Abdallah Chehade

1.4k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Abdallah Chehade is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Abdallah Chehade has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Automotive Engineering, 17 papers in Control and Systems Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Abdallah Chehade's work include Advanced Battery Technologies Research (20 papers), Reliability and Maintenance Optimization (12 papers) and Fault Detection and Control Systems (11 papers). Abdallah Chehade is often cited by papers focused on Advanced Battery Technologies Research (20 papers), Reliability and Maintenance Optimization (12 papers) and Fault Detection and Control Systems (11 papers). Abdallah Chehade collaborates with scholars based in United States, Saudi Arabia and Germany. Abdallah Chehade's co-authors include Zunya Shi, Ala A. Hussein, Kaibo Liu, Changyue Song, Youngki Kim, N. Duffie, M Gagnon, Monique Lortie, Xi Zhang and Abhinav Saxena and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Abdallah Chehade

42 papers receiving 1.1k citations

Hit Papers

A dual-LSTM framework combining change point detection an... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. A dual-LSTM framework combining change point detection and remaining useful life prediction
    2020 255 citations Zunya Shi, Abdallah Chehade Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdallah Chehade United States 15 461 416 351 330 138 48 1.1k
Shengkui Zeng China 19 377 0.8× 451 1.1× 390 1.1× 508 1.5× 164 1.2× 100 1.5k
Dong Zhou China 12 282 0.6× 103 0.2× 143 0.4× 71 0.2× 121 0.9× 52 807
Zhengxin Zhang China 15 491 1.1× 222 0.5× 104 0.3× 778 2.4× 241 1.7× 49 1.2k
Francesca Mangili Switzerland 14 268 0.6× 56 0.1× 73 0.2× 161 0.5× 119 0.9× 46 743
Adam Thelen United States 11 273 0.6× 266 0.6× 254 0.7× 112 0.3× 171 1.2× 23 843
Beitong Zhou China 9 482 1.0× 301 0.7× 291 0.8× 189 0.6× 223 1.6× 14 1.1k
Jianbin Guo China 14 220 0.5× 412 1.0× 357 1.0× 372 1.1× 79 0.6× 68 958
Erik Coelingh Sweden 16 698 1.5× 1.0k 2.4× 225 0.6× 284 0.9× 62 0.4× 30 1.4k
Kamran Javed Pakistan 14 550 1.2× 123 0.3× 269 0.8× 205 0.6× 331 2.4× 36 1.2k

Countries citing papers authored by Abdallah Chehade

Since Specialization
Citations

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

Fields of papers citing papers by Abdallah Chehade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdallah Chehade. 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 Abdallah Chehade. The network helps show where Abdallah Chehade may publish in the future.

Co-authorship network of co-authors of Abdallah Chehade

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

All Works

20 of 20 papers shown
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Chehade, Abdallah, et al.. (2025). Uncertainty-aware deep learning with physics-informed bayesian sampling for lithium-ion battery prognostics. Applied Energy. 402. 126880–126880.
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Chehade, Abdallah, et al.. (2025). Deep auto-encoded Conditional Gaussian Mixture Model for warranty claims forecasting. Reliability Engineering & System Safety. 263. 111230–111230.
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Chehade, Abdallah, et al.. (2024). Selective Deep Autoencoder for Unsupervised Feature Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12322–12330. 6 indexed citations
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Chehade, Abdallah, et al.. (2024). Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review. Journal of Intelligent Manufacturing. 36(6). 3717–3739. 5 indexed citations
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Chehade, Abdallah, et al.. (2023). Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles. International Journal of Rail Transportation. 12(4). 604–625. 8 indexed citations
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Babakmehr, Mohammad, et al.. (2023). Data‐driven framework for warranty claims forecasting with an application for automotive components. Engineering Reports. 6(5). 3 indexed citations
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Chehade, Abdallah, et al.. (2022). A controllable deep transfer learning network with multiple domain adaptation for battery state-of-charge estimation. Applied Energy. 312. 118726–118726. 85 indexed citations
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Chehade, Abdallah, et al.. (2021). Sparse Autoencoded Long Short-Term Memory Network for State-of-Charge Estimations. 474–478. 5 indexed citations
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Chehade, Abdallah & Ala A. Hussein. (2021). A Multioutput Convolved Gaussian Process for Capacity Forecasting of Li-Ion Battery Cells. IEEE Transactions on Power Electronics. 37(1). 896–909. 30 indexed citations
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Shi, Zunya & Abdallah Chehade. (2020). A dual-LSTM framework combining change point detection and remaining useful life prediction. Reliability Engineering & System Safety. 205. 107257–107257. 255 indexed citations breakdown →
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Chehade, Abdallah, et al.. (2020). A Cycle-based Recurrent Neural Network for State-of-Charge Estimation of Li-ion Battery Cells. 584–587. 7 indexed citations
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Chehade, Abdallah & Ala A. Hussein. (2020). A Collaborative Gaussian Process Regression Model for Transfer Learning of Capacity Trends Between Li-Ion Battery Cells. IEEE Transactions on Vehicular Technology. 69(9). 9542–9552. 45 indexed citations
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Chehade, Abdallah, Changyue Song, Kaibo Liu, Abhinav Saxena, & Xi Zhang. (2018). A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes. Journal of Quality Technology. 50(2). 150–165. 65 indexed citations
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Chehade, Abdallah & Kaibo Liu. (2018). Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer’s Disease. IEEE Transactions on Automation Science and Engineering. 16(1). 192–205. 13 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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