OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Human emotion recognition using deep belief network architecture
Mohammad Mehedi Hassan, Md. Golam Rabiul Alam, Md. Zia Uddin, et al.
Information Fusion (2018) Vol. 51, pp. 10-18
Closed Access | Times Cited: 272

Showing 1-25 of 272 citing articles:

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Jianhua Zhang, Zhong Yin, Peng Chen, et al.
Information Fusion (2020) Vol. 59, pp. 103-126
Open Access | Times Cited: 559

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Sen Qiu, Hongkai Zhao, Nan Jiang, et al.
Information Fusion (2021) Vol. 80, pp. 241-265
Closed Access | Times Cited: 439

Feature dimensionality reduction: a review
Weikuan Jia, Meili Sun, Jian Lian, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2663-2693
Open Access | Times Cited: 411

A systematic review on affective computing: emotion models, databases, and recent advances
Yan Wang, Wei Song, Wei Tao, et al.
Information Fusion (2022) Vol. 83-84, pp. 19-52
Open Access | Times Cited: 290

A survey on deep learning in medicine: Why, how and when?
Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, et al.
Information Fusion (2020) Vol. 66, pp. 111-137
Closed Access | Times Cited: 287

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
Muhammad Muzammal, Romana Talat, Ali Hassan Sodhro, et al.
Information Fusion (2019) Vol. 53, pp. 155-164
Closed Access | Times Cited: 263

Feature-level fusion approaches based on multimodal EEG data for depression recognition
Hanshu Cai, Zhidiao Qu, Zhe Li, et al.
Information Fusion (2020) Vol. 59, pp. 127-138
Closed Access | Times Cited: 238

A Comprehensive Review of Speech Emotion Recognition Systems
Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, et al.
IEEE Access (2021) Vol. 9, pp. 47795-47814
Open Access | Times Cited: 193

A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data
Najmeh Samadiani, Guangyan Huang, Borui Cai, et al.
Sensors (2019) Vol. 19, Iss. 8, pp. 1863-1863
Open Access | Times Cited: 173

Wearable-Based Affect Recognition—A Review
Philip Schmidt, Attila Reiss, Robert Dürichen, et al.
Sensors (2019) Vol. 19, Iss. 19, pp. 4079-4079
Open Access | Times Cited: 172

A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
Md. Zia Uddin, Mohammed Mehedi Hassan, Ahmed Alsanad, et al.
Information Fusion (2019) Vol. 55, pp. 105-115
Closed Access | Times Cited: 170

A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition
Yingying Jiang, Wei Li, M. Shamim Hossain, et al.
Information Fusion (2019) Vol. 53, pp. 209-221
Closed Access | Times Cited: 165

A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention
Haoxi Zhang, Zhiwen Xiao, Juan Wang, et al.
IEEE Internet of Things Journal (2019) Vol. 7, Iss. 2, pp. 1072-1080
Closed Access | Times Cited: 162

Complex networks and deep learning for EEG signal analysis
Zhongke Gao, Weidong Dang, Xinmin Wang, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 3, pp. 369-388
Open Access | Times Cited: 155

Domain adaptive deep belief network for rolling bearing fault diagnosis
Changchang Che, Huawei Wang, Xiaomei Ni, et al.
Computers & Industrial Engineering (2020) Vol. 143, pp. 106427-106427
Closed Access | Times Cited: 145

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier
Abdülhamit Subaşı, Türker Tuncer, Şengül Doğan, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102648-102648
Open Access | Times Cited: 130

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, et al.
IEEE Access (2021) Vol. 9, pp. 94601-94624
Open Access | Times Cited: 130

Deep learning for prediction of depressive symptoms in a large textual dataset
Md. Zia Uddin, Kim Kristoffer Dysthe, Asbjørn Følstad, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 721-744
Open Access | Times Cited: 113

The Ethics of Emotion in Artificial Intelligence Systems
Luke Stark, Jesse Hoey
(2021), pp. 782-793
Open Access | Times Cited: 103

A systematic survey on multimodal emotion recognition using learning algorithms
Naveed Ahmed, Zaher Al Aghbari, Shini Girija
Intelligent Systems with Applications (2023) Vol. 17, pp. 200171-200171
Open Access | Times Cited: 93

Virtual Reality for Emotion Elicitation – A Review
Rukshani Somarathna, Tomasz Bednarz, Gelareh Mohammadi
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 4, pp. 2626-2645
Open Access | Times Cited: 78

Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review
Yujian Cai, Xingguang Li, Jinsong Li
Sensors (2023) Vol. 23, Iss. 5, pp. 2455-2455
Open Access | Times Cited: 58

Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions
Geetha Vijayaraghavan, T. Mala, Das P, et al.
Information Fusion (2023) Vol. 105, pp. 102218-102218
Closed Access | Times Cited: 53

A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Raveendrababu Vempati, Lakhan Dev Sharma
Results in Engineering (2023) Vol. 18, pp. 101027-101027
Open Access | Times Cited: 44

A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data
Abdu Gumaei, Mohammad Mehedi Hassan, Abdulhameed Alelaiwi, et al.
IEEE Access (2019) Vol. 7, pp. 99152-99160
Open Access | Times Cited: 123

Page 1 - Next Page

Scroll to top