Huanmei Wu

2.0k citations
100 papers · 1.3k indexed · 1 hit paper · h-index 17

Huanmei Wu

96 papers receiving 1.2k citations

Hit Papers

Digital twins for health: a scoping review22020242026202550100150200

Peers

Huanmei Wu
Comparison fields: 5 of 156
  • Health Informatics 53
  • Radiation 320
  • Biological Psychiatry 37
  • Radiology, Nuclear Medicine and Imaging 294
  • Signal Processing 112
Replace William Hsu with:
William Hsu United States
Ning Liu China
Michael Binder Austria
Chung‐Ming Chen Taiwan
Matthew T. Freedman United States
Wei Fan China
João Santos Portugal
Joseph Y. Lo United States
Kwan Hoong Ng Malaysia
Adrien Depeursinge Switzerland
Huanmei Wu relative to William Hsu United States William Hsu's profile →
Citations per field
00.5×10×15×18.5×
William Hsu · 1×
Citations per year

Countries citing papers authored by Huanmei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huanmei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20242
4 20243
5
Digital twins for health: a scoping reviewbreakdown →
2024220
6 20231
7 202215
8 20221
9 20221
10 202223
11 20205
12 201919
13
Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems
20191
14 20191
15 20183
16
IDO Immune Status after Chemoradiation May Predict Survival in Lung Cancer Patients
20181
17 201754
18 20178
19
Healthcare Data Analytics for Parkinson's Disease Patients: A Study of Hospital Cost and Utilization in the United States.
20163
20 20082

About Huanmei Wu

Huanmei Wu is a scholar working on Radiation, Health Information Management and Health Informatics, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (13 papers), Medical Imaging Techniques and Applications (10 papers), Lung Cancer Diagnosis and Treatment (10 papers), Electronic Health Records Systems (7 papers), Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers) and Healthcare Operations and Scheduling Optimization (4 papers). The work is most often cited by research in Health Informatics (53 citations), Radiation (320 citations) and Biological Psychiatry (37 citations). Huanmei Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Betty Salzberg, Hiroki Shirato, Steve Jiang, Donghui Zhang, G Sharp, David Kaeli, Qi Wang, Jun Deng, Xiaoyuan Zhang and Luke E. K. Achenie. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

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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