Mehdi Khashei

3.2k total citations · 2 hit papers
71 papers, 2.4k citations indexed

About

Mehdi Khashei is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mehdi Khashei has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Management Science and Operations Research, 34 papers in Electrical and Electronic Engineering and 29 papers in Artificial Intelligence. Recurrent topics in Mehdi Khashei's work include Stock Market Forecasting Methods (35 papers), Energy Load and Power Forecasting (33 papers) and Forecasting Techniques and Applications (25 papers). Mehdi Khashei is often cited by papers focused on Stock Market Forecasting Methods (35 papers), Energy Load and Power Forecasting (33 papers) and Forecasting Techniques and Applications (25 papers). Mehdi Khashei collaborates with scholars based in Iran, Canada and Malaysia. Mehdi Khashei's co-authors include Mehdi Bijari, Zahra Hajirahimi, Seyed Reza Hejazi, Ali Zeinal Hamadani, Mohammad R. Sabzalian, Mostafa Ghaderian, Mahdi Nili‐Ahmadabadi, Mehdi Tavakoli, Man Yeong Ha and Mehdi Mahnam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy.

In The Last Decade

Mehdi Khashei

65 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

2010 607 citations Mehdi Khashei, Mehdi Bijari Applied Soft Computing profile →
An artificial neural network (p,d,q) model for timeseries forecasting

2009 603 citations Mehdi Khashei, Mehdi Bijari profile →

Peers

Countries citing papers authored by Mehdi Khashei

Since Specialization

Citations

This map shows the geographic impact of Mehdi Khashei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mehdi Khashei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Khashei more than expected).

Fields of papers citing papers by Mehdi Khashei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mehdi Khashei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mehdi Khashei. The network helps show where Mehdi Khashei may publish in the future.

Co-authorship network of co-authors of Mehdi Khashei

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Khashei. A scholar is included among the top collaborators of Mehdi Khashei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehdi Khashei. Mehdi Khashei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Mean Weighted Squared Error-based Neural Classifier for Intelligent Pattern Recognition in Smart Grids 2025 ·International Journal of Electrical Power & Energy Systems ·Mehdi Khashei, (unknown), (unknown)	3
2	Enhancing power grid stability with a hybrid framework for wind power forecasting: Integrating Kalman Filtering, Deep Residual Learning, and Bidirectional LSTM 2025 ·Energy ·(unknown), Hamed H. Aly, Mehdi Khashei	4
3	Loss functions in classification: An comprehensive overview and comparative study 2025 ·Applied Soft Computing ·(unknown), Mehdi Khashei, (unknown)	0
4	Wind power forecasting: A hybrid multi-layer perceptron framework with adaptive noise reduction and error correction 2025 ·Computers & Electrical Engineering ·(unknown), Mehdi Khashei, Ali Zeinal Hamadani	1
5	Recursive deep learning with multi-scale attention for energy demand dynamics 2025 ·Advanced Engineering Informatics ·(unknown), Mehdi Khashei	0
6	A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction 2024 ·Wireless Personal Communications ·Mehdi Khashei, (unknown), (unknown)	4
7	Survey of the loss function in classification models: Comparative study in healthcare and medicine 2024 ·Multimedia Tools and Applications ·(unknown), Mehdi Khashei	3
8	Discrete learning-based intelligent methodology for heart disease diagnosis 2023 ·Biomedical Signal Processing and Control ·Mehdi Khashei, (unknown)	4
9	Etemadi reliability-based multi-layer perceptrons for classification and forecasting 2023 ·Information Sciences ·(unknown), Mehdi Khashei, (unknown)	8
10	Principal component-based hybrid model for time series forecasting 2023 ·International Journal of Information Technology ·Zahra Hajirahimi, Mehdi Khashei, Ali Zeinal Hamadani	7
11	Influence of cost/loss functions on classification rate: A comparative study across diverse classifiers and domains 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), Mehdi Khashei	7
12	A Novel Discrete Deep Learning–Based Cancer Classification Methodology 2023 ·Cognitive Computation ·(unknown), Mehdi Khashei, (unknown)	2
13	A novel discrete learning-based intelligent methodology for breast cancer classification purposes 2023 ·Artificial Intelligence in Medicine ·Mehdi Khashei, (unknown)	10
14	Stock turning points classification using a novel discrete learning-based methodology 2023 ·Soft Computing ·Mehdi Khashei, (unknown), (unknown)	1
15	A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients 2022 ·BMC Medical Informatics and Decision Making ·(unknown), Mehdi Khashei, Mehdi Mahnam, (unknown)	7
16	Accuracy versus reliability-based modelling approaches for medical decision making 2021 ·Computers in Biology and Medicine ·(unknown), Mehdi Khashei	14
17	Weighted MLP-ARIMA series hybrid model for time series forecasting 2020 ·Industrial Engineering and Management ·Zahra Hajirahimi, Mehdi Khashei	5
18	Improving the performance of financial forecasting using different combination architectures of ARIMA and ANN models 2016 ·Industrial Engineering and Management ·Zahra Hajirahimi, Mehdi Khashei	2
19	Comparison of Four Interval ARIMA-base Time Series Methods for Exchange Rate Forecasting 2015 ·Mehdi Khashei, (unknown), Mehdi Bijari	11
20	WHICH METHODOLOGY IS BETTER FOR COMBINING LINEAR AND NONLINEAR MODELS FOR TIME SERIES FORECASTING 2011 ·Journal of industrial and systems engineering. ·Mehdi Khashei, (unknown)	16

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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