Huanmei Wu

2.0k total citations · 1 hit paper
100 papers, 1.3k citations indexed

About

Huanmei Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Molecular Biology. According to data from OpenAlex, Huanmei Wu has authored 100 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 23 papers in Radiation and 18 papers in Molecular Biology. Recurrent topics in Huanmei Wu's work include Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (13 papers) and Medical Imaging Techniques and Applications (10 papers). Huanmei Wu is often cited by papers focused on Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (13 papers) and Medical Imaging Techniques and Applications (10 papers). Huanmei Wu collaborates with scholars based in United States, China and Japan. Huanmei Wu's co-authors include Betty Salzberg, Hiroki Shirato, Steve Jiang, Donghui Zhang, G Sharp, David Kaeli, Xianbo Wang, R. Fletcher, Qi Wang and Xiaoyuan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Huanmei Wu

96 papers receiving 1.2k citations

Hit Papers

Digital twins for health: a scoping review 2024 2026 2025 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huanmei Wu United States 17 320 294 281 154 144 100 1.3k
Shifeng Chen China 18 186 0.6× 227 0.8× 262 0.9× 118 0.8× 243 1.7× 73 1.1k
Tsair-Fwu Lee Taiwan 20 292 0.9× 266 0.9× 419 1.5× 74 0.5× 51 0.4× 112 1.2k
João Santos Portugal 17 90 0.3× 295 1.0× 95 0.3× 394 2.6× 100 0.7× 75 1.1k
Belal Ahmad Canada 18 267 0.8× 251 0.9× 415 1.5× 210 1.4× 75 0.5× 46 1.1k
Wei Fan China 23 80 0.3× 687 2.3× 378 1.3× 130 0.8× 259 1.8× 159 1.7k
Ning Liu China 20 92 0.3× 71 0.2× 387 1.4× 502 3.3× 133 0.9× 124 1.9k
William Hsu United States 24 59 0.2× 794 2.7× 714 2.5× 561 3.6× 260 1.8× 188 2.5k
Kwan Hoong Ng Malaysia 27 229 0.7× 1.2k 3.9× 390 1.4× 451 2.9× 83 0.6× 137 2.2k
Lin Ma United States 19 55 0.2× 268 0.9× 644 2.3× 698 4.5× 152 1.1× 63 1.6k
Toru Kobayashi Japan 14 163 0.5× 377 1.3× 166 0.6× 26 0.2× 35 0.2× 123 897

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 of co-authors of Huanmei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huanmei Wu. A scholar is included among the top collaborators of Huanmei Wu 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 Huanmei Wu. Huanmei Wu 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.
Wu, Xizhi, Song Wang, Xingyu Zhao, et al.. (2025). SDoH-GPT: using large language models to extract social determinants of health. Journal of the American Medical Informatics Association. 33(1). 67–78. 1 indexed citations
2.
Chen, Qizhen, et al.. (2024). Correlation of Glycolysis-immune-related Genes in the Follicular Microenvironment of Endometriosis Patients with ART Outcomes. Reproductive Sciences. 31(11). 3357–3367. 2 indexed citations
3.
Katsoulakis, Evangelia, Qi Wang, Huanmei Wu, et al.. (2024). Digital twins for health: a scoping review. npj Digital Medicine. 7(1). 77–77. 220 indexed citations breakdown →
4.
Patel, Jay S. & Huanmei Wu. (2024). Utilizing Electronic Dental Records to Predict Neuro-Degenerative Diseases in a Dental Setting: A Pilot Study. Studies in health technology and informatics. 310. 1322–1326. 3 indexed citations
5.
Huang, Xin, et al.. (2024). The Inflammatory State of Follicular Fluid Combined with Negative Emotion Indicators can Predict Pregnancy Outcomes in Patients with PCOS. Reproductive Sciences. 31(8). 2493–2507. 2 indexed citations
6.
7.
Wu, Xue, et al.. (2022). DSCN: Double-target selection guided by CRISPR screening and network. PLoS Computational Biology. 18(8). e1009421–e1009421. 1 indexed citations
8.
Siminoff, Laura A., et al.. (2022). Developing and Delivering a Comprehensive Vaccine COVID-19 Program: RapidVax. 3(1). 1–12. 1 indexed citations
9.
Li, Jin, Xue Wu, Shijun Zhang, et al.. (2022). Subpathway Analysis of Transcriptome Profiles Reveals New Molecular Mechanisms of Acquired Chemotherapy Resistance in Breast Cancer. Cancers. 14(19). 4878–4878. 15 indexed citations
10.
Zhang, Xiaoyuan, Chaoshun Li, Xianbo Wang, & Huanmei Wu. (2020). A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM. Measurement. 173. 108644–108644. 69 indexed citations
11.
Yu, Hao, Huanmei Wu, Weili Wang, et al.. (2019). Machine Learning to Build and Validate a Model for Radiation Pneumonitis Prediction in Patients with Non–Small Cell Lung Cancer. Clinical Cancer Research. 25(14). 4343–4350. 19 indexed citations
12.
Wilson, Jeffrey S., et al.. (2019). Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems. Online Journal of Public Health Informatics. 11(2). e8–e8. 1 indexed citations
13.
Wilson, Jeffrey S., et al.. (2019). Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems. PMC. 1 indexed citations
14.
Wang, Weili, Lei Huang, Jian‐Yue Jin, et al.. (2018). IDO Immune Status after Chemoradiation May Predict Survival in Lung Cancer Patients. PMC. 1 indexed citations
15.
Wu, Huanmei, et al.. (2018). Large-Scale Data Mining to Optimize Patient-Centered Scheduling at Health Centers. PubMed. 3(1). 1–18. 3 indexed citations
16.
Liu, Jiannan, Chenyang Li, Jing Xu, & Huanmei Wu. (2018). A patient-oriented clinical decision support system for CRC risk assessment and preventative care. BMC Medical Informatics and Decision Making. 18(S5). 118–118. 15 indexed citations
17.
Wang, Weili, Lei Huang, Jian‐Yue Jin, et al.. (2017). IDO Immune Status after Chemoradiation May Predict Survival in Lung Cancer Patients. Cancer Research. 78(3). 809–816. 54 indexed citations
18.
Wu, Huanmei, et al.. (2016). Healthcare Data Analytics for Parkinson's Disease Patients: A Study of Hospital Cost and Utilization in the United States.. PubMed. 2016. 1950–1958. 3 indexed citations
19.
Meng, Zhefeng, Ruolei Xin, Jun Sun, et al.. (2012). Five New CRF07_BC Near Full-Length Sequences Isolated from Sichuan, China. AIDS Research and Human Retroviruses. 29(1). 191–197. 5 indexed citations
20.
Wu, Huanmei, et al.. (2008). Hysteresis Analysis of Lung Tumor Motion in Radiation Treatment. International Journal of Radiation Oncology*Biology*Physics. 72(1). S443–S444. 2 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.

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