Sheng-Chieh Lu
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Issues, ethics and legal aspects top 10%
Papers in
-
- Machine Learning in Healthcare 6
-
- Palliative Care and End-of-Life Issues 4
- Co-authors
- Chris Sidey‐Gibbons (15 shared papers)André Pfob (5 shared papers)Caroline Chung (1 shared paper)David A. Jaffray (1 shared paper)Cai Xu (6 shared papers)Malke Asaad (2 shared papers)Abbas M. Hassan (2 shared papers)Karen A. Monsen (7 shared papers)
- Journals
- JCO Clinical Cancer Informatics (2 papers)Journal of Clinical Oncology (2 papers)BMC Medical Research Methodology (2 papers)Journal of the American College of Surgeons (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Sheng-Chieh Lu
26 papers receiving 335 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 64
- Issues, ethics and legal aspects 11
- Health Information Management 32
- Applied Psychology 23
- Radiology, Nuclear Medicine and Imaging 54
Countries citing papers authored by Sheng-Chieh Lu
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
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-authors
The 25 scholars most cited alongside Sheng-Chieh Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 57 | |
| 2 | 2022 | 47 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 28 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2016 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 2 |
About Sheng-Chieh Lu
Sheng-Chieh Lu is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health, Oncology, General Health Professions and Surgery, having authored 27 papers that have together received 339 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Nursing Diagnosis and Documentation (4 papers), Palliative Care and End-of-Life Issues (4 papers), Electronic Health Records Systems (3 papers), Cancer survivorship and care (3 papers), Global Cancer Incidence and Screening (3 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in Health Informatics (64 citations), Issues, ethics and legal aspects (11 citations), Health Information Management (32 citations), Applied Psychology (23 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Sheng-Chieh Lu has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Chris Sidey‐Gibbons, André Pfob, Caroline Chung, David A. Jaffray, Cai Xu, Malke Asaad, Abbas M. Hassan, Karen A. Monsen, Yimin Geng and Robin Austin. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of Clinical Oncology, BMC Medical Research Methodology, Journal of the American College of Surgeons and Scientific Reports.
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.