Jorge Loy-Benitez

1.3k total citations
32 papers, 1.0k citations indexed

About

Jorge Loy-Benitez is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Civil and Structural Engineering. According to data from OpenAlex, Jorge Loy-Benitez has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 10 papers in Health, Toxicology and Mutagenesis and 8 papers in Civil and Structural Engineering. Recurrent topics in Jorge Loy-Benitez's work include Air Quality Monitoring and Forecasting (15 papers), Air Quality and Health Impacts (10 papers) and Water Quality Monitoring Technologies (5 papers). Jorge Loy-Benitez is often cited by papers focused on Air Quality Monitoring and Forecasting (15 papers), Air Quality and Health Impacts (10 papers) and Water Quality Monitoring Technologies (5 papers). Jorge Loy-Benitez collaborates with scholars based in South Korea, Australia and Ireland. Jorge Loy-Benitez's co-authors include ChangKyoo Yoo, SungKu Heo, KiJeon Nam, Qian Li, Usman Safder, Hai-Tra Nguyen, Shahzeb Tariq, Abdulrahman H. Ba-Alawi, Soonho Hwangbo and Jouan Rashidi and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Hazardous Materials and Chemosphere.

In The Last Decade

Jorge Loy-Benitez

32 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge Loy-Benitez South Korea	21	373	220	203	165	155	32	1.0k
KiJeon Nam South Korea	20	303 0.8×	155 0.7×	323 1.6×	262 1.6×	126 0.8×	43	1.2k
Seunghoon Jung South Korea	18	111 0.3×	88 0.4×	240 1.2×	104 0.6×	234 1.5×	36	819
Wandong Zheng China	35	568 1.5×	174 0.8×	451 2.2×	200 1.2×	766 4.9×	117	2.7k
Davide Astiaso Garcia Italy	27	208 0.6×	60 0.3×	879 4.3×	98 0.6×	220 1.4×	61	1.8k
Hooman Farzaneh Japan	20	161 0.4×	133 0.6×	648 3.2×	45 0.3×	167 1.1×	94	1.6k
Zhiyong Tian China	23	344 0.9×	123 0.6×	673 3.3×	180 1.1×	643 4.1×	96	2.2k
Zaiyi Liao Canada	22	228 0.6×	38 0.2×	461 2.3×	185 1.1×	409 2.6×	89	1.4k
Feihu Sun China	17	280 0.8×	59 0.3×	197 1.0×	40 0.2×	47 0.3×	59	1.2k
Changwon Kim South Korea	15	94 0.3×	109 0.5×	51 0.3×	220 1.3×	74 0.5×	82	1.1k

Countries citing papers authored by Jorge Loy-Benitez

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Loy-Benitez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Loy-Benitez. 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 Jorge Loy-Benitez. The network helps show where Jorge Loy-Benitez may publish in the future.

Co-authorship network of co-authors of Jorge Loy-Benitez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Loy-Benitez. A scholar is included among the top collaborators of Jorge Loy-Benitez 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 Jorge Loy-Benitez. Jorge Loy-Benitez 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

Loy-Benitez, Jorge, et al.. (2024). Transfer component analysis-driven domain adaptation approach for estimating the life of tunnel boring machine disc cutters. Tunnelling and Underground Space Technology. 147. 105714–105714. 6 indexed citations

Tariq, Shahzeb, Jorge Loy-Benitez, & ChangKyoo Yoo. (2024). Multi-sensor fault detection and correction for automated IAQ monitoring in smart buildings through attention-aware autoencoders with spatial prediction module. Journal of Building Engineering. 96. 110573–110573. 2 indexed citations

Safder, Usman, Jorge Loy-Benitez, & ChangKyoo Yoo. (2023). Techno-economic assessment of a novel integrated multigeneration system to synthesize e-methanol and green hydrogen in a carbon-neutral context. Energy. 290. 130104–130104. 45 indexed citations

Tariq, Shahzeb, Jorge Loy-Benitez, & ChangKyoo Yoo. (2023). Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer. Building and Environment. 244. 110780–110780. 6 indexed citations

Chang, Roberto, Shahzeb Tariq, Jorge Loy-Benitez, & ChangKyoo Yoo. (2023). Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network. Chemosphere. 335. 139071–139071. 8 indexed citations

Loy-Benitez, Jorge, Shahzeb Tariq, Hai-Tra Nguyen, SungKu Heo, & ChangKyoo Yoo. (2023). Sludge bulking monitoring in industrial wastewater treatment plants through graphical methods: A dynamic graph embedding and Bayesian networks approach. Journal of Environmental Management. 345. 118804–118804. 4 indexed citations

Tariq, Shahzeb, et al.. (2022). Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach. Tunnelling and Underground Space Technology. 131. 104843–104843. 15 indexed citations

Safder, Usman, Hai-Tra Nguyen, Jorge Loy-Benitez, & ChangKyoo Yoo. (2022). Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses. Energy. 259. 124962–124962. 18 indexed citations

Safder, Usman, Jorge Loy-Benitez, Hai-Tra Nguyen, & ChangKyoo Yoo. (2022). A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process. Journal of Water Process Engineering. 46. 102580–102580. 33 indexed citations

10.

Li, Qian, et al.. (2021). Inter-regional multimedia fate analysis of PAHs and potential risk assessment by integrating deep learning and climate change scenarios. Journal of Hazardous Materials. 411. 125149–125149. 27 indexed citations

11.

Ba-Alawi, Abdulrahman H., Jorge Loy-Benitez, SangYun Kim, & ChangKyoo Yoo. (2021). Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders. Chemosphere. 288. 132647–132647. 39 indexed citations

12.

Tariq, Shahzeb, Jorge Loy-Benitez, KiJeon Nam, SungKu Heo, & ChangKyoo Yoo. (2020). Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions. Building and Environment. 174. 106775–106775. 16 indexed citations

13.

Nam, KiJeon, SungKu Heo, Jorge Loy-Benitez, Pouya Ifaei, & ChangKyoo Yoo. (2020). An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning. Water Science & Technology. 81(8). 1578–1587. 20 indexed citations

14.

Heo, SungKu, KiJeon Nam, Jorge Loy-Benitez, & ChangKyoo Yoo. (2020). Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning. IEEE Transactions on Industrial Informatics. 17(10). 6925–6934. 58 indexed citations

15.

Tariq, Shahzeb, et al.. (2020). Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities. Journal of Hazardous Materials. 406. 124753–124753. 41 indexed citations

16.

Nam, KiJeon, SungKu Heo, Qian Li, et al.. (2020). A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions. Applied Energy. 266. 114893–114893. 44 indexed citations

17.

Loy-Benitez, Jorge, SungKu Heo, & ChangKyoo Yoo. (2020). Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems. Building and Environment. 182. 107135–107135. 34 indexed citations

18.

Li, Qian, Jorge Loy-Benitez, SungKu Heo, et al.. (2019). Flexible real-time ventilation design in a subway station accommodating the various outdoor PM10 air quality from climate change variation. Building and Environment. 153. 77–90. 32 indexed citations

19.

Heo, SungKu, et al.. (2019). A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station. Energy and Buildings. 202. 109440–109440. 64 indexed citations

20.

Loy-Benitez, Jorge, et al.. (2018). Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks. Ecotoxicology and Environmental Safety. 169. 316–324. 67 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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