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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:

Investigation of ANN and SVM based on limited samples for performance and emissions prediction of a CRDI-assisted marine diesel engine
Xiaoxiao Niu, Chuanlei Yang, Hechun Wang, et al.
Applied Thermal Engineering (2016) Vol. 111, pp. 1353-1364
Closed Access | Times Cited: 132

Showing 26-50 of 132 citing articles:

Marine diesel engine ANN modelling with multiple output for complete engine performance map
Joseba Castresana, Gorka Gabiña, Leopoldo Martín, et al.
Fuel (2022) Vol. 319, pp. 123873-123873
Closed Access | Times Cited: 29
Performance improvement of compression ignition engine fueled by second generation biodiesel fuel blends enriched with ZnO nanoparticles: Experimental study and Gaussian process regression AI modeling
Mohammed El-Adawy, Mohamed E. Zayed, Bashar Shboul, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 1372-1385
Closed Access | Times Cited: 7
Experimental study of diesel engine performance and emissions from microalgae fuel blends with SiO2 nanoadditives: RSM and Taguchi optimization
Chandrabhushan Tiwari, Gaurav Dwivedi, Tikendra Nath Verma
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 7
Effects of biodiesel-ethanol-diesel blends on the performance indicators of a diesel engine: A study by response surface modeling
Golmohammad Khoobbakht, Mahmoud Karimi, Kamran Kheiralipour
Applied Thermal Engineering (2018) Vol. 148, pp. 1385-1394
Closed Access | Times Cited: 58
Multi-objective online optimization of a marine diesel engine using NSGA-II coupled with enhancing trained support vector machine
Xiaoxiao Niu, Hechun Wang, Song Hu, et al.
Applied Thermal Engineering (2018) Vol. 137, pp. 218-227
Closed Access | Times Cited: 56
Automation of multi-fault diagnosing of centrifugal pumps using multi-class support vector machine with vibration and motor current signals in frequency domain
Janani Shruti Rapur, Rajiv Tiwari
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2018) Vol. 40, Iss. 6
Open Access | Times Cited: 53
Modeling and optimization of a light-duty diesel engine at high altitude with a support vector machine and a genetic algorithm
Jun Wang, Lizhong Shen, Yuhua Bi, et al.
Fuel (2020) Vol. 285, pp. 119137-119137
Closed Access | Times Cited: 45
Gene expression programming-based model prediction of performance and emission characteristics of a diesel engine fueled with linseed oil biodiesel/diesel blends: An artificial intelligence approach
Prabhakar Sharma
Energy Sources Part A Recovery Utilization and Environmental Effects (2020), pp. 1-15
Closed Access | Times Cited: 44
Utilization of a deep learning-based fuel consumption model in choosing a liner shipping route for container ships in Asia
Linh Bui-Duy, Ngoc Vu-Thi-Minh
The Asian Journal of Shipping and Logistics (2020) Vol. 37, Iss. 1, pp. 1-11
Open Access | Times Cited: 41
Experiment analysis and computational optimization of the Atkinson cycle gasoline engine through NSGA Ⅱ algorithm using machine learning
Ji Jun Tong, Yangyang Li, Jinping Liu, et al.
Energy Conversion and Management (2021) Vol. 238, pp. 113871-113871
Closed Access | Times Cited: 39
A Novel Fault Detection, Identification and Prediction Approach for Autonomous Vehicle Controllers Using SVM
Liam Biddle, Saber Fallah
Automotive Innovation (2021) Vol. 4, Iss. 3, pp. 301-314
Open Access | Times Cited: 38
Development of cyclic variation prediction model of the gasoline and n-butanol rotary engines with hydrogen enrichment
Huaiyu Wang, Changwei Ji, Cheng Shi, et al.
Fuel (2021) Vol. 299, pp. 120891-120891
Closed Access | Times Cited: 33
Data-driven prediction of flame temperature and pollutant emission in distributed combustion
Rishi Roy, Ashwani K. Gupta
Applied Energy (2022) Vol. 310, pp. 118502-118502
Open Access | Times Cited: 23
Prediction and decision of free-piston linear generator on starting process for multi-fuel adaptability
Yidi Wei, Zhengxing Zuo, Chang Liu, et al.
Applied Thermal Engineering (2024) Vol. 248, pp. 123354-123354
Closed Access | Times Cited: 6
Comparative evaluation of intelligent regression algorithms for performance and emissions prediction of a hydrogen-enriched Wankel engine
Cheng Shi, Changwei Ji, Huaiyu Wang, et al.
Fuel (2020) Vol. 290, pp. 120005-120005
Closed Access | Times Cited: 39
Prediction and optimization of dual-fuel marine engine emissions and performance using combined ANN with PSO algorithms
Cheng Ma, Chong Yao, Enzhe Song, et al.
International Journal of Engine Research (2021) Vol. 23, Iss. 4, pp. 560-576
Closed Access | Times Cited: 29
DPGCN Model: A Novel Fault Diagnosis Method for Marine Diesel Engines Based on Imbalanced Datasets
Ruihan Wang, Hui Chen, Cong Guan
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 22
Prediction and optimization of emission in an agricultural harvest engine with biodiesel-diesel blends by a method of ANN and CMA-ES
Bowen Zheng, Jy Chen, Zhenghe Song, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106903-106903
Closed Access | Times Cited: 21
Data-driven modeling of energy-exergy in marine engines by supervised ANNs based on fuel type and injection angle classification
Hadi Taghavifar, Lokukaluge P. Perera
Process Safety and Environmental Protection (2023) Vol. 172, pp. 546-561
Open Access | Times Cited: 11
A neural network approach on forecasting spark duration effect on in-cylinder performance of a large bore compression ignition engine fueled with propane direct injection
Cahyani Windarto, Ocktaeck Lim
Fuel Processing Technology (2024) Vol. 257, pp. 108088-108088
Open Access | Times Cited: 4
A correlation-based model order reduction approach for a diesel engine NOx and brake mean effective pressure dynamic model using machine learning
Armin Norouzi, Masoud Aliramezani, Charles Robert Koch
International Journal of Engine Research (2020) Vol. 22, Iss. 8, pp. 2654-2672
Closed Access | Times Cited: 31
Predicting motor oil condition using artificial neural networks and principal component analysis
João Antunes Rodrigues, Inês Costa, João Farinha, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2020) Vol. 22, Iss. 3, pp. 440-448
Open Access | Times Cited: 29
Experimental Investigation and Prediction of Vibrational Characteristics in Diesel Engines with Diphenylamine Antioxidant and Ceria Nanoparticle Enriched Biodiesel
Vijay Kumar, Akhilesh Kumar Choudhary
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access
Fault classification in a fuel injection system of a marine diesel engine using machine learning
A. Costa, Dionísio Henrique Carvalho de Sá Só Martins, Guilherme Santoro‐Lopes, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 4
Closed Access
Strategy for Fault Diagnosis on Train Plug Doors Using Audio Sensors
Yongkui Sun, Guo Xie, Yuan Cao, et al.
Sensors (2018) Vol. 19, Iss. 1, pp. 3-3
Open Access | Times Cited: 29

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