{"id":"https://openalex.org/W4289883772","doi":"https://doi.org/10.1007/s12145-022-00854-z","title":"Comparative analysis of machine learning algorithms and statistical models for predicting crown width of Larix olgensis","display_name":"Comparative analysis of machine learning algorithms and statistical models for predicting crown width of Larix olgensis","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4289883772","doi":"https://doi.org/10.1007/s12145-022-00854-z"},"language":"en","primary_location":{"id":"doi:10.1007/s12145-022-00854-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-022-00854-z","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5030292302","display_name":"Siyu Qiu","orcid":"https://orcid.org/0000-0003-2497-5331"},"institutions":[{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Qiu","raw_affiliation_strings":["National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"]},{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112856483","display_name":"Ruiting Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiting Liang","raw_affiliation_strings":["National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"]},{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120491885","display_name":"Yifu Wang","orcid":"https://orcid.org/0000-0002-7901-483X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifu Wang","raw_affiliation_strings":["National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"]},{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101014518","display_name":"Mi Luo","orcid":"https://orcid.org/0009-0009-9524-2654"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mi Luo","raw_affiliation_strings":["National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"]},{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101431069","display_name":"Yujun Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yujun Sun","raw_affiliation_strings":["National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"]},{"raw_affiliation_string":"National Forestry and Grassland Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101431069"],"corresponding_institution_ids":["https://openalex.org/I31683504","https://openalex.org/I4210134523"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":1.8351,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84331329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"2415","last_page":"2429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T11880","display_name":"Forest ecology and management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9919999837875366,"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/algorithm","display_name":"Algorithm","score":0.630382776260376},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5901952981948853},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5432897210121155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5195001363754272},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5058519840240479},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.4918479919433594},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.47511157393455505},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.47450822591781616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4695242941379547},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.45737600326538086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4471035897731781},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.44360464811325073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.42207515239715576},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4220055937767029},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.347969114780426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2720944583415985}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.630382776260376},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5901952981948853},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5432897210121155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5195001363754272},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5058519840240479},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.4918479919433594},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.47511157393455505},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.47450822591781616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4695242941379547},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.45737600326538086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4471035897731781},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.44360464811325073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.42207515239715576},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4220055937767029},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.347969114780426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2720944583415985}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12145-022-00854-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12145-022-00854-z","pdf_url":null,"source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W195870017","https://openalex.org/W769707645","https://openalex.org/W901507695","https://openalex.org/W1963988599","https://openalex.org/W1971492281","https://openalex.org/W1993147091","https://openalex.org/W1997485073","https://openalex.org/W1997632044","https://openalex.org/W2014681113","https://openalex.org/W2018985705","https://openalex.org/W2020691931","https://openalex.org/W2044904134","https://openalex.org/W2053898741","https://openalex.org/W2067700218","https://openalex.org/W2101464256","https://openalex.org/W2109584091","https://openalex.org/W2140911091","https://openalex.org/W2143523796","https://openalex.org/W2168053022","https://openalex.org/W2168423648","https://openalex.org/W2277579754","https://openalex.org/W2304476603","https://openalex.org/W2560872651","https://openalex.org/W2576700356","https://openalex.org/W2742478052","https://openalex.org/W2754717564","https://openalex.org/W2789751949","https://openalex.org/W2801946419","https://openalex.org/W2803577122","https://openalex.org/W2808986124","https://openalex.org/W2810919118","https://openalex.org/W2822665421","https://openalex.org/W2894562091","https://openalex.org/W2894917792","https://openalex.org/W2946545385","https://openalex.org/W2998069719","https://openalex.org/W3000746260","https://openalex.org/W3004343334","https://openalex.org/W3015197924","https://openalex.org/W3031105282","https://openalex.org/W3047757590","https://openalex.org/W3088150383","https://openalex.org/W3103943114","https://openalex.org/W3116968219","https://openalex.org/W3127126797","https://openalex.org/W3135608248","https://openalex.org/W3153665784","https://openalex.org/W3160966265","https://openalex.org/W3169299971","https://openalex.org/W3172235516","https://openalex.org/W3183109142","https://openalex.org/W3186294139","https://openalex.org/W3197848563","https://openalex.org/W3200331759","https://openalex.org/W3202279951","https://openalex.org/W3211624569","https://openalex.org/W3216212980","https://openalex.org/W4200170805","https://openalex.org/W4205327979","https://openalex.org/W4206439534","https://openalex.org/W4206678295","https://openalex.org/W4206925886","https://openalex.org/W4207069058","https://openalex.org/W4220693582","https://openalex.org/W4220996858","https://openalex.org/W4221076616","https://openalex.org/W4223556311","https://openalex.org/W4225160245","https://openalex.org/W4256145921"],"related_works":["https://openalex.org/W4212956667","https://openalex.org/W4296081764","https://openalex.org/W4318350883","https://openalex.org/W4382118046","https://openalex.org/W3201348321","https://openalex.org/W3177321454","https://openalex.org/W4281866327","https://openalex.org/W4293087678","https://openalex.org/W4382701299","https://openalex.org/W4308191010"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}