{"id":"https://openalex.org/W2112674101","doi":"https://doi.org/10.3390/rs2030673","title":"Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques","display_name":"Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2112674101","doi":"https://doi.org/10.3390/rs2030673","mag":"2112674101"},"language":"en","primary_location":{"id":"doi:10.3390/rs2030673","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs2030673","pdf_url":"https://www.mdpi.com/2072-4292/2/3/673/pdf?version=1403129165","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/2/3/673/pdf?version=1403129165","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062796921","display_name":"Sudhanshu Panda","orcid":"https://orcid.org/0000-0002-3845-4310"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sudhanshu Sekhar Panda","raw_affiliation_strings":["Department of Science, Engineering, and Technology, Gainesville State College, 3820 Mundy Mill Road, Oakwood, GA 30566, USA"],"affiliations":[{"raw_affiliation_string":"Department of Science, Engineering, and Technology, Gainesville State College, 3820 Mundy Mill Road, Oakwood, GA 30566, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044734782","display_name":"Daniel P. Ames","orcid":"https://orcid.org/0000-0003-2606-2579"},"institutions":[{"id":"https://openalex.org/I106969075","display_name":"Idaho State University","ror":"https://ror.org/0162z8b04","country_code":"US","type":"education","lineage":["https://openalex.org/I106969075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel P. Ames","raw_affiliation_strings":["Department of Geosciences, Idaho State University, 921 South 8th Avenue, Pocatello, ID 83209 USA"],"affiliations":[{"raw_affiliation_string":"Department of Geosciences, Idaho State University, 921 South 8th Avenue, Pocatello, ID 83209 USA","institution_ids":["https://openalex.org/I106969075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077557188","display_name":"Suranjan Panigrahi","orcid":"https://orcid.org/0000-0002-5056-6825"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suranjan Panigrahi","raw_affiliation_strings":["Agricultural and Biosystems Engineering Department, North Dakota State University, 1221 Albrecht Blvd, Fargo ND 58105 USA"],"affiliations":[{"raw_affiliation_string":"Agricultural and Biosystems Engineering Department, North Dakota State University, 1221 Albrecht Blvd, Fargo ND 58105 USA","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062796921"],"corresponding_institution_ids":[],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.7225,"has_fulltext":true,"cited_by_count":388,"citation_normalized_percentile":{"value":0.96875343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2","issue":"3","first_page":"673","last_page":"696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.641586422920227},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6351156830787659},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5489667654037476},{"id":"https://openalex.org/keywords/crop-yield","display_name":"Crop yield","score":0.5069868564605713},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5048397183418274},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4621705412864685},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.4577213525772095},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.4382035732269287},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.33461833000183105},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.31258904933929443},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.28304213285446167},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.24440684914588928},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.20227894186973572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1846582293510437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14083713293075562},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1072697639465332}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.641586422920227},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6351156830787659},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5489667654037476},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.5069868564605713},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5048397183418274},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4621705412864685},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.4577213525772095},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.4382035732269287},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.33461833000183105},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.31258904933929443},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.28304213285446167},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.24440684914588928},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.20227894186973572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1846582293510437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14083713293075562},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1072697639465332},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs2030673","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs2030673","pdf_url":"https://www.mdpi.com/2072-4292/2/3/673/pdf?version=1403129165","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.2587","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.2587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mdpi.com/2072-4292/2/3/673/pdf/","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:a8f53302180d4f1892d1fa52978dc155","is_oa":true,"landing_page_url":"https://doaj.org/article/a8f53302180d4f1892d1fa52978dc155","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 2, Iss 3, Pp 673-696 (2010)","raw_type":"article"},{"id":"pmh:oai:http://dlc.dlib.indiana.edu:10535/6369","is_oa":false,"landing_page_url":"http://hdl.handle.net/10535/6369","pdf_url":null,"source":{"id":"https://openalex.org/S4306402437","display_name":"Digital Library Of The Commons Repository (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:mdpi.com:/2072-4292/2/3/673/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs2030673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 2; Issue 3; Pages: 673-696","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs2030673","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs2030673","pdf_url":"https://www.mdpi.com/2072-4292/2/3/673/pdf?version=1403129165","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7599999904632568,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2112674101.pdf","grobid_xml":"https://content.openalex.org/works/W2112674101.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W124042149","https://openalex.org/W569381287","https://openalex.org/W1485678107","https://openalex.org/W1507394484","https://openalex.org/W1571001096","https://openalex.org/W1607241334","https://openalex.org/W1964217023","https://openalex.org/W1968496754","https://openalex.org/W1971977120","https://openalex.org/W1979636379","https://openalex.org/W1998451497","https://openalex.org/W2005073772","https://openalex.org/W2029258345","https://openalex.org/W2030370010","https://openalex.org/W2056352756","https://openalex.org/W2058147438","https://openalex.org/W2058709694","https://openalex.org/W2075021380","https://openalex.org/W2075899207","https://openalex.org/W2078078152","https://openalex.org/W2080527151","https://openalex.org/W2084549044","https://openalex.org/W2086342036","https://openalex.org/W2098836782","https://openalex.org/W2111839312","https://openalex.org/W2113956708","https://openalex.org/W2123460937","https://openalex.org/W2124776405","https://openalex.org/W2140190241","https://openalex.org/W2152104334","https://openalex.org/W2158436879","https://openalex.org/W2182318748","https://openalex.org/W2187624447","https://openalex.org/W2237577836","https://openalex.org/W2295667707","https://openalex.org/W2312997001","https://openalex.org/W2989983865","https://openalex.org/W2994614244","https://openalex.org/W3118412853","https://openalex.org/W4285719527","https://openalex.org/W4300565850","https://openalex.org/W6636950212","https://openalex.org/W6674993760","https://openalex.org/W6687084490"],"related_works":["https://openalex.org/W4387131574","https://openalex.org/W4378980784","https://openalex.org/W4377008735","https://openalex.org/W3204926808","https://openalex.org/W2374167006","https://openalex.org/W2144855297","https://openalex.org/W3183766399","https://openalex.org/W3173165341","https://openalex.org/W2921646734","https://openalex.org/W3207046288"],"abstract_inverted_index":{"Spatial":[0],"variability":[1,19],"in":[2,90,98,211],"a":[3,7,91],"crop":[4,32,76,96,213],"field":[5],"creates":[6],"need":[8],"for":[9,46,74,158,169,202,271,296,327,350,417],"precision":[10],"agriculture.":[11],"Economical":[12],"and":[13,39,42,115,126,135,143,146,166,168,229,249,261,268,287,373,415,421,442],"rapid":[14],"means":[15,228],"of":[16,25,30,61,69,93,106,173,206,232,246,253,280,305,319,340,344,365,369,412,434,440,445,447],"identifying":[17],"spatial":[18],"is":[20],"obtained":[21],"through":[22],"the":[23,31,67,99,170,194,197,203,227,256,293,334,362,366,380,391],"use":[24],"geotechnology":[26],"(remotely":[27],"sensed":[28],"images":[29],"field,":[33],"image":[34,50,263,395],"processing,":[35],"GIS":[36],"modeling":[37],"approach,":[38],"GPS":[40],"usage)":[41],"data":[43,172,195,355],"mining":[44],"techniques":[45,52],"model":[47,312,337,384,428],"development.":[48],"Higher-end":[49],"processing":[51],"are":[53],"followed":[54],"to":[55,65,200,282,285,289,307,323,348,360,397],"establish":[56],"more":[57],"precision.":[58],"The":[59,216,265,309,402,424],"goal":[60],"this":[62],"paper":[63],"was":[64,219,358,377,388],"investigate":[66],"strength":[68],"key":[70],"spectral":[71,86],"vegetation":[72,121,130,140,150,209,325],"indices":[73,87,111,155,189,210],"agricultural":[75],"yield":[77,160,214,218,409],"prediction":[78,243,254,278,303,317,363,410,446],"using":[79,222,390],"neural":[80],"network":[81],"techniques.":[82],"Four":[83],"widely":[84],"used":[85,226,359],"were":[88,156,183],"investigated":[89,157],"study":[92],"irrigated":[94],"corn":[95,159,212,217,408],"yields":[97],"Oakes":[100],"Irrigation":[101],"Test":[102],"Area":[103],"research":[104],"site":[105],"North":[107],"Dakota,":[108],"USA.":[109],"These":[110,153],"were:":[112],"(a)":[113],"red":[114,134,145],"near-infrared":[116],"(NIR)":[117],"based":[118,128,137,148],"normalized":[119],"difference":[120],"index":[122,131,141,151,352],"(NDVI),":[123],"(b)":[124],"green":[125,129],"NIR":[127,136,147],"(GVI),":[132],"(c)":[133],"soil":[138],"adjusted":[139],"(SAVI),":[142],"(d)":[144],"perpendicular":[149],"(PVI).":[152],"four":[154,208],"during":[161],"3":[162,175],"years":[163,192,274,299,370,418],"(1998,":[164],"1999,":[165,372,420],"2001)":[167],"pooled":[171,198],"these":[174],"years.":[176],"Initially,":[177],"Back-propagation":[178],"Neural":[179],"Network":[180],"(BPNN)":[181],"models":[182,187,224,257,270,295,368,405],"developed,":[184],"including":[185,193],"16":[186],"(4":[188],"*":[190],"4":[191],"from":[196,331],"years)":[199],"test":[201],"efficiency":[204],"determination":[205,247,341],"those":[207],"prediction.":[215],"best":[220],"predicted":[221],"BPNN":[223],"that":[225],"standard":[230,251,443],"deviations":[231],"PVI":[233,294,310,335,367,386,394,404,426],"grid":[234],"images.":[235],"In":[236],"all":[237,272,297],"three":[238,273,298],"years,":[239],"it":[240,329,376],"provided":[241,275,300,313,338,406,429],"higher":[242],"accuracies,":[244],"coefficient":[245,339],"(r2),":[248],"lower":[250],"error":[252,444],"than":[255],"involving":[258],"GVI,":[259,266],"NDVI,":[260,267],"SAVI":[262,269],"information.":[264],"average":[276,301,315,407,431],"testing":[277,302,316,432],"accuracies":[279,304,411],"24.26%":[281],"94.85%,":[283],"19.36%":[284],"95.04%,":[286,290],"19.24%":[288],"respectively":[291],"while":[292],"83.50%":[306],"96.04%.":[308],"pool":[311,336,425],"better":[314],"accuracy":[318,433],"94%":[320],"with":[321,437],"respect":[322],"other":[324,351],"models,":[326],"which":[328],"ranged":[330],"89\u201393%.":[332],"Similarly,":[333],"(r2)":[342],"value":[343,439],"0.45":[345],"as":[346,375,379,430],"compared":[347],"0.31\u20130.37":[349],"models.":[353],"Log10":[354],"transformation":[356],"technique":[357],"enhance":[361],"ability":[364],"1998,":[371,419],"2001":[374],"chosen":[378],"preferred":[381],"index.":[382],"Another":[383],"(Transformed":[385],"(Pool))":[387],"developed":[389],"log10":[392],"transformed":[393,403,427],"information":[396],"show":[398],"its":[399],"global":[400],"application.":[401],"90%,":[413],"97%,":[414],"98%":[416],"2001,":[422],"respectively.":[423],"93%":[435],"along":[436],"r2":[438],"0.72":[441],"0.05":[448],"t/ha.":[449]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":45},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":43},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2016-06-24T00:00:00"}