Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks X Liu, H Song Sedimentary Geology 410, 105790, 2020 | 38 | 2020 |
A Mesozoic fossil lagerstätte from 250.8 million years ago shows a modern-type marine ecosystem X Dai, JHFL Davies, Z Yuan, A Brayard, M Ovtcharova, G Xu, X Liu, ... Science 379 (6632), 567-572, 2023 | 26 | 2023 |
Automatic taxonomic identification based on the Fossil Image Dataset (> 415,000 images) and deep convolutional neural networks X Liu, S Jiang, R Wu, W Shu, J Hou, Y Sun, J Sun, D Chu, Y Wu, H Song Paleobiology 49 (1), 1-22, 2023 | 17 | 2023 |
Two pulses of extinction of larger benthic foraminifera during the Pliensbachian-Toarcian and early Toarcian environmental crises S Jiang, H Song, DB Kemp, X Dai, X Liu Palaeogeography, Palaeoclimatology, Palaeoecology 560, 109998, 2020 | 16 | 2020 |
Migration controls extinction and survival patterns of foraminifers during the Permian-Triassic crisis in South China X Liu, H Song, DPG Bond, J Tong, MJ Benton Earth-Science Reviews 209, 103329, 2020 | 13 | 2020 |
Calibrating the late Smithian (Early Triassic) crisis: New insights from the Nanpanjiang Basin, South China X Dai, Z Yuan, A Brayard, M Li, X Liu, E Jia, Y Du, H Song, H Song Global and Planetary Change 201, 103492, 2021 | 10 | 2021 |
A new perleidid neopterygian fish from the Early Triassic (Dienerian, Induan) of South China, with a reassessment of the relationships of Perleidiformes Z Yuan, GH Xu, X Dai, F Wang, X Liu, E Jia, L Miao, H Song PeerJ 10, e13448, 2022 | 7 | 2022 |
High-resolution Early Triassic ammonoid biostratigraphy of South Tibet, China and implications for global correlations X Dai, A Brayard, D Ware, S Jiang, M Li, F Wang, X Liu, H Song Earth-Science Reviews, 104384, 2023 | 1 | 2023 |
A Changhsingian (late Permian) nautiloid assemblage from Gujiao, South China L Miao, X Dai, D Korn, A Brayard, J Chen, X Liu, H Song Papers in Palaeontology 7 (1), 329-351, 2021 | 1 | 2021 |
Automatic identification and morphological comparison of bivalve and brachiopod fossils based on deep learning J Sun, X Liu, Y Huang, F Wang, Y Sun, J Chen, D Chu, H Song PeerJ 11, e16200, 2023 | | 2023 |