7 citations as recorded by crossref.

1. Mitigating edge effects in paleoclimate reconstructions: a comprehensive review and bias assessment of soil brGDGT-based temperature reconstructions J. Liang et al. https://doi.org/10.1016/j.earscirev.2026.105393
2. Species–Community Contextual Fit Index (SCCFI): a word embedding-derived ecological indicator from co-occurrence data P. Sun et al. https://doi.org/10.1016/j.ecolind.2026.115259
3. Automated machine learning for pollen-based reconstructions: Evaluation with modern pollen dataset from China and application to Oligocene records T. Yang et al. https://doi.org/10.1016/j.revpalbo.2026.105685
4. Ostracod assemblages and their relationship with water depth in surface sediments of Nam Co, Tibetan Plateau T. Xu et al. https://doi.org/10.1016/j.palaeo.2026.113584
5. A review of machine learning applications for identification and classification problems in paleontology C. Marques et al. https://doi.org/10.1016/j.ecoinf.2025.103329
6. Development of new global lake brGDGT-temperature calibrations: advances, applications, challenges, and recommendations E. Pearson et al. https://doi.org/10.1016/j.quascirev.2025.109615
7. High-resolution XRF-CS/ICP-MS mineral element data calibration and potential applications in sub-Antarctic peat records F. De Vleeschouwer et al. https://doi.org/10.1038/s41598-026-41047-8