Miye Wang

645 citations
26 papers · 396 indexed · h-index 12

Impact in

Papers in

    • Artificial Intelligence in Healthcare and Education 2
    • Diabetes Treatment and Management 4
    • Diabetes Management and Education 3
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
    • Diabetes, Cardiovascular Risks, and Lipoproteins 2

Miye Wang

26 papers receiving 392 citations

Peers

Miye Wang
Comparison fields: 5 of 99
  • Health Informatics 15
  • Endocrinology, Diabetes and Metabolism 107
  • Neurology 42
  • Health Information Management 23
  • Geriatrics and Gerontology 17
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Venexia Walker United Kingdom
Abdus Salam Khan Pakistan
Chia‐Te Liao Taiwan
Billy Wu New Zealand
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Dagmar F. Hernández-Suárez Puerto Rico
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Citations per field
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Venexia Walker · 1×
Citations per year

Countries citing papers authored by Miye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Miye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miye Wang. 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 Miye Wang. The network helps show where Miye Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202251
2 202043
3 202132
4 202227
5 200827
6 202226
7 201824
8 202223
9 201822
10 202318
11 202212
12 202111
13 201910
14 20209
15 20218
16 20228
17 20217
18 20217
19 20226
20 20226

About Miye Wang

Miye Wang is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism, Family Practice, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 26 papers that have together received 396 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Diabetes Management and Education (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Blood Pressure and Hypertension Studies (3 papers), Chronic Disease Management Strategies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Heart Failure Treatment and Management (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (15 citations), Endocrinology, Diabetes and Metabolism (107 citations), Neurology (42 citations), Health Information Management (23 citations) and Geriatrics and Gerontology (17 citations). Miye Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Sheyu Li, Haoming Tian, Yiling Zhou, Nan Li, Ning Ning, Xuejun Zhuo, Rui Zhang, Qingyang Shi, Hanxue Zhang and Liang Du. Their work appears in journals such as Journal of Evidence-Based Medicine, BMC Medical Informatics and Decision Making, Frontiers in Pharmacology, Artificial Intelligence in Medicine and Frontiers in Psychiatry.

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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