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Applied Computing and Geosciences

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DOIs for this ISSN

Showing the top 5 of 339 DOIs, ordered by correction priority.

# Title Missing Priority Citations
1 Enhanced machine learning tree classifiers for lithology ide… (10.1016/j.acags.2022.100100)
Abstract ORCID
74.57 30
2 Automatic classification of plutonic rocks with deep learnin… (10.1016/j.acags.2021.100061)
Abstract ORCID
73.12 28
3 Land use and land cover classification for change detection… (10.1016/j.acags.2025.100227)
Abstract ORCID
73.12 28
4 Compaction trend estimation and applications to sedimentary… (10.1016/j.acags.2019.100015)
Abstract ORCID
71.57 26
5 Statistical analysis of mineral evolution and mineral ecolog… (10.1016/j.acags.2019.100005)
Abstract ORCID
67.12 21
6 Adaptive Proxy-based Robust Production Optimization with Mul… (10.1016/j.acags.2022.100103)
Abstract ORCID
67.12 21
7 Using three dimensional convolutional neural networks for de… (10.1016/j.acags.2019.100016)
Abstract ORCID
66.11 20
8 Machine learning technique in the north zagros earthquake pr… (10.1016/j.acags.2024.100163)
Abstract ORCID
60.21 15
9 Construction and application of a multilevel geohazard domai… (10.1016/j.acags.2023.100134)
Abstract ORCID
58.80 14
10 Retrieval of land surface temperature, normalized difference… (10.1016/j.acags.2020.100051)
Abstract
57.42 197
11 Evaluating the performances of SVR and XGBoost for short-ran… (10.1016/j.acags.2024.100204)
Abstract ORCID
57.31 13
12 Automated detection of microfossil fish teeth from slide ima… (10.1016/j.acags.2022.100092)
Abstract ORCID
55.70 12
13 GeoCoDA: Recognizing and validating structural processes in… (10.1016/j.acags.2023.100149)
Abstract ORCID
53.96 11
14 A novel few-shot learning framework for rock images dually d… (10.1016/j.acags.2024.100155)
Abstract ORCID
52.07 10
15 Machine Learning model interpretability using SHAP values: A… (10.1016/j.acags.2024.100178)
Abstract
51.33 112
16 Comparative analysis of different vegetation indices with re… (10.1016/j.acags.2020.100032)
Abstract
51.13 110
17 Geotechnical soil mapping from electrical and mechanical pro… (10.1016/j.acags.2021.100078)
Abstract ORCID
50.00 9
18 Enhancing reservoir porosity prediction from acoustic impeda… (10.1016/j.acags.2022.100106)
Abstract ORCID
50.00 9
19 Super-resolution in thin section of lacustrine shale reservo… (10.1016/j.acags.2023.100133)
Abstract ORCID
47.71 8
20 The British Geological Survey Rock Classification Scheme, it… (10.1016/j.acags.2023.100140)
Abstract ORCID
47.71 8
21 Revolutionizing the future of hydrological science: Impact o… (10.1016/j.acags.2024.100206)
Abstract
46.28 70
22 A framework for constructing machine learning models with fe… (10.1016/j.acags.2022.100105)
Abstract ORCID
45.15 7
23 Rock type classification based on petrophysical, geochemical… (10.1016/j.acags.2022.100104)
Abstract
44.63 60
24 Flood susceptibility mapping: Integrating machine learning a… (10.1016/j.acags.2024.100183)
Abstract
44.63 60
25 Monitoring and mapping of snow cover variability using topog… (10.1016/j.acags.2020.100040)
Abstract
43.51 54
26 MATLAB functions for extracting hypsometry, stream-length gr… (10.1016/j.acags.2020.100033)
Abstract
42.69 50
27 Geosteering based on resistivity data and evolutionary optim… (10.1016/j.acags.2024.100162)
Abstract ORCID
42.25 6
28 A new approach to dust source mapping using visual interpret… (10.1016/j.acags.2024.100182)
Abstract ORCID
42.25 6
29 A comparative analysis of super-resolution techniques for en… (10.1016/j.acags.2023.100143)
Abstract
41.57 45
30 Modeling the spatial pattern of sediment flow in lower Hugli… (10.1016/j.acags.2020.100043)
Abstract
40.05 39
31 Great SCOT! Rapid tool for carbon sequestration science, eng… (10.1016/j.acags.2020.100035)
Abstract
39.49 37
32 Improved supervised classification of bedrock in areas of tr… (10.1016/j.acags.2019.100001)
Abstract ORCID
38.91 5
33 Amalgamations are valid in compositional data analysis, can… (10.1016/j.acags.2019.100017)
Abstract
38.91 35
34 Optimizing bathymetric position index (BPI) calculation: An… (10.1016/j.acags.2024.100168)
Abstract ORCID
38.91 5
35 Applying machine learning methods to predict geology using s… (10.1016/j.acags.2022.100094)
Abstract
38.60 34
36 Advanced wind speed prediction using convective weather vari… (10.1016/j.acags.2019.100002)
Abstract
38.29 33
37 Partial correlations in compositional data analysis (10.1016/j.acags.2020.100026)
Abstract
37.96 32
38 PS-InSAR derived deformation study in the Kachchh, Western I… (10.1016/j.acags.2020.100041)
Abstract
37.96 32
39 A competitive ensemble model for permeability prediction in… (10.1016/j.acags.2019.100004)
Abstract
37.63 31
40 Evaluating deep-learning models for debris-covered glacier m… (10.1016/j.acags.2021.100071)
Abstract
37.63 31
41 Random forest rock type classification with integration of g… (10.1016/j.acags.2022.100090)
Abstract
37.28 30
42 A plugin for computing the pore/grain network tortuosity of… (10.1016/j.acags.2020.100019)
Abstract
36.93 29
43 Comparative performance analysis of simple U-Net, residual a… (10.1016/j.acags.2023.100150)
Abstract
36.93 29
44 Enhancing estuary salinity prediction: A Machine Learning an… (10.1016/j.acags.2024.100173)
Abstract
36.56 28
45 Multivariate imputation via chained equations for elastic we… (10.1016/j.acags.2022.100083)
Abstract
36.18 27
46 TwinCalc: A multitool for calcite twinning based stress anal… (10.1016/j.acags.2020.100020)
Abstract ORCID
34.95 4
47 Semantically triggered qualitative simulation of a geologica… (10.1016/j.acags.2023.100152)
Abstract ORCID
34.95 4
48 Current progress in subseasonal-to-decadal prediction based… (10.1016/j.acags.2024.100201)
Abstract ORCID
34.95 4
49 Streamlining geoscience data analysis with an LLM-driven wor… (10.1016/j.acags.2024.100218)
Abstract
34.04 22
50 Geoscience language models and their intrinsic evaluation (10.1016/j.acags.2022.100084)
Abstract
33.06 20