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:

Errors, Biases and Overconfidence in Artificial Emotional Modeling
Valentina Franzoni, Jordi Vallverdú, Alfredo Milani
(2019), pp. 86-90
Closed Access | Times Cited: 18

Showing 18 citing articles:

Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion
Baijun Xie, Mariia Sidulova, Chung Hyuk Park
Sensors (2021) Vol. 21, Iss. 14, pp. 4913-4913
Open Access | Times Cited: 68

Facial Emotion Recognition Using Hybrid Features
Abdulrahman Alreshidi, Mohib Ullah
Informatics (2020) Vol. 7, Iss. 1, pp. 6-6
Open Access | Times Cited: 61

Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence
Achini Adikari, Rashmika Nawaratne, Daswin De Silva, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e27341-e27341
Open Access | Times Cited: 54

From Black Box to Glass Box: Advancing Transparency in Artificial Intelligence Systems for Ethical and Trustworthy AI
Valentina Franzoni
Lecture notes in computer science (2023), pp. 118-130
Closed Access | Times Cited: 21

The unbearable (technical) unreliability of automated facial emotion recognition
Federico Cabitza, Andrea Campagner, Martina Mattioli
Big Data & Society (2022) Vol. 9, Iss. 2
Open Access | Times Cited: 28

Harnessing human and machine intelligence for planetary-level climate action
Ramit Debnath, Felix Creutzig, Benjamin K. Sovacool, et al.
npj Climate Action (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 15

Enhancing Mouth-Based Emotion Recognition Using Transfer Learning
Valentina Franzoni, Giulio Biondi, Damiano Perri, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5222-5222
Open Access | Times Cited: 26

A Review on Artificial Intelligence in Orthopaedics
Taezeen Hamid, Megha Chhabra, Kiran Kumar Ravulakollu, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 365-369
Closed Access | Times Cited: 13

Ethical Boundaries in AI-Generated Imagery: Analysis of Controversial Content Constraints
Emanuele Florindi, Valentina Franzoni, Alfredo Milani
Lecture notes in computer science (2024), pp. 292-302
Closed Access | Times Cited: 2

A Preliminary Work on Dog Emotion Recognition
Valentina Franzoni, Alfredo Milani, Giulio Biondi, et al.
(2019), pp. 91-96
Closed Access | Times Cited: 19

The Recognition of Cross-Cultural Emotional Faces Is Affected by Intensity and Ethnicity in a Japanese Sample
Andrea Bonassi, Tommaso Ghilardi, Giulio Gabrieli, et al.
Behavioral Sciences (2021) Vol. 11, Iss. 5, pp. 59-59
Open Access | Times Cited: 14

Enhancing Mouth-based Emotion Recognition using Transfer Learning
Valentina Franzoni, Giulio Biondi, Damiano Perri, et al.
(2020)
Open Access | Times Cited: 13

Advanced techniques for automated emotion recognition in dogs from video data through deep learning
Valentina Franzoni, Giulio Biondi, Alfredo Milani
Neural Computing and Applications (2024) Vol. 36, Iss. 28, pp. 17669-17688
Open Access | Times Cited: 1

Künstliche Intelligenz (KI) – unser bester Freund?
Peter Rötzel
Springer eBooks (2024), pp. 17-31
Closed Access

Exploring Negative Emotions to Preserve Social Distance in a Pandemic Emergency
Valentina Franzoni, Giulio Biondi, Alfredo Milani
Lecture notes in computer science (2020), pp. 562-573
Closed Access | Times Cited: 3

Biases in Assigning Emotions in Patients Due to Multicultural Issues
David Casacuberta, Jordi Vallverdú
Intelligent systems reference library (2021), pp. 215-228
Closed Access | Times Cited: 3

Recognizing and Predicting Neonatal Pain in Preterm Intensive Care Unit: a Study Protocol
Valentina Franzoni, Daniele Mezzetti
(2022), pp. 680-682
Closed Access | Times Cited: 1

Ubiquitous Technologies for Emotion Recognition
Oresti Baños, Luís A. Castro, Claudia Villalonga
MDPI eBooks (2021)
Open Access

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