Adamu Yebi

719 total citations
22 papers, 599 citations indexed

About

Adamu Yebi is a scholar working on Mechanical Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Adamu Yebi has authored 22 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 4 papers in Automotive Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Adamu Yebi's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (12 papers), Advanced Thermodynamic Systems and Engines (9 papers) and Refrigeration and Air Conditioning Technologies (5 papers). Adamu Yebi is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (12 papers), Advanced Thermodynamic Systems and Engines (9 papers) and Refrigeration and Air Conditioning Technologies (5 papers). Adamu Yebi collaborates with scholars based in United States, Brazil and China. Adamu Yebi's co-authors include Bin Xu, Zoran Filipi, Dhruvang Rathod, Mark Hoffman, Simona Onori, Xueyu Zhang, Xiaoya Li, Beshah Ayalew, Xiaobing Liu and Xiaobing Liu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and American Journal of Obstetrics and Gynecology.

In The Last Decade

Adamu Yebi

22 papers receiving 586 citations

Peers

Adamu Yebi

EEE

SNP

RESE

Dhruvang Rathod United States

Wilhelm Tegethoff Germany

Giuseppe Leo Guizzi Italy

Romano Giglioli Italy

Özge Yetik Türkiye

Wissam Bou Nader France

Martin Ryhl Kærn Denmark

Carlo Villante Italy

Xianfei Huang China

Wenchao Zhu China

Dhruvang Rathod United States

Adamu Yebi

304 ×0.8

293 ×1.6

EEE

300 ×1.7

115 ×0.9

SNP

55 ×0.8

RESE

Citations per year, relative to Adamu Yebi Adamu Yebi (= 1×) peers Dhruvang Rathod

Countries citing papers authored by Adamu Yebi

Since Specialization

Citations

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

Fields of papers citing papers by Adamu Yebi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adamu Yebi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Bin, Dhruvang Rathod, Adamu Yebi, & Zoran Filipi. (2020). Real-time realization of Dynamic Programming using machine learning methods for IC engine waste heat recovery system power optimization. Applied Energy. 262. 114514–114514. 33 indexed citations

Xu, Bin, Adamu Yebi, Dhruvang Rathod, et al.. (2020). Experimental Validation of Nonlinear Model Predictive Control for a Heavy-Duty Diesel Engine Waste Heat Recovery System. Journal of Dynamic Systems Measurement and Control. 142(5). 2 indexed citations

Xu, Bin, Dhruvang Rathod, Adamu Yebi, & Zoran Filipi. (2019). A comparative analysis of real-time power optimization for organic Rankine cycle waste heat recovery systems. Applied Thermal Engineering. 164. 114442–114442. 32 indexed citations

Xu, Bin, Dhruvang Rathod, Adamu Yebi, et al.. (2019). A comprehensive review of organic rankine cycle waste heat recovery systems in heavy-duty diesel engine applications. Renewable and Sustainable Energy Reviews. 107. 145–170. 142 indexed citations

Xu, Bin, Dhruvang Rathod, Adamu Yebi, et al.. (2019). A comparative analysis of dynamic evaporator models for organic Rankine cycle waste heat recovery systems. Applied Thermal Engineering. 165. 114576–114576. 21 indexed citations

Rathod, Dhruvang, Bin Xu, Adamu Yebi, et al.. (2019). A Look-Ahead Model Predictive Optimal Control Strategy of a Waste Heat Recovery-Organic Rankine Cycle for Automotive Application. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations

Xu, Bin, Dhruvang Rathod, Adamu Yebi, et al.. (2019). Parametric study on reinforcement learning optimized energy management strategy for a hybrid electric vehicle. Applied Energy. 259. 114200–114200. 155 indexed citations

Xu, Bin, Adamu Yebi, Mark Hoffman, & Simona Onori. (2018). A Rigorous Model Order Reduction Framework for Waste Heat Recovery Systems Based on Proper Orthogonal Decomposition and Galerkin Projection. IEEE Transactions on Control Systems Technology. 28(2). 635–643. 9 indexed citations

Xu, Bin, Dhruvang Rathod, Adamu Yebi, et al.. (2017). Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications. Applied Energy. 205. 260–279. 61 indexed citations

10.

Yebi, Adamu, et al.. (2017). Estimation and Predictive Control of a Parallel Evaporator Diesel Engine Waste Heat Recovery System. IEEE Transactions on Control Systems Technology. 27(1). 282–295. 27 indexed citations

11.

Xu, Bin, Adamu Yebi, Simona Onori, et al.. (2017). Transient Power Optimization of an Organic Rankine Cycle Waste Heat Recovery System for Heavy-Duty Diesel Engine Applications. SAE International journal of alternative powertrains. 6(1). 25–33. 21 indexed citations

12.

Yebi, Adamu, Bin Xu, Xiaobing Liu, et al.. (2016). Nonlinear Model Predictive Control Strategies for a Parallel Evaporator Diesel Engine Waste Heat Recovery System. 18 indexed citations

13.

Yebi, Adamu & Beshah Ayalew. (2016). Model-based optimal control of layering time for layer-by-layer UV processing of resin infused laminates. 827–832. 4 indexed citations

14.

Yebi, Adamu & Beshah Ayalew. (2016). Hybrid Modeling and Robust Control for Layer-by-Layer Manufacturing Processes. IEEE Transactions on Control Systems Technology. 25(2). 550–562. 6 indexed citations

15.

Xu, Bin, Adamu Yebi, Simona Onori, et al.. (2016). Power Maximization of a Heavy Duty Diesel Organic Rankine Cycle Waste Heat Recovery System Utilizing Mechanically Coupled and Fully Electrified Turbine Expanders. 10 indexed citations

16.

Yebi, Adamu & Beshah Ayalew. (2015). A hybrid modeling and optimal control framework for layer-by-layer radiative processing of thick sections. 3619–3624. 5 indexed citations

17.

Yebi, Adamu & Beshah Ayalew. (2014). Optimal Layering Time Control for Stepped-Concurrent Radiative Curing Process. Journal of Manufacturing Science and Engineering. 137(1). 17 indexed citations

18.

Yebi, Adamu, Beshah Ayalew, & Satadru Dey. (2014). Observer Design for State Estimation of UV Curing Processes. 4 indexed citations

19.

Yebi, Adamu & Beshah Ayalew. (2013). Feedback compensation of the in-domain attenuation of inputs in diffusion processes. 23. 2092–2097. 3 indexed citations

20.

Yebi, Adamu. (2011). Techno-economic Assessment of Wind Energy to Supply the Demand of Electricity for a Residential Community in Ethiopia. American Journal of Obstetrics and Gynecology. 55(5). 891–3. 1 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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