| BiLSTM-CRF for geological named entity recognition from the geoscience literature Q Qiu, Z Xie, L Wu, L Tao, W Li Earth Science Informatics 12, 565-579, 2019 | 101 | 2019 |
| Geoscience keyphrase extraction algorithm using enhanced word embedding Q Qiu, Z Xie, L Wu, W Li Expert Systems with Applications 125, 157-169, 2019 | 74 | 2019 |
| DGeoSegmenter: A dictionary-based Chinese word segmenter for the geoscience domain Q Qiu, Z Xie, L Wu, W Li Computers & geosciences 121, 1-11, 2018 | 68 | 2018 |
| A semi-automatic approach for generating geological profiles by integrating multi-source data B Wang, L Wu, W Li, Q Qiu, Z Xie, H Liu, Y Zhou Ore Geology Reviews 134, 104190, 2021 | 29 | 2021 |
| Few-shot learning for name entity recognition in geological text based on GeoBERT H Liu, Q Qiu, L Wu, W Li, B Wang, Y Zhou Earth Science Informatics 15 (2), 979-991, 2022 | 28 | 2022 |
| Chinese word segmentation based on self‐learning model and geological knowledge for the geoscience domain W Li, K Ma, Q Qiu, L Wu, Z Xie, S Li, S Chen Earth and Space Science 8 (6), e2021EA001673, 2021 | 18 | 2021 |
| Ontology-based question understanding with the constraint of Spatio-temporal geological knowledge W Li, L Wu, Z Xie, L Tao, K Zou, F Li, J Miao Earth Science Informatics 12, 599-613, 2019 | 13 | 2019 |
| Matching descriptions to spatial entities using a Siamese hierarchical attention network K Ma, L Wu, L Tao, W Li, Z Xie IEEE Access 6, 28064-28072, 2018 | 13 | 2018 |
| A multi-granularity knowledge association model of geological text based on hypernetwork C Zhuang, W Li, Z Xie, L Wu Earth Science Informatics 14, 227-246, 2021 | 12 | 2021 |
| Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction W Chen, X Ma, Z Wang, W Li, C Fan, J Zhang, X Que, C Li Earth Science Informatics, 2024 | 5 | 2024 |
| Interactive Segmentation in Aerial Images: a New Benchmark and an Open Access Web-based Tool Z Wang, X Que, X Ma, W Li, J Zhang, S Sun AGU Fall Meeting 2023, 2023 | 2 | 2023 |
| Deep learning and network analysis: classifying and visualizing geologic hazard reports W Li, L Wu, X Xu, Z Xie, Q Qiu, H Liu, Z Huang, J Chen Journal of Earth Science 35 (4), 1289-1303, 2024 | 1 | 2024 |
| Streamlining Earth Data Analysis with Open LLM-Assisted Workflow: Open Mindat API Use Cases J Zhang, W Chen, W Li, C Li, X Ma AGU24, 2024 | | 2024 |
| Mindat. org–the open access mineralogy database to accelerate data-intensive geoscience research J Ralph, D Von Bargen, P Martynov, J Zhang, X Que, A Prabhu, ... American Mineralogist, 2024 | | 2024 |
| Streamlining Geoscience Data Analysis with an Llm-Driven Workflow J Zhang, C Clairmont, X Que, W Li, W Chen, C Li, X Ma Available at SSRN 4962656, 2024 | | 2024 |
| A hybrid knowledge graph for efficient exploration of lithostratigraphic information in open text data W Li, X Ma, X Wang, L Wu, S Salati, Z Xie Applied Computing and Geosciences, 2024 | | 2024 |
| Identifier Service in the Mindat Database: Persistent and Structured Access to Massive Records of Minerals and Other Natural Materials J Ralph, P Martynov, X Ma, D Von Bargen, W Li, J Huang, J Golden, ... | | 2024 |
| Unraveling the Enigma of Ungrouped Chondrites: A Data Science Approach for Exploring their Origins A Ostroverkhova, M Clark, A Prabhu, TJ Prestgard, W Li, H Zhong, J Mays, ... AGU Fall Meeting 2023, 2023 | | 2023 |
| From detecting agnostic biosignatures to characterizing chondrites: How network science is perfect for making scientific discoveries with geochemical data A Prabhu, ML Wong, SM Morrison, A Ostroverkhova, M Clark, H Zhong, ... AGU Fall Meeting 2023, 2023 | | 2023 |
| Advanced Machine Interface to Open Mineral Data: The OpenMindat Data API and Python Package J Zhang, J Ralph, DV Bargen, X Ma, X Que, W Li AGU Fall Meeting 2023, 2023 | | 2023 |
Qinjun QIUChina University of Geosciences; Nanyang Technological UniversityVerified email at cug.edu.cn