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Nature Machine Intelligence
JournalCitation impact & published research
Nature Machine Intelligence is a journal indexed in ScholarIQ from OpenAlex.
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The OpenAlex for Nature Machine Intelligence is on the source record.
What are the most-cited papers on Nature Machine Intelligence?
ScholarIQmost cited works
From local explanations to global understanding with explainable AI for trees
Scott Lundberg, Gabriel Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala G. Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su‐In Lee
An interpretable mortality prediction model for COVID-19 patients
Yan Li, Hai-Tao Zhang, Jorge Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez‐Boussard, Andrew J. Gentles, Olivier Gevaert
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn M. Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah Khalil, Shohreh Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang
A soft thumb-sized vision-based sensor with accurate all-round force perception
Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius