数学与计算生物学方向容易接收的SCI期刊

所属栏目：学术知识
发布时间：2023-05-11 17:30:32 更新时间：2023-05-19 17:15:43

1：Mathematical Biosciences and Engineering创刊于2004年，出版周期是Quarterly，目前的影响因子是1.313，根据网友评价审稿速度大概是>12周，或约稿录用比例是容易。

英文简介：Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing.MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).

中文简介：《数学生物科学与工程》(MBE)是一本跨学科的开放获取期刊，旨在促进关于复杂数据和信息处理的前沿研究、技术转移和知识翻译。MBE发表研究论文(长篇原创研究);通讯(短而新颖的研究);解释性文件;技术转让和知识翻译报告(新技术、新产品说明);公告和行业进展及新闻(公告甚至广告，包括重大会议)。

2：Computational Intelligence and Neuroscience目前的影响因子是2.154，。

英文简介：Computational Intelligence and Neuroscience is a forum for the interdisciplinary field of neural computing, neural engineering and artificial intelligence, where neuroscientists, cognitive scientists, engineers, psychologists, physicists, computer scientists, and artificial intelligence investigators among others can publish their work in one periodical that bridges the gap between neuroscience, artificial intelligence and engineering.The journal provides research and review papers at an interdisciplinary level, with the field of intelligent systems for computational neuroscience as its focus. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. All items relevant to building theoretical and practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and innovative applications.The journal spans the disciplines of computer science, mathematics, physics, psychology, cognitive science, medicine and neurobiology amongst others. Work on computational intelligence and neuroscience refers to work on theoretical and computational aspects of the development and functioning of the nervous system, which can be at the level of networks of neurons or at the cellular or the sub-cellular level.Topics of the journal include but are not limited to computational, theoretical, experimental, clinical and applied aspects of the following:Neural modeling and neural-computationNeural signal processingBrain-computer interfacingNeuron-electronicsNeurofeedback, neural rehabilitationNeuroinformaticsBrain waves, neuroimaging (fMRI, EEG, MEG, PET, NIR)Neural circuits: artificial and biologicalNeural control and neural system analysisLearning theory (supervised/unsupervised/reinforcement learning)Knowledge based neural networks, probabilistic, spatial, and temporal knowledge representation and reasoningLearning ClassifiersFusion of neural network- fuzzy systems- evolutionary algorithmsBiologically inspired Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)Bayesian networks and probabilistic reasoningSwarm intelligence, Ant colony optimization, Multi-agent systemsComputational aspects of perceptual systems; Perception of different (visual, auditory and tactile) modalities; Perception and selective attentionLong-term, Short-term, and Working memoryMulti-level (neural, psychological, computational) analysis of cognitive phenomenaIntegrated theories of natural and artificial cognitive systemsInformation-theoretic, control-theoretic, and decision-theoretic approaches to neuroscienceMulti-disciplinary computational approaches to the study of creativity, learning, knowledge and inference, emotion and motivation, awareness and consciousness, perception and action, decision making and action, etc.Cognitive systems from artificial life, dynamical systems, complex systems perspectivesNeurobiologically inspired evolutionary systemsFeatured contributions will fall into original research papers or review articles. Articles are expected to be high quality contributions representing new and significant research, developments or applications of practical use and value. Decisions will be made based on originality, technical soundness, clarity of exposition, scientific contribution and multidisciplinary impact of the article.

中文简介：计算智能和神经科学是一个跨学科领域的论坛神经计算、神经工程与人工智能、神经学家,认知科学家、工程师、心理学家、物理学家、计算机科学家,和人工智能研究人员等可以发布他们的工作在一个神经科学期刊,桥梁之间的差距,人工智能和工程。该杂志以计算神经科学的智能系统为重点，提供跨学科水平的研究和评论论文。该领域包括人工智能、人类认知、感知和动机的模型和计算理论等领域；脑模型，人工神经网络和神经计算。所有与构建理论和实际系统相关的项目都在其范围内，包括在适用的神经网络理论、监督和非监督学习方法、算法、体系结构、性能度量、应用统计学、软件仿真、硬件实现、基准测试、系统工程以及集成和创新应用领域的贡献。该杂志涵盖了计算机科学、数学、物理、心理学、认知科学、医学和神经生物学等学科。计算智能和神经科学方面的工作是指神经系统发展和功能的理论和计算方面的工作，可以是神经元网络层面的工作，也可以是细胞或亚细胞层面的工作。该杂志的主题包括但不限于计算，理论，实验，临床和应用方面的以下方面：神经建模和神经计算神经信号处理脑-机接口Neuron-electronicsNeuroneedback、神经康复Neuroinformatics脑电波，神经成像(fMRI, EEG, MEG, PET, NIR)神经回路：人工神经回路和生物神经回路神经控制与神经系统分析学习理论(监督/非监督/强化学习)基于知识的神经网络，概率，空间和时间的知识表示和推理学习分类器神经网络融合。模糊系统。进化算法受生物启发的智能体(架构、环境、适应/学习和知识管理)贝叶斯网络和概率推理群体智能，蚁群优化，多智能体系统知觉系统的计算方面;感知不同的(视觉、听觉和触觉)模式;知觉和选择性注意长期记忆、短期记忆和工作记忆认知现象的多层次(神经、心理、计算)分析自然和人工认知系统的综合理论神经科学的信息理论、控制理论和决策理论方法研究创造力、学习、知识和推理、情感和动机、意识和意识、感知和行动、决策和行动等的多学科计算方法。认知系统从人工生命，动力系统，复杂系统的角度神经生物学启发的进化系统专题文章将纳入原创研究论文或评论文章。文章被期望是高质量的贡献，代表新的和重要的研究，发展或应用的实际用途和价值。决定将基于文章的原创性、技术可靠性、清晰的阐述、科学贡献和多学科影响。

3：Journal of Bioinformatics and Computational Biology目前的影响因子是0.845，。

英文简介：The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information.The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.

中文简介：《生物信息学与计算生物学杂志》旨在发表高质量的原创研究论文、说明性教程论文和综述性论文，以及对与细胞信息分析相关的技术问题的简短评论。这些研究论文将是新断言、新发现和新工具的技术展示，面向更狭窄的专家群体。这些教程、评论和批判性评论将面向更广泛的读者，包括对使用计算机感兴趣但不了解科学计算的生物学家，以及对生物学感兴趣但不熟悉当前研究方向或生物学语言的计算机科学家。这种精心挑选的教程和文章应该会大大加快这些具有创造性的新科学家进入该领域的速度。

4：Interdisciplinary Sciences-Computational Life Sciences目前的影响因子是1.418，。

英文简介：The journal Interdisciplinary Sciences--Computational Life Sciences presents outstanding coverage of significant research across scientific disciplines. The coverage ranges across the broad field of computational life sciences, an area that has recently seen rapid development at the forefront of scientific research and technology. The editorial board comprises experts from around the world. Taking full advantage of Springer online technology, the journal combines rapid print publication with early OnlineFirst distribution through SpringerLink.

中文简介：《跨学科科学——计算生命科学》杂志展示了跨科学学科的重要研究的杰出报道。其覆盖范围涵盖计算生命科学的广泛领域，该领域最近在科学研究和技术的前沿得到了快速发展。编辑委员会由来自世界各地的专家组成。充分利用施普林格在线技术，通过SpringerLink将快速印刷出版与早期在线发行相结合。

5：BioData Mining目前的影响因子是2.301，。

英文简介：BioData Mining is an open access, open peer-reviewed journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.

中文简介：《生物数据挖掘》是一本开放获取、开放的同行评议期刊，涵盖了应用于高维生物和生物医学数据的数据挖掘的所有方面的研究，侧重于大规模遗传、转录组、基因组、蛋白质组和代谢组数据的知识发现的计算方面。

6：BIOMETRICAL JOURNAL创刊于1977年，出版周期是Bimonthly，目前的影响因子是1.255，根据网友评价审稿速度大概是较慢,6-12周录用比例是容易。

英文简介：Biometrical Journal publishes papers on statistical methods and their applications in life sciences including medicine, environmental sciences and agriculture. Methodological developments should be motivated by an interesting and relevant problem from these areas. Ideally the manuscript should include a description of the problem and a section detailing the application of the new methodology to the problem. Case studies, review articles and letters to the editors are also welcome. Papers containing only extensive mathematical theory are not suitable for publication in Biometrical Journal.

中文简介：《生物计量学杂志》发表关于统计方法及其在包括医学、环境科学和农业在内的生命科学中的应用的论文。方法的发展应由来自这些领域的一个有趣和有关的问题来推动。理想情况下，原稿应包括对问题的描述和一节详细说明新方法在该问题上的应用。也欢迎案例研究、评论文章和给编辑的信件。只包含广泛数学理论的论文不适合发表在生物计量学杂志上。

7：International Journal of Biomathematics创刊于2008年，目前的影响因子是0.894，根据网友评价审稿速度大概是约3.0个月录用比例是容易。

英文简介：The goal of this journal is to present the latest achievements in biomathematics, facilitate international academic exchanges and promote the development of biomathematics. Its research fields include mathematical ecology, infectious disease dynamical system, biostatistics and bioinformatics.Only original papers will be considered. Submission of a manuscript indicates a tacit understanding that the paper is not actively under consideration for publication with other journals. As submission and reviewing processes are handled electronically whenever possible, the journal promises rapid publication of articles.The International Journal of Biomathematics is published bimonthly.

中文简介：本刊旨在介绍生物数学的最新成果，促进国际学术交流，促进生物数学的发展。其研究领域包括数学生态学、传染病动力学系统、生物统计学和生物信息学。只有原创论文才会被考虑。提交一份手稿表明一种默契，即该论文没有积极考虑与其他期刊一起发表。由于投稿和评审过程都尽可能采用电子方式进行，该杂志承诺将迅速发表文章。《国际生物数学杂志》双月刊。

8：Frontiers in Neuroinformatics目前的影响因子是2.68，。

Frontiers in Neuroinformatics

英文简介：Frontiers in Neuroinformatics publishes rigorously peer-reviewed research on the development and implementation of numerical/computational models and analytical tools used to share, integrate and analyze experimental data and advance theories of the nervous system functions. Specialty Chief Editors Jan G. Bjaalie at the University of Oslo and Sean L. Hill at the ?cole Polytechnique Fédérale de Lausanne are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.

中文简介：《神经信息学前沿》出版了严格的同行评审研究报告，内容涉及数字/计算模型和分析工具的开发和实现，这些工具用于共享、集成和分析实验数据，并推动神经系统功能理论的发展。奥斯陆大学的专业主编Jan G. Bjaalie和洛桑联邦理工学院的Sean L. Hill得到了由国际专家组成的优秀编辑委员会的支持。这是一本多学科开放获取的期刊，在向全世界的研究人员、学者和公众传播和传播科学知识和有影响力的发现方面处于前沿。

9：BIOSTATISTICS创刊于2000年，出版周期是Quarterly，目前的影响因子是2.05，根据网友评价审稿速度大概是较慢,6-12周录用比例是较易。

英文简介：Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data. The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health.Biostatistics publishes papers that develop innovative statistical methods with applications to the understanding of human health and disease, including basic biomedical sciences. Papers should focus on methods and applications. Introduction of original methodology should be grounded in substantive problems;there is the opportunity to present extensive analyses of data on the journal's website as supplementary material. Authors are strongly encouraged to submit code supporting their publications. Authors should submit a link to a Github repository and to a specific example of the code on a code archiving service such as Figshare or Zenodo.

中文简介：20世纪重要的科学发展之一是统计推理和应用于人类健康研究的方法的爆炸性增长。例如，似然推断方法、流行病学统计、临床试验、生存分析和统计遗传学的发展。公共卫生和生物医学研究方面的实质性问题促进了统计方法的发展，从而提高了我们从数据中得出有效推论的能力。生物统计学的目标是推动统计学及其在人类健康和疾病问题中的应用，最终目标是促进公众健康。生物统计学发表论文，发展创新的统计方法，应用于理解人类健康和疾病，包括基础生物医学科学。论文应注重方法和应用。最初方法的介绍应以实质性问题为基础;有机会在《日刊》网站上以补充材料的形式对数据进行广泛的分析。强烈建议作者提交支持其出版物的代码。作者应该提交一个指向Github存储库的链接，以及指向代码归档服务(如Figshare或Zenodo)上代码的特定示例。

10：Statistics in Biopharmaceutical Research创刊于2009年，目前的影响因子是0.92，根据网友评价审稿速度大概是>12周，或约稿录用比例是容易。

英文简介：Statistics in Biopharmaceutical Research ( SBR), publishes articles that focus on the needs of researchers and applied statisticians in biopharmaceutical industries; academic biostatisticians from schools of medicine, veterinary medicine, public health, and pharmacy; statisticians and quantitative analysts working in regulatory agencies (e.g., U.S. Food and Drug Administration and its counterpart in other countries); statisticians with an interest in adopting methodology presented in this journal to their own fields; and nonstatisticians with an interest in applying statistical methods to biopharmaceutical problems.Statistics in Biopharmaceutical Research accepts papers that discuss appropriate statistical methodology and information regarding the use of statistics in all phases of research, development, and practice in the pharmaceutical, biopharmaceutical, device, and diagnostics industries. Articles should focus on the development of novel statistical methods, novel applications of current methods, or the innovative application of statistical principles that can be used by statistical practitioners in these disciplines. Areas of application may include statistical methods for drug discovery, including papers that address issues of multiplicity, sequential trials, adaptive designs, etc.; preclinical and clinical studies; genomics and proteomics; bioassay; biomarkers and surrogate markers; models and analyses of drug history, including pharmacoeconomics, product life cycle, detection of adverse events in clinical studies, and postmarketing risk assessment; regulatory guidelines, including issues of standardization of terminology (e.g., CDISC), tolerance and specification limits related to pharmaceutical practice, and novel methods of drug approval; and detection of adverse events in clinical and toxicological studies. Tutorial articles also are welcome. Articles should include demonstrable evidence of the usefulness of this methodology (presumably by means of an application).The Editorial Board of SBR intends to ensure that the journal continually provides important, useful, and timely information. To accomplish this, the board strives to attract outstanding articles by seeing that each submission receives a careful, thorough, and prompt review.

中文简介：生物医药研究统计(SBR)，发表文章，关注研究人员和应用统计学家在生物医药行业的需求;医学、兽医学、公共卫生和药学学院的生物统计学家;在监管机构(如美国食品和药物管理局及其在其他国家的对应机构)工作的统计学家和定量分析师;对采用本刊所载方法有兴趣的统计学家;以及对将统计学方法应用于生物制药问题感兴趣的非统计学家。生物制药研究中的统计学接受讨论有关在制药、生物制药、设备和诊断行业的研究、开发和实践的所有阶段中使用统计学的适当统计方法和信息的论文。文章应侧重于发展新的统计方法，当前方法的新应用，或统计原则的创新应用，可用于这些学科的统计从业人员。应用领域可包括药物发现的统计方法，包括处理多重性、顺序试验、适应性设计等问题的论文;临床前和临床研究;基因组学和蛋白质组学;生物测定;生物标志物和代用标志物;药物历史模型和分析，包括药物经济学、产品生命周期、临床研究中不良事件的检测和上市后风险评估;规管指引，包括术语标准化(例如CDISC)、与制药实践有关的公差和规格限制，以及新的药物批准方法等问题;以及临床和毒理学研究中不良事件的检测。教程文章也是受欢迎的。文章应该包括这个方法有用的可证明的证据(可能通过应用程序)。SBR的编辑委员会打算确保该杂志不断提供重要、有用和及时的信息。为了做到这一点，审计委员会努力吸引优秀的文章，办法是确保每一份提交的文件都得到认真、彻底和迅速的审查。