Kennedy Opoku Asare

Kennedy Opoku Asare

Oulun yliopisto

H-index: 7

Europe-Finland

About Kennedy Opoku Asare

Kennedy Opoku Asare, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Oulun yliopisto, specializes in the field of mobile and ubiquitous computing, Mobile Sensing, Digital biomarkers, mhealth.

His recent articles reflect a diverse array of research interests and contributions to the field:

Assessing mental disorders with digital biomarkers

Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis

Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression

Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study

CARE: Context-awareness for elderly care

Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data

When phones get personal: Predicting Big Five personality traits from application usage

Kennedy Opoku Asare Information

University

Position

Doctoral Researcher Center for Ubiquitous Computing Finland

Citations(all)

316

Citations(since 2020)

310

Cited By

35

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

Oulun yliopisto

Google Scholar

View Google Scholar Profile

Kennedy Opoku Asare Skills & Research Interests

mobile and ubiquitous computing

Mobile Sensing

Digital biomarkers

mhealth

Top articles of Kennedy Opoku Asare

Title

Journal

Author(s)

Publication Date

Assessing mental disorders with digital biomarkers

Kennedy Opoku Asare

2023/8/25

Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis

Pervasive and Mobile Computing

Kennedy Opoku Asare

Isaac Moshe

Yannik Terhorst

Julio Vega

Simo Hosio

...

2022/7/1

Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression

Wireless Mobile Communication and Healthcare: 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13–14, 2021, Proceedings

Denzil Ferreira

2022/6/6

Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study

JMIR mHealth and uHealth

Kennedy Opoku Asare

Yannik Terhorst

Julio Vega

Ella Peltonen

Eemil Lagerspetz

...

2021/7/12

CARE: Context-awareness for elderly care

Health and Technology

Simon Klakegg

Kennedy Opoku Asare

Niels van Berkel

Aku Visuri

Eija Ferreira

...

2021/1

Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data

Frontiers in psychiatry

Isaac Moshe

Yannik Terhorst

Kennedy Opoku Asare

Lasse Bosse Sander

Denzil Ferreira

...

2021/1/28

When phones get personal: Predicting Big Five personality traits from application usage

Pervasive and Mobile Computing

Ella Peltonen

Parsa Sharmila

Kennedy Opoku Asare

Aku Visuri

Eemil Lagerspetz

...

2020/11/1

See List of Professors in Kennedy Opoku Asare University(Oulun yliopisto)

Co-Authors

H-index: 42
Timo Ojala

Timo Ojala

Oulun yliopisto

H-index: 35
Denzil Ferreira

Denzil Ferreira

Oulun yliopisto

H-index: 22
Yannik Terhorst

Yannik Terhorst

Universität Ulm

H-index: 16
Dorina Rajanen (Marghescu)

Dorina Rajanen (Marghescu)

Oulun yliopisto

H-index: 14
Christian Schuss

Christian Schuss

Oulun yliopisto

H-index: 13
Aku Visuri

Aku Visuri

Oulun yliopisto

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