| A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams O Alghushairy, R Alsini, T Soule, X Ma Big Data and Cognitive Computing 5 (1), https://doi.org/10.3390/bdcc5010001, 2021 | 422 | 2021 |
| Information extraction and knowledge graph construction from geoscience literature C Wang, X Ma, J Chen, J Chen Computers & Geosciences 112, 112-120, 2018 | 255 | 2018 |
| A review of Earth Artificial Intelligence Z Sun, L Sandoval, R Crystal-Ornelas, SM Mousavi, J Wang, C Lin, ... Computers & Geosciences 159, 105034, 2022 | 244 | 2022 |
| A Literature Review of Textual Hate Speech Detection Methods and Datasets F Alkomah, X Ma Information 13 (6), 273, 2022 | 242 | 2022 |
| Knowledge graph construction and application in geosciences: A review X Ma Computers & Geosciences 161, 105082, 2022 | 167 | 2022 |
| The Deep-Time Digital Earth program: data-driven discovery in geosciences C Wang, RM Hazen, Q Cheng, MH Stephenson, C Zhou, P Fox, S Shen, ... National Science Review 8 (9), nwab027, 2021 | 124 | 2021 |
| Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross-sections Q Chen, G Mariethoz, G Liu, A Comunian, X Ma Hydrology and Earth System Sciences 22 (12), 6547-6566, 2018 | 101 | 2018 |
| Provenance documentation to enable explainable and trustworthy AI: A literature review A Kale, T Nguyen, FC Harris, C Li, J Zhang, X Ma Data Intelligence 5 (1), 139-162, 2023 | 99 | 2023 |
| Handbook of mathematical geosciences: fifty years of IAMG D Sagar, Q Cheng, F Agterberg Springer Nature, 2018 | 90 | 2018 |
| 3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, southeast China Q Chen, G Liu, X Ma, X Li, Z He Computers & Geosciences 136, 104404, 2020 | 82 | 2020 |
| Characterizing subsurface structures from hard and soft data with multiple‐condition fusion neural network Z Cui, Q Chen, J Luo, X Ma, G Liu Water Resources Research 60 (11), e2024WR038170, 2024 | 80 | 2024 |
| Data-driven discovery in mineralogy: Recent advances in data resources, analysis, and visualization RM Hazen, RT Downs, A Eleish, P Fox, OC Gagné, JJ Golden, ES Grew, ... Engineering 5 (3), 397-405, 2019 | 75 | 2019 |
| A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications Y He, Y Zhou, T Wen, S Zhang, F Huang, X Zou, X Ma, Y Zhu Applied Geochemistry 140, 105273, 2022 | 73 | 2022 |
| Ontology-driven data integration and visualization for exploring regional geologic time and paleontological information C Wang, X Ma, J Chen Computers & Geosciences 115, 12-19, 2018 | 70 | 2018 |
| Ontology-aided annotation, visualization and generalization of geological time scale information from online geological map services X Ma, EJM Carranza, C Wu, FD Van Der Meer Computers & Geosciences 40, 107-119, 2012 | 59 | 2012 |
| A new structure for representing and tracking version information in a deep time knowledge graph X Ma, C Ma, C Wang Computers & Geosciences 145, 104620, 2020 | 58 | 2020 |
| Encyclopedia of big data LA Schintler, CL McNeely Springer International Publishing, 2022 | 54 | 2022 |
| Improving the outlier detection method in concrete mix design by combining the isolation forest and local outlier factor R Alsini, A Almakrab, A Ibrahim, X Ma Construction and Building Materials 270, 121396, 2021 | 54 | 2021 |
| Language and Domain Independent Entity Linking with Quantified Collective Validation H Wang, JG Zheng, X Ma, P Fox, H Ji EMNLP 2015: Conference on Empirical Methods in Natural Language Processing, 2015 | 54 | 2015 |
| Capturing provenance of global change information X Ma, P Fox, C Tilmes, K Jacobs, A Waple Nature Climate Change 4 (6), 409-413, 2014 | 53 | 2014 |
Robert M. HazenStaff Scientist, Carnegie Institution for ScienceVerified email at carnegiescience.edu
