The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
The Jensen-Shannon divergence
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Divergence measures based on the Shannon entropy
Lin, J. (1991) · IEEE Transactions on Information Theory · doi:10.1109/18.61115 · Cited by 5,140
Pearson, K. (1900) · The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science · doi:10.1080/14786440009463897 · Cited by 4,069
A Mathematical Theory of Communications
Shannon, C. E. (1948) · Cited by 2,080
Information-type measures of difference of probability distributions and indirect observation
Csiszár, I. (1967) · Studia Scientiarum Mathematicarum Hungarica · Cited by 1,332
Multinomial Goodness-Of-Fit Tests
Cressie, N., & Read, T. R. C. (1984) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1984.tb01318.x · Cited by 1,331
The $\chi^2$ Test of Goodness of Fit
Cochran, W. G. (1952) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729380 · Cited by 1,106
Goodness-of-fit statistics for discrete multivariate data
(1989) · Choice Reviews Online · doi:10.5860/choice.26-2740 · Cited by 738
Some Limit Theorems in Statistics
Bahadur, R. R. (1971) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970630 · Cited by 500
On the convexity of some divergence measures based on entropy functions
Burbea, J., & Rao, C. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056497 · Cited by 423
Cited by
Machine learning in NextG networks via generative adversarial networks
Ayanoglu, E., Davaslioglu, K., & Sagduyu, Y. E. (2022) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2022.3153004 · Cited by 55
LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead
He, J., Shi, J., Zhuo, T. Y., Treude, C., Sun, J., Du, X., Xing, Z., & Lo, D. (2026) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3797276 · Cited by 12
Metadata
- Authors
- Menéndez, M. L., Pardo, J. A., Pardo, L., & Pardo, M. C.
- Venue
- Journal of the Franklin Institute
- Publisher
- Elsevier BV
- Published
- 1997-03
- Volume
- 334
- Issue
- 2
- Pages
- 307-318
- ISSN
- 0016-0032 (ISSN-L)
- OpenAlex
- W2056716515
- Cited by
- 521
- References
- 15
- FWCI
- 0.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Jensen-Shannon divergence. https://app.cochat.ai/papers/10.1016/s0016-0032(96)00063-4
- The paper
- Menéndez, M. L., Pardo, J. A., Pardo, L., & Pardo, M. C. (1997). The Jensen-Shannon divergence. Journal of the Franklin Institute. https://doi.org/10.1016/s0016-0032(96)00063-4
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.
