Citation Impact
Citing Papers
Artificial intelligence applications in Latin American higher education: a systematic review
2022 Standout
Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability
2016
What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
2023 Standout
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
2017
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Machine-learning approaches in drug discovery: methods and applications
2014
COVID-19: A promising cure for the global panic
2020 Standout
Integrating Virtual Screening and Combinatorial Chemistry for Accelerated Drug Discovery
2011
Large language models in medicine
2023 Standout
Molecular fingerprint similarity search in virtual screening
2014
PubChem Substance and Compound databases
2015 Standout
Small-Molecule Library Screening by Docking with PyRx
2014 Standout
Artificial intelligence in drug development: present status and future prospects
2018 Standout
PubChem structure–activity relationship (SAR) clusters
2015
Applications of machine learning in drug discovery and development
2019 Standout
SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules
2017 Standout
Graph Kernels for Molecular Similarity
2010
Stacking faults in high-alloyed metastable austenitic cast steel observed by electron channelling contrast imaging
2010
Artificial intelligence in drug discovery and development
2020 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures
2015 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates
2019
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
2018
Molecular Docking and Structure-Based Drug Design Strategies
2015 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Systematic approach to natural gas usage for domestic heating in urban areas
2008
ProTox-II: a webserver for the prediction of toxicity of chemicals
2018 Standout
Dislocation and twin substructure evolution during strain hardening of an Fe–22wt.% Mn–0.6wt.% C TWIP steel observed by electron channeling contrast imaging
2011 Standout
Forecasting China’s natural gas demand based on optimised nonlinear grey models
2017 Standout
Molecular Docking: Shifting Paradigms in Drug Discovery
2019 Standout
Predicting academic performance by considering student heterogeneity
2018
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Casting of Fe–CrMnNi and ZrO2‐Based Metal–Matrix Composites and Their Wear Properties
2016
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Recognizing Pitfalls in Virtual Screening: A Critical Review
2012
The role of district heating in future renewable energy systems
2010 Standout
Molecular Docking: Challenges, Advances and its Use in Drug Discovery Perspective
2018 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Unlocking the value of artificial intelligence in human resource management through AI capability framework
2022 Standout
Short-term natural gas demand prediction based on support vector regression with false neighbours filtered
2014
Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
2012
Artificial Intelligence and Business Value: a Literature Review
2021 Standout
DeepTox: Toxicity Prediction using Deep Learning
2016
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
2020 Standout
A review on the production of metal matrix composites through stir casting – Furnace design, properties, challenges, and research opportunities
2019 Standout
VS-APPLE: A Virtual Screening Algorithm Using Promiscuous Protein–Ligand Complexes
2015
MES (multi-energy systems): An overview of concepts and evaluation models
2013 Standout
Works of Andreas Jahn being referenced
Estimation of the applicability domain of kernel-based machine learning models for virtual screening
2010
Interpreting linear support vector machine models with heat map molecule coloring
2011
jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints
2011
Optimal assignment methods for ligand-based virtual screening
2009
Large-Scale Learning of Structure−Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics
2011
Atomic Local Neighborhood Flexibility Incorporation into a Structured Similarity Measure for QSAR
2009
STT and DTT Diagrams of Austenitic Cr–Mn–Ni As‐Cast Steels and Crucial Thermodynamic Aspects of γ → α′ Transformation
2012
Investigations on martensite formation in CrMnNi-TRIP steels
2009
Strain Rate Dependent Flow Stress and Energy Absorption Behaviour of Cast CrMnNi TRIP/TWIP Steels
2011
Nichtrostende Stähle mit TRIP/TWIP/SBIP‐Effekt
2009
Phosphor Alloyed CrM nN i Austenitic As‐cast Stainless Steel with TRIP /TWIP Effect
2013
Mechanical properties of high alloyed cast and rolled CrMnNi TRIP steels with varying Ni contents
2009
Influence of Manganese and Nickel on the α´ Martensite Transformation Temperatures of High Alloyed Cr‐Mn‐Ni Steels
2011
Examining the potential of natural gas demand-side measures to benefit customers, the distribution utility, and the environment: two case studies from Europe
2004