Sheng-Chieh Lu

608 total citations
27 papers, 339 citations indexed

About

Sheng-Chieh Lu is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Sheng-Chieh Lu has authored 27 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Oncology. Recurrent topics in Sheng-Chieh Lu's work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Nursing Diagnosis and Documentation (4 papers). Sheng-Chieh Lu is often cited by papers focused on Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Nursing Diagnosis and Documentation (4 papers). Sheng-Chieh Lu collaborates with scholars based in United States, Germany and Austria. Sheng-Chieh Lu's co-authors include Chris Sidey‐Gibbons, André Pfob, Caroline Chung, David A. Jaffray, Cai Xu, Karen A. Monsen, Abbas M. Hassan, Malke Asaad, Yimin Geng and Anaeze C. Offodile and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Sheng-Chieh Lu

26 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng-Chieh Lu United States 11 69 64 54 53 48 27 339
Jenny Krutzinna Norway 8 126 1.8× 125 2.0× 59 1.1× 26 0.5× 60 1.3× 22 461
Iain B. McInnes United Kingdom 2 94 1.4× 88 1.4× 48 0.9× 23 0.4× 34 0.7× 3 302
Avery Smith United States 4 120 1.7× 140 2.2× 58 1.1× 32 0.6× 80 1.7× 11 354
Matthew Nagy United States 9 59 0.9× 60 0.9× 58 1.1× 14 0.3× 68 1.4× 26 325
Natalia Norori United Kingdom 4 103 1.5× 198 3.1× 93 1.7× 21 0.4× 47 1.0× 8 421
Isabel Chien United States 11 51 0.7× 44 0.7× 18 0.3× 33 0.6× 126 2.6× 16 395
William Mitchell United States 9 59 0.9× 137 2.1× 110 2.0× 31 0.6× 52 1.1× 22 421
Maxine Mackintosh United Kingdom 5 105 1.5× 124 1.9× 46 0.9× 19 0.4× 39 0.8× 10 314
Shruti Jayakumar United Kingdom 9 32 0.5× 50 0.8× 40 0.7× 71 1.3× 36 0.8× 25 281
Pierre Elias United States 11 114 1.7× 96 1.5× 57 1.1× 18 0.3× 23 0.5× 28 460

Countries citing papers authored by Sheng-Chieh Lu

Since Specialization
Citations

This map shows the geographic impact of Sheng-Chieh Lu'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 Sheng-Chieh Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Chieh Lu more than expected).

Fields of papers citing papers by Sheng-Chieh Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng-Chieh Lu. 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 Sheng-Chieh Lu. The network helps show where Sheng-Chieh Lu may publish in the future.

Co-authorship network of co-authors of Sheng-Chieh Lu

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

All Works

20 of 20 papers shown
1.
Lu, Sheng-Chieh, Wonho Song, André Pfob, & Chris Sidey‐Gibbons. (2025). Assessing the representativeness of large medical data using population stability index. BMC Medical Research Methodology. 25(1). 44–44. 2 indexed citations
2.
Lu, Sheng-Chieh, Cai Xu, Manraj Kaur, et al.. (2025). Can machine translation match human expertise? Quantifying the performance of large language models in the translation of patient-reported outcome measures (PROMs). Journal of Patient-Reported Outcomes. 9(1). 94–94. 1 indexed citations
3.
4.
Asaad, Malke, Sheng-Chieh Lu, Abbas M. Hassan, et al.. (2023). The Use of Machine Learning for Predicting Complications of Free-Flap Head and Neck Reconstruction. Annals of Surgical Oncology. 30(4). 2343–2352. 19 indexed citations
5.
Austin, Robin, et al.. (2023). Documentation of Complementary and Integrative Health Therapies in the Electronic Health Record: A Scoping Review. Journal of Integrative and Complementary Medicine. 29(8). 483–491. 2 indexed citations
6.
Lu, Sheng-Chieh, Ian Porter, José M Valderas, Conrad Harrison, & Chris Sidey‐Gibbons. (2023). Effectiveness of routine provision of feedback from patient‐reported outcome measurements for cancer care improvement: a systematic review and meta-analysis. Journal of Patient-Reported Outcomes. 7(1). 54–54. 17 indexed citations
7.
George, Renee D., et al.. (2023). Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting. SHILAP Revista de lepidopterología. 3(1). 88–88. 4 indexed citations
8.
Austin, Robin, et al.. (2023). Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition. Journal of the American Medical Informatics Association. 31(2). 426–434. 8 indexed citations
9.
10.
Lu, Sheng-Chieh, et al.. (2023). On the importance of interpretable machine learning predictions to inform clinical decision making in oncology. Frontiers in Oncology. 13. 1129380–1129380. 57 indexed citations
11.
Lu, Sheng-Chieh, Mei Wang, Angela Hardi, et al.. (2022). Effectiveness and Minimum Effective Dose of App-Based Mobile Health Interventions for Anxiety and Depression Symptom Reduction: Systematic Review and Meta-Analysis. JMIR Mental Health. 9(9). e39454–e39454. 23 indexed citations
12.
Xu, Cai, Ishwaria M. Subbiah, Sheng-Chieh Lu, André Pfob, & Chris Sidey‐Gibbons. (2022). Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data. Quality of Life Research. 32(3). 713–727. 13 indexed citations
13.
Sidey‐Gibbons, Chris, Charlotte C. Sun, Amy Schneider, et al.. (2022). Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data. Scientific Reports. 12(1). 21269–21269. 13 indexed citations
14.
Lu, Sheng-Chieh, et al.. (2022). Content Validity of the Omaha System Target Terms for Integrative Healthcare Interventions. Research and theory for nursing practice. 36(3). 239–264. 1 indexed citations
15.
16.
Pfob, André, Chris Sidey‐Gibbons, Sheng-Chieh Lu, et al.. (2021). Contrast of Digital and Health Literacy Between IT and Health Care Specialists Highlights the Importance of Multidisciplinary Teams for Digital Health—A Pilot Study. JCO Clinical Cancer Informatics. 5(5). 734–745. 18 indexed citations
17.
Austin, Robin, Sheng-Chieh Lu, Lisiane Pruinelli, et al.. (2021). Evaluating Systemized Nomenclature of Medicine Clinical Terms Coverage of Complementary and Integrative Health Therapy Approaches Used Within Integrative Nursing, Health, and Medicine. CIN Computers Informatics Nursing. 39(12). 1000–1006. 3 indexed citations
18.
Sidey‐Gibbons, Chris, Charlotte C. Sun, Cai Xu, et al.. (2021). Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data.. Journal of Clinical Oncology. 39(15_suppl). e13555–e13555. 1 indexed citations
19.
Lu, Sheng-Chieh, et al.. (2020). Informatics and Artificial Intelligence Approaches that Promote Use of Integrative Health Therapies in Nursing Practice: A Scoping Review. OBM Integrative and Complementary Medicine. 5(1). 1–22. 4 indexed citations
20.
Lu, Sheng-Chieh, et al.. (2016). Using ADDIE Model to Develop a Nursing Information System Training Program for New Graduate Nurse. Studies in health technology and informatics. 225. 969–70. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jenny Krutzinna Breakdown of academic impact, for papers by Iain B. McInnes Breakdown of academic impact, for papers by Avery Smith Breakdown of academic impact, for papers by Matthew Nagy Breakdown of academic impact, for papers by Natalia Norori Breakdown of academic impact, for papers by Isabel Chien Breakdown of academic impact, for papers by William Mitchell Breakdown of academic impact, for papers by Maxine Mackintosh Breakdown of academic impact, for papers by Shruti Jayakumar Breakdown of academic impact, for papers by Pierre Elias
Rankless by CCL
2026