Articles published in Journal of Aging Science have been cited by esteemed scholars and scientists all around the world. Journal of Aging Science has got h-index 15, which means every article in Journal of Aging Science has got 15 average citations.

Following are the list of articles that have cited the articles published in Journal of Aging Science.

Journal total citations count 1061
Journal impact factor 1.04
Journal 5 years impact factor 1.89
Journal cite score 3.76
Journal h-index 15
Important citations

Smart secure homes: a survey of smart home technologies that sense, assess, and respond to security threats

Death wishes among older people assessed for home support and long-term aged residential care

Smart Homes and Quality of Life for the Elderly: Perspective of Competing Models

Ageing in place and the internet of things – how smart home technologies, the built environment and care giving intersect

Impact of wireless communications technologies on elder people healthcare: Smart home in Australia

Forecasting behavior in smart homes based on sleep and wake patterns

Smart watch RSSI localization and refinement for behavioral classification using laser-SLAM for mapping and fingerprinting

Effectiveness of digital technology interventions to reduce loneliness in adults: a protocol for a systematic review and meta-analysis

Smart eldercare in Singapore: Negotiating agency and apathy at the margins

Conceptual Framework of Smart Device for Smart Home Management Based on RFID and IoT

Profiles and Predictors of Smart Home Technology Adoption by Older Adults

National and regional seasonal dynamics of all-cause and cause-specific mortality in the USA from 1980 to 2016

A Critical Review of Smart Residential Environments for Older Adults With a Focus on Pleasurable Experience

A ZigBee-Based Smart Home Monitoring System

In-home physical frailty monitoring: relevance with respect to clinical tests

Monitoring meaningful activities using small low-cost devices in a smart home

United States older adults’ willingness to use emerging technologies

Integrating an openEHR-based personalized virtual model for the ageing population within HBase

FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics

Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining