Ting‐Ting Lee

568 total citations
24 papers, 424 citations indexed

About

Ting‐Ting Lee is a scholar working on Health Information Management, Issues, ethics and legal aspects and General Health Professions. According to data from OpenAlex, Ting‐Ting Lee has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health Information Management, 8 papers in Issues, ethics and legal aspects and 5 papers in General Health Professions. Recurrent topics in Ting‐Ting Lee's work include Electronic Health Records Systems (10 papers), Nursing Diagnosis and Documentation (8 papers) and Mobile Health and mHealth Applications (4 papers). Ting‐Ting Lee is often cited by papers focused on Electronic Health Records Systems (10 papers), Nursing Diagnosis and Documentation (8 papers) and Mobile Health and mHealth Applications (4 papers). Ting‐Ting Lee collaborates with scholars based in Taiwan, United States and China. Ting‐Ting Lee's co-authors include Mary Etta Mills, Su‐Chen Kuo, Tzu‐Ying Lee, Barker Bausell, Joanne Yip, Kit‐Lun Yick, Chun‐wah Marcus Yuen, Feng Ding, Chieh‐Yu Liu and Marcelo Chen and has published in prestigious journals such as Journal of Biological Chemistry, Sensors and Actuators B Chemical and Journal of Advanced Nursing.

In The Last Decade

Ting‐Ting Lee

20 papers receiving 380 citations

Peers

Ting‐Ting Lee
Comparison fields: 5 of 87
  • Health Information Management 176
  • Issues, ethics and legal aspects 168
  • General Health Professions 160
  • Public Health, Environmental and Occupational Health 59
  • Pediatrics, Perinatology and Child Health 40
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Citations per field, relative to Ting‐Ting Lee
Ting‐Ting Lee · 1×
Citations per year, relative to Ting‐Ting Lee
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Countries citing papers authored by Ting‐Ting Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Ting Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Ting Lee. 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 Ting‐Ting Lee. The network helps show where Ting‐Ting Lee may publish in the future.

Co-authorship network of co-authors of Ting‐Ting Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Ting Lee. A scholar is included among the top collaborators of Ting‐Ting Lee 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 Ting‐Ting Lee. Ting‐Ting Lee 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 5
6 3
7 6
8 7
9 11
10 6
11 19
12 10
13 40
14 51
15 21
16 40
17 33
18
A study of network education application on nursing staff continuing education effectiveness and staff's satisfaction.
1
19 57
20 74

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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