Ing Tiong

482 citations
7 papers · 80 · h-index 5

Impact in

Papers in

    • Interpreting and Communication in Healthcare 2
    • Mobile Health and mHealth Applications 1
    • Healthcare Technology and Patient Monitoring 1

Ing Tiong

7 papers receiving 76 citations

Peers

Ing Tiong
Comparison fields: 5 of 36
  • Health Informatics 13
  • Health Information Management 12
  • Medical Laboratory Technology 2
  • Emergency Medical Services 6
  • Issues, ethics and legal aspects 1
Replace Paulino Alvarez with:
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Fizza Orooj Pakistan
Andy Rosser United Kingdom
Neema W. Minja United States
Fatos Olldashi United States
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Syed Nabeel Muzaffar India
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Ing Tiong

Since Specialization
Citations

This map shows the geographic impact of Ing Tiong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ing Tiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ing Tiong more than expected).

Fields of papers citing papers by Ing Tiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ing Tiong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ing Tiong. The network helps show where Ing Tiong may publish in the future.

Co-authors

The 25 scholars most cited alongside Ing Tiong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ing Tiong Line = papers co-authored together Ing Tiong links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202330
2 201724
3 201610
4 20168
5 20245
6
Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia
20062
7 20241

About Ing Tiong

Ing Tiong is a scholar working on General Health Professions, Surgery, Health Information Management, Sociology and Political Science and Epidemiology, having authored 7 papers that have together received 80 indexed citations. Recurring topics across this work include Interpreting and Communication in Healthcare (2 papers), Electronic Health Records Systems (1 paper), Palliative Care and End-of-Life Issues (1 paper), Focus Groups and Qualitative Methods (1 paper), Technology Use by Older Adults (1 paper), Healthcare Technology and Patient Monitoring (1 paper), Mobile Health and mHealth Applications (1 paper) and Sepsis Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (12 citations), Medical Laboratory Technology (2 citations), Emergency Medical Services (6 citations) and Issues, ethics and legal aspects (1 citation). Ing Tiong has collaborated with scholars based in United States. Frequent co-authors include Mikhail Dziadzko, Vitaly Herasevich, Brian W. Pickering, Natalia Olchanski, John C. O’Horo, Craig Daniels, Michelle N. Gong, Steve G. Peters, Priya Ramar and Pablo Moreno Franco. Their work appears in journals such as Journal of Pain and Symptom Management, BMC Medical Informatics and Decision Making, Journal of Medical Systems, Trials and University of Southern Queensland ePrints (University of Southern Queensland).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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