OOIR: Observatory of International Research

Papers

(The H4-Index of Nature Machine Intelligence is 80. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	641
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	627
Physical benchmarks for testing algorithms	550
A challenge for the law and artificial intelligence	476
Towards reproducible robotics research	446
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	436
Artificial intelligence tackles the nature–nurture debate	394
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	354
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	329
Investigating machine moral judgement through the Delphi experiment	329
Discussions of machine versus living intelligence need more clarity	297
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	286
Human autonomy in the age of artificial intelligence	260
Materiality and risk in the age of pervasive AI sensors	241
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	239
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	225
Tailored structured peptide design with a key-cutting machine approach	205
A question of trust for AI research in medicine	201
AI pioneers win 2024 Nobel prizes	201
Robust virtual staining of landmark organelles with Cytoland	200
Fast and generalizable micromagnetic simulation with deep neural nets	200
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI	195
The curious case of the test set AUROC	185
Next-generation phenotyping of inherited retinal diseases from multimodal imaging with Eye2Gene	179
Are neural network representations universal or idiosyncratic?	176

Transformer-based protein generation with regularized latent space optimization	170
Pseudodata-based molecular structure generator to reveal unknown chemicals	161
Large language models still struggle with false beliefs	161
A Global South perspective for ethical algorithms and the State	160
Maximum diffusion reinforcement learning	159
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	148
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	144
Advancing ethics review practices in AI research	141
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics	136
Bringing artificial intelligence to business management	133
Quantum circuit optimization with AlphaTensor	126
Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	123
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	123
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning	122
Inferring spatial single-cell-level interactions through interpreting cell state and niche correlations learned by self-supervised graph transformer	122
How to break information cocoons	121
A new perspective on the simulation of stochastic problems in fluid mechanics with diffusion models	121
Error-controlled non-additive interaction discovery in machine learning models	118
Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	115
What’s the next word in large language models?	114
Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling	113
Machine learning prediction of enzyme optimum pH	110
Laplace neural operator for solving differential equations	109
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin	108
Codon language embeddings provide strong signals for use in protein engineering	108
Combinatorial optimization with physics-inspired graph neural networks	107
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	102
Learning from models beyond fine-tuning	101
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework	101
What is in your LLM-based framework?	100
Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands	100
AI reality check	100
Foundation models in healthcare require rethinking reliability	99
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators	98
Seeking a quantum advantage for machine learning	96
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning	94
Deciphering RNA–ligand binding specificity with GerNA-Bind	93
Designing a strong test for measuring true common-sense reasoning	92
Collaborative creativity in AI	90
Efficient generation of protein pockets with PocketGen	90
Learning high-level visual representations from a child’s perspective without strong inductive biases	89
Unifying multi-sample network inference from prior knowledge and omics data with CORNETO	89
Autoregressive neural-network wavefunctions for ab initio quantum chemistry	89
Bridging peptide presentation and T cell recognition with multi-task learning	89
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer	88
Neural scaling of deep chemical models	86
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation	85
Image-based generation for molecule design with SketchMol	85
Morphological flexibility in robotic systems through physical polygon meshing	85
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning	83

Accurate and robust protein sequence design with CarbonDesign	83
Multimodal learning with graphs	81
The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols	81
A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks	80
Human–AI adaptive dynamics drives the emergence of information cocoons	80
Tandem mass spectrum prediction for small molecules using graph transformers	80