Ronay Ak

1.4k total citations
23 papers, 914 citations indexed

About

Ronay Ak is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Information Systems. According to data from OpenAlex, Ronay Ak has authored 23 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Information Systems. Recurrent topics in Ronay Ak's work include Fault Detection and Control Systems (4 papers), Recommender Systems and Techniques (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). Ronay Ak is often cited by papers focused on Fault Detection and Control Systems (4 papers), Recommender Systems and Techniques (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). Ronay Ak collaborates with scholars based in United States, France and Türkiye. Ronay Ak's co-authors include Enrico Zio, Michael Sharp, Thomas Hedberg, Olga Fink, Max Ferguson, Kincho H. Law, Valeria Vitelli, Yung-Tsun Tina Lee, Gabriel de Souza Pereira Moreira and Jeong Min Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Ronay Ak

21 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronay Ak United States	13	269	255	233	131	125	23	914
Jongpil Jeong South Korea	19	311 1.2×	216 0.8×	298 1.3×	172 1.3×	131 1.0×	209	1.3k
Koorush Ziarati Iran	15	381 1.4×	419 1.6×	142 0.6×	69 0.5×	63 0.5×	47	1.1k
Weiting Zhang China	14	152 0.6×	278 1.1×	269 1.2×	92 0.7×	92 0.7×	46	1.2k
Symone Gomes Soares Alcalá Brazil	9	296 1.1×	263 1.0×	107 0.5×	141 1.1×	52 0.4×	24	1.1k
Benjamı́n Barán Paraguay	19	192 0.7×	467 1.8×	485 2.1×	51 0.4×	344 2.8×	106	1.7k
Nyoman Gunantara Indonesia	6	82 0.3×	140 0.5×	141 0.6×	93 0.7×	86 0.7×	32	804
Ping Lou China	18	581 2.2×	107 0.4×	133 0.6×	187 1.4×	93 0.7×	98	1.1k
Valeria Vittorini Italy	18	361 1.3×	169 0.7×	81 0.3×	180 1.4×	201 1.6×	60	1.1k
Ramin Rajabioun Türkiye	7	102 0.4×	442 1.7×	287 1.2×	116 0.9×	47 0.4×	13	1.2k
Min Huang China	15	234 0.9×	135 0.5×	103 0.4×	90 0.7×	36 0.3×	104	879

Countries citing papers authored by Ronay Ak

Since Specialization

Citations

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

Fields of papers citing papers by Ronay Ak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronay Ak

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

All Works

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20 of 20 papers shown

Ak, Ronay, et al.. (2022). Building and Deploying a Multi-Stage Recommender System with Merlin. 632–635. 7 indexed citations

Ak, Ronay, et al.. (2022). Training and Deploying Multi-Stage Recommender Systems. 706–707. 1 indexed citations

Liu, Jiwei, et al.. (2022). A Diverse Models Ensemble for Fashion Session-Based Recommendation. 10–17. 1 indexed citations

Moreira, Gabriel de Souza Pereira, et al.. (2021). Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. 143–153. 98 indexed citations

Moreira, Gabriel de Souza Pereira, et al.. (2021). End-to-End Session-Based Recommendation on GPU. 831–833. 3 indexed citations

Ak, Ronay, et al.. (2020). A time-based model and GIS framework for assessing hazardous materials transportation risk in urban areas. Journal of Transport & Health. 19. 100943–100943. 23 indexed citations

Ak, Ronay, et al.. (2018). A survey on knowledge transfer for manufacturing data analytics. Computers in Industry. 104. 116–130. 39 indexed citations

Sharp, Michael, Ronay Ak, & Thomas Hedberg. (2018). A survey of the advancing use and development of machine learning in smart manufacturing. Journal of Manufacturing Systems. 48. 170–179. 190 indexed citations

Nannapaneni, Saideep, Anantha Narayanan, Ronay Ak, et al.. (2018). Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing. PubMed. 2(1). 87–113. 7 indexed citations

10.

Lechevalier, David, et al.. (2017). Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML). PubMed. 1(1). 121–142. 44 indexed citations

11.

Ferguson, Max, Ronay Ak, Yung-Tsun Tina Lee, & Kincho H. Law. (2017). Automatic localization of casting defects with convolutional neural networks. 1726–1735. 142 indexed citations

12.

Ak, Ronay, Yan‐Fu Li, Valeria Vitelli, & Enrico Zio. (2017). Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load. International Journal of Electrical Power & Energy Systems. 95. 213–226. 44 indexed citations

13.

Brodsky, Alexander, et al.. (2016). Analysis and optimization based on reusable knowledge base of process performance models. The International Journal of Advanced Manufacturing Technology. 88(1-4). 337–357. 15 indexed citations

14.

Ak, Ronay, et al.. (2015). Data analytics and uncertainty quantification for energy prediction in manufacturing. 2782–2784. 9 indexed citations

15.

Ak, Ronay, Olga Fink, & Enrico Zio. (2015). Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. IEEE Transactions on Neural Networks and Learning Systems. 27(8). 1734–1747. 131 indexed citations

16.

Lechevalier, David, et al.. (2015). A neural network meta-model and its application for manufacturing. 1428–1435. 14 indexed citations

17.

Ak, Ronay, Valeria Vitelli, & Enrico Zio. (2015). An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction. IEEE Transactions on Neural Networks and Learning Systems. 26(11). 2787–2800. 66 indexed citations

18.

Ak, Ronay, Moneer Helu, & Sudarsan Rachuri. (2015). Ensemble Neural Network Model for Predicting the Energy Consumption of a Milling Machine. 7 indexed citations

19.

Ak, Ronay, et al.. (2012). NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Systems with Applications. 40(4). 1205–1212. 50 indexed citations

20.

Bozdag, Erhan, Ronay Ak, & Tufan Koç. (2007). Development of a justification tool for advanced technologies: An example for RFID. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–4. 2 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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