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OpenAlex Citation Counts

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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:

Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine
Huaiyu Wang, Changwei Ji, Cheng Shi, et al.
Energy (2022) Vol. 248, pp. 123611-123611
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology
Dongli Tan, Yao Wu, Junshuai Lv, et al.
Energy (2022) Vol. 263, pp. 125869-125869
Closed Access | Times Cited: 177
Implementation of various bowl designs in an HPDI natural gas engine focused on performance and pollutant emissions
Jianhui Bao, Pingping Qu, Huaiyu Wang, et al.
Chemosphere (2022) Vol. 303, pp. 135275-135275
Closed Access | Times Cited: 99
Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm
Huaiyu Wang, Changwei Ji, Cheng Shi, et al.
Energy (2022) Vol. 263, pp. 125961-125961
Closed Access | Times Cited: 94
Enhancing combustion efficiency and reducing nitrogen oxide emissions from ammonia combustion: A comprehensive review
Jie Tian, Lu Wang, Yong Xiong, et al.
Process Safety and Environmental Protection (2024) Vol. 183, pp. 514-543
Closed Access | Times Cited: 73
Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering
Silvio Cesar de Lima Nogueira, Stephan Hennings Och, Luís Mauro Moura, et al.
Energy (2023) Vol. 280, pp. 128066-128066
Closed Access | Times Cited: 49
Effect of exhaust gas recirculation on knock of HCNG fueled spark ignition engine and prediction of knock intensity by improved particle swarm optimization-back propagation neural network
Muhammad Farhan, Tianhao Chen, Muhammad Ihsan Shahid, et al.
Applied Thermal Engineering (2025), pp. 125439-125439
Closed Access | Times Cited: 7
The effect of variable enhanced Miller cycle combined with EGR strategy on the cycle-by-cycle variations and performance of high compression ratio engines based on asynchronous valve opening strategy
Dongdong Jia, Junhao Qiao, Shuqian Wang, et al.
Energy (2025), pp. 135307-135307
Closed Access | Times Cited: 3
Developing gasification process of polyethylene waste by utilization of response surface methodology as a machine learning technique and multi-objective optimizer approach
Rezgar Hasanzadeh, Parisa Mojaver, Taher Azdast, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 15, pp. 5873-5886
Closed Access | Times Cited: 60
Combined experimental-numerical analysis of hydrogen as a combustion enhancer applied to wankel engine
Cheng Shi, Sen Chai, Liming Di, et al.
Energy (2022) Vol. 263, pp. 125896-125896
Closed Access | Times Cited: 49
Investigation on the potential of using carbon-free ammonia and hydrogen in small-scaled Wankel rotary engines
Huaiyu Wang, Changwei Ji, Du Wang, et al.
Energy (2023) Vol. 283, pp. 129166-129166
Closed Access | Times Cited: 41
Effects of hydrogen addition and exhaust gas recirculation on thermodynamics and emissions of ultra-high compression ratio spark ignition engine fueled with liquid methane
Shuai Wan, Feng Zhou, Jianqin Fu, et al.
Energy (2024) Vol. 306, pp. 132451-132451
Closed Access | Times Cited: 15
Performance, emissions and combustion analysis of hydrogen-enriched compressed natural gas spark ignition engine by optimized Gaussian process regression and neural network at low speed on different loads
Muhammad Farhan, Tianhao Chen, Anas Rao, et al.
Energy (2024) Vol. 302, pp. 131857-131857
Closed Access | Times Cited: 12
Effects of hydrogen injection strategies on the flow field and combustion characteristics in a hydrogen-fueled rotary engine with the swirl chamber
Changwei Ji, Shifan Wu, Yue Yi, et al.
Fuel (2024) Vol. 364, pp. 130951-130951
Closed Access | Times Cited: 11
Interpretable machine learning approach for exploring process-structure-property relationships in metal additive manufacturing
Qian Liu, Wenliang Chen, Vladislav Yakubov, et al.
Additive manufacturing (2024) Vol. 85, pp. 104187-104187
Open Access | Times Cited: 9
Analyzing the impact of hydrogen direct injection parameters on flow field and combustion characteristics in Wankel rotary engines
Huaiyu Wang, Xin Wang, Yunshan Ge, et al.
Energy (2025), pp. 135004-135004
Closed Access | Times Cited: 1
Impact of combustion chamber wall temperature on knock in HCNG-fueled SI engines: A regression-based knock intensity correlation
Muhammad Farhan, Muhammad Ihsan Shahid, Anas Rao, et al.
Applied Thermal Engineering (2025), pp. 126132-126132
Closed Access | Times Cited: 1
Application of machine learning algorithms for predicting the engine characteristics of a wheat germ oil–Hydrogen fuelled dual fuel engine
Femilda Josephin Joseph Shobana Bai, S. Kaliraj, Ankit Sonthalia, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 60, pp. 23308-23322
Closed Access | Times Cited: 34
Towards a comprehensive optimization of the intake characteristics for side ported Wankel rotary engines by coupling machine learning with genetic algorithm
Huaiyu Wang, Changwei Ji, Jinxin Yang, et al.
Energy (2022) Vol. 261, pp. 125334-125334
Closed Access | Times Cited: 33
Design of super-hard high-entropy ceramics coatings via machine learning
Xiaoqian Xu, Xiaobo Wang, Shaoyu Wu, et al.
Ceramics International (2022) Vol. 48, Iss. 21, pp. 32064-32072
Closed Access | Times Cited: 32
Investigation of intake closing timing on the flow field and combustion process in a small-scaled Wankel rotary engine under various engine speeds designed for the UAV application
Jinxin Yang, Huaiyu Wang, Changwei Ji, et al.
Energy (2023) Vol. 273, pp. 127147-127147
Closed Access | Times Cited: 21
Computational analysis of performances for a hydrogen enriched compressed natural gas engine’ by advanced machine learning algorithms
Anas Rao, Tianhao Chen, Yongzhen Liu, et al.
Fuel (2023) Vol. 347, pp. 128244-128244
Closed Access | Times Cited: 18
Identification, prediction and classification of hydrogen-fueled Wankel rotary engine knock by data-driven based on combustion parameters
Hao Meng, Qiang Zhan, Changwei Ji, et al.
Energy (2024) Vol. 308, pp. 133029-133029
Closed Access | Times Cited: 8
A review of the application development and key technologies of rotary engines under the background of carbon neutrality
Jianhui Bao, Lei Jian, Guohong Tian, et al.
Energy (2024) Vol. 311, pp. 133447-133447
Closed Access | Times Cited: 8
Study on ignition mode transition of methanol pre-chamber jet ignition system controlled by boundary condition parameters
Bin Wang, Fangxi Xie, Wei Hong, et al.
Fuel (2024) Vol. 372, pp. 132238-132238
Closed Access | Times Cited: 7
Machine learning predictions for carbon monoxide levels in urban environments
Mohammad Abdullah Almubaidin, Nur Shazwani binti Ismail, Sarmad Dashti Latif, et al.
Results in Engineering (2024) Vol. 22, pp. 102114-102114
Open Access | Times Cited: 6
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