scispace - formally typeset
M

Muhammad Imran Khan

Researcher at University of Agriculture, Faisalabad

Publications -  160
Citations -  1696

Muhammad Imran Khan is an academic researcher from University of Agriculture, Faisalabad. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 15, co-authored 116 publications receiving 775 citations. Previous affiliations of Muhammad Imran Khan include Islamia University & Riphah International University.

Papers
More filters
Journal ArticleDOI

A resilience evaluation method for a combined regional agricultural water and soil resource system based on Weighted Mahalanobis distance and a Gray-TOPSIS model

TL;DR: In this article, a technique for the Order of Preference by Similarity to an Ideal Solution (TOPSIS) evaluation model based on weighted Mahalanobis distance and gray relational analysis was proposed to evaluate the resilience of a combined regional agricultural water and soil resource (CRAWSR) system.
Journal ArticleDOI

Random forest regression evaluation model of regional flood disaster resilience based on the whale optimization algorithm

TL;DR: The proposed WOA-RFR model can be used to perform regional disaster resilience evaluation, provide stable technical support and establish a scientific basis for regional disaster prevention and mitigation to ensure regional production safety and sustainable development.
Journal ArticleDOI

Phytotoxicity of petroleum hydrocarbons: Sources, impacts and remediation strategies.

TL;DR: In this article, the authors highlighted the sources of petroleum hydrocarbons contamination, factors affecting the accumulation in soil, mechanisms of uptake, translocation and potential toxic effects of PHs on plants.
Journal ArticleDOI

Development and in-vitro characterization of sorbitan monolaurate and poloxamer 184 based niosomes for oral delivery of diacerein

TL;DR: Drug release studies showed improved dissolution profiles of all the niosomal formulations compared to pure diacerein, and mixed system formulations showed better entrapment efficiencies, with the best composition the entrapped efficiency being 90.5%.