The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines
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Citations
Cites
Measuring emotion: The self-assessment manikin and the semantic differential
Bradley, M. M., & Lang, P. J. (1994) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/0005-7916(94)90063-9 · Cited by 9,538
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
Toward machine emotional intelligence: analysis of affective physiological state
Picard, R. W., Vyzas, E., & Healey, J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.954607 · Cited by 2,334
Emotion recognition system using short-term monitoring of physiological signals
Kim, K. H., Bang, S. W., & Kim, S. R. (2004) · Medical & Biological Engineering & Computing · doi:10.1007/bf02344719 · Cited by 944
Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions
Schmidt, L. A., & Trainor, L. J. (2001) · Cognition and Emotion · doi:10.1080/0269993004200187 · Cited by 617
Davidson, R. J., & Fox, N. A. (1982) · Science · doi:10.1126/science.7146906 · Cited by 603
Neuropsychological mechanisms of individual differences in emotion, personality, and arousal.
Heller, W. (1993) · Neuropsychology · doi:10.1037//0894-4105.7.4.476 · Cited by 526
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
Black, M. J., & Yacoob, Y. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007977618277 · Cited by 514
Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals
Chanel, G., Kronegg, J., Grandjean, D., & Pun, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11848035_70 · Cited by 382
EEG-based emotion recognition during watching movies
Nie, D., Wang, X.-W., Shi, L.-C., & Lu, B.-L. (2011) · 2011 5th International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2011.5910636 · Cited by 360
Self-citation
Cited by
Emotions Recognition Using EEG Signals: A Survey
Alarcao, S. M., & Fonseca, M. J. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2714671 · Cited by 1,201
Feature Extraction and Selection for Emotion Recognition from EEG
Jenke, R., Peer, A., & Buss, M. (2014) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2339834 · Cited by 1,081
Jirayucharoensak, S., Pan-Ngum, S., & Israsena, P. (2014) · The Scientific World Journal · doi:10.1155/2014/627892 · Cited by 486
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Stancin, I., Cifrek, M., & Jovic, A. (2021) · Sensors · doi:10.3390/s21113786 · Cited by 269
Majid Mehmood, R., Du, R., & Lee, H. J. (2017) · IEEE Access · doi:10.1109/access.2017.2724555 · Cited by 213
Metadata
- Authors
- Wang, X.-W., Nie, D., & Lu, B.-L.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 734-743
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1829924905
- Cited by
- 259
- References
- 13
- FWCI
- 9.71
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines. https://app.cochat.ai/papers/10.1007/978-3-642-24955-6_87
- The paper
- Wang, X.-W., Nie, D., & Lu, B.-L. (2011). EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-24955-6_87
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
