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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks
Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, et al.
IEEE Transactions on Computers (2020), pp. 1-1
Closed Access | Times Cited: 22

Showing 22 citing articles:

What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
Qiao Lan, Dingzhu Wen, Zezhong Zhang, et al.
Journal of Communications and Information Networks (2021) Vol. 6, Iss. 4, pp. 336-371
Open Access | Times Cited: 138
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-30
Open Access | Times Cited: 135
Intelligent Productivity Transformation
Bojing Liu, Mengxiang Li, Zihui Ji, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-27
Open Access | Times Cited: 17
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
Xin Dong, B. De Salvo, Meng Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 12549-12559
Open Access | Times Cited: 13
Ultra-compact binary neural networks for human activity recognition on RISC-V processors
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, et al.
(2021)
Open Access | Times Cited: 16
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
Ali Hojjat, Janek Haberer, Tayyaba Zainab, et al.
(2024)
Open Access | Times Cited: 1
Ginver: Generative Model Inversion Attacks Against Collaborative Inference
Yupeng Yin, Xianglong Zhang, Huanle Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 2122-2131
Closed Access | Times Cited: 4
An LSTM-based model for the compression of acoustic inventories for corpus-based text-to-speech synthesis systems
Matej Rojc, Izidor Mlakar
Computers & Electrical Engineering (2022) Vol. 100, pp. 107942-107942
Open Access | Times Cited: 6
QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services
Kaihua Fu, Jiuchen Shi, Quan Chen, et al.
(2022)
Closed Access | Times Cited: 5
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
Francesco Daghero, Alessio Burrello, Chen Xie, et al.
(2021), pp. 1-6
Open Access | Times Cited: 6
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation
Alessio Burrello, Matteo Risso, Noemi Tomasello, et al.
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2023), pp. 1-6
Open Access | Times Cited: 2
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, et al.
(2023), pp. 1-6
Open Access | Times Cited: 2
DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks
Wilfredo Joshua Robinson Moore, Flavio Esposito, María A. Zuluaga
(2022), pp. 17-24
Closed Access | Times Cited: 3
MoEI: Mobility-Aware Edge Inference Based on Model Partition and Service Migration
Zhicheng Liu, Meng Tian, Mianxiong Dong, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 9437-9450
Closed Access
DISCO: Distributed Inference with Sparse Communications
Minghai Qin, Chao Sun, Jaco Hofmann, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2421-2429
Open Access
An Energy-Efficient Method for Recurrent Neural Network Inference in Edge Cloud Computing
Chao Chen, Weiyu Guo, Zheng Wang, et al.
Symmetry (2022) Vol. 14, Iss. 12, pp. 2524-2524
Open Access | Times Cited: 2
MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence
Luhui Wang, Xuebin Ren, Cong Zhao, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8773-8785
Closed Access | Times Cited: 2
A Fuzzy Logic based Offloading System for Distributed Deep Learning in Wireless Sensor Networks
Nadir Zenasni, Carol Habib, Jad Nassar
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 1
Accessible Distributed Hydrological Surveillance and Computing System with Integrated End-Edge-Cloud Architecture
Guorun Yao, Chen Chen, Cong Li, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 789-794
Closed Access
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
Francesco Daghero, Alessio Burrello, Chen Xie, et al.
IFIP advances in information and communication technology (2022), pp. 25-47
Closed Access
C-NMT: A Collaborative Inference Framework for Neural Machine Translation
Yukai Chen, Roberta Chiaro, Enrico Maciiy, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2022), pp. 1512-1516
Open Access
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Xin Dong, Hongxu Yin, Jose M. Álvarez, et al.
arXiv (Cornell University) (2021)
Closed Access
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