OOIR: Observatory of International Research

Papers

(The H4-Index of Nature Machine Intelligence is 73. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)

Article	Citations
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	535
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	485
Physical benchmarks for testing algorithms	389
Wiring up recurrent neural networks	381
Materiality and risk in the age of pervasive AI sensors	373
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	352
Investigating machine moral judgement through the Delphi experiment	336
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	317
Artificial intelligence tackles the nature–nurture debate	257
Discussions of machine versus living intelligence need more clarity	238
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	230
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	226
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	224
Human autonomy in the age of artificial intelligence	218
A challenge for the law and artificial intelligence	216
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	192
A question of trust for AI research in medicine	186
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	186
Advancing ethics review practices in AI research	178
Robotic body augmentation	178
A Global South perspective for ethical algorithms and the State	175
Fast and generalizable micromagnetic simulation with deep neural nets	169
Sparsity provides a competitive advantage	168
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI	168
Transformer-based protein generation with regularized latent space optimization	167

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	167
Next-generation phenotyping of inherited retinal diseases from multimodal imaging with Eye2Gene	159
Maximum diffusion reinforcement learning	155
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics	155
AI pioneers win 2024 Nobel prizes	153
The curious case of the test set AUROC	143
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction	142
Robust virtual staining of landmark organelles with Cytoland	139
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	138
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	137
Bringing artificial intelligence to business management	128
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning	126
Quantum circuit optimization with AlphaTensor	118
Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	111
How to break information cocoons	110
A new perspective on the simulation of stochastic problems in fluid mechanics with diffusion models	107
Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling	106
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin	105
Combinatorial optimization with physics-inspired graph neural networks	105
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	104
Machine learning prediction of enzyme optimum pH	103
Learning from models beyond fine-tuning	102
Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	102
Codon language embeddings provide strong signals for use in protein engineering	102
What’s the next word in large language models?	101
Laplace neural operator for solving differential equations	100
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework	100
Collaborative creativity in AI	95
AI reality check	91
Foundation models in healthcare require rethinking reliability	89
Bridging peptide presentation and T cell recognition with multi-task learning	89
A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments	88
The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols	86
Seeking a quantum advantage for machine learning	86
A personalized time-resolved 3D mesh generative model for unveiling normal heart dynamics	86
What is in your LLM-based framework?	86
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators	85
Unifying multi-sample network inference from prior knowledge and omics data with CORNETO	84
Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands	83
Image-based generation for molecule design with SketchMol	82
Autoregressive neural-network wavefunctions for ab initio quantum chemistry	78
Learning high-level visual representations from a child’s perspective without strong inductive biases	77
A deep generative model enables automated structure elucidation of novel psychoactive substances	77
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation	76
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning	75
A deep generative model for molecule optimization via one fragment modification	74
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer	73
Designing a strong test for measuring true common-sense reasoning	73
Neural scaling of deep chemical models	73