Journal Title：Image Processing On Line
Image Processing on Line is an international open access journal dedicated to the fields of image processing and image analysis. The purpose of establishing the journal is to promote scientific research in the field of image processing, with a particular emphasis on the mathematical foundation of algorithm design and the reproducibility of research. The distinctive feature of the magazine is that each published article includes detailed algorithm descriptions, relevant source code, as well as online demonstration tools and experimental archives. These contents have undergone peer review to ensure their scientific quality and practicality. The online presentation tool of the journal allows readers to conduct interactive experiments, experience and verify the performance of algorithms directly on the webpage, greatly increasing the transparency and accessibility of research.
The journal has a wide readership, including researchers, engineers, students, and professionals interested in image processing technology from the academic community. Magazines are not only platforms for publishing original research, but also important resources for education and training, helping readers deepen their understanding and application of advanced image processing technologies. The editorial committee of the magazine is composed of internationally renowned experts in the field of image processing, who are responsible for overseeing the academic quality and editing process of the journal. The open access policy of journals means that all articles can be accessed online for free, which promotes the widespread dissemination of knowledge and collaboration within the scientific community.
《在線圖像處理》是一本專注于圖像處理和圖像分析領(lǐng)域的國(guó)際開(kāi)放獲取期刊。期刊成立的宗旨是推動(dòng)圖像處理領(lǐng)域的科學(xué)研究，特別強(qiáng)調(diào)算法設(shè)計(jì)的數(shù)學(xué)基礎(chǔ)和研究的可重復(fù)性。雜志的特色在于每篇發(fā)表的文章都包含詳細(xì)的算法描述、相關(guān)的源代碼，以及在線演示工具和實(shí)驗(yàn)檔案。這些內(nèi)容都經(jīng)過(guò)同行評(píng)審，以確保其科學(xué)質(zhì)量和實(shí)用性。期刊的在線演示工具允許讀者直接在網(wǎng)頁(yè)上進(jìn)行交互式實(shí)驗(yàn)，體驗(yàn)和驗(yàn)證算法的性能，這大大增加了研究的透明度和可訪問(wèn)性。
該期刊的讀者群體廣泛，包括學(xué)術(shù)界的研究者、工程師、學(xué)生以及對(duì)圖像處理技術(shù)感興趣的專業(yè)人士。雜志不僅是發(fā)表原創(chuàng)研究的平臺(tái)，也是教育和培訓(xùn)的重要資源，幫助讀者深入理解和應(yīng)用先進(jìn)的圖像處理技術(shù)。雜志的編輯委員會(huì)由圖像處理領(lǐng)域的國(guó)際知名專家組成，他們負(fù)責(zé)監(jiān)督期刊的學(xué)術(shù)質(zhì)量和編輯流程。期刊的開(kāi)放獲取政策意味著所有文章都可以免費(fèi)在線訪問(wèn)，這促進(jìn)了知識(shí)的廣泛傳播和科學(xué)界的合作。
Image Processing On Line由Image Processing On Line出版商出版，收稿方向涵蓋COMPUTER SCIENCE, SOFTWARE ENGINEERING全領(lǐng)域，平均審稿速度 16 Weeks ，影響因子指數(shù)0.7，該期刊近期沒(méi)有被列入國(guó)際期刊預(yù)警名單，廣大學(xué)者值得一試。
| 按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
| 學(xué)科：COMPUTER SCIENCE, SOFTWARE ENGINEERING | ESCI | Q4 | 117 / 131 |
11.1% |
| 按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
| 學(xué)科：COMPUTER SCIENCE, SOFTWARE ENGINEERING | ESCI | Q4 | 119 / 131 |
9.54% |
名詞解釋：
WOS即Web of Science，是全球獲取學(xué)術(shù)信息的重要數(shù)據(jù)庫(kù)，Web of Science包括自然科學(xué)、社會(huì)科學(xué)、藝術(shù)與人文領(lǐng)域的信息，來(lái)自全世界近9,000種最負(fù)盛名的高影響力研究期刊及12,000多種學(xué)術(shù)會(huì)議多學(xué)科內(nèi)容。給期刊分區(qū)時(shí)會(huì)按照某一個(gè)學(xué)科領(lǐng)域劃分，根據(jù)這一學(xué)科所有按照影響因子數(shù)值降序排名，然后平均分成4等份，期刊影響因子值高的就會(huì)在高分區(qū)中，最后的劃分結(jié)果分別是Q1，Q2，Q3，Q4，Q1代表質(zhì)量最高。
| CiteScore | SJR | SNIP | CiteScore排名 | ||||||||||||
| 1.9 | 0.266 | 0.477 |
|
名詞解釋：
CiteScore：衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)。
SJR:SCImago 期刊等級(jí)衡量經(jīng)過(guò)加權(quán)后的期刊受引用次數(shù)。引用次數(shù)的加權(quán)值由施引期刊的學(xué)科領(lǐng)域和聲望 (SJR) 決定。
SNIP:每篇文章中來(lái)源出版物的標(biāo)準(zhǔn)化影響將實(shí)際受引用情況對(duì)照期刊所屬學(xué)科領(lǐng)域中預(yù)期的受引用情況進(jìn)行衡量。
| 是否OA開(kāi)放訪問(wèn)： | h-index： | 年文章數(shù)： |
| 開(kāi)放 | -- | 17 |
| Gold OA文章占比： | 2021-2022最新影響因子（數(shù)據(jù)來(lái)源于搜索引擎）: | 開(kāi)源占比（OA被引用占比）： |
| 98.39% | 0.7 | |
| 研究類文章占比：文章 ÷（文章 + 綜述） | 期刊收錄： | 中科院《國(guó)際期刊預(yù)警名單（試行）》名單： |
| 94.12% | SCIE | 否 |
歷年IF值(影響因子)：
歷年引文指標(biāo)和發(fā)文量：
歷年自引數(shù)據(jù)：
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