Publication Information

{'id': 'https://openalex.org/W2391683795', 'doi': None, 'title': 'Background Self-learning Framework for Bio Information Extraction from Hyperspectral Images', 'display_name': 'Background Self-learning Framework for Bio Information Extraction from Hyperspectral Images', 'publication_year': 2015, 'publication_date': '2015-01-01', 'ids': {'openalex': 'https://openalex.org/W2391683795', 'mag': '2391683795'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTotal-JSJA201504060.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S57947533', 'display_name': 'Computer Science', 'issn_l': '1508-2806', 'issn': ['1508-2806', '2300-7036'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320333', 'host_organization_name': 'Wydawnictwa AGH', 'host_organization_lineage': ['https://openalex.org/P4310320333'], 'host_organization_lineage_names': ['Wydawnictwa AGH'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5101886849', 'display_name': 'Yuxian Zhang', 'orcid': 'https://orcid.org/0000-0002-7337-9141'}, 'institutions': [{'id': 'https://openalex.org/I37461747', 'display_name': 'Wuhan University', 'ror': 'https://ror.org/033vjfk17', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I37461747']}, {'id': 'https://openalex.org/I4210118728', 'display_name': 'State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing', 'ror': 'https://ror.org/02bpap860', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I4210118728']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Zhang Yu-xian', 'raw_affiliation_strings': ['State key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University'], 'affiliations': [{'raw_affiliation_string': 'State key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University', 'institution_ids': ['https://openalex.org/I37461747', 'https://openalex.org/I4210118728']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': ['https://openalex.org/A5101886849'], 'corresponding_institution_ids': ['https://openalex.org/I37461747', 'https://openalex.org/I4210118728'], 'apc_list': {'value': 0, 'currency': 'USD', 'value_usd': 0, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 66}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11667', 'display_name': 'Advanced Chemical Sensor Technologies', 'score': 0.862, 'subfield': {'id': 'https://openalex.org/subfields/2204', 'display_name': 'Biomedical Engineering'}, '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/T11667', 'display_name': 'Advanced Chemical Sensor Technologies', 'score': 0.862, 'subfield': {'id': 'https://openalex.org/subfields/2204', 'display_name': 'Biomedical Engineering'}, '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/T11324', 'display_name': 'Spectroscopy Techniques in Biomedical and Chemical Research', 'score': 0.8516, 'subfield': {'id': 'https://openalex.org/subfields/1304', 'display_name': 'Biophysics'}, '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'}}, {'id': 'https://openalex.org/T10640', 'display_name': 'Spectroscopy and Chemometric Analyses', 'score': 0.8376, 'subfield': {'id': 'https://openalex.org/subfields/1602', 'display_name': 'Analytical Chemistry'}, 'field': {'id': 'https://openalex.org/fields/16', 'display_name': 'Chemistry'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [], 'concepts': [{'id': 'https://openalex.org/C159078339', 'wikidata': 'https://www.wikidata.org/wiki/Q959005', 'display_name': 'Hyperspectral imaging', 'level': 2, 'score': 0.97963893}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.86659676}, {'id': 'https://openalex.org/C2777826928', 'wikidata': 'https://www.wikidata.org/wiki/Q3745713', 'display_name': 'Fingerprint (computing)', 'level': 2, 'score': 0.682483}, {'id': 'https://openalex.org/C195807954', 'wikidata': 'https://www.wikidata.org/wiki/Q1662562', 'display_name': 'Information extraction', 'level': 2, 'score': 0.6723107}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.65615386}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.5919875}, {'id': 'https://openalex.org/C98045186', 'wikidata': 'https://www.wikidata.org/wiki/Q205663', 'display_name': 'Process (computing)', 'level': 2, 'score': 0.5274057}, {'id': 'https://openalex.org/C4725764', 'wikidata': 'https://www.wikidata.org/wiki/Q844704', 'display_name': 'Extraction (chemistry)', 'level': 2, 'score': 0.4916168}, {'id': 'https://openalex.org/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, 'score': 0.43328232}, {'id': 'https://openalex.org/C159620131', 'wikidata': 'https://www.wikidata.org/wiki/Q1938983', 'display_name': 'Spatial analysis', 'level': 2, 'score': 0.4176957}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.37882596}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.33979362}, {'id': 'https://openalex.org/C62649853', 'wikidata': 'https://www.wikidata.org/wiki/Q199687', 'display_name': 'Remote sensing', 'level': 1, 'score': 0.24943155}, {'id': 'https://openalex.org/C185592680', 'wikidata': 'https://www.wikidata.org/wiki/Q2329', 'display_name': 'Chemistry', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C43617362', 'wikidata': 'https://www.wikidata.org/wiki/Q170050', 'display_name': 'Chromatography', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C127313418', 'wikidata': 'https://www.wikidata.org/wiki/Q1069', 'display_name': 'Geology', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C111919701', 'wikidata': 'https://www.wikidata.org/wiki/Q9135', 'display_name': 'Operating system', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTotal-JSJA201504060.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S57947533', 'display_name': 'Computer Science', 'issn_l': '1508-2806', 'issn': ['1508-2806', '2300-7036'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320333', 'host_organization_name': 'Wydawnictwa AGH', 'host_organization_lineage': ['https://openalex.org/P4310320333'], 'host_organization_lineage_names': ['Wydawnictwa AGH'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3131451942', 'https://openalex.org/W3039793041', 'https://openalex.org/W3007010417', 'https://openalex.org/W2991008424', 'https://openalex.org/W2988188869', 'https://openalex.org/W2902978609', 'https://openalex.org/W2896506578', 'https://openalex.org/W2832339144', 'https://openalex.org/W2809135057', 'https://openalex.org/W2776456086', 'https://openalex.org/W2625602637', 'https://openalex.org/W2553962113', 'https://openalex.org/W2361853549', 'https://openalex.org/W2360224375', 'https://openalex.org/W2333428228', 'https://openalex.org/W2163739148', 'https://openalex.org/W2132581010', 'https://openalex.org/W2083170051', 'https://openalex.org/W2000114968', 'https://openalex.org/W1556772415'], 'abstract_inverted_index': {'Physical': [0], 'or': [1], 'chemical': [2], 'methods': [3, 17], 'are': [4], 'commonly': [5], 'used': [6], 'to': [7, 61, 90, 119], 'extract': [8, 120], 'certain': [9], 'bio': [10, 28, 127, 142], 'information,such': [11], 'as': [12], 'fingerprint': [13, 121], 'extraction,tumor': [14], 'region': [15, 124], 'detection,etc.These': [16], 'may': [18, 87], 'not': [19, 54], 'only': [20], 'be': [21, 33, 43, 55, 59, 62, 88, 114], 'time-consuming,but': [22], 'also': [23], 'possibly': [24], 'damage': [25], 'the': [26, 46, 50, 65, 82, 93, 108, 132, 135, 141], 'entire': [27], 'information': [29, 47, 52, 70, 143], 'carrier.Meanwhile,the': [30], 'process': [31], 'cannot': [32], 'recurred': [34], 'and': [35, 57, 122, 134], 'reach': [36], 'a': [37, 78, 97], 'satisfactory': [38], 'accuracy.A': [39], 'new': [40], 'technique,hyperspectral': [41], 'imaging,can': [42], 'adopted': [44], 'for': [45, 140], 'extraction,by': [48], 'which': [49], 'origin': [51], 'will': [53], 'contaminated': [56], 'can': [58, 104, 113], 'able': [60], 'acquired': [63], 'from': [64, 73, 125, 145], 'image': [66], 'repeatedly.We': [67], 'proposed': [68, 102], 'an': [69], 'extraction': [71, 144], 'method': [72, 103, 139], 'hyperspectral': [74, 126, 146], 'images': [75], 'based': [76], 'on': [77], 'background': [79, 85, 94], 'self-learning': [80], 'framework.In': [81], 'conventional': [83], 'unstructured': [84], 'models,it': [86], 'difficult': [89], 'accurately': [91], 'estimate': [92], 'statistics,neither': [95], 'in': [96], 'global': [98], 'nor': [99], 'local': [100], 'way.The': [101], 'avoid': [105], 'this': [106], 'problem.Considering': [107], 'spatial': [109], 'spectral': [110], 'information,its': [111], 'performance': [112], 'further': [115], 'improved.It': [116], 'is': [117], 'designed': [118], 'tumor': [123], 'images.The': [128], 'experimental': [129], 'results': [130], 'show': [131], 'validity': [133], 'superiority': [136], 'of': [137], 'our': [138], 'images.': [147]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2391683795', 'counts_by_year': [], 'updated_date': '2024-12-15T16:19:13.497099', 'created_date': '2016-06-24'}