Ing Tiong

446 total citations
7 papers, 76 citations indexed

About

Ing Tiong is a scholar working on General Health Professions, Surgery and Health Information Management. According to data from OpenAlex, Ing Tiong has authored 7 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 2 papers in Surgery and 2 papers in Health Information Management. Recurrent topics in Ing Tiong's work include Healthcare Technology and Patient Monitoring (2 papers), Interpreting and Communication in Healthcare (2 papers) and Mobile Health and mHealth Applications (2 papers). Ing Tiong is often cited by papers focused on Healthcare Technology and Patient Monitoring (2 papers), Interpreting and Communication in Healthcare (2 papers) and Mobile Health and mHealth Applications (2 papers). Ing Tiong collaborates with scholars based in United States. Ing Tiong's co-authors include Mikhail Dziadzko, Brian W. Pickering, Vitaly Herasevich, Steve G. Peters, Craig Daniels, John C. O’Horo, Michelle N. Gong, Natalia Olchanski, Lindsey M. Philpot and Pablo Moreno Franco and has published in prestigious journals such as Journal of Pain and Symptom Management, Journal of Medical Systems and BMC Medical Informatics and Decision Making.

In The Last Decade

Ing Tiong

7 papers receiving 71 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ing Tiong United States	5	23	20	19	19	17	7	76
Akshay Khunte United States	8	12 0.5×	6 0.3×	16 0.8×	44 2.3×	15 0.9×	19	187
Michael Mittelman United States	6	40 1.7×	15 0.8×	9 0.5×	52 2.7×	7 0.4×	16	140
Francisco Estupiñán‐Romero Spain	5	10 0.4×	9 0.5×	10 0.5×	3 0.2×	12 0.7×	22	78
Katie Allen United States	8	27 1.2×	28 1.4×	11 0.6×	4 0.2×	39 2.3×	20	161
Nasloon Ali United Arab Emirates	10	51 2.2×	7 0.3×	15 0.8×	7 0.4×	21 1.2×	22	200
Mohammed Almazyad Saudi Arabia	6	13 0.6×	13 0.7×	2 0.1×	31 1.6×	15 0.9×	11	103
Neema W. Minja United States	4	33 1.4×	17 0.8×	8 0.4×	3 0.2×	25 1.5×	6	101
Ahmad Alrawashdeh Jordan	5	11 0.5×	9 0.5×	3 0.2×	11 0.6×	4 0.2×	31	90
Agron Dogjani Albania	6	53 2.3×	32 1.6×	4 0.2×	3 0.2×	19 1.1×	42	132
Rasika Sudharshan United States	3	13 0.6×	5 0.3×	3 0.2×	30 1.6×	3 0.2×	7	53

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-authorship network of co-authors of Ing Tiong

This figure shows the co-authorship network connecting the top 25 collaborators of Ing Tiong. A scholar is included among the top collaborators of Ing Tiong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ing Tiong. Ing Tiong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Wilson, Patrick M., Diane Howard, Bruce Sutor, et al.. (2024). Harnessing health information technology to promote equitable care for patients with limited English proficiency and complex care needs. Trials. 25(1). 450–450. 4 indexed citations

2.

Wilson, Patrick M., et al.. (2024). Interim Results From a Stepped Wedge Cluster Randomized Trial Using Artificial Intelligence to Increase Interpreter Use for Patients With Language Barriers. A6730–A6730. 1 indexed citations

3.

Wilson, Patrick M., Priya Ramar, Lindsey M. Philpot, et al.. (2023). Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial. Journal of Pain and Symptom Management. 66(1). 24–32. 27 indexed citations

4.

Olchanski, Natalia, Mikhail Dziadzko, Ing Tiong, et al.. (2017). Can a Novel ICU Data Display Positively Affect Patient Outcomes and Save Lives?. Journal of Medical Systems. 41(11). 171–171. 24 indexed citations

5.

Dziadzko, Mikhail, Charat Thongprayoon, Adil Ahmed, et al.. (2016). Automatic quality improvement reports in the intensive care unit: One step closer toward meaningful use. World Journal of Critical Care Medicine. 5(2). 165–165. 8 indexed citations

6.

Dziadzko, Mikhail, Andrew M. Harrison, Ing Tiong, et al.. (2016). Testing modes of computerized sepsis alert notification delivery systems. BMC Medical Informatics and Decision Making. 16(1). 156–156. 10 indexed citations

7.

Tiong, Ing, Abdul Hafeez‐Baig, Raj Gururajan, & Jeffrey Soar. (2006). Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia. University of Southern Queensland ePrints (University of Southern Queensland). 2 indexed citations

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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