OOIR: Observatory of International Research

Papers

(The H4-Index of Nature Machine Intelligence is 75. 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 2021-10-01 to 2025-10-01.)

Article	Citations
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	567
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	526
Physical benchmarks for testing algorithms	424
Materiality and risk in the age of pervasive AI sensors	411
A challenge for the law and artificial intelligence	395
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	368
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	355
Artificial intelligence tackles the nature–nurture debate	329
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	274
Discussions of machine versus living intelligence need more clarity	248
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	244
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	241
Towards reproducible robotics research	238
Investigating machine moral judgement through the Delphi experiment	230
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	204
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	202
Human autonomy in the age of artificial intelligence	197
A question of trust for AI research in medicine	195
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning	185
A Global South perspective for ethical algorithms and the State	179
Fast and generalizable micromagnetic simulation with deep neural nets	179
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI	176
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	173
Advancing ethics review practices in AI research	172
Robotic body augmentation	170

Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	169
Quantum circuit optimization with AlphaTensor	164
Maximum diffusion reinforcement learning	162
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	162
Transformer-based protein generation with regularized latent space optimization	152
Next-generation phenotyping of inherited retinal diseases from multimodal imaging with Eye2Gene	148
The curious case of the test set AUROC	142
Bringing artificial intelligence to business management	142
AI pioneers win 2024 Nobel prizes	142
Robust virtual staining of landmark organelles with Cytoland	135
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction	134
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics	126
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	120
What’s the next word in large language models?	117
Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	114
Learning from models beyond fine-tuning	113
How to break information cocoons	113
A new perspective on the simulation of stochastic problems in fluid mechanics with diffusion models	111
Error-controlled non-additive interaction discovery in machine learning models	111
Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling	109
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework	106
Laplace neural operator for solving differential equations	106
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	105
Codon language embeddings provide strong signals for use in protein engineering	105
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin	101
Machine learning prediction of enzyme optimum pH	96
Combinatorial optimization with physics-inspired graph neural networks	94
Collaborative creativity in AI	93
Efficient generation of protein pockets with PocketGen	92
A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments	91
AI reality check	91
Bridging peptide presentation and T cell recognition with multi-task learning	90
Foundation models in healthcare require rethinking reliability	90
A personalized time-resolved 3D mesh generative model for unveiling normal heart dynamics	88
Unifying multi-sample network inference from prior knowledge and omics data with CORNETO	88
What is in your LLM-based framework?	88
The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols	87
Seeking a quantum advantage for machine learning	85
Accurate and robust protein sequence design with CarbonDesign	84
Human–AI adaptive dynamics drives the emergence of information cocoons	83
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators	81
Image-based generation for molecule design with SketchMol	81
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning	81
Designing a strong test for measuring true common-sense reasoning	81
Neural scaling of deep chemical models	80
A deep generative model enables automated structure elucidation of novel psychoactive substances	80
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation	79
Morphological flexibility in robotic systems through physical polygon meshing	78
Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands	77
A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks	75

A deep generative model for molecule optimization via one fragment modification	75
Learning high-level visual representations from a child’s perspective without strong inductive biases	75