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Open Access Original Article
Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors
Aim: This study aimed to identify and analyze the top 100 most cited digital health and mobile health (m-health) publications. It could aid researchers in the identification of promising new research avenues, additionally supporting the establishment of international scientific collaboration between interdisciplinary research groups with demonstrated achievements in the area of interest. Methods: On 30th August, 2023, the Web of Science Core Collection (WOSCC) electronic database was queried to identify the top 100 most cited digital health papers with a comprehensive search string. From the initial search, 106 papers were identified. After screening for relevance, six papers were excluded, resulting in the final list of the top 100 papers. The basic bibliographic data was directly extracted from WOSCC using its “Analyze” and “Create Citation Report” functions. The complete records of the top 100 papers were downloaded and imported into a bibliometric software called VOSviewer (version 1.6.19) to generate an author keyword map and author collaboration map. Results: The top 100 papers on digital health received a total of 49,653 citations. Over half of them (n = 55) were published during 2013–2017. Among these 100 papers, 59 were original articles, 36 were reviews, 4 were editorial materials, and 1 was a proceeding paper. All papers were written in English. The University of London and the University of California system were the most represented affiliations. The USA and the UK were the most represented countries. The Journal of Medical Internet Research was the most represented journal. Several diseases and health conditions were identified as a focus of these works, including anxiety, depression, diabetes mellitus, cardiovascular diseases, and coronavirus disease 2019 (COVID-19). Conclusions: The findings underscore key areas of focus in the field and prominent contributors, providing a roadmap for future research in digital and m-health.
Open Access Original Article
Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
Aim: This study investigates the potential of artificial intelligence (AI) in revolutionizing healthcare insurance claim processing in the USA. It aims to determine the most effective machine learning (ML) model for predicting health insurance claims, leading to cost savings for insurance companies. Methods: Six ML algorithms were used to predict health insurance claims, and their performance was evaluated using various metrics. The algorithms examined include support vector machine (SVM), decision tree (DT), random forest (RF), linear regression (LR), extreme gradient boosting (XGBoost), and k-nearest neighbors (KNN). The research involves a performance assessment that encompasses key metrics. Additionally, a feature importance analysis is conducted to illuminate the critical variables that exert influence on the prediction of insurance claims. Results: The findings demonstrate that the XGBoost and RF models outperformed the other algorithms, displaying the highest R-squared values of 79% and 77% and the lowest prediction errors. The feature importance analysis underscores the pivotal role of variables such as smoking habits, body mass index (BMI), and blood pressure levels in the domain of insurance claim prediction. These results emphasize the degree to which these variables should be included in the formulation of insurance policies and pricing strategies. Conclusions: This study supports the transformative potential of AI, with specific emphasis on the XGBoost model, in extending the precision and efficiency of healthcare insurance claim processing. The identification of key variables and the mitigation of prediction errors not only signal the potential for substantial cost savings but also affirm the potential to integrate AI into healthcare insurance processes. This research supports the value of the utilization of AI as an emerging tool for process optimization and data-informed decision-making within the healthcare insurance domain.
Open Access Perspective
Turbulence at Twitter with leadership change: implications for health research and science communication
Twitter has been an invaluable social media platform for scientists to share research and host discourse among academics and the public. The change of ownership at Twitter has changed how scientists interact with the platform and has led some to worry about its future. This article discusses the current changes at Twitter and what implications these may have for future health research and communication.

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Open Access Original Article
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Published: June 19, 2025 Explor Digit Health Technol. 2025;3:101154
353 18 0
Open Access Review
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Brandon Wilkins ... James Bradley
Published: June 11, 2025 Explor Digit Health Technol. 2025;3:101153
This article belongs to the special issue Cancer Diagnosis in the Digital Age
491 29 0
Open Access Original Article
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Esther Ramlakhan ... Gavaskar Ramnanansingh
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549 35 0
Open Access Review
Virtual reality and mixed reality in the assessment of spatial memory
Sara Garcia-Navarra ... Marta Mendez
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680 43 0
Open Access Perspective
Serious games: a game changer in cancer education
Afeez A Salami ... Kehinde K Kanmodi
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508 31 0
Open Access Original Article
Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
Ashrafe Alam, Victor R. Prybutok
Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
This article belongs to the special issue Data-informed Decision Making in Healthcare
17111 677 5
Open Access Original Article
Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors
Andy Wai Kan Yeung ... Atanas G. Atanasov
Published: April 22, 2024 Explor Digit Health Technol. 2024;2:86–100
14123 641 3
Open Access Systematic Review
Do you need a blockchain in healthcare data sharing? A tertiary review
Kun Li ... Visara Urovi
Published: June 14, 2024 Explor Digit Health Technol. 2024;2:101–123
This article belongs to the special issue Data-informed Decision Making in Healthcare
10721 381 2
Open Access Perspective
Turbulence at Twitter with leadership change: implications for health research and science communication
Ronan Lordan, Hari Prasad Devkota
Published: November 01, 2023 Explor Digit Health Technol. 2023;1:4–10
This article belongs to the special issue Social Media Applications in Biomedical Research
9438 468 10
Open Access Perspective
Science communication on X (formerly Twitter): A picture is worth a thousand characters?
Himel Mondal ... Harald Willschke
Published: November 28, 2023 Explor Digit Health Technol. 2023;1:28–34
8174 359 5
Open Access Commentary
Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media
Andrew Larkin ... Perry Hystad
Published: April 08, 2024 Explor Digit Health Technol. 2024;2:59–66
This article belongs to the special issue Social Media Applications in Biomedical Research
6642 378 1
Open Access Original Article
Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
Ashrafe Alam, Victor R. Prybutok
Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
This article belongs to the special issue Data-informed Decision Making in Healthcare
17111 677 5
Open Access Original Article
Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors
Andy Wai Kan Yeung ... Atanas G. Atanasov
Published: April 22, 2024 Explor Digit Health Technol. 2024;2:86–100
14123 641 3
Open Access Perspective
Turbulence at Twitter with leadership change: implications for health research and science communication
Ronan Lordan, Hari Prasad Devkota
Published: November 01, 2023 Explor Digit Health Technol. 2023;1:4–10
This article belongs to the special issue Social Media Applications in Biomedical Research
9438 468 10
Open Access Systematic Review
Do you need a blockchain in healthcare data sharing? A tertiary review
Kun Li ... Visara Urovi
Published: June 14, 2024 Explor Digit Health Technol. 2024;2:101–123
This article belongs to the special issue Data-informed Decision Making in Healthcare
10721 381 2
Open Access Commentary
Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media
Andrew Larkin ... Perry Hystad
Published: April 08, 2024 Explor Digit Health Technol. 2024;2:59–66
This article belongs to the special issue Social Media Applications in Biomedical Research
6642 378 1
Open Access Perspective
Science communication on X (formerly Twitter): A picture is worth a thousand characters?
Himel Mondal ... Harald Willschke
Published: November 28, 2023 Explor Digit Health Technol. 2023;1:28–34
8174 359 5
Open Access Perspective
Turbulence at Twitter with leadership change: implications for health research and science communication
Ronan Lordan, Hari Prasad Devkota
Published: November 01, 2023 Explor Digit Health Technol. 2023;1:4–10
This article belongs to the special issue Social Media Applications in Biomedical Research
9438 468 10
Open Access Letter to the Editor
Harnessing the untapped potential of digital twin technology in digital public health interventions
Salman Khan ... ArunSundar MohanaSundaram
Published: November 01, 2023 Explor Digit Health Technol. 2023;1:11–16
This article belongs to the special issue Social Media Applications in Biomedical Research
6472 339 6
Open Access Perspective
Science communication on X (formerly Twitter): A picture is worth a thousand characters?
Himel Mondal ... Harald Willschke
Published: November 28, 2023 Explor Digit Health Technol. 2023;1:28–34
8174 359 5
Open Access Original Article
Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
Ashrafe Alam, Victor R. Prybutok
Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
This article belongs to the special issue Data-informed Decision Making in Healthcare
17111 677 5
Open Access Editorial
Exploration of Digital Health Technologies
Atanas G. Atanasov
Published: November 01, 2023 Explor Digit Health Technol. 2023;1:1–3
5980 349 4
Open Access Original Article
The power of #physiotherapy: a social media hashtag investigation on X (formerly Twitter)
Himel Mondal ... Atanas G. Atanasov
Published: June 24, 2024 Explor Digit Health Technol. 2024;2:135–144
This article belongs to the special issue Social Media Applications in Biomedical Research
6508 324 4

Special Issues

Ongoing Special lssues
Completed Special lssues
Expert Opinions on Digital Health Innovations
Guest Editor: Marco Tatullo
Submission Deadline: August 31, 2025
Published Articles: 0
Digital Health Technologies for the Early Detection of Oral Cancer
Guest Editor: Saman Warnakulasuriya
Submission Deadline: August 31, 2025
Published Articles: 10
Digital Health Innovations in the Battle Against Psychological Problems: Progress, Hurdles, and Prospects
Guest Editors: Pasquale Caponnetto; Mirko Casu
Submission Deadline: August 31, 2025
Published Articles: 4
Deep Learning Methods and Applications for Biomedical Imaging
Guest Editor: Robertas Damaševičius
Submission Deadline: August 31, 2025
Published Articles: 1
Telepsychiatry in Low-and Middle-income Countries: an Update
Guest Editor: Subho Chakrabarti
Submission Deadline: August 31, 2025
Published Articles: 1
Data-informed Decision Making in Healthcare
Guest Editor: Sil Aarts
Submission Deadline: August 31, 2025
Published Articles: 5
Cancer Diagnosis in the Digital Age
Guest Editor: Mohammad Reza Saeb
Submission Deadline: August 31, 2025
Published Articles: 2
Wearable Technologies and Application of Machine Learning in Healthcare
Guest Editor: Shariful Islam
Submission Deadline: August 31, 2025
Published Articles: 3
Biosensors for Bioactive Molecules
Guest Editors: J. G. Manjunatha; Chaudhery Mustansar Hussain
Submission Deadline: August 31, 2025
Published Articles: 2
Social Media Applications in Biomedical Research
Guest Editor: Devesh Tewari
Submission Deadline: May 31, 2025
Published Articles: 7

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