The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
A comparative review on multi-modal sensors fusion based on deep learning
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Citations
Cites
1 retracted
He, Q., Sun, X., Diao, W., Yan, Z., Yin, D., & Fu, K. (2022) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2022.08.010 · Cited by 51
RetractedExploiting Generative AI to Scale up Intelligent Tutoring Systems
Jakubův, J., Chvalovský, K., Goertzel, Z., Kaliszyk, C., Olšák, M., Piotrowski, B., Schulz, S., Suda, M., & Urban, J. (2023) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.itp.2023.19 · Cited by 76,658
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.244 · Cited by 23,602
Auto-Encoding Variational Bayes
Kingma, D. P., & Welling, M. (2013) · arXiv · doi:10.48550/arxiv.1312.6114 · Cited by 20,067
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A survey on deep learning in medical image analysis
Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.005 · Cited by 15,332
Proceedings of IEEE International Conference on Computer Vision
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Cited by
Advanced Neural Networks for Multimodal Data Fusion in Interdisciplinary Research
Dhivya, K., Kumar, S. N., Victoria, D. R. S., Sherly, S. I., & Durgadevi, G. (2024) · Advances in IT Standards and Standardization Research · doi:10.4018/979-8-3693-4759-1.ch008 · Cited by 4
Metadata
- Authors
- Tang, Q., Liang, J., & Zhu, F.
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 213
- Pages
- 109165
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W4382934641
- Cited by
- 280
- References
- 165
- FWCI
- 30.92
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: A comparative review on multi-modal sensors fusion based on deep learning. https://app.cochat.ai/papers/10.1016/j.sigpro.2023.109165
- The paper
- Tang, Q., Liang, J., & Zhu, F. (2023). A comparative review on multi-modal sensors fusion based on deep learning. Signal Processing. https://doi.org/10.1016/j.sigpro.2023.109165
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.
