Klavs F. Jensen

Molecular Biology · 2000–2021

A researcher in the Science corpus: 30 papers; trusts 22 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Molecular Biology — 235 citations into it; #8,434 of 17,773 by trust here, #3,217 by citations
Materials Chemistry — 157 citations into it; #1,362 of 11,513 by trust here, #1,999 by citations
Biomedical Engineering — 150 citations into it; #2,501 of 10,734 by trust here, #1,205 by citations
Computational Theory and Mathematics — 134 citations into it; #2,363 of 12,182 by trust here, #408 by citations
Computational Chemistry & Drug Discovery — 106 citations into it; #120 of 425 by trust here, #109 by citations
Electrical and Electronic Engineering — 68 citations into it; #7,308 of 16,539 by trust here, #4,391 by citations
Artificial Intelligence — 50 citations into it
Computational Mechanics — 15 citations into it

Whom Klavs F. Jensen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Klavs F. Jensen overall

Papers from Klavs F. Jensen's perspective

Ordered by how strongly the researchers Klavs F. Jensen trusts endorse each paper. Same corpus, a different order for every researcher.

Attention is All you Need (Neural Information Processing Systems)
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
Graph Attention Networks (International Conference on Learning Representations)
How Powerful are Graph Neural Networks?
Weisfeiler-Lehman Graph Kernels
Quantum chemistry structures and properties of 134 kilo molecules
Learning Protein Structure with a Differentiable Simulator
End-to-end differentiable learning of protein structure
Microfluidics: Basic issues, applications, and challenges

Their papers

A graph-convolutional neural network model for the prediction of chemical reactivity (2018) — 515 citations
Prediction of Organic Reaction Outcomes Using Machine Learning (2017) — 654 citations
Analyzing Learned Molecular Representations for Property Prediction (2019) — 1,807 citations
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles (2021) — 176 citations
Reconfigurable system for automated optimization of diverse chemical reactions (2018) — 365 citations
Machine Learning in Computer-Aided Synthesis Planning. (2018) — 563 citations
Using Machine Learning To Predict Suitable Conditions for Organic Reactions (2018) — 334 citations
Computer-Assisted Retrosynthesis Based on Molecular Similarity (2017) — 381 citations
Cells on chips (2006) — 2,077 citations
A Continuous‐Flow Microcapillary Reactor for the Preparation of a Size Series of CdSe Nanocrystals (2003) — 207 citations
Multiphase microfluidics: from flow characteristics to chemical and materials synthesis. (2006) — 905 citations
Mass transport and surface reactions in microfluidic systems (2006) — 314 citations
Design and fabrication of microfluidic devices for multiphase mixing and reaction (2002) — 224 citations
Microfluidic systems with on-line UV detection fabricated in photodefinable epoxy (2001) — 246 citations
On-demand continuous-flow production of pharmaceuticals in a compact, reconfigurable system (2016) — 777 citations
Reactive Polymer Coatings: A Platform for Patterning Proteins and Mammalian Cells onto a Broad Range of Materials (2002) — 135 citations
Full Color Emission from II–VI Semiconductor Quantum Dot–Polymer Composites (2000) — 683 citations
Deciding whether to go with the flow: evaluating the merits of flow reactors for synthesis. (2011) — 866 citations
Supercritical Continuous‐Microflow Synthesis of Narrow Size Distribution Quantum Dots (2008) — 152 citations
Membrane-Based, Liquid–Liquid Separator with Integrated Pressure Control (2013) — 165 citations