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For: Rohi G, Ejofodomi O, Ofualagba G. Autonomous monitoring, analysis, and countering of air pollution using environmental drones. Heliyon 2020;6:e03252. [PMID: 31993524 DOI: 10.1016/j.heliyon.2020.e03252] [Cited by in Crossref: 40] [Cited by in F6Publishing: 27] [Article Influence: 20.0] [Reference Citation Analysis]
Number Citing Articles
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6 Huamanchahua D, Huamanchahua JC, Fanny-flores F. Use of Drones (UAVs) for Pollutant Identification in the Industrial Sector: A Technology Review. 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) 2022. [DOI: 10.1109/iemtronics55184.2022.9795812] [Reference Citation Analysis]
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10 Lugassi R, Blank A, Rogozovsky I, Ohneiser K, Ansmann A, Linzon Y, Chudnovsky A. From laboratory to in-situ 3D measurements of complex pollution states in the city: Introducing a general concept using compact multisensory assemblies on UAVs. Atmospheric Environment 2022. [DOI: 10.1016/j.atmosenv.2022.119146] [Reference Citation Analysis]
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13 Ilić D, Milošević I, Ilić-kosanović T. Application of Unmanned Aircraft Systems for smart city transformation: Case study Belgrade. Technological Forecasting and Social Change 2022;176:121487. [DOI: 10.1016/j.techfore.2022.121487] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
14 Cozma A, Firculescu AC, Tudose D, Ruse L. Autonomous Multi-Rotor Aerial Platform for Air Pollution Monitoring. Sensors (Basel) 2022;22:860. [PMID: 35161607 DOI: 10.3390/s22030860] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
15 Evangelopoulos E. Smart counties: technologies, considerations, characteristics, challenges, policies, and theoretical concerns. Smart Cities Policies and Financing 2022. [DOI: 10.1016/b978-0-12-819130-9.00039-5] [Reference Citation Analysis]
16 Ghamari M, Rangel P, Mehrubeoglu M, Tewolde GS, Sherratt RS. Unmanned Aerial Vehicle Communications for Civil Applications: A Review. IEEE Access 2022;10:102492-531. [DOI: 10.1109/access.2022.3208571] [Reference Citation Analysis]
17 do Carmo Rangel M. Progress in Catalysts for CO2 Reforming. Advances in Science, Technology & Innovation 2022. [DOI: 10.1007/978-3-030-72877-9_2] [Reference Citation Analysis]
18 Martínez D, Po L, Trillo-lado R, Viqueira JRR. TAQE: A Data Modeling Framework for Traffic and Air Quality Applications in Smart Cities. Graph-Based Representation and Reasoning 2022. [DOI: 10.1007/978-3-031-16663-1_3] [Reference Citation Analysis]
19 De Fazio R, Dinoi LM, De Vittorio M, Visconti P. A Sensor-Based Drone for Pollutants Detection in Eco-Friendly Cities: Hardware Design and Data Analysis Application. Electronics 2022;11:52. [DOI: 10.3390/electronics11010052] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
20 Egodagama WGCN, Zahid AAM, Pathirana GPTS, S. DD, Chathurika B, Supunya R. Air Pollution Mapping with Sensor-based Methodology. 2021 3rd International Conference on Advancements in Computing (ICAC) 2021. [DOI: 10.1109/icac54203.2021.9671215] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Chhikara P, Tekchandani R, Kumar N, Tanwar S, Rodrigues JJPC. Federated Learning for Air Quality Index Prediction using UAV Swarm Networks. 2021 IEEE Global Communications Conference (GLOBECOM) 2021. [DOI: 10.1109/globecom46510.2021.9685991] [Reference Citation Analysis]
22 Geronel RS, Dowell EH, Bueno DD. Estimating the oscillation frequency of a payload mass on quadcopter in non-autonomous flight. Journal of Vibration and Control. [DOI: 10.1177/10775463211046699] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
23 Komarchuk DS, Gunchenko YA, Pasichnyk NA, Opryshko OA, Shvorov SA, Reshetiuk V. Use of Drones in Industrial Greenhouses. 2021 IEEE 6th International Conference on Actual Problems of Unmanned Aerial Vehicles Development (APUAVD) 2021. [DOI: 10.1109/apuavd53804.2021.9615418] [Reference Citation Analysis]
24 Cabassi J, Lazzaroni M, Giannini L, Mariottini D, Nisi B, Rappuoli D, Vaselli O. Continuous and near real-time measurements of gaseous elemental mercury (GEM) from an Unmanned Aerial Vehicle: A new approach to investigate the 3D distribution of GEM in the lower atmosphere. Chemosphere 2022;288:132547. [PMID: 34653490 DOI: 10.1016/j.chemosphere.2021.132547] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
25 Chhikara P, Tekchandani R, Kumar N, Guizani M, Hassan MM. Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment. IEEE Internet Things J 2021;8:15456-67. [DOI: 10.1109/jiot.2021.3074523] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
26 Kaginalkar A, Kumar S, Gargava P, Niyogi D. Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective. Urban Climate 2021;39:100972. [DOI: 10.1016/j.uclim.2021.100972] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 16.0] [Reference Citation Analysis]
27 Anwar MN, Shabbir M, Tahir E, Iftikhar M, Saif H, Tahir A, Murtaza MA, Khokhar MF, Rehan M, Aghbashlo M, Tabatabaei M, Nizami AS. Emerging challenges of air pollution and particulate matter in China, India, and Pakistan and mitigating solutions. J Hazard Mater 2021;416:125851. [PMID: 34492802 DOI: 10.1016/j.jhazmat.2021.125851] [Cited by in Crossref: 18] [Cited by in F6Publishing: 16] [Article Influence: 18.0] [Reference Citation Analysis]
28 Kezoudi M, Keleshis C, Antoniou P, Biskos G, Bronz M, Constantinides C, Desservettaz M, Gao R, Girdwood J, Harnetiaux J, Kandler K, Leonidou A, Liu Y, Lelieveld J, Marenco F, Mihalopoulos N, Močnik G, Neitola K, Paris J, Pikridas M, Sarda-esteve R, Stopford C, Unga F, Vrekoussis M, Sciare J. The Unmanned Systems Research Laboratory (USRL): A New Facility for UAV-Based Atmospheric Observations. Atmosphere 2021;12:1042. [DOI: 10.3390/atmos12081042] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
29 Bella S, Belalem G, Belbachir A, Benfriha H. HMDCS-UV: A concept study of Hybrid Monitoring, Detection and Cleaning System for Unmanned Vehicles. J Intell Robot Syst 2021;102:44. [PMID: 34054219 DOI: 10.1007/s10846-021-01372-8] [Reference Citation Analysis]
30 Singh D, Dahiya M, Kumar R, Nanda C. Sensors and systems for air quality assessment monitoring and management: A review. J Environ Manage 2021;289:112510. [PMID: 33827002 DOI: 10.1016/j.jenvman.2021.112510] [Cited by in Crossref: 15] [Cited by in F6Publishing: 19] [Article Influence: 15.0] [Reference Citation Analysis]
31 Lambey V, Prasad AD. A Review on Air Quality Measurement Using an Unmanned Aerial Vehicle. Water Air Soil Pollut 2021;232. [DOI: 10.1007/s11270-020-04973-5] [Cited by in Crossref: 18] [Cited by in F6Publishing: 11] [Article Influence: 18.0] [Reference Citation Analysis]
32 Kakutani K, Matsuda Y, Nonomura T, Takikawa Y, Osamura K, Toyoda H. Remote-Controlled Monitoring of Flying Pests with an Electrostatic Insect Capturing Apparatus Carried by an Unmanned Aerial Vehicle. Agriculture 2021;11:176. [DOI: 10.3390/agriculture11020176] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
33 Kendler S, Nebenzal A, Gold D, Reed PM, Fishbain B. The effects of air pollution sources / sensor array configurations on the likelihood of obtaining accurate source term estimations. Atmospheric Environment 2021;246:117754. [DOI: 10.1016/j.atmosenv.2020.117754] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
34 Rahman MFF, Fan S, Zhang Y, Chen L. A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture. Agriculture 2021;11:22. [DOI: 10.3390/agriculture11010022] [Cited by in Crossref: 24] [Cited by in F6Publishing: 28] [Article Influence: 24.0] [Reference Citation Analysis]
35 Kovalov O, Elizarov A, Kokhanenko V, Manzhura S. Метод локального моніторингу атмосфери за допомогою безпілотних літальних апаратів. PES 2021. [DOI: 10.52363/2524-0226-2021-34-16] [Reference Citation Analysis]
36 Loke SW, Rakotonirainy A. Automated Vehicles, Urban Robots and Drones: Three Elements of the Automated City. The Automated City 2021. [DOI: 10.1007/978-3-030-82318-4_3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
37 Kendler S, Zuck A. The Challenges of Prolonged Gas Sensing in the Modern Urban Environment. Sensors (Basel) 2020;20:E5189. [PMID: 32932975 DOI: 10.3390/s20185189] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
38 Yaacoub J, Noura H, Salman O, Chehab A. Security analysis of drones systems: Attacks, limitations, and recommendations. Internet of Things 2020;11:100218. [DOI: 10.1016/j.iot.2020.100218] [Cited by in Crossref: 127] [Cited by in F6Publishing: 137] [Article Influence: 63.5] [Reference Citation Analysis]
39 Lee J, Park J, Kim J. Vertical Measurement of Equivalent Black Carbon Concentration at Low Altitude. Applied Sciences 2020;10:5142. [DOI: 10.3390/app10155142] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
40 Pochwała S, Gardecki A, Lewandowski P, Somogyi V, Anweiler S. Developing of Low-Cost Air Pollution Sensor-Measurements with the Unmanned Aerial Vehicles in Poland. Sensors (Basel) 2020;20:E3582. [PMID: 32599921 DOI: 10.3390/s20123582] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
41 Safarianzengir V, Sobhani B, Yazdani MH, Kianian M. Monitoring, analysis and spatial and temporal zoning of air pollution (carbon monoxide) using Sentinel-5 satellite data for health management in Iran, located in the Middle East. Air Qual Atmos Health 2020;13:709-19. [DOI: 10.1007/s11869-020-00827-5] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 10.0] [Reference Citation Analysis]