OOIR: Observatory of International Research

Papers

(The H4-Index of Nature Machine Intelligence is 68. 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 2021-02-01 to 2025-02-01.)

Article	Citations
A new regulatory framework for algorithm-powered recommendation services in China	1018
Visual cognition in multimodal large language models	691
Towards highly sensitive deep learning-based end-to-end database search for tandem mass spectrometry	392
Investigating machine moral judgement through the Delphi experiment	328
Resource-efficient inference for particle physics	294
AI on the beach	294
A generalizable deep learning framework for inferring fine-scale germline mutation rate maps	240
Molecular contrastive learning of representations via graph neural networks	226
Quantum circuit synthesis with diffusion models	225
A cautionary tale about the adoption of medical AI in Sweden	224
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases	197
Safe driving cars	190
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	189
A challenge for the law and artificial intelligence	184
Many-body control with reinforcement learning and tensor networks	162
A year of racing ahead with AI and not breaking things	162
Adversarial competition and collusion in algorithmic markets	154
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	151
Transferring policy of deep reinforcement learning from simulation to reality for robotics	135
AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy	134
Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model	134
Improving Wikipedia verifiability with AI	124
Playing with symmetry with neural networks	123
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning	120
Listening in to perceived speech with contrastive learning	120

The incentive gap in data work in the era of large models	119
Learning equilibria in symmetric auction games using artificial neural networks	119
When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations	118
Asymmetric predictive relationships across histone modifications	118
Prediction of robust scientific facts from literature	114
Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation	113
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology	113
Deep reinforcement learning-designed radiofrequency waveform in MRI	112
Variational neural annealing	110
Human autonomy in the age of artificial intelligence	108
Meta-learning for T cell receptor binding specificity and beyond	107
The democratization of global AI governance and the role of tech companies	106
Ethical hazards of health data governance in the metaverse	104
A teachable moment for dual-use	100
High-resolution real-space reconstruction of cryo-EM structures using a neural field network	100
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions	100
Cognitive maps from predictive vision	100
Physical human–robot interaction for clinical care in infectious environments	97
Artificial intelligence tackles the nature–nurture debate	95
Connecting molecular properties with plain language	95
Machine learning for practical quantum error mitigation	94
Discussions of machine versus living intelligence need more clarity	92
Deep learning for predicting rate-induced tipping	92
Reply to: Limitations in odour recognition and generalization in a neuromorphic olfactory circuit	91
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors	90
Machine learning and computation-enabled intelligent sensor design	90
Radiological tumour classification across imaging modality and histology	89
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI	89
Real-world embodied AI through a morphologically adaptive quadruped robot	87
Intelligent problem-solving as integrated hierarchical reinforcement learning	86
Wiring up recurrent neural networks	85
Multiscale simulations of complex systems by learning their effective dynamics	84
Engineering flexible machine learning systems by traversing functionally invariant paths	81
A computational framework for neural network-based variational Monte Carlo with Forward Laplacian	81
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	79
Pick your AI poison	79
Pre-training with fractional denoising to enhance molecular property prediction	79
Machine learning-enabled globally guaranteed evolutionary computation	76
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion	75
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	70
Three types of incremental learning	68
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	68
A critical problem in benchmarking and analysis of evolutionary computation methods	68