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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:

An epidermal sEMG tattoo-like patch as a new human–machine interface for patients with loss of voice
Huicong Liu, Wei Dong, Yunfei Li, et al.
Microsystems & Nanoengineering (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things
Qiongfeng Shi, Bowei Dong, Tianyiyi He, et al.
InfoMat (2020) Vol. 2, Iss. 6, pp. 1131-1162
Open Access | Times Cited: 496
Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin
Zixuan Zhang, Feng Wen, Zhongda Sun, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 7
Open Access | Times Cited: 300
Portable and wearable self-powered systems based on emerging energy harvesting technology
Chen Xu, Yu Song, Mengdi Han, et al.
Microsystems & Nanoengineering (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 293
Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters
Long Liu, Xinge Guo, Chengkuo Lee
Nano Energy (2021) Vol. 88, pp. 106304-106304
Closed Access | Times Cited: 289
Materials, Devices, and Systems of On‐Skin Electrodes for Electrophysiological Monitoring and Human–Machine Interfaces
Hao Wu, Ganguang Yang, Kanhao Zhu, et al.
Advanced Science (2020) Vol. 8, Iss. 2
Open Access | Times Cited: 275
Progress inTENGtechnology—A journey from energy harvesting to nanoenergy and nanosystem
Jianxiong Zhu, Minglu Zhu, Qiongfeng Shi, et al.
EcoMat (2020) Vol. 2, Iss. 4
Open Access | Times Cited: 266
Technology evolution from self-powered sensors to AIoT enabled smart homes
Bowei Dong, Qiongfeng Shi, Yanqin Yang, et al.
Nano Energy (2020) Vol. 79, pp. 105414-105414
Closed Access | Times Cited: 264
Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems
Minglu Zhu, Tianyiyi He, Chengkuo Lee
Applied Physics Reviews (2020) Vol. 7, Iss. 3
Closed Access | Times Cited: 243
Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth
Yanqin Yang, Xinge Guo, Minglu Zhu, et al.
Advanced Energy Materials (2022) Vol. 13, Iss. 1
Closed Access | Times Cited: 217
Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things
Xiaole Cao, Yao Xiong, Jia Sun, et al.
Nano-Micro Letters (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 195
Decoding lip language using triboelectric sensors with deep learning
Yijia Lu, Tian Han, Jia Cheng, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 170
Human body IoT systems based on the triboelectrification effect: energy harvesting, sensing, interfacing and communication
Qin Zhang, Chuanfu Xin, Fan Shen, et al.
Energy & Environmental Science (2022) Vol. 15, Iss. 9, pp. 3688-3721
Closed Access | Times Cited: 169
Fusing Stretchable Sensing Technology with Machine Learning for Human–Machine Interfaces
Ming Wang, Ting Wang, Yifei Luo, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 39
Open Access | Times Cited: 129
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 111
Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses
Tianming Sun, Bin Feng, Jinpeng Huo, et al.
Nano-Micro Letters (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 104
High‐Performance Hydrogel Sensors Enabled Multimodal and Accurate Human–Machine Interaction System for Active Rehabilitation
Hao Wang, Qiongling Ding, Yibing Luo, et al.
Advanced Materials (2023) Vol. 36, Iss. 11
Closed Access | Times Cited: 101
Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform
Chan Wang, Tianyiyi He, Hong Zhou, et al.
Bioelectronic Medicine (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 93
Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces
Taemin Kim, Yejee Shin, Kyowon Kang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 89
Machine Learning-Enhanced Flexible Mechanical Sensing
Yuejiao Wang, Mukhtar Lawan Adam, Yunlong Zhao, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 89
A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for rehabilitation
Hongcheng Xu, Weihao Zheng, Yang Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 88
Mixed-modality speech recognition and interaction using a wearable artificial throat
Qisheng Yang, Weiqiu Jin, Qihang Zhang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 2, pp. 169-180
Closed Access | Times Cited: 82
Advances in flexible sensors for intelligent perception system enhanced by artificial intelligence
Hongsen Niu, Feifei Yin, Eun‐Seong Kim, et al.
InfoMat (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 81
Force-induced ion generation in zwitterionic hydrogels for a sensitive silent-speech sensor
Sijia Xu, Jie-Xiang Yu, Hongshuang Guo, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 76
Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics
Hong Zhou, Liangge Xu, Zhihao Ren, et al.
Nanoscale Advances (2022) Vol. 5, Iss. 3, pp. 538-570
Open Access | Times Cited: 73
Soft Electronics for Health Monitoring Assisted by Machine Learning
Yancong Qiao, Jinan Luo, Tianrui Cui, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 55
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