{"id":"https://openalex.org/W3173031313","doi":null,"title":"Optimizing energy performance of building renovation using traditional and machine learning approaches","display_name":"Optimizing energy performance of building renovation using traditional and machine learning approaches","publication_year":2020,"publication_date":"2020-02-13","ids":{"openalex":"https://openalex.org/W3173031313","mag":"3173031313"},"language":"en","primary_location":{"id":"pmh:oai:https://spectrum.library.concordia.ca:986791","doi":null,"is_oa":false,"landing_page_url":"https://spectrum.library.concordia.ca/986791/7/Sharif_PhD_F2020.pdf","pdf_url":"https://spectrum.library.concordia.ca/986791/7/Sharif_PhD_F2020.pdf","source":{"id":"https://openalex.org/S4306400871","display_name":"Spectrum Research Repository (Concordia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60158472","host_organization_name":"Concordia University","host_organization_lineage":["https://openalex.org/I60158472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080295894","display_name":"S Shavalpour Arani","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S Shavalpour Arani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003135860","display_name":"Seyed Amirhosain Sharif","orcid":"https://orcid.org/0000-0003-0277-9604","observed_orcids":["https://orcid.org/0000-0003-0277-9604"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seyed Amirhosain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13263","display_name":"Building energy efficiency and sustainability","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-performance-of-buildings","display_name":"building energy performance","score":0.9369999766349792},{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.8960000276565552},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/generative-deep-learning","display_name":"generative deep learning","score":0.8970000147819519},{"id":"https://openalex.org/keywords/life-cycle-cost","display_name":"life cycle cost","score":0.8740000128746033},{"id":"https://openalex.org/keywords/life-cycle-assessment","display_name":"life cycle assessment","score":0.9829999804496765},{"id":"https://openalex.org/keywords/building-energy-consumption","display_name":"building energy consumption","score":0.6579999923706055},{"id":"https://openalex.org/keywords/building-envelope","display_name":"building envelope","score":0.824999988079071},{"id":"https://openalex.org/keywords/hvac-systems","display_name":"HVAC systems","score":0.9750000238418579},{"id":"https://openalex.org/keywords/lighting-systems","display_name":"lighting systems","score":0.9509999752044678},{"id":"https://openalex.org/keywords/environmental-impact","display_name":"environmental impact","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5512892603874207},{"id":"https://openalex.org/C2781469121","wikidata":"https://www.wikidata.org/wiki/Q331483","display_name":"Demolition","level":2,"score":0.47411587834358215},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.45458778738975525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4491526782512665},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4212016463279724},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4173962473869324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.41689425706863403},{"id":"https://openalex.org/C2778706760","wikidata":"https://www.wikidata.org/wiki/Q581950","display_name":"Life-cycle assessment","level":3,"score":0.41390833258628845},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4136582612991333},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3634997010231018},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.22209671139717102},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.16552922129631042},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:https://spectrum.library.concordia.ca:986791","doi":null,"is_oa":false,"landing_page_url":"https://spectrum.library.concordia.ca/986791/7/Sharif_PhD_F2020.pdf","pdf_url":"https://spectrum.library.concordia.ca/986791/7/Sharif_PhD_F2020.pdf","source":{"id":"https://openalex.org/S4306400871","display_name":"Spectrum Research Repository (Concordia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I60158472","host_organization_name":"Concordia University","host_organization_lineage":["https://openalex.org/I60158472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:3173031313","doi":null,"is_oa":false,"landing_page_url":"https://spectrum.library.concordia.ca/986791/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.821399986743927,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"},{"score":0.75,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"},{"score":0.651199996471405,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.5142999887466431,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":158,"referenced_works":["https://openalex.org/W180618360","https://openalex.org/W226587953","https://openalex.org/W265189144","https://openalex.org/W321631048","https://openalex.org/W888731143","https://openalex.org/W934058080","https://openalex.org/W1480610080","https://openalex.org/W1483431698","https://openalex.org/W1488186422","https://openalex.org/W1497256448","https://openalex.org/W1497758039","https://openalex.org/W1514359741","https://openalex.org/W1528140509","https://openalex.org/W1534035444","https://openalex.org/W1559623935","https://openalex.org/W1570567636","https://openalex.org/W1582555728","https://openalex.org/W1582960532","https://openalex.org/W1595498733","https://openalex.org/W1632162204","https://openalex.org/W1686810756","https://openalex.org/W1710476689","https://openalex.org/W1723047547","https://openalex.org/W1798648926","https://openalex.org/W1865554936","https://openalex.org/W1909320841","https://openalex.org/W1919960520","https://openalex.org/W1959608418","https://openalex.org/W1966786060","https://openalex.org/W1967610795","https://openalex.org/W1970703475","https://openalex.org/W1975455363","https://openalex.org/W1979939532","https://openalex.org/W1980477020","https://openalex.org/W1982231280","https://openalex.org/W1982511648","https://openalex.org/W1986257715","https://openalex.org/W1986862993","https://openalex.org/W1990334093","https://openalex.org/W1993825233","https://openalex.org/W1996173821","https://openalex.org/W1997319039","https://openalex.org/W1999979720","https://openalex.org/W2013852104","https://openalex.org/W2016863839","https://openalex.org/W2021095700","https://openalex.org/W2024886379","https://openalex.org/W2026430219","https://openalex.org/W2029033646","https://openalex.org/W2032632859","https://openalex.org/W2037767895","https://openalex.org/W2038002007","https://openalex.org/W2039915758","https://openalex.org/W2041243828","https://openalex.org/W2041701590","https://openalex.org/W2044573463","https://openalex.org/W2046054901","https://openalex.org/W2049248576","https://openalex.org/W2049614903","https://openalex.org/W2051022076","https://openalex.org/W2051607409","https://openalex.org/W2058922249","https://openalex.org/W2059410869","https://openalex.org/W2060686589","https://openalex.org/W2064880276","https://openalex.org/W2068956724","https://openalex.org/W2071258353","https://openalex.org/W2075349917","https://openalex.org/W2079761644","https://openalex.org/W2081160624","https://openalex.org/W2081513843","https://openalex.org/W2083974252","https://openalex.org/W2084520493","https://openalex.org/W2085385413","https://openalex.org/W2086685121","https://openalex.org/W2087422167","https://openalex.org/W2088799927","https://openalex.org/W2089710331","https://openalex.org/W2090337309","https://openalex.org/W2091693228","https://openalex.org/W2092756698","https://openalex.org/W2094176506","https://openalex.org/W2095080011","https://openalex.org/W2103226621","https://openalex.org/W2105916576","https://openalex.org/W2108152153","https://openalex.org/W2111051539","https://openalex.org/W2111275882","https://openalex.org/W2111528621","https://openalex.org/W2117159598","https://openalex.org/W2118023920","https://openalex.org/W2119615570","https://openalex.org/W2122585011","https://openalex.org/W2124938974","https://openalex.org/W2126105956","https://openalex.org/W2130608062","https://openalex.org/W2133639093","https://openalex.org/W2138237504","https://openalex.org/W2139701068","https://openalex.org/W2139823104","https://openalex.org/W2141166894","https://openalex.org/W2145094598","https://openalex.org/W2156302255","https://openalex.org/W2160863575","https://openalex.org/W2163167422","https://openalex.org/W2171168419","https://openalex.org/W2171956205","https://openalex.org/W2172172920","https://openalex.org/W2187940938","https://openalex.org/W2192133435","https://openalex.org/W2200377847","https://openalex.org/W2201840073","https://openalex.org/W2204655733","https://openalex.org/W2207465447","https://openalex.org/W2220760253","https://openalex.org/W2235103357","https://openalex.org/W2261760121","https://openalex.org/W2277431099","https://openalex.org/W2294865793","https://openalex.org/W2295453723","https://openalex.org/W2295959395","https://openalex.org/W2342620929","https://openalex.org/W2402465780","https://openalex.org/W2407477887","https://openalex.org/W2432004435","https://openalex.org/W2460994027","https://openalex.org/W2517580759","https://openalex.org/W2521611614","https://openalex.org/W2528648810","https://openalex.org/W2549906944","https://openalex.org/W2554462191","https://openalex.org/W2559039598","https://openalex.org/W2586259521","https://openalex.org/W2587284713","https://openalex.org/W2587347436","https://openalex.org/W2605614336","https://openalex.org/W2606395562","https://openalex.org/W2608683275","https://openalex.org/W2625011533","https://openalex.org/W2754575009","https://openalex.org/W2760917493","https://openalex.org/W2761146210","https://openalex.org/W2763500568","https://openalex.org/W2764791077","https://openalex.org/W2780476542","https://openalex.org/W2783038087","https://openalex.org/W2798405286","https://openalex.org/W2809614682","https://openalex.org/W2901792884","https://openalex.org/W2909444216","https://openalex.org/W2919115771","https://openalex.org/W2946736456","https://openalex.org/W2949899814","https://openalex.org/W2962760235","https://openalex.org/W2963125871","https://openalex.org/W2995563799","https://openalex.org/W3023540311","https://openalex.org/W3171472429"],"related_works":["https://openalex.org/W2946736456","https://openalex.org/W2625011533","https://openalex.org/W2901792884","https://openalex.org/W3090667563","https://openalex.org/W4407385749","https://openalex.org/W6986156416","https://openalex.org/W7163999510","https://openalex.org/W2909322580","https://openalex.org/W4382297903","https://openalex.org/W4248009243"],"abstract_inverted_index":{"International":[0],"Energy":[1,238],"Agency":[2],"(IEA)":[3],"studies":[4],"show":[5],"that":[6],"buildings":[7,34,46,234,386,720],"are":[8,293,523],"responsible":[9],"for":[10,53,74,153,225,232,258,326,481,634],"more":[11,717],"than":[12],"30%":[13],"of":[14,24,33,39,70,92,96,103,116,146,149,167,176,182,211,229,289,307,371,384,425,441,489,511,517,538,589,660,679,688,701,705],"the":[15,30,71,88,97,130,147,171,177,183,227,294,333,356,361,369,375,382,389,404,410,422,426,434,439,449,465,494,503,508,514,520,530,544,551,598,607,640,658,667,676,680,686,702,722],"total":[16],"energy":[17,31,41,262,315,393,473,562,668,677,713],"consumption":[18,714],"and":[19,48,58,90,100,137,158,180,242,265,281,299,303,329,336,400,402,460,468,479,581,587,632,638,643,651,654,670,691,715],"an":[20,415],"equally":[21],"large":[22],"amount":[23],"related":[25],"greenhouse":[26],"gas":[27],"emissions.":[28],"Improving":[29],"performance":[32,678],"is":[35,106,196,214,366,418,430,437,443,492,708],"a":[36,80,108,113,154,219,310,324,338,470,534,557,576,610],"critical":[37],"element":[38],"building":[40,133,156,206,261,290,295,314,472,483,561,578],"conservation.":[42],"Furthermore,":[43,152,414],"renovating":[44,385],"existing":[45,233,590],"envelopes":[47],"systems":[49],"offers":[50],"significant":[51,311,709],"opportunities":[52],"reducing":[54],"Life-Cycle":[55,247],"cost":[56],"(LCC)":[57],"minimizing":[59,236],"negative":[60,243,695],"environmental":[61,244,423,696],"impacts.":[62,697],"This":[63,283],"approach":[64,105],"can":[65,351,656],"be":[66,352],"considered":[67],"as":[68],"one":[69,189],"key":[72],"strategies":[73,335],"achieving":[75,498],"sustainable":[76,689],"development":[77],"goals":[78],"at":[79],"relatively":[81],"low":[82],"cost,":[83],"especially":[84],"when":[85],"compared":[86,353],"with":[87,513],"demolition":[89],"reconstruction":[91],"new":[93,622],"buildings.":[94,592],"One":[95],"main":[98,120,287,487],"methodological":[99],"technical":[101],"issues":[102],"this":[104,123,187,194,212,318,320,346,447,706],"selecting":[107,259],"desirable":[109],"renovation":[110,230,263,277,334,343,349,362,390,406,412,484,548,579,583,636,647,724],"strategy":[111],"among":[112],"wide":[114],"range":[115],"available":[117],"options.":[118],"\\nThe":[119,209,616],"motivation":[121],"behind":[122],"research":[124,213,321,707],"relies":[125],"on":[126,313,360,409,453,555,666],"trying":[127],"to":[128,142,192,197,201,217,251,267,275,331,354,396,420,457,475,525,529,546,602,605,628,645,674,693],"bridge":[129],"gap":[131],"between":[132],"simulation,":[134],"optimization":[135,162,172,509],"algorithms,":[136],"Artificial":[138,254],"Intelligence":[139],"(AI)":[140],"techniques,":[141],"take":[143],"full":[144],"advantage":[145,488],"value":[148],"their":[150],"couplings.":[151],"whole":[155,577],"simulation":[157,168,207,442],"optimization,":[159],"current":[160],"simulation-based":[161],"models,":[163],"often":[164],"need":[165],"thousands":[166],"evaluations.":[169],"Therefore,":[170],"becomes":[173],"unfeasible":[174],"because":[175],"computation":[178],"time":[179,444,496],"complexity":[181],"dependent":[184],"parameters.":[185],"To":[186,446],"end,":[188,448],"feasible":[190],"technique":[191],"solve":[193],"problem":[195],"implement":[198],"surrogate":[199,253,471],"models":[200,618,684],"computationally":[202],"imitate":[203],"expensive":[204],"real":[205],"models.":[208],"aim":[210],"three-fold:":[215],"(1)":[216,627],"propose":[218],"Simulation-Based":[220],"Multi-Objective":[221],"Optimization":[222],"(SBMO)":[223],"model":[224,380,467,474,506,532,563,595],"optimizing":[226],"selection":[228],"scenarios":[231,278,350,407,584,648],"by":[235,387],"Total":[237],"Consumption":[239],"(TEC),":[240],"LCC":[241,588],"impacts":[245],"considering":[246,279,585,649],"Assessment":[248],"(LCA);":[249],"(2)":[250,644],"develop":[252,268,469],"Neural":[255],"Networks":[256],"(ANNs)":[257],"near-optimal":[260,357,405,641],"methods;":[264],"(3)":[266],"generative":[269,558],"deep":[270,559,573],"Machine":[271],"Learning":[272],"Models":[273],"(MLMs)":[274],"generate":[276,547,582,646],"TEC":[280,586,650],"LCC.":[282,652],"study":[284],"considers":[285],"three":[286],"areas":[288],"renovation,":[291],"which":[292,308],"envelope,":[296],"Heating,":[297],"Ventilation":[298],"Air-Conditioning":[300],"(HVAC)":[301],"system,":[302],"lighting":[304],"system;":[305],"each":[306],"has":[309,597],"impact":[312,700],"performance.":[316],"\\nOn":[317],"premise,":[319],"initially":[322],"develops":[323],"framework":[325],"data":[327,391,462],"collection":[328],"preparation":[330],"define":[332],"proposes":[337],"comprehensive":[339],"database":[340],"including":[341],"different":[342,348,635,661],"methods.":[344,413],"Using":[345],"database,":[347],"find":[355],"scenario":[358,365],"based":[359,408],"strategy.":[363,377],"Each":[364],"created":[367],"from":[368,464,575,609],"combination":[370],"several":[372],"methods":[373],"within":[374,721],"applicable":[376],"The":[378,486,568,593,682,698],"SBMO":[379,436,466,512,531],"simulates":[381],"process":[383,440],"using":[388,564],"in":[392,533,613,624,711],"analysis":[394],"software":[395],"analyze":[397],"TEC,":[398,477,630],"LCC,":[399,478,631],"LCA":[401,416,480,633],"identifies":[403],"selected":[411],"tool":[417],"used":[419],"evaluate":[421],"sustainability":[424],"final":[427],"decision.":[428],"\\nIt":[429],"found":[431,524],"that,":[432],"although":[433],"proposed":[435,521,569,594,617,683],"accurate,":[438],"consuming.":[445],"second":[450,504],"objective":[451,553],"focuses":[452,554],"developing":[454,556],"robust":[455],"MLMs":[456,491],"explore":[458],"vast":[459],"complex":[461],"generated":[463],"predict":[476,629],"all":[482],"scenarios.":[485,549],"these":[490],"improving":[493],"computing":[495],"while":[497],"acceptable":[499],"accuracy.":[500],"More":[501],"specifically,":[502],"developed":[505],"integrates":[507],"power":[510],"modeling":[515],"capability":[516,545],"ANNs.":[518],"While,":[519],"ANNs":[522],"provide":[526],"satisfactory":[527],"approximation":[528],"very":[535],"short":[536],"period":[537],"time,":[539],"they":[540],"do":[541],"not":[542],"have":[543],"\\nFinally,":[550],"third":[552],"learning":[560],"Variational":[565],"Autoencoders":[566],"(VAEs).":[567],"semi-supervised":[570],"VAEs":[571],"extract":[572],"features":[574],"dataset":[580,608],"institutional":[591],"also":[596],"generalization":[599],"ability":[600],"due":[601],"its":[603],"potential":[604],"reuse":[606],"specific":[611],"case":[612],"similar":[614],"situations.":[615],"will":[619],"potentially":[620],"offer":[621],"venues":[623],"two":[625],"directions:":[626],"scenarios,":[637],"select":[639],"scenario,":[642],"Architects":[653],"engineers":[655],"see":[657],"effects":[659],"materials,":[662],"HVAC":[663],"systems,":[664],"etc.,":[665],"consumption,":[669],"make":[671],"necessary":[672],"changes":[673],"increase":[675],"building.":[681],"encourage":[685],"implementation":[687,704],"materials":[690],"components":[692],"decrease":[694],"ultimate":[699],"practical":[703],"savings":[710],"buildings\u2019":[712],"having":[716],"environmentally":[718],"friendly":[719],"predefined":[723],"budget.":[725]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2021-06-22T00:00:00"}
