Mohammad Mahdi Bejani

844 total citations · 1 hit paper
11 papers, 534 citations indexed

About

Mohammad Mahdi Bejani is a scholar working on Global and Planetary Change, Automotive Engineering and Atmospheric Science. According to data from OpenAlex, Mohammad Mahdi Bejani has authored 11 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 4 papers in Automotive Engineering and 4 papers in Atmospheric Science. Recurrent topics in Mohammad Mahdi Bejani's work include Climate variability and models (5 papers), Meteorological Phenomena and Simulations (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Mohammad Mahdi Bejani is often cited by papers focused on Climate variability and models (5 papers), Meteorological Phenomena and Simulations (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Mohammad Mahdi Bejani collaborates with scholars based in Iran, Australia and China. Mohammad Mahdi Bejani's co-authors include Mehdi Ghatee, Aida Hosseini Baghanam, Vahid Nourani, Chang‐Qing Ke, Sameh A. Kantoush, Yongqiang Zhang and Mekonnen Gebremichael and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Earth-Science Reviews.

In The Last Decade

Mohammad Mahdi Bejani

11 papers receiving 515 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 systematic review on overfitting control in shallow and deep neural networks

2021 334 citations Mohammad Mahdi Bejani, Mehdi Ghatee Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohammad Mahdi Bejani Iran	6	128	119	72	64	64	11	534
Жипенг Ли China	11	49 0.4×	118 1.0×	153 2.1×	19 0.3×	109 1.7×	84	583
Susu Xu United States	15	78 0.6×	148 1.2×	81 1.1×	11 0.2×	70 1.1×	53	712
Yung-Yao Chen Taiwan	15	49 0.4×	73 0.6×	364 5.1×	61 1.0×	68 1.1×	82	705
Zonglin Meng United States	10	263 2.1×	103 0.9×	220 3.1×	22 0.3×	53 0.8×	13	651
Jia Guo China	14	24 0.2×	121 1.0×	45 0.6×	130 2.0×	31 0.5×	61	1.0k
Jinglin Zhang China	18	104 0.8×	127 1.1×	199 2.8×	66 1.0×	9 0.1×	59	861
Bin Qi China	14	57 0.4×	78 0.7×	254 3.5×	20 0.3×	22 0.3×	100	736
Sheng Jiang China	13	58 0.5×	88 0.7×	31 0.4×	65 1.0×	11 0.2×	27	558
Ziqing Ma China	7	30 0.2×	203 1.7×	51 0.7×	13 0.2×	54 0.8×	14	689

Countries citing papers authored by Mohammad Mahdi Bejani

Since Specialization

Citations

This map shows the geographic impact of Mohammad Mahdi Bejani'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 Mohammad Mahdi Bejani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Mahdi Bejani more than expected).

Fields of papers citing papers by Mohammad Mahdi Bejani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Mahdi Bejani. 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 Mohammad Mahdi Bejani. The network helps show where Mohammad Mahdi Bejani may publish in the future.

Co-authorship network of co-authors of Mohammad Mahdi Bejani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Mahdi Bejani. A scholar is included among the top collaborators of Mohammad Mahdi Bejani 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 Mohammad Mahdi Bejani. Mohammad Mahdi Bejani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Nourani, Vahid, et al.. (2025). Bias correcting the precipitation dynamics of regional climate models via kernel-aware 2D convolutional-long short-term memory. Journal of Hydrology. 657. 133068–133068. 1 indexed citations

2.

Ghatee, Mehdi, et al.. (2024). An Ensemble of Deep Clustering Models With Autoencoders to Mine Travel Patterns From Smart Card Data. IEEE Transactions on Intelligent Transportation Systems. 25(12). 20960–20969. 1 indexed citations

3.

Baghanam, Aida Hosseini, Vahid Nourani, Mohammad Mahdi Bejani, & Chang‐Qing Ke. (2024). Improving the statistical downscaling performance of climatic parameters with convolutional neural networks. Journal of Water and Climate Change. 15(4). 1772–1796. 6 indexed citations

4.

Baghanam, Aida Hosseini, et al.. (2024). A systematic review of predictor screening methods for downscaling of numerical climate models. Earth-Science Reviews. 253. 104773–104773. 6 indexed citations

5.

Nourani, Vahid, et al.. (2023). Assessing the Drought Vulnerability of Alberta: A Deep Learning Approach for Hydro-Climatological Analysis. SHILAP Revista de lepidopterología. 309–309. 2 indexed citations

6.

Bejani, Mohammad Mahdi, et al.. (2023). Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications. SHILAP Revista de lepidopterología. 291–291. 2 indexed citations

7.

Bejani, Mohammad Mahdi & Mehdi Ghatee. (2021). Least auxiliary loss-functions with impact growth adaptation (Laliga) for convolutional neural networks. Neurocomputing. 453. 413–427. 4 indexed citations

8.

Bejani, Mohammad Mahdi & Mehdi Ghatee. (2021). A systematic review on overfitting control in shallow and deep neural networks. Artificial Intelligence Review. 54(8). 6391–6438. 334 indexed citations breakdown →

9.

Bejani, Mohammad Mahdi & Mehdi Ghatee. (2020). Theory of adaptive SVD regularization for deep neural networks. Neural Networks. 128. 33–46. 22 indexed citations

10.

Bejani, Mohammad Mahdi & Mehdi Ghatee. (2019). Convolutional Neural Network With Adaptive Regularization to Classify Driving Styles on Smartphones. IEEE Transactions on Intelligent Transportation Systems. 21(2). 543–552. 53 indexed citations

11.

Bejani, Mohammad Mahdi & Mehdi Ghatee. (2018). A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data. Transportation Research Part C Emerging Technologies. 89. 303–320. 103 indexed citations

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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