Chia‐Lun Lo

24 papers receiving 408 citations

Peers

Chia‐Lun Lo
Comparison fields: 5 of 99
  • Computer Science Applications 171
  • Health Informatics 12
  • Health Information Management 37
  • Emergency Medicine 28
  • Artificial Intelligence 111
Replace Abigail S. Gertner with:
Abigail S. Gertner United States
Sokratis Nifakos Sweden
Adam Wong Hong Kong
Larry Liu United States
Omar A. Alshaya Saudi Arabia
Behrooz Davazdahemami United States
Cecília Dias Flores Brazil
Marius Fieschi France
David Shields United States
Maha Al-Yahya Saudi Arabia
Chia‐Lun Lo relative to Abigail S. Gertner United States Abigail S. Gertner's profile →
Citations per field
00.5×4.2×
Abigail S. Gertner · 1×
Citations per year

Countries citing papers authored by Chia‐Lun Lo

Since Specialization
Citations

This map shows the geographic impact of Chia‐Lun Lo'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 Chia‐Lun Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Lun Lo more than expected).

Fields of papers citing papers by Chia‐Lun Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Lun Lo. 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 Chia‐Lun Lo. The network helps show where Chia‐Lun Lo may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia‐Lun Lo, 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 Chia‐Lun Lo Line = papers co-authored together Chia‐Lun Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014207
2 201242
3 201631
4 201525
5 201325
6 201717
7 202316
8 201812
9 20159
10 20197
11 20215
12 20175
13 20214
14 20204
15 20204
16 20203
17 20183
18 20222
19 20181
20 20221

About Chia‐Lun Lo

Chia‐Lun Lo is a scholar working on Information Systems, Sociology and Political Science, Information Systems and Management, Public Health, Environmental and Occupational Health and Complementary and alternative medicine, having authored 24 papers that have together received 427 indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (3 papers), Technology Adoption and User Behaviour (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Digital Marketing and Social Media (2 papers), Diabetes Management and Education (2 papers), Healthcare Operations and Scheduling Optimization (2 papers), Online Learning and Analytics (1 paper) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Computer Science Applications (171 citations), Health Informatics (12 citations), Health Information Management (37 citations), Emergency Medicine (28 citations) and Artificial Intelligence (111 citations). Chia‐Lun Lo has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ya‐Han Hu, Sheng-Pao Shih, Hsiao‐Ting Tseng, Fan Wu, Hsiao‐Yun Chang, Chun‐Chih Chen, Solomon Chih‐Cheng Chen, Chi‐Hua Chen, Sheng‐Feng Sung and Wei‐Chao Lin. Their work appears in journals such as CIN Computers Informatics Nursing, Pediatric Emergency Care, Artificial Intelligence in Medicine, Applied Sciences and Methods of Information in Medicine.

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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