AI on Wheels: Bibliometric Approach to Mapping of Research on Machine Learning and Deep Learning in Electric Vehicles
Electronics,
Год журнала:
2025,
Номер
14(2), С. 378 - 378
Опубликована: Янв. 19, 2025
The
global
transition
to
sustainable
energy
systems
has
placed
the
use
of
electric
vehicles
(EVs)
among
areas
that
might
contribute
reducing
carbon
emissions
and
optimizing
usage.
This
paper
presents
a
bibliometric
analysis
interconnected
domains
EVs,
artificial
intelligence
(AI),
machine
learning
(ML),
deep
(DL),
revealing
significant
annual
growth
rate
56.4%
in
research
activity.
Key
findings
include
identification
influential
journals,
authors,
countries,
collaborative
networks
have
driven
advancements
this
domain.
study
highlights
emerging
trends,
such
as
integration
renewable
sources,
vehicle-to-grid
(V2G)
schemes,
application
AI
EV
battery
optimization,
charging
infrastructure,
consumption
prediction.
also
uncovers
challenges
addressing
information
security
concerns.
By
reviewing
top-cited
papers,
underlines
transformative
potential
AI-driven
solutions
enhancing
performance
scalability.
results
can
be
useful
for
practitioners,
academics,
policymakers.
Язык: Английский
Exploring Grey Systems in Uncertain Environments: A Bibliometric Analysis of Global Contributions and Research Themes
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2764 - 2764
Опубликована: Март 20, 2025
Grey
systems
theory,
through
the
special
mathematics
and
methods
offered,
such
as
seeing
numbers
intervals
rather
than
fixed
values,
provides
a
bridge
between
two
extreme
cases
in
which
system
under
investigation
might
find,
namely,
white
system,
easy
to
read
understand,
black
completely
unknown
investigator.
Since
its
appearance
1982,
theory
has
contributed
solving
various
challenges
traditionally
addressed
complex
means.
The
paper
comprehensive
perspective
on
evolution
of
grey
domain
over
42-year
period
analysed,
spanning
from
1982
2024.
Utilizing
dataset
extracted
Clarivate
Analytics’
Web
Science
Core
Collection
database,
conducts
bibliometric
analysis
that
includes
identification
key
journals,
affiliations,
authors,
countries,
well
collaboration
networks
among
authors
countries.
It
also
analyses
most
frequently
used
keywords
authors’
keywords.
annual
growth
rate
12.99%
indicates
sustained
interest
researchers.
Using
Biblioshiny
4.2.3
library
R
version
4.4.1,
variety
visualisations
have
been
created,
including
thematic
maps
WordClouds.
A
detailed
review
cited
papers
performed
highlight
role
advancing
intelligent
decision-making
techniques.
In
terms
results,
it
observed
university
with
highest
contribution
field
is
Nanjing
University
Aeronautics
Astronautics
while
influential
figure
area
number
published
Sifeng
Liu.
As
expected,
China,
home
country
notable
international
networks.
Язык: Английский
Navigating Sustainability: A Bibliometric Exploration of Environmental Decision-Making and Behavioral Shifts
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2646 - 2646
Опубликована: Март 17, 2025
In
recent
years,
the
research
area
around
environmental
decision-making
has
drawn
more
and
interest,
driven
by
a
really
big
global
push
to
achieve
net-zero
emissions.
Significant
investments
in
areas
such
as
electric
vehicles
renewable
energy,
coupled
with
increasingly
limited
access
natural
resources,
have
intensified
efforts
this
field.
New
emerging
is
aimed
at
shifting
consumer
behavior
make
sustainable
decisions.
Building
on
context,
purpose
of
paper
explore
academic
publications
related
behavioral
shifts
context
sustainability.
Using
an
advanced
bibliometric
tool
Biblioshiny,
authors
analyze
Institute
for
Scientific
Information
Web
Science
dataset
identify
main
affiliated
journals
map
thematic
evolution
interdisciplinary
field,
including
key
topics
countries
involved.
The
analysis
reveals
6.68%
annual
growth
rate.
Through
maps,
three
field
plots,
word
clouds,
review
top
10
most
cited
papers,
study
provides
comprehensive
overview
evolving
domain
decision-making.
Язык: Английский
The Persistence Puzzle: Bibliometric Insights into Dropout in MOOCs
Sustainability,
Год журнала:
2025,
Номер
17(7), С. 2952 - 2952
Опубликована: Март 26, 2025
Massive
Open
Online
Courses
(MOOCs)
are
a
relatively
new
educational
model
that
provides
free
access
to
content
regardless
of
location
or
time.
Despite
these
benefits,
MOOCs
encounter
significant
challenges,
such
as
low
completion
rates,
high
dropout
and
inconsistent
participant
comprehension,
often
due
the
absence
simulations
practical
activities.
Incorporating
sustainable
education
principles
into
could
bring
benefits
long-term
effectiveness
learning
process,
ensuring
conscious
practices.
To
address
issue
MOOC
rates
assess
scientific
interest
in
this
area,
bibliometric
analysis
was
conducted
on
dataset
193
papers
sourced
from
ISI
Web
Science
database,
spanning
2013
2023.
Papers
were
selected
based
relevant
keywords
for
study.
The
highlights
key
academic
institutions,
leading
authors,
publication
trends
within
field.
It
reveals
strong
growing
with
an
annual
growth
rate
40.04%.
Research
identified
by
analyzing
n-grams
keywords,
titles,
abstracts,
plus,
supplemented
detailed
review
most
cited
globally.
A
collaborative
network
performed
explore
author
collaborations,
their
global
distribution,
institutional
affiliations,
research
objectives,
study
directions.
findings
show
increasing
focus
understanding
factors
contributing
developing
strategies
issues.
Язык: Английский
Navigating the Disinformation Maze: A Bibliometric Analysis of Scholarly Efforts
Information,
Год журнала:
2024,
Номер
15(12), С. 742 - 742
Опубликована: Ноя. 21, 2024
The
increasing
prevalence
of
disinformation
has
become
a
global
challenge,
exacerbated
by
the
rapid
dissemination
information
in
online
environments.
present
study
conducts
bibliometric
analysis
scholarly
efforts
made
over
time
research
papers
associated
with
field.
Thus,
this
paper
aims
to
understand
and
help
combat
focusing
on
methodologies,
datasets,
key
metadata.
Through
approach,
identifies
leading
authors,
affiliations,
journals
examines
collaboration
networks
field
disinformation.
This
highlights
significant
growth
disinformation,
particularly
response
events
such
as
2016
U.S.
election,
Brexit,
COVID-19
pandemic,
an
overall
rate
15.14%
entire
analyzed
period.
results
underscore
role
social
media
artificial
intelligence
spread
well
importance
fact-checking
technologies.
Findings
reveal
that
most
prolific
contributions
come
from
universities
United
States
America
(USA),
Kingdom
(UK),
Spain,
other
institutions,
notable
increase
publications
since
2018.
thematic
maps,
keyword
analysis,
networks,
provides
comprehensive
overview
evolving
research,
offering
valuable
insights
for
future
investigations
policy
development.
Язык: Английский