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Features
Assistant
AI grounded in research
Search
Full-text citation search
Collections
Organize and monitor papers
All Features →
Integrations
MCP
Connect AI agents to Scite
API
Programmatic data access
Holdings
Full-text via your library
Zotero Plugin
Citation data in Zotero
Browser Extension
Citation badges anywhere
All Integrations →
Data
Rankings
Pricing
Log In
Start Free Trial
Francisco Javier López-Flores
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64
Publications
57
Citation Statements Received
617
Citation Statements Given
How they've been cited
348
0
57
0
How they cite others
2,977
11
600
6
Affiliations
Universidad Michoacana de San Nicolás de Hidalgo
,
Autonomous University of Sinaloa
Publications
Order By: Most citations
Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives
López-Flores
1
,
Ramírez Márquez
2
,
González‐Campos
3
et al.
2024
Ind. Eng. Chem. Res.
Abstract
Show
42
0
10
0
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Cite
Incorporating deep learning predictions to assess the water-energy-food nexus security
Raya-Tapia
1
,
López-Flores
2
,
Ponce‐Ortega
3
2023
Environmental Science & Policy
34
0
9
0
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Cite
Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers
López-Flores
1
,
Ornelas-Guillén
2
,
Pérez-Nava
3
et al.
2024
Ind. Eng. Chem. Res.
Abstract
Show
25
0
6
0
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Cite
Solar photovoltaic panel production in Mexico: A novel machine learning approach
López-Flores
1
,
Ramírez Márquez
2
,
Rubio‐Castro
3
et al.
2024
Environmental Research
23
0
5
0
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Cite
Exploring clustering tools in process systems engineering: Innovations, applications, and future directions
López-Flores
1
,
Raya-Tapia
2
,
Ramírez Márquez
3
et al.
2025
Chemical Engineering Research and Design
3
0
4
0
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Cite
Development and Evaluation of Deep Learning Models for Forecasting Gas Production and Flowback Water in Shale Gas Reservoirs
López-Flores
1
,
Lira‐Barragán
2
,
Rubio‐Castro
3
et al.
2023
Ind. Eng. Chem. Res.
Abstract
Show
13
0
3
0
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Cite
Process Systems Engineering Tools for Optimization of Trained Machine Learning Models: Comparative and Perspective
López-Flores
1
,
Ramírez Márquez
2
,
Ponce‐Ortega
3
2024
Ind. Eng. Chem. Res.
Abstract
Show
18
0
3
0
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Incorporating machine learning for thermal engines modeling in industrial waste heat recovery
López-Flores
1
,
Rubio‐Castro
2
,
Ponce‐Ortega
3
2022
Chemical Engineering Research and Design
22
0
2
0
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Add to collection
Cite
1
2
3
4
5
6
7