OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Comprehensive Performance Assessment of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine: Energy, Thermoeconomic and Environment
Xu Ping, Baofeng Yao, Hongguang Zhang, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 7832-7832
Open Access | Times Cited: 5
Xu Ping, Baofeng Yao, Hongguang Zhang, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 7832-7832
Open Access | Times Cited: 5
Showing 5 citing articles:
Machine learning-based multi-objective optimization and thermodynamic evaluation of organic Rankine cycle (ORC) system for vehicle engine under road condition
Chengda Xing, Xu Ping, Ruilian Guo, et al.
Applied Thermal Engineering (2023) Vol. 231, pp. 120904-120904
Closed Access | Times Cited: 13
Chengda Xing, Xu Ping, Ruilian Guo, et al.
Applied Thermal Engineering (2023) Vol. 231, pp. 120904-120904
Closed Access | Times Cited: 13
Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Energy (2023) Vol. 275, pp. 127519-127519
Closed Access | Times Cited: 9
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Energy (2023) Vol. 275, pp. 127519-127519
Closed Access | Times Cited: 9
An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106744-106744
Closed Access | Times Cited: 9
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106744-106744
Closed Access | Times Cited: 9
Co-optimizing NOx emission and power output of a natural gas engine-ORC combined system through neural networks and genetic algorithms
Chongyao Wang, Xin Wang, Huaiyu Wang, et al.
Energy (2023) Vol. 289, pp. 130072-130072
Closed Access | Times Cited: 8
Chongyao Wang, Xin Wang, Huaiyu Wang, et al.
Energy (2023) Vol. 289, pp. 130072-130072
Closed Access | Times Cited: 8
Ensemble learning-based nonlinear time series prediction and dynamic multi-objective optimization of organic rankine cycle (ORC) under actual driving cycle
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106979-106979
Closed Access | Times Cited: 1
Xu Ping, Fubin Yang, Hongguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106979-106979
Closed Access | Times Cited: 1
