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:

A Human–Computer Interaction framework for emotion recognition through time-series thermal video sequences
Satyajit Nayak, B S Nagesh, Aurobinda Routray, et al.
Computers & Electrical Engineering (2021) Vol. 93, pp. 107280-107280
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Deep Learning for Intelligent Human–Computer Interaction
Zhihan Lv, Fabio Poiesi, Qi Dong, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11457-11457
Open Access | Times Cited: 71

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: 61

Transformer for Skeleton-based action recognition: A review of recent advances
Wentian Xin, Ruyi Liu, Yi Liu, et al.
Neurocomputing (2023) Vol. 537, pp. 164-186
Closed Access | Times Cited: 47

Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Sze Chit Leong, Yuk Ming Tang, Chung Hin Lai, et al.
Computer Science Review (2023) Vol. 48, pp. 100545-100545
Closed Access | Times Cited: 44

A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context
Yurui Xu, Hang Su, Guijin Ma, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 951-963
Open Access | Times Cited: 49

Interacting with medical artificial intelligence: Integrating self-responsibility attribution, human–computer trust, and personality
Weiwei Huo, Guanghui Zheng, Jiaqi Yan, et al.
Computers in Human Behavior (2022) Vol. 132, pp. 107253-107253
Closed Access | Times Cited: 46

Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network
Mohammed Alonazi, Hira Ansar, Naif Al Mudawi, et al.
IEEE Access (2023) Vol. 11, pp. 84922-84933
Open Access | Times Cited: 29

Eye Tracking, Usability, and User Experience: A Systematic Review
Jakub Štěpán Novák, Jan Masner, Petr Benda, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 17, pp. 4484-4500
Open Access | Times Cited: 28

Mobilenetv3: a deep learning technique for human face expressions identification
S. Babu Rajendra Prasad, B. Sai Chandana
International Journal of Information Technology (2023) Vol. 15, Iss. 6, pp. 3229-3243
Closed Access | Times Cited: 25

TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
Zhi Zhang, Sheng-hua Zhong, Yan Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123550-123550
Closed Access | Times Cited: 9

Sensors and Artificial Intelligence Methods and Algorithms for Human–Computer Intelligent Interaction: A Systematic Mapping Study
Boštjan Šumak, Saša Brdnik, Maja Pušnik
Sensors (2021) Vol. 22, Iss. 1, pp. 20-20
Open Access | Times Cited: 36

Energy Efficient Graph-Based Hybrid Learning for Speech Emotion Recognition on Humanoid Robot
Haowen Wu, Hanyue Xu, Kah Phooi Seng, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1151-1151
Open Access | Times Cited: 4

Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis
D. Roja Ramani, Naveen Chandra Gowda, S. Sreejith, et al.
(2025), pp. 201-223
Closed Access

Emotional Blink Patterns: A Possible Biomarker for Anxiety Detection in a HCI Framework
Niva Das, Laxmipriya Moharana, Satyajit Nayak, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access

Video Emotion Recognition Using 3D-Convolutional Neural Network
Harsh Sharma, Arun Kumar Yadav, Mohit Kumar
Lecture notes in networks and systems (2025), pp. 203-214
Closed Access

Deep multimodal learning for time series analysis in social computing: a survey
Chao Yang, Yakun Chen, Zihao Li, et al.
International Journal of Multimedia Information Retrieval (2025) Vol. 14, Iss. 2
Closed Access

A Novel Optimized Recurrent Network-Based Automatic System for Speech Emotion Identification
Neeraja Koppula, Koppula Srinivas Rao, Shaik Abdul Nabi, et al.
Wireless Personal Communications (2022) Vol. 128, Iss. 3, pp. 2217-2243
Closed Access | Times Cited: 18

Emotion Detection Using Machine Learning: An Analytical Review
Ashadu Jaman Shawon, Anika Tabassum, Rifath Mahmud
Malaysian Journal of Science and Advanced Technology (2024), pp. 32-43
Open Access | Times Cited: 3

Speech based emotion recognition by using a faster region-based convolutional neural network
Chappidi Suneetha, Raju Anitha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3

Monitoring the crowd emotion using valence and arousal of crowd based on prominent features of crowd
Manojkumar Kothandapani, L. Helen
Signal Image and Video Processing (2025) Vol. 19, Iss. 7
Closed Access

GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks
Shutong Wang, Anran Zhao, Chenghang Lai, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101605-101605
Open Access | Times Cited: 8

A lifelong framework for data quality monitoring of roadside sensors in cooperative vehicle-infrastructure systems
Yuchuan Du, Yupeng Shi, Cong Zhao, et al.
Computers & Electrical Engineering (2022) Vol. 100, pp. 108030-108030
Closed Access | Times Cited: 12

Analyzing the packaging design evaluation based on image emotion perception computing
Shang kui Yang, Won Jun Chung, Fan Yang
Heliyon (2024) Vol. 10, Iss. 10, pp. e31408-e31408
Open Access | Times Cited: 2

Long-Term Person Tracking for Unmanned Aerial Vehicle Based on Human-Machine Collaboration
Tongtong Zhou, Yadong Liu
IEEE Access (2021) Vol. 9, pp. 161181-161193
Open Access | Times Cited: 13

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