Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Energy and Power Signals01:17

Energy and Power Signals

418
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
418
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Conservation of Energy: Application01:12

Conservation of Energy: Application

7.0K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
7.0K
Power and Energy01:12

Power and Energy

969
The power and energy delivered to an element are subjects of great significance in the field of electrical engineering. It is a well-known fact that a 100-watt light bulb emits more light than a 60-watt one. Therefore, power and energy calculations play a crucial role in the analysis of electrical circuits.
Power, defined as the time rate of expending or absorbing energy, is quantified in units called watts (W). The relation between power and energy is mathematically given as
969
Energy Diagrams - I01:14

Energy Diagrams - I

5.1K
The dynamics of a mechanical system can be easily understood by interpreting a potential energy diagram. Since energy is a scalar quantity, the interpretation of the dynamics of the system becomes even simpler.
Take the example of a skater on a parabolic ramp. The potential energy at different points along the ramp will be proportional to the height of the ramp, which varies quadratically with the horizontal position on the ramp. As the skater moves down the ramp from the highest position,...
5.1K
Induced Electric Fields: Applications01:27

Induced Electric Fields: Applications

1.8K
An important distinction exists between the electric field induced by a changing magnetic field and the electrostatic field produced by a fixed charge distribution. Specifically, the induced electric field is nonconservative because it does not work in moving a charge over a closed path. In contrast, the electrostatic field is conservative and does no net work over a closed path. Hence, electric potential can be associated with the electrostatic field but not the induced field. The following...
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pan-tissue transcriptomic profiling of dairy cattle.

Journal of animal science and biotechnology·2026
Same author

Snap-Fit Assembly of Multicomponent Pt(II) Metallacages Enabling Through-Space Electron Transfer and Enhanced Photocatalysis.

Journal of the American Chemical Society·2026
Same author

CD161⁺ NKT Cell Proportion as a Predictive Biomarker for Bortezomib Treatment Response in Newly Diagnosed Multiple Myeloma Patients.

Clinical laboratory·2026
Same author

Spatial transcriptomics uncovers TAC-OGEs heterogeneity and FN1/MMP9 signature in ameloblastoma.

Frontiers in immunology·2026
Same author

Quercetin mitigates CUMS-induced depression-like behaviors in rats by regulating argininosuccinic acid-induced astrocyte pyroptosis in the hippocampus.

The Journal of nutritional biochemistry·2026
Same author

Tetraphenylethylene-based giant emissive hexagonal metallaprisms for biomolecule sensing.

Fundamental research·2026

Related Experiment Video

Updated: Aug 16, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.8K

Big data and artificial intelligence application in energy field: a bibliometric analysis.

Yali Hou1, Qunwei Wang2

  • 1College of Information Engineering, Nanjing Xiaozhuang University, Nanjing, 211171, China.

Environmental Science and Pollution Research International
|December 22, 2022
PubMed
Summary

Bibliometrics reveals China leads in big data, artificial intelligence (AI), and energy publications. However, the USA demonstrates the most influence in this interdisciplinary field, driving research trends.

Keywords:
Artificial intelligenceBibliometricsBig dataRenewable energySmart grid

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.8K

Related Experiment Videos

Last Updated: Aug 16, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.8K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.8K

Area of Science:

  • Bibliometrics
  • Big Data
  • Artificial Intelligence (AI)
  • Energy Systems

Background:

  • The intersection of big data, AI, and energy is a rapidly evolving interdisciplinary field.
  • Understanding the knowledge systems and research trends is crucial for future development.

Purpose of the Study:

  • To bibliometrically characterize the knowledge landscape of big data, AI, and energy from 2001-2020.
  • To identify key research frontiers, influential countries, institutions, and publications.

Main Methods:

  • Bibliometric analysis of publications from the Science Citation Index Extension (SCI-E) and Social Science Citation Index (SSCI).
  • Data analysis covered publication output, influence (h-index), collaboration networks, leading journals, disciplines, and theoretical foundations.

Main Results:

  • China leads in publication volume (29%), while the USA shows the highest influence (h-index 75).
  • Chinese Academy of Sciences is a major contributor, and IEEE Access is the most productive journal.
  • Deep learning, big data, and energy consumption are key theoretical foundations, with applications in smart grids and renewable energy.

Conclusions:

  • Big data and AI applications in energy are shifting towards renewable energy and building energy efficiency.
  • Future research will likely focus on integrating machine learning, deep learning, and fog computing for energy saving.
  • The study provides insights into research trends for navigating this emerging interdisciplinary field.