The DOI matches its Crossref record.
Pearson Correlation Coefficient
Overview
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
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Citations
Cited by
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Xu, M., Ding, R., Zhao, H., & Qi, X. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00319 · Cited by 523
Real-time crash risk prediction on arterials based on LSTM-CNN
Li, P., Abdel-Aty, M., & Yuan, J. (2020) · Accident Analysis & Prevention · doi:10.1016/j.aap.2019.105371 · Cited by 394
Privacy-Enhanced Federated Learning Against Poisoning Adversaries
Liu, X., Li, H., Xu, G., Chen, Z., Huang, X., & Lu, R. (2021) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2021.3108434 · Cited by 351
Zeng, Y., Wei, Z., Yu, W., Yin, R., Yuan, Y., Li, B., Tang, Z., Lu, Y., & Yang, Y. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac297 · Cited by 211
A Reinforcement Learning Framework for Explainable Recommendation
Wang, X., Chen, Y., Yang, J., Wu, L., Wu, Z., & Xie, X. (2018) · 2018 IEEE International Conference on Data Mining (ICDM) · doi:10.1109/icdm.2018.00074 · Cited by 163
Metadata
- Authors
- Benesty, J., Chen, J., Huang, Y., & Cohen, I.
- Venue
- Springer Topics in Signal Processing
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- Pages
- 1-4
- ISSN
- 1866-2609 (ISSN-L)
- 1866-2617
- OpenAlex
- W1574447377
- Cited by
- 3,059
- References
- 0
- FWCI
- 13.70
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pearson Correlation Coefficient. https://app.cochat.ai/papers/10.1007/978-3-642-00296-0_5
- The paper
- Benesty, J., Chen, J., Huang, Y., & Cohen, I. (2009). Pearson Correlation Coefficient. Springer Topics in Signal Processing. https://doi.org/10.1007/978-3-642-00296-0_5
Data sources
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.
