1474-0346
工程技術(shù)
Quarterly
No
1873-5320
ADV ENG INFORM
2002
75
ENGLAND
http://www.elsevier.com/wps/find/journaldescription.cws_home/622240/description#description
約4.5個(gè)月審稿時(shí)間
2區(qū)中科院分區(qū)
較易平均錄用比例
3.772影響因子
計(jì)算機(jī):人工智能小學(xué)科
月期刊平臺服務(wù)過的文章錄用時(shí)間為1-3個(gè)月,依據(jù)20年經(jīng)驗(yàn),經(jīng)月期刊專家預(yù)審?fù)ㄟ^后的文章,投稿通過率100%以上!
先進(jìn)的計(jì)算方法和相關(guān)技術(shù)正在改變工程師與信息基礎(chǔ)設(shè)施的交互方式。明確的知識表示形式和新的推理技術(shù)不再是計(jì)算機(jī)科學(xué)的唯一領(lǐng)域。對于工程中的知識密集型任務(wù),一種稱為工程信息學(xué)的新哲學(xué)和知識體系正在出現(xiàn)。高級工程信息學(xué)以“知識”和“工程應(yīng)用”為重點(diǎn),征集研究論文。作為國際期刊,原始論文通常:?報(bào)告應(yīng)用工程信息學(xué)方法的工程學(xué)科進(jìn)展。?具有工程相關(guān)性,有助于提供科學(xué)基礎(chǔ),使工程決策更加可靠、自發(fā)和創(chuàng)造性。?包含新的研究,證明支持知識密集型工程任務(wù)的科學(xué)性。?通過有力的評估(最好是定性和定量評估),驗(yàn)證新方法的通用性、能力和可擴(kuò)展性。此外,該雜志歡迎高質(zhì)量的評論文章,總結(jié)、比較和評估為工程信息學(xué)領(lǐng)域提出的方法和表示。同樣,歡迎對全面應(yīng)用進(jìn)行總結(jié)和比較,特別是那些科學(xué)缺陷阻礙了成功的應(yīng)用。通常,這些論文擴(kuò)大了文獻(xiàn)評論和對反映對當(dāng)前知識體系掌握程度的研究結(jié)果的討論,并提出了對當(dāng)代研究的新補(bǔ)充。缺少明確表達(dá)和使用知識的論文,例如那些描述軟計(jì)算技術(shù)、數(shù)學(xué)優(yōu)化方法、模式識別技術(shù)和數(shù)值計(jì)算方法的論文,通常不適合在期刊上發(fā)表。論文必須用自動化和支持以人工制品為中心的工程領(lǐng)域(如機(jī)械、制造、建筑、土木、電氣、運(yùn)輸、環(huán)境和化學(xué)工程)的知識密集型任務(wù)的例子來說明貢獻(xiàn)。只有在與先前報(bào)告的驗(yàn)證結(jié)果相比,能夠令人信服地證明值得注意的新功能、通用性或可擴(kuò)展性的情況下,才有資格向新的工程子域報(bào)告已建立方法的應(yīng)用。最后,僅討論軟件工程問題的論文不在本雜志的范圍內(nèi)。
http://ees.elsevier.com/advei/
Advanced computing methods and related technologies are changing the way engineers interact with the information infrastructure. Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science. For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging.Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'. As an international Journal, original papers typically:? Report progress in the engineering discipline of applying methods of engineering informatics.? Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative.? Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks.? Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively.In addition, the Journal welcomes high quality review articles that summarise, compare, and evaluate methodologies and representations that are proposed for the field of engineering informatics. Similarly, summaries and comparisons of full-scale applications are welcomed, particularly those where scientific shortcomings have hindered success. Typically, such papers have expanded literature reviews and discussion of findings that reflect mastery of the current body of knowledge and propose novel additions to contemporary research.Papers missing explicit representation and use of knowledge, such as those describing soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, do not normally qualify for publication in the Journal. Papers must illustrate contributions using examples of automating and supporting knowledge intensive tasks in artifacts-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that report application of an established method to a new engineering subdomain will qualify only if they convincingly demonstrate noteworthy new power, generality or scalability in comparison with previously reported validation results. Finally, papers that discuss software engineering issues only are not in the scope of this journal.
大類學(xué)科 | 分區(qū) | 小類學(xué)科 | 分區(qū) | Top期刊 | 綜述期刊 |
工程技術(shù) | 2區(qū) | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計(jì)算機(jī):人工智能 ENGINEERING, MULTIDISCIPLINARY 工程:綜合 | 2區(qū) 2區(qū) | 否 | 否 |
JCR分區(qū)等級 | JCR所屬學(xué)科 | 分區(qū) | 影響因子 |
Q1 | ENGINEERING, MULTIDISCIPLINARY | Q1 | 7.862 |
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q1 |
CiteScore | SJR | SNIP | 學(xué)科類別 | 分區(qū) | 排名 | 百分位 |
10.10 | 1.601 | 2.202 | 大類:Engineering 小類:Building and Construction | Q1 | 13 / 211 |
94% |
大類:Engineering 小類:Information Systems | Q1 | 31 / 353 |
91% |
|||
大類:Engineering 小類:Artificial Intelligence | Q1 | 32 / 269 |
88% |
影響因子 | h-index | Gold OA文章占比 | 研究類文章占比 | OA開放訪問 | 平均審稿速度 |
7.862 | 68 | 5.54% | 96.65% | 未開放 | 約4.5個(gè)月 |
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立即咨詢大類學(xué)科同領(lǐng)域優(yōu)質(zhì)期刊 | 大類學(xué)科 | 小類學(xué)科 | 影響因子 | 分區(qū) | ISSN |
---|---|---|---|---|---|
ADAPTIVE BEHAVIOR | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 1.362 | N/A | 1059-7123 |
ADVANCED ENGINEERING INFORMATICS | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 3.772 | 2區(qū) | 1474-0346 |
Advances in Electrical and Computer Engineering | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 0.65 | N/A | 1582-7445 |
AI COMMUNICATIONS | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 0.765 | N/A | 0921-7126 |
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 0.894 | N/A | 0890-0604 |
AI MAGAZINE | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 1.316 | N/A | 0738-4602 |
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 1.011 | N/A | 1012-2443 |
APPLIED ARTIFICIAL INTELLIGENCE | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 0.988 | 4區(qū) | 0883-9514 |
APPLIED INTELLIGENCE | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 2.882 | 3區(qū) | 0924-669X |
APPLIED SOFT COMPUTING | 工程技術(shù) | 計(jì)算機(jī):人工智能 | 4.873 | 2區(qū) | 1568-4946 |
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