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:

Hybrid affective computing—keyboard, mouse and touch screen: from review to experiment
Kaveh Bakhtiyari, Mona Taghavi, Hafizah Husain
Neural Computing and Applications (2014) Vol. 26, Iss. 6, pp. 1277-1296
Closed Access | Times Cited: 24

Showing 24 citing articles:

Analytical mapping of opinion mining and sentiment analysis research during 2000–2015
Rajesh Piryani, D. Madhavi, Vivek Kumar Singh
Information Processing & Management (2016) Vol. 53, Iss. 1, pp. 122-150
Closed Access | Times Cited: 185

Student behavior analysis to measure engagement levels in online learning environments
Khawlah Altuwairqi, Salma Kammoun Jarraya, Arwa Allinjawi, et al.
Signal Image and Video Processing (2021) Vol. 15, Iss. 7, pp. 1387-1395
Open Access | Times Cited: 50

Recent developments in affective recommender systems
Rahul Katarya, Om Prakash Verma
Physica A Statistical Mechanics and its Applications (2016) Vol. 461, pp. 182-190
Closed Access | Times Cited: 55

Review of Capacitive Touchscreen Technologies: Overview, Research Trends, and Machine Learning Approaches
Hyoungsik Nam, Ki‐Hyuk Seol, Jun‐Hee Lee, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4776-4776
Open Access | Times Cited: 39

A Review of Emotion Recognition Methods From Keystroke, Mouse, and Touchscreen Dynamics
Liying Yang, Shengfeng Qin
IEEE Access (2021) Vol. 9, pp. 162197-162213
Open Access | Times Cited: 27

A new emotion–based affective model to detect student’s engagement
Khawlah Altuwairqi, Salma Kammoun Jarraya, Arwa Allinjawi, et al.
Journal of King Saud University - Computer and Information Sciences (2018) Vol. 33, Iss. 1, pp. 99-109
Open Access | Times Cited: 37

A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios
Sergio Salmerón-Majadas, Ryan S. Baker, Olga C. Santos, et al.
IEEE Access (2018) Vol. 6, pp. 39154-39179
Open Access | Times Cited: 31

Does Keystroke Dynamics tell us about Emotions? A Systematic Literature Review and Dataset Construction
Aicha Maalej, Ilhem Kallel
(2020), pp. 60-67
Closed Access | Times Cited: 21

New Insights Towards Developing Recommender Systems
Mona Taghavi, Jamal Bentahar, Kaveh Bakhtiyari, et al.
The Computer Journal (2017) Vol. 61, Iss. 3, pp. 319-348
Open Access | Times Cited: 18

A Review of Affective Computing Research Based on Function-Component-Representation Framework
Haiwei Ma, Svetlana Yarosh
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 2, pp. 1655-1674
Closed Access | Times Cited: 11

Ultrasound image assisted diagnosis of hydronephrosis based on CNN neural network
J. Su, Liu Y, Junmei Wang
Journal of King Saud University - Science (2020) Vol. 32, Iss. 6, pp. 2682-2687
Open Access | Times Cited: 10

A note on the affective computing systems and machines: a classification and appraisal
Paweł Weichbroth, Wiktor Dariusz Sroka
Procedia Computer Science (2022) Vol. 207, pp. 3798-3807
Open Access | Times Cited: 6

CNN-Based Face Emotion Detection and Mouse Movement Analysis to Detect Student’s Engagement Level
Allinjawi Arwa, Altuwairqi Khawlah, Kammoun Jarraya Salma, et al.
Lecture notes in networks and systems (2023), pp. 604-626
Closed Access | Times Cited: 2

Design of a team emotion forecast tool for bettering individual emotional well-being and team performance
Liying Yang, Qin Sheng-feng, Ziwen Zhu, et al.
Procedia CIRP (2023) Vol. 119, pp. 309-314
Open Access | Times Cited: 2

Human vs. Automated Text Analysis
Kathryn Schaefer Ziemer, Gizem Korkmaz
(2016), pp. 309-314
Closed Access | Times Cited: 5

Special issue on affective design using big data
Kit Yan Chan, T.C. Wong, C.K. Kwong
Journal of Engineering Design (2018) Vol. 29, Iss. 7, pp. 353-357
Open Access | Times Cited: 4

Ambiance Signal Processing: A Study on Collaborative Affective Computing
Kaveh Bakhtiyari, Mona Taghavi, Milad Taghavi, et al.
(2019), pp. 35-40
Closed Access | Times Cited: 3

An Unobtrusive Approach to Emotion Detection in E-Learning Systems
Fareeha Rasheed, Abdul Wahid
The Computer Journal (2022) Vol. 66, Iss. 8, pp. 1840-1855
Closed Access | Times Cited: 2

Investigating Keystroke Dynamics and Their Relevance for Real-Time Emotion Recognition
Aicha Maalej, Ilhem Kallel, Javier Jesus Sanchez Medina
SSRN Electronic Journal (2022)
Open Access | Times Cited: 2

The Effect of Presentation in Online Advertising on Perceived Intrusiveness and Annoyance in Different Emotional States
Kaveh Bakhtiyari, Jürgen Ziegler, Hafizah Husain
Lecture notes in computer science (2017), pp. 140-149
Closed Access | Times Cited: 1

A Comprehensive Analysis of Keystroke Recognition System
L. Agilandeeswari, V. Ragul, S. Syed Mohammed Nihal, et al.
Advances in intelligent systems and computing (2021), pp. 1074-1083
Closed Access | Times Cited: 1

Do we have privacy in digital world
Kaveh Bakhtiyari
arXiv (Cornell University) (2016)
Closed Access

Do we have privacy in the digital world?
Kaveh Bakhtiyari
arXiv (Cornell University) (2016)
Open Access

Microhemodynamic Parameters of Cortical Substance of Kidneys at Experimental Hydronephrosis
Bakhtiyar Iriskulov
Indian Journal of Forensic Medicine & Toxicology (2020)
Open Access

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