AIChE Journal

Papers
(The H4-Index of AIChE Journal is 32. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Cation–dipole interaction that creates ordered ion channels in an anion exchange membrane for fastOHconduction64
High‐performance adsorptive desulfurization by ternary hybrid boron carbon nitride aerogel63
Conventional anddata‐drivenmodeling of filtered drag, heat transfer, and reaction rate ingas–particleflows55
Promoted absorption of CO at high temperature by cuprous‐based ternary deep eutectic solvents54
Taylor‐Couette reactor: Principles, design, and applications52
A hybrid science‐guided machine learning approach for modeling chemical processes: A review52
Two antagonistic effects of flow/mixing on reactive polymer blending51
Remarkable NH3 absorption in metal‐based deep eutectic solvents by multiple coordination and hydrogen‐bond interaction50
Chelation‐activated multiple‐site reversible chemical absorption of ammonia in ionic liquids50
Neural recommender system for the activity coefficient prediction andUNIFACmodel extension of ionicliquid‐solutesystems49
In situ coupling of lignin‐derived carbon‐encapsulated CoFe‐CoxN heterojunction for oxygen evolution reaction48
PtZn intermetallic nanoalloy encapsulated in silicalite‐1 for propane dehydrogenation48
Optimal nanocone geometry for water flow46
AI models for correlation of physical properties in system of 1DMA2P‐CO2‐H2O46
In situ encapsulated subnanometric CoO clusters within silicalite‐1 zeolite for efficient propane dehydrogenation46
Coupling particle scale model and SuperDEM‐CFD for multiscale simulation of biomass pyrolysis in a packed bed pyrolyzer44
Transport phenomena in electrolyte solutions: Nonequilibrium thermodynamics and statistical mechanics43
Coupling smartphone and CRISPR–Cas12a for digital and multiplexed nucleic acid detection41
State of the art of ionic liquid‐modified adsorbents forCO2capture and separation41
Machine learning modeling and predictive control of nonlinear processes using noisy data41
Application of offset‐free Koopman‐based model predictive control to a batch pulp digester40
Comprehensive reaction kinetics model of CO2 absorption into 1‐dimethylamino‐2‐propanol solution40
Ion‐“distillation” for isolating lithium from lake brine39
Next generation pure component property estimation models: With and without machine learning techniques38
Operability and control in process intensification and modular design: Challenges and opportunities38
Machine learning‐based atom contribution method for the prediction of surface charge density profiles and solvent design35
Generic AI models for mass transfer coefficient prediction in amine‐based CO2 absorber, Part II: RBFNN and RF model35
Ultramicroporous carbons featuring sub‐Ångstrom tunable apertures for the selective separation of light hydrocarbon34
Modular reactors with electrical resistance heating for hydrocarbon cracking and other endothermic reactions34
Ultramicroporous carbon granules with narrow pore size distribution for efficient CH4 separation from coal‐bed gases34
Integrated ionic liquid and rate‐based absorption process design for gas separation: Global optimization using hybrid models33
Separation ofCH4/N2by an ultra‐stable metal–organic framework with the highest breakthrough selectivity32
Dust cloud explosion characteristics and mechanisms in MgH2‐based hydrogen storage materials32
Online learning‐based predictive control of crystallization processes under batch‐to‐batch parametric drift32
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