OOIR: Observatory of International Research

Papers

(The H4-Index of Nature Machine Intelligence is 71. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Materiality and risk in the age of pervasive AI sensors	425
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	332
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	325
Artificial intelligence tackles the nature–nurture debate	313
Wiring up recurrent neural networks	305
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	280
Physical benchmarks for testing algorithms	276
Investigating machine moral judgement through the Delphi experiment	272
A challenge for the law and artificial intelligence	268
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	245
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	198
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	185
Human autonomy in the age of artificial intelligence	184
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	181
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	172
Discussions of machine versus living intelligence need more clarity	170
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	165
Robotic body augmentation	164
Fast and generalizable micromagnetic simulation with deep neural nets	156
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI	151
A question of trust for AI research in medicine	151
A Global South perspective for ethical algorithms and the State	148
Quantum circuit optimization with AlphaTensor	148
Transformer-based protein generation with regularized latent space optimization	145
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction	144

Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	144
AI pioneers win 2024 Nobel prizes	141
Reusability report: Learning the language of synthetic methods used in medicinal chemistry	136
The curious case of the test set AUROC	134
Sparsity provides a competitive advantage	134
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	134
Advancing ethics review practices in AI research	132
Maximum diffusion reinforcement learning	131
Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	130
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	127
Bringing artificial intelligence to business management	120
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics	120
End-to-end privacy preserving deep learning on multi-institutional medical imaging	120
Learning function from structure in neuromorphic networks	118
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning	118
What’s the next word in large language models?	117
Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	116
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	111
Combinatorial optimization with physics-inspired graph neural networks	109
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin	106
Learning from models beyond fine-tuning	103
A human in the loop in surgery automation	102
Machine learning prediction of enzyme optimum pH	97
How to break information cocoons	94
Codon language embeddings provide strong signals for use in protein engineering	91
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework	88
Laplace neural operator for solving differential equations	88
AI reality check	86
Bridging peptide presentation and T cell recognition with multi-task learning	86
Collaborative creativity in AI	86
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators	84
Image-based generation for molecule design with SketchMol	84
Foundation models in healthcare require rethinking reliability	82
The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols	82
Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands	81
Learning high-level visual representations from a child’s perspective without strong inductive biases	80
Designing a strong test for measuring true common-sense reasoning	80
A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments	78
What is in your LLM-based framework?	77
Accurate and robust protein sequence design with CarbonDesign	77
Autoregressive neural-network wavefunctions for ab initio quantum chemistry	76
Fitting elephants in modern machine learning by statistically consistent interpolation	75
Seeking a quantum advantage for machine learning	75
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning	74
Neural scaling of deep chemical models	72
Morphological flexibility in robotic systems through physical polygon meshing	72