《Ieee Transactions On Neural Networks And Learning Systems》雜志影響因子：10.2。
期刊Ieee Transactions On Neural Networks And Learning Systems近年評價(jià)數(shù)據(jù)趨勢圖
期刊影響因子趨勢圖
以下是一些常見的影響因子查詢?nèi)肟冢?
（1）Web of Science：是查詢SCI期刊影響因子的權(quán)威平臺，收錄全球高質(zhì)量學(xué)術(shù)期刊，提供詳細(xì)的期刊引證報(bào)告，包括影響因子、分區(qū)、被引頻次等關(guān)鍵指標(biāo)。
（2）?Journal Citation Reports (JCR)：JCR是科睿唯安旗下的一個(gè)網(wǎng)站，提供了期刊影響因子、引用數(shù)據(jù)和相關(guān)指標(biāo)。用戶可以在該網(wǎng)站上查找特定期刊的影響因子信息。
（3）中科院SCI期刊分區(qū)表：提供中科院分區(qū)的期刊數(shù)據(jù)查詢，包括影響因子和分區(qū)信息。
《Ieee Transactions On Neural Networks And Learning Systems》雜志是由IEEE Computational Intelligence Society出版社主辦的一本以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, HARDWARE & ARCHITECTURE為研究方向，OA非開放（Not Open Access）的國際優(yōu)秀期刊。
該雜志出版語言為English，創(chuàng)刊于2012年。自創(chuàng)刊以來，已被SCIE（科學(xué)引文索引擴(kuò)展板）等國內(nèi)外知名檢索系統(tǒng)收錄。該雜志發(fā)表了高質(zhì)量的論文，重點(diǎn)介紹了COMPUTER SCIENCE, HARDWARE & ARCHITECTURE在分析和實(shí)踐中的理論、研究和應(yīng)用。
?學(xué)術(shù)地位：在JCR分區(qū)中位列Q1區(qū)，中科院分區(qū)為計(jì)算機(jī)科學(xué)大類1區(qū)，COMPUTER SCIENCE, HARDWARE & ARCHITECTURE計(jì)算機(jī)：硬件小類1區(qū)。
期刊發(fā)文分析
機(jī)構(gòu)發(fā)文量統(tǒng)計(jì)
| 機(jī)構(gòu) | 發(fā)文量 |
| CHINESE ACADEMY OF SCIENCES | 155 |
| NORTHWESTERN POLYTECHNICAL UNIVERSITY | 60 |
| CITY UNIVERSITY OF HONG KONG | 58 |
| NANJING UNIVERSITY OF SCIENCE & TECHNOLOGY | 51 |
| SOUTHEAST UNIVERSITY - CHINA | 48 |
| HARBIN INSTITUTE OF TECHNOLOGY | 41 |
| TSINGHUA UNIVERSITY | 40 |
| GUANGDONG UNIVERSITY OF TECHNOLOGY | 38 |
| UNIVERSITY OF MACAU | 36 |
| UNIVERSITY OF TECHNOLOGY SYDNEY | 36 |
國家 / 地區(qū)發(fā)文量統(tǒng)計(jì)
| 國家 / 地區(qū) | 發(fā)文量 |
| CHINA MAINLAND | 929 |
| USA | 278 |
| Australia | 149 |
| England | 98 |
| Singapore | 60 |
| Canada | 54 |
| Italy | 49 |
| South Korea | 42 |
| Japan | 31 |
| France | 23 |
期刊引用數(shù)據(jù)次數(shù)統(tǒng)計(jì)
| 期刊引用數(shù)據(jù) | 引用次數(shù) |
| IEEE T NEUR NET LEAR | 1628 |
| IEEE T PATTERN ANAL | 460 |
| IEEE T CYBERNETICS | 355 |
| AUTOMATICA | 348 |
| IEEE T AUTOMAT CONTR | 303 |
| IEEE T IMAGE PROCESS | 301 |
| NEUROCOMPUTING | 296 |
| J MACH LEARN RES | 226 |
| NEURAL NETWORKS | 206 |
| IEEE T SYST MAN CY-S | 141 |
期刊被引用數(shù)據(jù)次數(shù)統(tǒng)計(jì)
| 期刊被引用數(shù)據(jù) | 引用次數(shù) |
| IEEE ACCESS | 2485 |
| NEUROCOMPUTING | 1779 |
| IEEE T NEUR NET LEAR | 1628 |
| IEEE T CYBERNETICS | 693 |
| J FRANKLIN I | 476 |
| IEEE T SYST MAN CY-S | 467 |
| NEURAL NETWORKS | 466 |
| NEURAL COMPUT APPL | 463 |
| NEURAL PROCESS LETT | 426 |
| INFORM SCIENCES | 333 |
文章引用數(shù)據(jù)次數(shù)統(tǒng)計(jì)
| 文章引用數(shù)據(jù) | 引用次數(shù) |
| Object Detection With Deep Learning: A Rev... | 201 |
| Adaptive Fuzzy Neural Network Control for ... | 121 |
| Efficient kNN Classification With Differen... | 110 |
| Broad Learning System: An Effective and Ef... | 103 |
| Dendritic Neuron Model With Effective Lear... | 80 |
| Adversarial Examples: Attacks and Defenses... | 77 |
| Consensus of Hybrid Multi-Agent Systems | 71 |
| Applications of Deep Learning and Reinforc... | 67 |
| From Deterministic to Generative: Multimod... | 66 |
| Exploring Auxiliary Context: Discrete Sema... | 62 |
