Chia‐Lun Lo

569 total citations
24 papers, 419 citations indexed

About

Chia‐Lun Lo is a scholar working on Sociology and Political Science, Information Systems and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chia‐Lun Lo has authored 24 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Information Systems and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chia‐Lun Lo's work include Complementary and Alternative Medicine Studies (3 papers), Technology Adoption and User Behaviour (3 papers) and Diabetes Management and Education (2 papers). Chia‐Lun Lo is often cited by papers focused on Complementary and Alternative Medicine Studies (3 papers), Technology Adoption and User Behaviour (3 papers) and Diabetes Management and Education (2 papers). Chia‐Lun Lo collaborates with scholars based in Taiwan, China and United States. Chia‐Lun Lo's co-authors include Ya‐Han Hu, Sheng-Pao Shih, Hsiao‐Ting Tseng, Fan Wu, Hsiao‐Yun Chang, Chun‐Chih Chen, Solomon Chih‐Cheng Chen, Sheng‐Feng Sung, Chi‐Hua Chen and Ya‐Hui Yang and has published in prestigious journals such as Computers in Human Behavior, Applied Sciences and Clinical Journal of Pain.

In The Last Decade

Chia‐Lun Lo

24 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chia‐Lun Lo Taiwan	9	170	119	71	55	44	24	419
Milan Vukičević Serbia	12	72 0.4×	170 1.4×	18 0.3×	83 1.5×	60 1.4×	27	408
Abigail S. Gertner United States	11	192 1.1×	467 3.9×	24 0.3×	79 1.4×	50 1.1×	26	711
David Shields United States	13	41 0.2×	76 0.6×	15 0.2×	59 1.1×	102 2.3×	28	511
Adam Wong Hong Kong	6	25 0.1×	83 0.7×	40 0.6×	35 0.6×	134 3.0×	20	488
Ali Alshahrani Saudi Arabia	10	43 0.3×	40 0.3×	17 0.2×	28 0.5×	7 0.2×	62	416
Allen Flynn United States	14	17 0.1×	48 0.4×	30 0.4×	29 0.5×	179 4.1×	56	739
Tina Jones Australia	13	46 0.3×	82 0.7×	9 0.1×	282 5.1×	9 0.2×	19	720
Larry Liu United States	10	84 0.5×	80 0.7×	5 0.1×	24 0.4×	13 0.3×	27	482
Matt-Mouley Bouamrane United Kingdom	17	8 0.0×	94 0.8×	21 0.3×	39 0.7×	151 3.4×	64	799
Rosanna Yuen-Yan Chan Hong Kong	10	32 0.2×	32 0.3×	68 1.0×	25 0.5×	6 0.1×	30	393

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-authorship network of co-authors of Chia‐Lun Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Lun Lo. A scholar is included among the top collaborators of Chia‐Lun Lo 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 Chia‐Lun Lo. Chia‐Lun Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tseng, Hsiao‐Ting & Chia‐Lun Lo. (2025). Enhancing Social Bonding and Well-being for the Elderly through AI-Powered Social Robots. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

Tseng, Hsiao‐Ting, Chia‐Lun Lo, & Chun‐Chih Chen. (2023). The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps. Journal of Global Information Management. 31(1). 1–20. 14 indexed citations

Chang, Hsiao‐Yun, Yahui Yang, Chia‐Lun Lo, & Yu‐Yao Huang. (2022). Factors Considered Important by Healthcare Professionals for the Management of Using Complementary Therapy in Diabetes. CIN Computers Informatics Nursing. 41(6). 426–433. 2 indexed citations

Chang, Hsiao‐Yun, et al.. (2021). Development of the Benefit-Risk Assessment of Complementary and Alternative Medicine Use in People With Diabetes. CIN Computers Informatics Nursing. 39(7). 384–391. 5 indexed citations

Wang, Yunyi, et al.. (2021). [The Relationship Between Symptoms and Nursing Diagnoses in Hospitalized Patients With Dengue Fever].. PubMed. 68(4). 32–42. 1 indexed citations

Lo, Chia‐Lun, Ya‐Hui Yang, & Hsiao‐Ting Tseng. (2021). A Fact-Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria. Journal of Healthcare Engineering. 2021. 1–10. 4 indexed citations

Wang, Chih-Chiang, et al.. (2020). Implementation a Context-Aware Plant Ecology Mobile Learning System. SAGE Open. 10(2). 3 indexed citations

Lo, Chia‐Lun, et al.. (2020). Applying Data Mining Techniques for Predicting Prognosis in Patients with Rheumatoid Arthritis. Healthcare. 8(2). 85–85. 4 indexed citations

Chang, Hsiao‐Yun, et al.. (2019). Development and validation of traditional & complementary medicine (TCM) scales for nurses: Using structural equation modelling (SEM). BMC Complementary and Alternative Medicine. 19(1). 321–321. 7 indexed citations

10.

Tseng, Hsiao‐Ting, et al.. (2019). Predicting Dementia Risk to Depressive Disorder Patients: A classification Approach. 1–6. 1 indexed citations

11.

Liao, Yi-Wen, et al.. (2018). The Intention to Use the APPs of Smartphone: An Integration of Individual Differences and Browsing Experiences Perspective. Clinical Journal of Pain. 19(2). 439–449. 3 indexed citations

12.

Lo, Chia‐Lun, Hsiao‐Ting Tseng, & Chi‐Hua Chen. (2018). Does Medical Students’ Personality Traits Influence Their Attitudes toward Medical Errors?. Healthcare. 6(3). 101–101. 12 indexed citations

13.

Lo, Chia‐Lun. (2018). The Correlative Study of Health Literacy and Health Status for Diabetic Patients in Taiwan. 2(2). 1 indexed citations

14.

Lo, Chia‐Lun, et al.. (2017). Learning under time pressure: Learners who think positively achieve superior learning outcomes from creative teaching methods using picture books. Thinking Skills and Creativity. 27. 55–63. 17 indexed citations

15.

Hu, Ya‐Han, et al.. (2016). Predicting the prolonged length of stay of general surgery patients: a supervised learning approach. International Transactions in Operational Research. 25(1). 75–90. 31 indexed citations

16.

Sung, Sheng‐Feng, et al.. (2015). Predicting Factors and Risk Stratification for Return Visits to the Emergency Department Within 72 Hours in Pediatric Patients. Pediatric Emergency Care. 31(12). 819–824. 23 indexed citations

17.

Hu, Ya‐Han, et al.. (2015). The Identification of Prolonged Length of Stay for Surgery Patients. 9 indexed citations

18.

Hu, Ya‐Han, Chia‐Lun Lo, & Sheng-Pao Shih. (2014). Developing early warning systems to predict students’ online learning performance. Computers in Human Behavior. 36. 469–478. 206 indexed citations

19.

Lo, Chia‐Lun, et al.. (2013). Improvement of Adequate Use of Warfarin for the Elderly Using Decision Tree-based Approaches. Methods of Information in Medicine. 53(1). 47–53. 24 indexed citations

20.

Hu, Ya‐Han, et al.. (2012). Predicting warfarin dosage from clinical data: A supervised learning approach. Artificial Intelligence in Medicine. 56(1). 27–34. 40 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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