The DOI matches its Crossref record; 33 of the 35 references it cites were found in a registry or an index.
Automatic coding of facial expressions displayed during posed and genuine pain
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Citations
Cites
Robust Real-Time Face Detection
Viola, P., & Jones, M. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000013087.49260.fb · Cited by 14,097
Comprehensive database for facial expression analysis
Takeo Kanade, A., Cohn, J. F., & Tian, Y. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840611 · Cited by 2,644
Ekman, P., & Rosenberg, E. L. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179644.001.0001 · Cited by 1,971
Accuracy of Deception Judgments
Bond, C. F., & DePaulo, B. M. (2006) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr1003_2 · Cited by 1,953
Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage
Ekman, P. (1985) · Cited by 1,716
Web-Based Database for Facial Expression Analysis
Pantić, M., Valstar, M., Rademaker, R. M., & Maat, L. (2005) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2005.1521424 · Cited by 1,124
Donato, G., Bartlett, M. S., Hager, J. C., Ekman, P., & B, T. J. S. A. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.799905 · Cited by 999
Self-citationRinn, W. E. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.1.52 · Cited by 804
Behavioral markers and recognizability of the smile of enjoyment.
Frank, M. G., Ekman, P., & Friesen, W. V. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.1.83 · Cited by 555
Rinn, W. E. (1984) · Psychological Bulletin · doi:10.1037//0033-2909.95.1.52 · Cited by 538
Flagged first, then by citations
2 of the 35 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Prkachin, 2007, The underestimation of pain among health-care providers, Can. J. Nurs. Res., 39, 88
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Items 201–216 of 216
Where We’ve Been, Where We’re at, Where Do We Go from Here?
Prkachin, K. M., Karos, K., Vervoort, T., & Trost, Z. (2018) · Springer eBooks · doi:10.1007/978-3-319-78340-6_23
Genuine vs Posed Expressions: A Juxtaposing of Man and Machine Performance
Fratila, A., Florea, C., Vertan, C., & Badea, M. (2019) · International Conference on Speech Technology and Human-Computer Dialogue (SpeD) · doi:10.1109/sped.2019.8906591
Affective Computing in E-Learning Modules
Maharjan, M., Yeom, S., Kim, S.-H., & Fan, S. (2020) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-2637-8.ch009
Pose Registration of 3D Face Images
Dutta, K., Bhattacharjee, D., & Nasipuri, M. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-4288-6_4
Vandeventer, J., Patterson, E. K., Reinicke, B. A., & Guinn, C. I. (2012) · Annals of the Master of Science in Computer Science and Information Systems at UNC Wilmington
Detection of facial expressions based on time dependent morphological features
Bozed, K. A. (2011) · University of Bedfordshire Repository (University of Bedfordshire)
Understanding Children’s Accuracy in Recognizing Facial Expressions of Pain
Roy‐Charland, A., Michaud, M., Rowe, S., & Perron, M. (2024) · The Journal of Genetic Psychology · doi:10.1080/00221325.2024.2328048
Gao, F. Q., Qing, L., Li, L., Xiong, K., Xu, R., & Gao, L. (2024) · Research Square · doi:10.21203/rs.3.rs-4193042/v1
Adholiya, A., & Khopkar, A. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-9531-8_38
A Critical Review About the Application of Artificial Intelligence in Pain Assessment
Farghal, M. (2024) · Premier Journal of Artificial Intelligence · doi:10.70389/pjai.100002
Gao, F. Q., Qing, L., Li, L., Zhao, W. D., & Gao, L. (2025) · International Conference on Image, Vision and Computing (ICIVC) · doi:10.1109/icivc66358.2025.11200378
Adibuzzaman, M. (2015) · e-Publications@Marquette (Marquette University)
The Delaware pain database: A set of painful expressions and corresponding norming dataPreprint
Qu-Lee, J. W., Mende‐Siedlecki, P., Drain, A., & Goharzad, A. (2020) · OSF Preprints (OSF Preprints)
New Artificial Intelligence techniques for Computer vision based medical diagnosis
Morabit, S. E. (2023) · theses.fr (ABES) · doi:10.70675/8e7e57eaz99b2z4837za83dz6076e06ce2d0
Connectivity-Based Pain Recognition from fNIRS: Parsimonious Subject-Independent Classification
Safari, M., Ghahramani, M., & Rojas, R. F. (2026) · Sensors · doi:10.3390/s26102947
Metadata
- Authors
- Littlewort, G. C., Bartlett, M. S., & Lee, K.
- Affiliations
- University of California San Diego (US)
- University of Toronto (CA)
- Corresponding author
- Littlewort, Gwen C.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 27
- Issue
- 12
- Pages
- 1797-1803
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2005733474
- Cited by
- 216
- References
- 35
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 9 · 2023: 8 · 2022: 7 · 2021: 14 · 2020: 19 · 2019: 13 · 2018: 19 · 2017: 18 · 2016: 23 · 2015: 18 · 2014: 19 · 2013: 12 · 2012: 10
- FWCI
- 12.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Image and Vision Computing (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- facial expression recognition, pain expression, cold pressor pain, facial action units, facial action coding system, emotion recognition, deception detection, subject-independent classification
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