Data augmentation (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Data augmentation" in English language version.

Last modified: 21:50:44, 11 August 2026 (UTC)

Ref.Un. Ref.Website

Global rank English rank

1715doi.org

2^nd place

109worldcat.org

4^th place

86semanticscholar.org

15^th place

8^th place

88nih.gov

5^th place

65adsabs.harvard.edu

14^th place

9^th place

33web.archive.org

1^st place

32arxiv.org

49^th place

31^st place

22wiley.com

150^th place

174^th place

11jstor.org

23^rd place

15^th place

11nyu.edu

1,362^nd place

822^nd place

11zenodo.org

737^th place

426^th place

11inria.fr

6,372^nd place

5,582^nd place

11hdl.handle.net

66^th place

34^th place

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ui.adsabs.harvard.edu

Wang, Shujuan; Dai, Yuntao; Shen, Jihong; Xuan, Jingxue (2021-12-15). "Research on expansion and classification of imbalanced data based on SMOTE algorithm". Scientific Reports. 11 (1): 24039. Bibcode:2021NatSR..1124039W. doi:10.1038/s41598-021-03430-5. ISSN 2045-2322. PMC 8674253. PMID 34912009.
Anicet Zanini, Rafael; Luna Colombini, Esther (2020). "Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer". Sensors. 20 (9): 2605. Bibcode:2020Senso..20.2605A. doi:10.3390/s20092605. ISSN 1424-8220. PMC 7248755. PMID 32375217.
Freer, Daniel; Yang, Guang-Zhong (2020). "Data augmentation for self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0. hdl:10044/1/75376. ISSN 1741-2552. PMID 31726440. S2CID 208034533.
Tsinganos, Panagiotis; Cornelis, Bruno; Cornelis, Jan; Jansen, Bart; Skodras, Athanassios (2020). "Data Augmentation of Surface Electromyography for Hand Gesture Recognition". Sensors. 20 (17): 4892. Bibcode:2020Senso..20.4892T. doi:10.3390/s20174892. ISSN 1424-8220. PMC 7506981. PMID 32872508.
Yang, Yang (2022). "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method". Renewable Energy. 198 (1): 267–282. arXiv:2306.01986. Bibcode:2022REne..198..267Y. doi:10.1016/j.renene.2022.07.125. ISSN 0960-1481. S2CID 251511199.

arxiv.org (Global: 49^th place; English: 31^st place)

Hinton, Geoffrey E.; Srivastava, Nitish; Krizhevsky, Alex; Sutskever, Ilya; Salakhutdinov, Ruslan R. (2012). "Improving neural networks by preventing co-adaptation of feature detectors". arXiv:1207.0580 [cs.NE].
Yang, Yang (2022). "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method". Renewable Energy. 198 (1): 267–282. arXiv:2306.01986. Bibcode:2022REne..198..267Y. doi:10.1016/j.renene.2022.07.125. ISSN 0960-1481. S2CID 251511199.

doi.org (Global: 2^nd place; English: 2^nd place)

Dempster, A.P.; Laird, N.M.; Rubin, D.B. (1977). "Maximum Likelihood from Incomplete Data Via the EM Algorithm". Journal of the Royal Statistical Society. Series B (Methodological). 39 (1): 1–22. doi:10.1111/j.2517-6161.1977.tb01600.x. Archived from the original on 2022-10-10. Retrieved 2024-08-28.
Rubin, Donald (1987). "Comment: The Calculation of Posterior Distributions by Data Augmentation". Journal of the American Statistical Association. 82 (398). doi:10.2307/2289460. JSTOR 2289460. Archived from the original on 2024-08-07. Retrieved 2024-08-28.
Shorten, Connor; Khoshgoftaar, Taghi M. (2019). "A survey on Image Data Augmentation for Deep Learning". Mathematics and Computers in Simulation. 6 60. springer. doi:10.1186/s40537-019-0197-0.
Wang, Shujuan; Dai, Yuntao; Shen, Jihong; Xuan, Jingxue (2021-12-15). "Research on expansion and classification of imbalanced data based on SMOTE algorithm". Scientific Reports. 11 (1): 24039. Bibcode:2021NatSR..1124039W. doi:10.1038/s41598-021-03430-5. ISSN 2045-2322. PMC 8674253. PMID 34912009.
Simard, P.Y.; Steinkraus, D.; Platt, J.C. (2003). "Best practices for convolutional neural networks applied to visual document analysis". Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Vol. 1. pp. 958–963. doi:10.1109/ICDAR.2003.1227801. ISBN 0-7695-1960-1. S2CID 4659176.
Cagli, Eleonora; Dumas, Cécile; Prouff, Emmanuel (2017). "Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures: Profiling Attacks Without Pre-processing". In Fischer, Wieland; Homma, Naofumi (eds.). Cryptographic Hardware and Embedded Systems – CHES 2017. Lecture Notes in Computer Science. Vol. 10529. Cham: Springer International Publishing. pp. 45–68. doi:10.1007/978-3-319-66787-4_3. ISBN 978-3-319-66787-4. S2CID 54088207.
Shorten, Connor; Khoshgoftaar, Taghi M. (2019-07-06). "A survey on Image Data Augmentation for Deep Learning". Journal of Big Data. 6 (1): 60. doi:10.1186/s40537-019-0197-0. ISSN 2196-1115.
Ghorbel, Emna; Ghorbel, Faouzi (2024-06-01). "Data augmentation based on shape space exploration for low-size datasets: application to 2D shape classification". Neural Computing and Applications. 36 (17): 10031–10054. doi:10.1007/s00521-024-09798-5. ISSN 1433-3058.
Anicet Zanini, Rafael; Luna Colombini, Esther (2020). "Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer". Sensors. 20 (9): 2605. Bibcode:2020Senso..20.2605A. doi:10.3390/s20092605. ISSN 1424-8220. PMC 7248755. PMID 32375217.
Wang, Fang; Zhong, Sheng-hua; Peng, Jianfeng; Jiang, Jianmin; Liu, Yan (2018). "Data Augmentation for EEG-Based Emotion Recognition with Deep Convolutional Neural Networks". MultiMedia Modeling. Lecture Notes in Computer Science. Vol. 10705. pp. 82–93. doi:10.1007/978-3-319-73600-6_8. ISBN 978-3-319-73599-3. ISSN 0302-9743.
Lotte, Fabien (2015). "Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces" (PDF). Proceedings of the IEEE. 103 (6): 871–890. doi:10.1109/JPROC.2015.2404941. ISSN 0018-9219. S2CID 22472204. Archived (PDF) from the original on 2023-04-03. Retrieved 2022-11-05.
Freer, Daniel; Yang, Guang-Zhong (2020). "Data augmentation for self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0. hdl:10044/1/75376. ISSN 1741-2552. PMID 31726440. S2CID 208034533.
Tsinganos, Panagiotis; Cornelis, Bruno; Cornelis, Jan; Jansen, Bart; Skodras, Athanassios (2020). "Data Augmentation of Surface Electromyography for Hand Gesture Recognition". Sensors. 20 (17): 4892. Bibcode:2020Senso..20.4892T. doi:10.3390/s20174892. ISSN 1424-8220. PMC 7506981. PMID 32872508.
Luo, Yun; Lu, Bao-Liang (2018). "EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN". 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018. pp. 2535–2538. doi:10.1109/EMBC.2018.8512865. ISBN 978-1-5386-3646-6. PMID 30440924. S2CID 53105445.
Yang, Yang (2022). "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method". Renewable Energy. 198 (1): 267–282. arXiv:2306.01986. Bibcode:2022REne..198..267Y. doi:10.1016/j.renene.2022.07.125. ISSN 0960-1481. S2CID 251511199.

hdl.handle.net (Global: 66^th place; English: 34^th place)

Freer, Daniel; Yang, Guang-Zhong (2020). "Data augmentation for self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0. hdl:10044/1/75376. ISSN 1741-2552. PMID 31726440. S2CID 208034533.

inria.fr (Global: 6,372^nd place; English: 5,582^nd place)

hal.inria.fr

Lotte, Fabien (2015). "Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces" (PDF). Proceedings of the IEEE. 103 (6): 871–890. doi:10.1109/JPROC.2015.2404941. ISSN 0018-9219. S2CID 22472204. Archived (PDF) from the original on 2023-04-03. Retrieved 2022-11-05.

jstor.org (Global: 23^rd place; English: 15^th place)

Rubin, Donald (1987). "Comment: The Calculation of Posterior Distributions by Data Augmentation". Journal of the American Statistical Association. 82 (398). doi:10.2307/2289460. JSTOR 2289460. Archived from the original on 2024-08-07. Retrieved 2024-08-28.

nih.gov (Global: 5^th place; English: 5^th place)

pubmed.ncbi.nlm.nih.gov

Wang, Shujuan; Dai, Yuntao; Shen, Jihong; Xuan, Jingxue (2021-12-15). "Research on expansion and classification of imbalanced data based on SMOTE algorithm". Scientific Reports. 11 (1): 24039. Bibcode:2021NatSR..1124039W. doi:10.1038/s41598-021-03430-5. ISSN 2045-2322. PMC 8674253. PMID 34912009.
Anicet Zanini, Rafael; Luna Colombini, Esther (2020). "Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer". Sensors. 20 (9): 2605. Bibcode:2020Senso..20.2605A. doi:10.3390/s20092605. ISSN 1424-8220. PMC 7248755. PMID 32375217.
Freer, Daniel; Yang, Guang-Zhong (2020). "Data augmentation for self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0. hdl:10044/1/75376. ISSN 1741-2552. PMID 31726440. S2CID 208034533.
Tsinganos, Panagiotis; Cornelis, Bruno; Cornelis, Jan; Jansen, Bart; Skodras, Athanassios (2020). "Data Augmentation of Surface Electromyography for Hand Gesture Recognition". Sensors. 20 (17): 4892. Bibcode:2020Senso..20.4892T. doi:10.3390/s20174892. ISSN 1424-8220. PMC 7506981. PMID 32872508.
Luo, Yun; Lu, Bao-Liang (2018). "EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN". 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018. pp. 2535–2538. doi:10.1109/EMBC.2018.8512865. ISBN 978-1-5386-3646-6. PMID 30440924. S2CID 53105445.

ncbi.nlm.nih.gov

Wang, Shujuan; Dai, Yuntao; Shen, Jihong; Xuan, Jingxue (2021-12-15). "Research on expansion and classification of imbalanced data based on SMOTE algorithm". Scientific Reports. 11 (1): 24039. Bibcode:2021NatSR..1124039W. doi:10.1038/s41598-021-03430-5. ISSN 2045-2322. PMC 8674253. PMID 34912009.
Anicet Zanini, Rafael; Luna Colombini, Esther (2020). "Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer". Sensors. 20 (9): 2605. Bibcode:2020Senso..20.2605A. doi:10.3390/s20092605. ISSN 1424-8220. PMC 7248755. PMID 32375217.
Tsinganos, Panagiotis; Cornelis, Bruno; Cornelis, Jan; Jansen, Bart; Skodras, Athanassios (2020). "Data Augmentation of Surface Electromyography for Hand Gesture Recognition". Sensors. 20 (17): 4892. Bibcode:2020Senso..20.4892T. doi:10.3390/s20174892. ISSN 1424-8220. PMC 7506981. PMID 32872508.

nyu.edu (Global: 1,362^nd place; English: 822^nd place)

nyuscholars.nyu.edu

Yann Lecun; et al. (1995). Learning algorithms for classification: A comparison on handwritten digit recognition (Conference paper). World Scientific. pp. 261–276. Retrieved 14 May 2023. {{cite book}}: |website= ignored (help)

semanticscholar.org (Global: 15^th place; English: 8^th place)

api.semanticscholar.org

Simard, P.Y.; Steinkraus, D.; Platt, J.C. (2003). "Best practices for convolutional neural networks applied to visual document analysis". Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. Vol. 1. pp. 958–963. doi:10.1109/ICDAR.2003.1227801. ISBN 0-7695-1960-1. S2CID 4659176.
Cagli, Eleonora; Dumas, Cécile; Prouff, Emmanuel (2017). "Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures: Profiling Attacks Without Pre-processing". In Fischer, Wieland; Homma, Naofumi (eds.). Cryptographic Hardware and Embedded Systems – CHES 2017. Lecture Notes in Computer Science. Vol. 10529. Cham: Springer International Publishing. pp. 45–68. doi:10.1007/978-3-319-66787-4_3. ISBN 978-3-319-66787-4. S2CID 54088207.
Lotte, Fabien (2015). "Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces" (PDF). Proceedings of the IEEE. 103 (6): 871–890. doi:10.1109/JPROC.2015.2404941. ISSN 0018-9219. S2CID 22472204. Archived (PDF) from the original on 2023-04-03. Retrieved 2022-11-05.
Freer, Daniel; Yang, Guang-Zhong (2020). "Data augmentation for self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0. hdl:10044/1/75376. ISSN 1741-2552. PMID 31726440. S2CID 208034533.
Luo, Yun; Lu, Bao-Liang (2018). "EEG Data Augmentation for Emotion Recognition Using a Conditional Wasserstein GAN". 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018. pp. 2535–2538. doi:10.1109/EMBC.2018.8512865. ISBN 978-1-5386-3646-6. PMID 30440924. S2CID 53105445.
Yang, Yang (2022). "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method". Renewable Energy. 198 (1): 267–282. arXiv:2306.01986. Bibcode:2022REne..198..267Y. doi:10.1016/j.renene.2022.07.125. ISSN 0960-1481. S2CID 251511199.

web.archive.org (Global: 1^st place; English: 1^st place)

Dempster, A.P.; Laird, N.M.; Rubin, D.B. (1977). "Maximum Likelihood from Incomplete Data Via the EM Algorithm". Journal of the Royal Statistical Society. Series B (Methodological). 39 (1): 1–22. doi:10.1111/j.2517-6161.1977.tb01600.x. Archived from the original on 2022-10-10. Retrieved 2024-08-28.
Rubin, Donald (1987). "Comment: The Calculation of Posterior Distributions by Data Augmentation". Journal of the American Statistical Association. 82 (398). doi:10.2307/2289460. JSTOR 2289460. Archived from the original on 2024-08-07. Retrieved 2024-08-28.
Lotte, Fabien (2015). "Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces" (PDF). Proceedings of the IEEE. 103 (6): 871–890. doi:10.1109/JPROC.2015.2404941. ISSN 0018-9219. S2CID 22472204. Archived (PDF) from the original on 2023-04-03. Retrieved 2022-11-05.

wiley.com (Global: 150^th place; English: 174^th place)

rss.onlinelibrary.wiley.com

Dempster, A.P.; Laird, N.M.; Rubin, D.B. (1977). "Maximum Likelihood from Incomplete Data Via the EM Algorithm". Journal of the Royal Statistical Society. Series B (Methodological). 39 (1): 1–22. doi:10.1111/j.2517-6161.1977.tb01600.x. Archived from the original on 2022-10-10. Retrieved 2024-08-28.

wiley.com

Jackman, Simon (2009). Bayesian Analysis for the Social Sciences. John Wiley & Sons. p. 236. ISBN 978-0-470-01154-6.

worldcat.org (Global: 4^th place; English: 4^th place)

search.worldcat.org

Wang, Shujuan; Dai, Yuntao; Shen, Jihong; Xuan, Jingxue (2021-12-15). "Research on expansion and classification of imbalanced data based on SMOTE algorithm". Scientific Reports. 11 (1): 24039. Bibcode:2021NatSR..1124039W. doi:10.1038/s41598-021-03430-5. ISSN 2045-2322. PMC 8674253. PMID 34912009.
Shorten, Connor; Khoshgoftaar, Taghi M. (2019-07-06). "A survey on Image Data Augmentation for Deep Learning". Journal of Big Data. 6 (1): 60. doi:10.1186/s40537-019-0197-0. ISSN 2196-1115.
Ghorbel, Emna; Ghorbel, Faouzi (2024-06-01). "Data augmentation based on shape space exploration for low-size datasets: application to 2D shape classification". Neural Computing and Applications. 36 (17): 10031–10054. doi:10.1007/s00521-024-09798-5. ISSN 1433-3058.
Anicet Zanini, Rafael; Luna Colombini, Esther (2020). "Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer". Sensors. 20 (9): 2605. Bibcode:2020Senso..20.2605A. doi:10.3390/s20092605. ISSN 1424-8220. PMC 7248755. PMID 32375217.
Wang, Fang; Zhong, Sheng-hua; Peng, Jianfeng; Jiang, Jianmin; Liu, Yan (2018). "Data Augmentation for EEG-Based Emotion Recognition with Deep Convolutional Neural Networks". MultiMedia Modeling. Lecture Notes in Computer Science. Vol. 10705. pp. 82–93. doi:10.1007/978-3-319-73600-6_8. ISBN 978-3-319-73599-3. ISSN 0302-9743.
Lotte, Fabien (2015). "Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces" (PDF). Proceedings of the IEEE. 103 (6): 871–890. doi:10.1109/JPROC.2015.2404941. ISSN 0018-9219. S2CID 22472204. Archived (PDF) from the original on 2023-04-03. Retrieved 2022-11-05.
Freer, Daniel; Yang, Guang-Zhong (2020). "Data augmentation for self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0. hdl:10044/1/75376. ISSN 1741-2552. PMID 31726440. S2CID 208034533.
Tsinganos, Panagiotis; Cornelis, Bruno; Cornelis, Jan; Jansen, Bart; Skodras, Athanassios (2020). "Data Augmentation of Surface Electromyography for Hand Gesture Recognition". Sensors. 20 (17): 4892. Bibcode:2020Senso..20.4892T. doi:10.3390/s20174892. ISSN 1424-8220. PMC 7506981. PMID 32872508.
Yang, Yang (2022). "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method". Renewable Energy. 198 (1): 267–282. arXiv:2306.01986. Bibcode:2022REne..198..267Y. doi:10.1016/j.renene.2022.07.125. ISSN 0960-1481. S2CID 251511199.

zenodo.org (Global: 737^th place; English: 426^th place)

Cagli, Eleonora; Dumas, Cécile; Prouff, Emmanuel (2017). "Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures: Profiling Attacks Without Pre-processing". In Fischer, Wieland; Homma, Naofumi (eds.). Cryptographic Hardware and Embedded Systems – CHES 2017. Lecture Notes in Computer Science. Vol. 10529. Cham: Springer International Publishing. pp. 45–68. doi:10.1007/978-3-319-66787-4_3. ISBN 978-3-319-66787-4. S2CID 54088207.

Data augmentation (English Wikipedia)

adsabs.harvard.edu (Global: 14th place; English: 9th place)

ui.adsabs.harvard.edu

arxiv.org (Global: 49th place; English: 31st place)

doi.org (Global: 2nd place; English: 2nd place)

hdl.handle.net (Global: 66th place; English: 34th place)

inria.fr (Global: 6,372nd place; English: 5,582nd place)