlex 82.1%
- 2022 Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost) YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%
- 2022 Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost) YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 100.0%
- 2021 Shared Blocks-Based Ensemble Deep Learning for Shallow Landslide Susceptibility Mapping YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.4%