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Journals
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Nature Machine Intelligence
›
top-articles
Nature Machine Intelligence
20.5
(top 1%)
impact factor
463
(top 50%)
papers
27.8K
(top 10%)
citations
78
(top 10%)
h
-index
22.3
(top 1%)
impact factor
829
all documents
33.0K
doc citations
149
(top 5%)
g
-index
Top Articles
#
Title
Journal
Year
Citations
1
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Nature Machine Intelligence
2019
3,231
2
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence
2020
2,869
3
The global landscape of AI ethics guidelines
Nature Machine Intelligence
2019
1,575
4
An interpretable mortality prediction model for COVID-19 patients
Nature Machine Intelligence
2020
686
5
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Nature Machine Intelligence
2021
607
6
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Nature Machine Intelligence
2021
589
7
Shortcut learning in deep neural networks
Nature Machine Intelligence
2020
578
8
Secure, privacy-preserving and federated machine learning in medical imaging
Nature Machine Intelligence
2020
473
9
Principles alone cannot guarantee ethical AI
Nature Machine Intelligence
2019
470
10
Drug discovery with explainable artificial intelligence
Nature Machine Intelligence
2020
411
11
Designing neural networks through neuroevolution
Nature Machine Intelligence
2019
406
12
Predicting the state of charge and health of batteries using data-driven machine learning
Nature Machine Intelligence
2020
338
13
Long short-term memory networks in memristor crossbar arrays
Nature Machine Intelligence
2019
288
14
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Nature Machine Intelligence
2019
256
15
Deep learning for tomographic image reconstruction
Nature Machine Intelligence
2020
233
16
The need for uncertainty quantification in machine-assisted medical decision making
Nature Machine Intelligence
2019
231
17
AI for radiographic COVID-19 detection selects shortcuts over signal
Nature Machine Intelligence
2021
230
18
Machine learning pipeline for battery state-of-health estimation
Nature Machine Intelligence
2021
227
19
An open source machine learning framework for efficient and transparent systematic reviews
Nature Machine Intelligence
2021
217
20
In situ training of feed-forward and recurrent convolutional memristor networks
Nature Machine Intelligence
2019
201
21
Clustering single-cell RNA-seq data with a model-based deep learning approach
Nature Machine Intelligence
2019
189
22
Reconstructing quantum states with generative models
Nature Machine Intelligence
2019
181
23
Molecular contrastive learning of representations via graph neural networks
Nature Machine Intelligence
2022
181
24
Deep-learning cardiac motion analysis for human survival prediction
Nature Machine Intelligence
2019
179
25
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Nature Machine Intelligence
2019
178
26
Establishing the rules for building trustworthy AI
Nature Machine Intelligence
2019
177
27
Inverse design of nanoporous crystalline reticular materials with deep generative models
Nature Machine Intelligence
2021
172
28
Expanding functional protein sequence spaces using generative adversarial networks
Nature Machine Intelligence
2021
165
29
Finding key players in complex networks through deep reinforcement learning
Nature Machine Intelligence
2020
165
30
Machine learning for active matter
Nature Machine Intelligence
2020
164
31
Ensemble deep learning in bioinformatics
Nature Machine Intelligence
2020
162
32
Reinforcement learning in artificial and biological systems
Nature Machine Intelligence
2019
157
33
End-to-end privacy preserving deep learning on multi-institutional medical imaging
Nature Machine Intelligence
2021
157
34
Geometry-enhanced molecular representation learning for property prediction
Nature Machine Intelligence
2022
155
35
Predicting drug–protein interaction using quasi-visual question answering system
Nature Machine Intelligence
2020
154
36
Improved protein structure prediction by deep learning irrespective of co-evolution information
Nature Machine Intelligence
2021
153
37
Deep learning optoacoustic tomography with sparse data
Nature Machine Intelligence
2019
148
38
The carbon impact of artificial intelligence
Nature Machine Intelligence
2020
148
39
Causal inference and counterfactual prediction in machine learning for actionable healthcare
Nature Machine Intelligence
2020
147
40
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks
Nature Machine Intelligence
2020
124
41
Concept whitening for interpretable image recognition
Nature Machine Intelligence
2020
123
42
Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks
Nature Machine Intelligence
2019
122
43
Mapping the space of chemical reactions using attention-based neural networks
Nature Machine Intelligence
2021
121
44
Continual learning of context-dependent processing in neural networks
Nature Machine Intelligence
2019
119
45
Hopes and fears for intelligent machines in fiction and reality
Nature Machine Intelligence
2019
115
46
Feedback GAN for DNA optimizes protein functions
Nature Machine Intelligence
2019
114
47
Enabling the future of colonoscopy with intelligent and autonomous magnetic manipulation
Nature Machine Intelligence
2020
113
48
A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation
Nature Machine Intelligence
2020
112
49
Learning with known operators reduces maximum error bounds
Nature Machine Intelligence
2019
111
50
Generative molecular design in low data regimes
Nature Machine Intelligence
2020
111
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