{"id":"https://openalex.org/W4408609833","doi":"https://doi.org/10.1186/s40537-025-01078-w","title":"Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline","display_name":"Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4408609833","doi":"https://doi.org/10.1186/s40537-025-01078-w"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01078-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01078-w","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01078-w","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01078-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050552402","display_name":"Pei-Hsiu Kao","orcid":"https://orcid.org/0009-0005-0733-8068"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Pei-Hsiu Kao","raw_affiliation_strings":["Faculty of Science, The University of Melbourne, Melbourne, VIC, 3052, Australia","Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, 3052, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, The University of Melbourne, Melbourne, VIC, 3052, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, 3052, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013076769","display_name":"Supaporn Baiya","orcid":"https://orcid.org/0000-0002-2641-8101"},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supaporn Baiya","raw_affiliation_strings":["Department of Resource and Environment, Faculty of Science at Sriracha, Kasetsart University at Sriracha Campus, Sriracha, Chonburi, 20230, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Resource and Environment, Faculty of Science at Sriracha, Kasetsart University at Sriracha Campus, Sriracha, Chonburi, 20230, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chong-Wei Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chong-Wei Lee","raw_affiliation_strings":["Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chia-Wen Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Tseng","raw_affiliation_strings":["Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091736927","display_name":"Shuyun Chen","orcid":"https://orcid.org/0000-0001-6116-0874"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Yun Chen","raw_affiliation_strings":["Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056070075","display_name":"Yen-Hsiang Huang","orcid":"https://orcid.org/0009-0004-6353-0399"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Hsiang Huang","raw_affiliation_strings":["Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086367033","display_name":"Chung-Feng Kao","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Feng Kao","raw_affiliation_strings":["Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, No. 145, Xingda Road, Taichung, 402, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5050552402"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":11.1827,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98125933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12571","display_name":"Soybean genetics and cultivation","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12571","display_name":"Soybean genetics and cultivation","score":0.9993000030517578,"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/T11229","display_name":"Genetics and Plant Breeding","score":0.9901999831199646,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7741875052452087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7104188203811646},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.7058210372924805},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.704982340335846},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6958370208740234},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6300927400588989},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5499401688575745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3875146806240082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3212150037288666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2789769172668457},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1128993034362793},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.10438081622123718},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08222731947898865},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.07720646262168884},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07141292095184326}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7741875052452087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7104188203811646},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.7058210372924805},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.704982340335846},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6958370208740234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6300927400588989},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5499401688575745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3875146806240082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3212150037288666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2789769172668457},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1128993034362793},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.10438081622123718},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08222731947898865},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.07720646262168884},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07141292095184326},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01078-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01078-w","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01078-w","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5a8d8f2eac234b9fb7236a7c0e027c27","is_oa":true,"landing_page_url":"https://doaj.org/article/5a8d8f2eac234b9fb7236a7c0e027c27","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 12, Iss 1, Pp 1-30 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01078-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01078-w","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01078-w","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6002611385","display_name":null,"funder_award_id":"NSTC 112-2622-B-005-001","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408609833.pdf"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1485293642","https://openalex.org/W1572253537","https://openalex.org/W1677397773","https://openalex.org/W1966327575","https://openalex.org/W1968659469","https://openalex.org/W1980244265","https://openalex.org/W1980768112","https://openalex.org/W1986630228","https://openalex.org/W2000860171","https://openalex.org/W2005000697","https://openalex.org/W2006055706","https://openalex.org/W2015864481","https://openalex.org/W2020635180","https://openalex.org/W2025551467","https://openalex.org/W2032622266","https://openalex.org/W2047460283","https://openalex.org/W2050098512","https://openalex.org/W2053782111","https://openalex.org/W2056840383","https://openalex.org/W2063912164","https://openalex.org/W2068843612","https://openalex.org/W2086650947","https://openalex.org/W2088415275","https://openalex.org/W2108255332","https://openalex.org/W2123191460","https://openalex.org/W2162905217","https://openalex.org/W2171294515","https://openalex.org/W2255699202","https://openalex.org/W2282861752","https://openalex.org/W2296831760","https://openalex.org/W2320783522","https://openalex.org/W2333886940","https://openalex.org/W2339022933","https://openalex.org/W2484913097","https://openalex.org/W2485566862","https://openalex.org/W2589515024","https://openalex.org/W2623449070","https://openalex.org/W2781865485","https://openalex.org/W2808077797","https://openalex.org/W2924366642","https://openalex.org/W2940301420","https://openalex.org/W2954572972","https://openalex.org/W2980183958","https://openalex.org/W2982619951","https://openalex.org/W2997022986","https://openalex.org/W3000664097","https://openalex.org/W3011431751","https://openalex.org/W3015741116","https://openalex.org/W3016317844","https://openalex.org/W3028010594","https://openalex.org/W3082507982","https://openalex.org/W3093598551","https://openalex.org/W3125847321","https://openalex.org/W3138615215","https://openalex.org/W3155147313","https://openalex.org/W3172250376","https://openalex.org/W3179770222","https://openalex.org/W3213078510","https://openalex.org/W4200475606","https://openalex.org/W4214859802","https://openalex.org/W4220997087","https://openalex.org/W4284689541","https://openalex.org/W4298141959","https://openalex.org/W4308782065","https://openalex.org/W4312205655","https://openalex.org/W4313250864","https://openalex.org/W4319081150","https://openalex.org/W4360862854","https://openalex.org/W4382931729","https://openalex.org/W4386318528","https://openalex.org/W4391967006","https://openalex.org/W6632478615","https://openalex.org/W6637370485"],"related_works":["https://openalex.org/W4393232657","https://openalex.org/W4398232961","https://openalex.org/W3037187668","https://openalex.org/W4390638272","https://openalex.org/W2750075801","https://openalex.org/W3164948662","https://openalex.org/W4400413234","https://openalex.org/W3153597579","https://openalex.org/W4394398790","https://openalex.org/W4399455186"],"abstract_inverted_index":{"Soybean":[0],"(Glycine":[1],"max":[2],"L.)":[3],"is":[4,11],"an":[5],"important":[6],"global":[7],"food":[8],"crop":[9,215],"but":[10],"highly":[12],"vulnerable":[13],"to":[14,51,73,141,149,154,213],"drought":[15,171],"stress,":[16],"which":[17],"significantly":[18],"impact":[19],"agricultural":[20,220],"productivity.":[21,221],"Conventional":[22],"methods":[23],"for":[24,192],"identifying":[25,193],"key":[26,167],"drought-tolerant":[27],"genes":[28,195],"(DTgenes),":[29],"such":[30],"as":[31],"weighted":[32],"gene":[33,45],"co-expression":[34],"network":[35],"analysis":[36,136],"(WGCNA),":[37],"are":[38],"resource-intensive,":[39],"inefficient,":[40],"and":[41,57,87,94,99,107,120,151,177,189,217],"rely":[42],"solely":[43],"on":[44],"expression":[46],"data,":[47],"limiting":[48],"their":[49],"capacity":[50],"integrate":[52],"multi-dimensional":[53,97],"datasets,":[54],"reduce":[55],"noise,":[56,150],"produce":[58],"reliable":[59],"outcomes.":[60],"In":[61],"this":[62],"study,":[63],"we":[64],"propose":[65],"a":[66,187,210],"novel":[67],"data-driven":[68],"feature":[69,105],"engineering":[70],"(DFE)":[71],"pipeline":[72,79,129,145,185],"address":[74],"these":[75],"limitations.":[76],"The":[77,124,159],"DFE":[78,128,144,184],"integrates":[80],"diverse":[81,138],"genetic":[82],"data":[83,90],"from":[84],"cloud-based":[85],"sources,":[86],"applies":[88],"systematic":[89],"extraction,":[91],"transformation,":[92],"loading,":[93],"integration":[95],"of":[96,126,137,164],"omics":[98],"non-omics":[100],"datasets.":[101,139],"By":[102],"employing":[103],"robust":[104,211],"prioritization":[106],"pathway-level":[108],"functional":[109],"evidence,":[110],"it":[111],"identifies":[112],"biologically":[113,156],"relevant":[114],"candidate":[115],"genes,":[116],"minimizing":[117],"false":[118],"positives":[119],"enhancing":[121],"discovery":[122],"accuracy.":[123],"superiority":[125],"the":[127,143,152,162,165,183,202],"was":[130],"demonstrated":[131,146],"under":[132],"conditions":[133],"requiring":[134],"integrative":[135],"Compared":[140],"WGCNA,":[142],"superior":[147],"robustness":[148],"ability":[153],"uncover":[155],"meaningful":[157],"insights.":[158],"validation":[160],"confirms":[161],"credibility":[163],"identified":[166],"DTgenes":[168],"in":[169,179,196],"conferring":[170],"tolerance":[172],"response.":[173],"Beyond":[174],"improving":[175],"efficiency":[176],"precision":[178],"soybean":[180],"breeding":[181],"programs,":[182],"provides":[186],"scalable":[188],"adaptable":[190],"framework":[191],"critical":[194],"other":[197],"crops.":[198],"This":[199],"innovation":[200],"addresses":[201],"pressing":[203],"challenges":[204],"posed":[205],"by":[206],"climate":[207],"change,":[208],"offering":[209],"solution":[212],"enhance":[214],"resilience":[216],"ensure":[218],"sustainable":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}