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  1. The k-means, one of the most widely used clustering algorithm, is not only faster in computation but also produces comparatively better clusters. However, it has two major downsides, first it is sensitive to i...

    Authors: Marina Gul and M. Abdul Rehman
    Citation: Journal of Big Data 2023 10:120
  2. Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot ac...

    Authors: Ashkan Dehghan, Kinga Siuta, Agata Skorupka, Akshat Dubey, Andrei Betlen, David Miller, Wei Xu, Bogumił Kamiński and Paweł Prałat
    Citation: Journal of Big Data 2023 10:119
  3. Neurological diseases are on the rise worldwide, leading to increased healthcare costs and diminished quality of life in patients. In recent years, Big Data has started to transform the fields of Neuroscience ...

    Authors: Laura Dipietro, Paola Gonzalez-Mego, Ciro Ramos-Estebanez, Lauren Hana Zukowski, Rahul Mikkilineni, Richard Jarrett Rushmore and Timothy Wagner
    Citation: Journal of Big Data 2023 10:116
  4. With the development of computer vision technology, the demand for deploying vision inspection tasks on edge mobile devices is becoming increasingly widespread. To meet the requirements of application scenario...

    Authors: Hu Gang, Sheng Guanglei, Wang Xiaofeng and Jiang Jinlin
    Citation: Journal of Big Data 2023 10:114
  5. Optical coherence tomography angiography (OCTA) has been a frequently used diagnostic method in neovascular age-related macular degeneration (nAMD) because it is non-invasive and provides a comprehensive view ...

    Authors: Wei Feng, Meihan Duan, Bingjie Wang, Yu Du, Yiran Zhao, Bin Wang, Lin Zhao, Zongyuan Ge and Yuntao Hu
    Citation: Journal of Big Data 2023 10:111
  6. Fraud datasets often times lack consistent and accurate labels, and are characterized by having high class imbalance where the number of fraudulent examples are far fewer than those of normal ones. Machine lea...

    Authors: Robert K. L. Kennedy, Zahra Salekshahrezaee, Flavio Villanustre and Taghi M. Khoshgoftaar
    Citation: Journal of Big Data 2023 10:106
  7. Human Skin cancer is commonly detected visually through clinical screening followed by a dermoscopic examination. However, automated skin lesion classification remains challenging due to the visual similaritie...

    Authors: Yousef S. Alsahafi, Mohamed A. Kassem and Khalid M. Hosny
    Citation: Journal of Big Data 2023 10:105
  8. The rapid development of healthcare big data has brought certain convenience to medical research and health management, but privacy protection of healthcare big data is an issue that must be considered in the ...

    Authors: Rong Jiang, Xue Chen, Yimin Yu, Ying Zhang and Weiping Ding
    Citation: Journal of Big Data 2023 10:104
  9. Intrusion Detection is essential to identify malicious incidents and continuously alert many users of the Internet of Things (IoT). The constant monitoring of events generated from many devices connected to th...

    Authors: Fitsum Gebreegziabher Gebretsadik, Sabuzima Nayak and Ripon Patgiri
    Citation: Journal of Big Data 2023 10:102
  10. Nowadays, the online environment is extra information-rich and allows companies to offer and receive more and more options and opportunities in multiple areas. Thus, decision-makers have abundantly available a...

    Authors: Loubna Lamrini, Mohammed Chaouki Abounaima and Mohammed Talibi Alaoui
    Citation: Journal of Big Data 2023 10:97
  11. Continuously increasing data volumes from multiple sources, such as simulation and experimental measurements, demand efficient algorithms for an analysis within a realistic timeframe. Deep learning models have...

    Authors: Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel and Andreas Lintermann
    Citation: Journal of Big Data 2023 10:96
  12. Processing large-scale graphs is challenging due to the nature of the computation that causes irregular memory access patterns. Managing such irregular accesses may cause significant performance degradation on...

    Authors: Amin Sahebi, Marco Barbone, Marco Procaccini, Wayne Luk, Georgi Gaydadjiev and Roberto Giorgi
    Citation: Journal of Big Data 2023 10:95
  13. The main dilemma in the case of classification tasks is to find—from among many combinations of methods, techniques and values of their parameters—such a structure of the classifier model that could achieve th...

    Authors: Paweł Ziemba, Jarosław Becker, Aneta Becker and Aleksandra Radomska-Zalas
    Citation: Journal of Big Data 2023 10:94
  14. Classification and analysis of high-resolution satellite images using conventional techniques have been limited. This is due to the complex characteristics of the imagery. These images are characterized by fea...

    Authors: Adekanmi Adeyinka Adegun, Serestina Viriri and Jules-Raymond Tapamo
    Citation: Journal of Big Data 2023 10:93
  15. The production of land cover maps is an everyday use of image classification applications on remote sensing. However, managing Earth observation satellite data for a large region of interest is challenging in ...

    Authors: Antonio Manuel Burgueño, José F. Aldana-Martín, María Vázquez-Pendón, Cristóbal Barba-González, Yaiza Jiménez Gómez, Virginia García Millán and Ismael Navas-Delgado
    Citation: Journal of Big Data 2023 10:91
  16. This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, ...

    Authors: Zoran Babović, Branislav Bajat, Dusan Barac, Vesna Bengin, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Stephan French, Borko Furht, Marija Ilić, Ayhan Irfanoglu, Aleksandar Kartelj, Milan Kilibarda, Gerhard Klimeck, Nenad Korolija…
    Citation: Journal of Big Data 2023 10:89
  17. The proposed model is an adaptive neuro-fuzzy inference recommender system that utilizes customer investment service feedback and fuzzy neural inference solutions to generate personalized investment recommenda...

    Authors: Asefeh Asemi, Adeleh Asemi and Andrea Ko
    Citation: Journal of Big Data 2023 10:87
  18. The metaverse has become one of the most popular concepts of recent times. Companies and entrepreneurs are fiercely competing to invest and take part in this virtual world. Millions of people globally are anti...

    Authors: Sezai Tunca, Bulent Sezen and Violetta Wilk
    Citation: Journal of Big Data 2023 10:82
  19. The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge graphs (KGs) have proven u...

    Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
    Citation: Journal of Big Data 2023 10:81
  20. Ensuring the optimal performance of power transformers is a laborious task in which the insulation system plays a vital role in decreasing their deterioration. The insulation system uses insulating oil to cont...

    Authors: Manuel J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez and Gualberto Asencio-Cortés
    Citation: Journal of Big Data 2023 10:80
  21. SRAM and DRAM memory technologies have been dominant in the implementations of memory subsystems. In recent years, and mainly driven by the huge memory demands of big data applications, NVRAM technology has em...

    Authors: Miguel A. Avargues, Manel Lurbe, Salvador Petit, Maria E. Gomez, Rui Yang, Xiaoping Zhu, Guanhao Wang and Julio Sahuquillo
    Citation: Journal of Big Data 2023 10:75
  22. Person Re-identification (ReID) is the process of matching target individuals to their images within different images or videos captured from a variety of angles or cameras. This is a critical task for surveil...

    Authors: Alaa Alnissany and Yazan Dayoub
    Citation: Journal of Big Data 2023 10:74
  23. This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best perfor...

    Authors: Zoran Babović, Branislav Bajat, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Borko Furht, Nikola Gačić, Igor Ikodinović, Marija Ilić, Ayhan Irfanoglu, Branislav Jelenković, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar…
    Citation: Journal of Big Data 2023 10:73
  24. Hepatocellular carcinoma (HCC) has a desmoplastic and hypoxic tumor microenvironment (TME), resulting in poor prognosis and treatment resistance. This study aimed to construct a novel prognostic classifier to ...

    Authors: Hongkai Zhuang, Zedan Zhang, Bo Chen, Chenwei Tang, Xinming Chen, Wenliang Tan, Lei Yang, Zhiqin Xie, Xiaowu Ma, Qingbin Wang, Bingkun Wang, Changzhen Shang and Yajin Chen
    Citation: Journal of Big Data 2023 10:70

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 8.6
    5-year Journal Impact Factor: 12.4
    Source Normalized Impact per Paper (SNIP): 3.853
    SCImago Journal Rank (SJR): 2.068

    Speed 2023
    Submission to first editorial decision (median days): 56
    Submission to acceptance (median days): 205

    Usage 2023
    Downloads: 2,559,548
    Altmetric mentions: 280