The DOI matches its Crossref record; 67 of the 69 references it cites were found in a registry or an index.
Status and trends of mobile-health applications for iOS devices: A developer's perspective
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“eHealth interventions—examples of which are telehealth, mobile apps, and serious games—have proliferated over the last few years, partly due to the COVID-19 pandemic [22].”
In the citing paper
“In comparison to other delivery modalities (such as face-to-face and desktop apps), smartphone apps have the advantage of delivering media-rich, personalized therapeutic content directly on the mobile device at all times of the day. 15”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [15]
In the citing paper
“These features can be accessed through native operating system programming libraries, which can be used to develop smartphone applications (apps). 15”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [15]
Citations
Cites
Understanding and Using Context
Dey, A. K. (2001) · Personal and Ubiquitous Computing · doi:10.1007/s007790170019 · Cited by 5,035
A survey on context-aware systems
Baldauf, M., Dustdar, S., & Rosenberg, F. (2007) · International Journal of Ad Hoc and Ubiquitous Computing · doi:10.1504/ijahuc.2007.014070 · Cited by 1,984
Istepanian, R. S. H., Jovanov, E., & Zhang, Y. T. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.840019 · Cited by 766
Context-aware systems: A literature review and classification
Hong, J., Suh, E., & Kim, S.-J. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.10.071 · Cited by 626
E-health: transforming the physician/patient relationship
Ball, M. J., & Lillis, J. (2001) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(00)00130-1 · Cited by 406
Context awareness in health care: A review
Bricon-Souf, N., & Newman, C. (2006) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.01.003 · Cited by 263
Mobile application market: A developer’s perspective
Holzer, A., & Ondruš, J. (2010) · Telematics and Informatics · doi:10.1016/j.tele.2010.05.006 · Cited by 260
Android: Changing the Mobile Landscape
Butler, M. (2010) · IEEE Pervasive Computing · doi:10.1109/mprv.2011.1 · Cited by 240
Istepanian, R. S. H., Laxminarayan, S., & Pattichis, C. S. (2006) · Springer eBooks · doi:10.1007/b137697 · Cited by 236
Gerber, B. S., Stolley, M. R., Thompson, A. L., Sharp, L. K., & Fitzgibbon, M. (2009) · Health Informatics Journal · doi:10.1177/1460458208099865 · Cited by 215
Flagged first, then by citations
2 of the 69 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Broens, 2007, Towards an application framework for context-aware m-health applications, International Journal of Internet Protocol Technology, 2, 109, 10.1504/IJIPT.2007.012374 · DOI
Cited by
Sorted by citations
Items 201–300 of 313
Requirements Engineering and Its Role in Mobile Telephone Industry Development
Rasool, H. F., Saher, N., Iqbal, Z., Ajmal, M. R., & Arshad, S. (2014) · Journal of Advances in Computer Networks · doi:10.7763/jacn.2014.v2.115 · Cited by 3
Sommervold, M. M. (2016) · International Journal of Sociotechnology and Knowledge Development · doi:10.4018/ijskd.2016010101 · Cited by 3
3D application effectiveness on nursing students' level of electrocardiogram knowledge
Holthaus, A. (2014) · W. S. Hoole Special Collections Library Manuscript Collections · Cited by 3
Faulkner, A. (2017) · Palgrave Macmillan UK eBooks · doi:10.1057/978-1-349-95235-9_9 · Cited by 3
ICTs and other non-pharmacological interventions for ADHD
Doulou, A., & Drigas, A. S. (2022) · Technium Social Sciences Journal · doi:10.47577/tssj.v27i1.5472 · Cited by 3
Social, Casual and Mobile Games
Shaw, A., Chess, S., & Shaw (2015) · Bloomsbury Publishing Plc eBooks · doi:10.5040/9781501310591 · Cited by 5
Engelsiz Sağlık İletişim Merkezi Mobil Uygulamasının Sistem Kullanılabilirlik Değerlendirilmesi
Uslu, D., & ARIKAN, G. (2023) · Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.26745/ahbvuibfd.1310058 · Cited by 2
ParentCoach: designing an mHealth parenting app to enhance parental involvement in ADHD support
Cibrian, F. L., Herrera, N., Beltran, J. A., Silva, L. M., Pulse, M., Anderson, K., Zeiler, C., Arnold, V. X., Rieffel, L., Lee, D. I., et al. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1694747 · Cited by 4
Vibert, J. J. M., Bourquin, C., Santis, O. D., Cobuccio, L. G., & D’Acremont, V. (2024) · BMC Digital Health · doi:10.1186/s44247-024-00118-4 · Cited by 2
Moreno, R. P., Béjar, R., Blasco, R., Marco, Á., & Zarazaga-Soria, F. J. (2017) · International Journal of Digital Earth · doi:10.1080/17538947.2017.1356387 · Cited by 2
Research on Media Coding of Dance Teaching Live System Based on iOS Platform
Zhang, C. (2015) · Advances in engineering research/Advances in Engineering Research · doi:10.2991/icimm-15.2015.222 · Cited by 2
User Exercise Pattern Prediction through Mobile Sensing
Kotsev, G., Nguyen, L. T., Zeng, M., & Zhang, J. (2014) · Mobile Computing, Applications, and Services · doi:10.4108/icst.mobicase.2014.257797 · Cited by 2
Diet, exercise, and smartphones - A content analysis of mobile applications for weight loss
Subramanian, R. (2015) · Cited by 2
Semantic Selection of Healthcare Apps
Almarri, H. B., Juric, R., & Mughal, B. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.410 · Cited by 2
Emerging Technologies for Dementia Patient Monitoring
Qassem, T. (2015) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-4666-7481-3.ch004 · Cited by 2
Lin, F. S., Lin, C., Hsueh, Y. J., Lee, C., & Hsieh, C.-P. (2016) · Communications in computer and information science · doi:10.1007/978-3-319-40542-1_52 · Cited by 2
Performance of the Brazilian version of GloboDiet software for dietary intake assessment
Marchetti, B. S., Steluti, J., Fisberg, R. M., & Marchioni, D. M. L. (2018) · Nutrire · doi:10.1186/s41110-018-0072-3 · Cited by 2
Menstruapps: sobre poder tocar, ser tocada e onde
Paletta, G. C. (2018) · Revista Tecnologia e Sociedade · doi:10.3895/rts.v14n34.7871 · Cited by 2
Mobile Health Systems Affordability in India: Perspectives of Stakeholders
Pai, R. R., & Alathur, S. (2021) · Journal of Health Management · doi:10.1177/09720634211050151 · Cited by 2
EVALUATION OF USABILITY OF MALAYSIA DIABETES PREVENTION PROGRAM (MyDiPP) MOBILE APP – A PILOT STUDY
Fauzi, N. F. M., Wafa, S. W., Abdullah, M. I., Raj, N. B., Yusof, B. N. M., Rawi, N. A., & Hassan, N. M. (2021) · Malaysian Applied Biology · doi:10.55230/mabjournal.v50i2.1992 · Cited by 2
Żyła, K. (2019) · Studies in Logic Grammar and Rhetoric · doi:10.2478/slgr-2019-0047 · Cited by 2
Cognitive Behavioral and eHealth Approaches to Promote Engagement in Treatment
Howren, M. B., Roche, A. I., & Christensen, A. J. (2020) · Wiley eBooks · doi:10.1002/9781119129530.ch12 · Cited by 2
Rewriting neighbourhoods: Zombies, Run! and the runner as rhetor
Henthorn, J. (2015) · doi:10.5040/9781501310591.ch-012 · Cited by 2
An investigation of ICT-based malaria intervention framework for rural communities
Mbunge, E. (2022) · DUT Open Scholar (Durban University of Technology) · doi:10.51415/10321/4778 · Cited by 3
Ulu, A., & Ateş, B. (2021) · Royal Society of Chemistry eBooks · doi:10.1039/9781839162756-00454 · Cited by 1
SAĞLIKTA DİJİTALİZASYON: İLERİ YAŞ BİREYLERİN SAĞLIK BAKIMINDA KULLANILAN BİR UYGULAMA
Bayrak, Ö. A., & Dalkıran, G. B. (2022) · Meriç Uluslararası Sosyal ve Stratejik Araştırmalar Dergisi · doi:10.54707/meric.1082740 · Cited by 2
Sarı, F. B., Akmansoy, Ş. C., Sırma, N. S., Aksu, P. K., KİTAPÇI, N. Ş., KİTAPÇI, O. C., Köksal, L., Karaçaylı, Ü., Ural, O., & Mumcu, G. (2023) · European Journal of Research in Dentistry · doi:10.29228/erd.45 · Cited by 1
Parlak, L., Duru, P., & Örsal, Ö. (2024) · Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi · doi:10.38108/ouhcd.1379709 · Cited by 1
ÜLKE, R., Gedik, Ö., & Atilla, E. A. (2024) · Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.18070/erciyesiibd.1526435 · Cited by 1
Validation of uHear, an iOS-based Application, as a Screening Tool for Hearing Loss
Rao, V. V., Pias, M., & Bhat, M. (2025) · Indian Journal of Otology · doi:10.4103/indianjotol.indianjotol_113_23 · Cited by 1
Rancang Bagun Aplikasi Mobile Ekatalog Berbasis IOS Sebagai Media Bantu Pengenalan Produk Miulan
Juang, A., Purwanti, D., & Kartikadarma, E. (2016) · Jurnal Informatika Upgris · doi:10.26877/jiu.v2i1.1065 · Cited by 1
Li, M., Hou, J., & Zhang, H. (2014) · Journal of the Association for Information Systems · Cited by 1
Software Frameworks in Biomedical Informatics: A Systematic Review and Research Agenda
Al-Bashayreh, M. G., Hashim, N. L., & Khorma, O. T. (2013) · Journal of Software · doi:10.4304/jsw.8.12.2996-3006 · Cited by 1
Caivano, S., Ferreira, B. J., & Domene, S. M. Á. (2014) · Cited by 1
Exploring Behavior Change Features for Mobile Workout Applications
Ünal, P., Cavdar, S. K., Temizel, T. T., Eren, P. E., & Iyengar, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-65515-4_4 · Cited by 1
Travelers’ Perceptions about m-Health Technology
Gallos, P., & Mantas, J. (2017) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2017.169 · Cited by 1
A Review on Usability, Security and Privacy for Mobile Health Applications
Asaddok, N., & Ghazali, M. (2017) · International Journal of Innovative Computing · doi:10.11113/ijic.v7n1.141 · Cited by 1
Alsaleh, S. (2021) · International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) · doi:10.1109/icecie52348.2021.9664659 · Cited by 1
eHealth Service Modeling for Developing Country
Sukkird, V., & Shirahada, K. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-9863-3.ch044 · Cited by 1
Ortiz, J. (2015) · Springer theses · doi:10.1007/978-3-319-14274-6_3 · Cited by 1
Android based Recommender System (ARS) to Detect Breast Abnormalities
Kavitha, M., Krishna, P. V., Krishna, V. R., Digavinti, S., Kalyani, M., & Divya, T. V. S. N. (2022) · International Conference on Automation, Computing and Renewable Systems (ICACRS) · doi:10.1109/icacrs55517.2022.10029264 · Cited by 1
Damar, M., Kop, O., Şaylan, Ö. F., & Erenay, F. S. (2024) · Journal of Information Systems and Management Research · doi:10.59940/jismar.1521397 · Cited by 2
Sukkird, V., & Shirahada, K. (2014) · Portland International Conference on Management of Engineering and Technology (PICMET) · Cited by 1
Ciric, V. M., Zlatanovic, J., Milovanović, E., & Stojanović, N. (2015) · International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services · doi:10.1109/telsks.2015.7357791 · Cited by 1
Present Situation of Mobile Medical Applications
Xu, F., & Zhang, S. (2016) · Open Journal of Social Sciences · doi:10.4236/jss.2016.43012 · Cited by 1
„Back on Track“: Kreuzbandstudie via Smartphone
Zens, M., Südkamp, N. P., & Niemeyer, P. (2016) · Arthroskopie · doi:10.1007/s00142-016-0098-6 · Cited by 1
Evaluating the impact of non-medical m-health application: Towards development of a framework
Fadzilah, F. M., & Arshad, N. I. (2016) · International Conference on Computer and Information Sciences · doi:10.1109/iccoins.2016.7783203 · Cited by 1
The visual distribution system of terminal logistics based on IOS
Yufeng, Z., & Jingyi, W. (2016) · International Conference on Systems and Informatics (ICSAI) · doi:10.1109/icsai.2016.7811007 · Cited by 1
Mobile Health System for Evaluation of Breast Cancer Patients During Treatment and Recovery Phases
Ollero, J., Moral-Muñoz, J. A., Rojas, I., & Baños, O. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-56154-7_58 · Cited by 1
An AHP Model to Design Mobile Applications
Çimen, E., & Öztürk, G. (2014) · ISAHP proceedings · doi:10.13033/isahp.y2014.022 · Cited by 1
Using gamification in wearables and m-health applications to maximize customer engagement
Erdil, M. (2019) · Cited by 1
m ‐Health Computing: m ‐Health 2.0, Social Networks, Health Apps, Cloud, and Big Health Data
Istepanian, R. S. H., & Woodward, B. (2016) · Wiley eBooks · doi:10.1002/9781119302889.ch3 · Cited by 1
Comparison of Self-monitoring Feedback Data from Electronic Food and Nutrition Tracking ToolsPreprint
Fadhil, A. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.08376 · Cited by 2
Design and Implementation on Concert Live System for iOS Platform
Luo, L. (2015) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/icemct-15.2015.324
The Study of User Download Behavior in Application Stores and Its Influencing Factors
He, C., Shu, W., & Du, D. (2013) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-40078-0_14
Al-Bashayreh, M. G., Hashim, N. L., & Khorma, O. T. (2012) · IEEE Conference on Open Systems · doi:10.1109/icos.2012.6417652
Attention-Based Health Monitoring
Θεοδοσίου, Ζ., & Tsapatsoulis, N. (2013) · International Journal of Monitoring and Surveillance Technologies Research · doi:10.4018/ijmstr.2013070105
Enhancing the Daily Routines of Equine Veterinarians using Mobile Technology
Leskinen, S. (2012) · International Journal of Systems and Service-Oriented Engineering · doi:10.4018/jssoe.2012100101
Pro, S., LeBlanc, A., Wasjutin, A., & Williams, R. (2015) · doi:10.33015/dominican.edu/2015.ot.07
The Anatomy of Context-aware Mobile Patient Monitoring Completed Research Paper
Lienhard, K. R., & Legner, C. (2015)
mHealth Support System for Researchers and Participants
Fayezeen, T. (2016) · e-Publications@Marquette (Marquette University)
Automatic Ship Lockage Based on Magnetic Mooring
Zhang, Q., Zhou, Z., & Jian-wen, M. (2015)
Learning human-mobile nearness with multiple sensors data from steady and non-steady spaces
Orimaye, S. O., Lee, C. H., & Ng, E. C. H. (2017) · International Journal of Intelligent Systems Technologies and Applications · doi:10.1504/ijista.2017.081313
Ruiz, P. J., & Cardenas, C. B. (2016) · Ciencia Unemi · doi:10.29076/issn.2528-7737vol9iss20.2016pp36-49p
A Study on the Effects of Lifestyle on Health Applications
Shin, Y. J., & Suh, W. (2016) · The e-Business Studies · doi:10.20462/tebs.2016.12.17.6.157
Healthcare Application for Foreigners Living in China
Rehman, S. A., Chen, Z., & Haris, M. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-60483-1_15
Design and Implementation of a Smartphone Application for Estimating Foot Clearance during Walking
Yousefian, M. (2017) · Summit (Simon Fraser University)
Reminder Control System for Children Medical Care using Smart Phone Application
AlAwadhi, F., Alkandari, A. A., & Alshammari, A. M. (2015) · International Journal on Perceptive and Cognitive Computing · doi:10.31436/ijpcc.v1i1.11
Tele-Care Mobile Sensing Systems
Suárez, Á., & Macías, E. M. (2016) · IGI Global eBooks · doi:10.4018/978-1-4666-9978-6.ch083
E-Health Service Model for Asian Developing Countries
Sukkird, V., & Shirahada, K. (2017) · Advances in e-business research series · doi:10.4018/978-1-5225-5026-6.ch011
A Review on Individual Assessment of Strength Training Using Smartphone Applications
Jensen, N. B. K., & Holte, M. B. (2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-76908-0_28
Rucita, C. B., & Oktivasari, P. (2016) · MULTINETICS · doi:10.32722/multinetics.v2i1.1049
Critical Success Factors for Adopting Telemedicine Applications
Maris, A., Yousfi, A., Ramshorst, S. V., & Ravesteyn, P. (2018) · Communications of the IIMA · doi:10.58729/1941-6687.1374
SmartAsthma an iOS application development for inhaler user
Yang, R. (2018) · D-Scholarship@Pitt (University of Pittsburgh)
Tap and Swipe Activity Zones on Smartphones for Novice Older Adults
Silva, P. A., Leitão, R., & Kerwin, M. K. (2018) · International Journal of Creative Interfaces and Computer Graphics · doi:10.4018/ijcicg.2018070102
Evaluation of Mobile Health Services in Health Organizations
Saad, A. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-22354-0_50
Guettabi, M. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3179844
The Effect of Feedback on Children's Physical Activity: A Randomized Control Trial in AlaskaPreprint
Guettabi, M. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3179820
(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets51663
The Effect of Incentives of Physical Activity: An Alaska ExperimentPreprint
Guettabi, M. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3179843
Economical Mobile Healthcare and Wellness Application SystemPreprint
Jangir, M. K., Singh, K., & Shankar, V. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3166723
Patterns of Smartphone Usage among Clinicians in Clinical Settings
Majid, A., Sarfraz, F., Mehboob, U., Sarfraz, F., Zubair, A., & Khan, R. A. (2021) · Pakistan Journal of Medical and Health Sciences · doi:10.53350/pjmhs211592906
Lee, C., Chi, L., Huang, J., & Lin, C. (2020) · doi:10.2196/preprints.20340
Detection of Cerebrovascular Disease with Mobile Application (Preprint)Preprint
Wu, Z., Wang, X., Wen, T., Shui, W., Zhu, Y., & Zhou, M. (2018) · doi:10.2196/preprints.10818
Cicek, S. (2022) · BOĞAZİÇİ TIP DERGİSİ · doi:10.14744/bmj.2022.86547
Emerging Technologies for Dementia Patient Monitoring
Qassem, T. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-2589-9.ch006
E-Health Service Model for Asian Developing Countries
Sukkird, V., & Shirahada, K. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5295-0.ch030
Tap and Swipe Activity Zones on Smartphones for Novice Older Adults
Silva, P. A., Leitão, R., & Kerwin, M. K. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5295-0.ch051
Enhancing the Daily Routines of Equine Veterinarians Using Mobile Technology
Leskinen, S. (2018) · IGI Global eBooks · doi:10.4018/978-1-5225-5640-4.ch010
Lu, C., Hu, Y., Xie, J., Fu, Q. J., Leigh, I., Governor, S., & Wang, G. (2017) · doi:10.2196/preprints.9145.a
(2020) · Issues in Information Systems · doi:10.48009/1_iis_2020_30-36
Salvi, D., Velardo, C., Goburdhun, A. R., & Tarassenko, L. (2020) · doi:10.2196/preprints.18786
Rucita, C. B., & Oktivasari, P. (2016) · MULTINETICS · doi:10.32722/multinetics.vol2.no.1.2016.pp.49-54
Demographic determinants of perception and usage of mobile health services in Australia (Preprint)Preprint
Talukder, M., Aroos-Sheriffdeen, S., Khan, M. I., Quazi, A. M., & Abdullah, A. (2019) · doi:10.2196/preprints.16394
Metadata
- Authors
- Liu, C., Zhu, Q., Holroyd, K. A., & Seng, E. K.
- Affiliations
- Ohio University (US)
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 84
- Issue
- 11
- Pages
- 2022-2033
- ISSN
- 0164-1212 (ISSN-L)
- OpenAlex
- W2105450965
- Cited by
- 313
- References
- 69
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 15 · 2023: 11 · 2022: 20 · 2021: 19 · 2020: 13 · 2019: 18 · 2018: 31 · 2017: 41 · 2016: 34 · 2015: 36 · 2014: 37 · 2013: 20 · 2012: 8
- FWCI
- 39.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Systems and Software (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Keywords
- mobile health apps, iOS, App Store, e-health, health tracking apps, user satisfaction, context awareness, 3D visualization, user interface design, app architecture
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review