Xiaofei Wang
- Microbiology top 5%
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- Lung Cancer Treatments and Mutations 34
- Lung Cancer Diagnosis and Treatment 33
- Oncology top 5%
- Lung Cancer Research Studies 16
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials 23
- Statistical Methods and Inference 12
- Advanced Causal Inference Techniques 11
- Otorhinolaryngology top 5%
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- Radiomics and Machine Learning in Medical Imaging 10
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- Health Systems, Economic Evaluations, Quality of Life 9
- Co-authors
- Lin GuMark F. BerryEverett E. VokesPaul J. SpeicherThomas E. StinchcombeDavid H. HarpoleThomas A. D’AmicoHerbert Pang
- Journals
- Journal of Thoracic Oncology (10 papers)Lung Cancer (7 papers)Journal of Clinical Oncology (7 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Xiaofei Wang
90 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Microbiology 29
- Pulmonary and Respiratory Medicine 1.3k
- Oncology 866
- Statistics and Probability 175
- Otorhinolaryngology 66
Countries citing papers authored by Xiaofei Wang
This map shows the geographic impact of Xiaofei 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 Xiaofei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Wang more than expected).
Fields of papers citing papers by Xiaofei Wang
This network shows the impact of papers produced by Xiaofei 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 Xiaofei Wang. The network helps show where Xiaofei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaofei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 25 | |
| 14 | 2018 | 14 | |
| 15 | 2017 | 3 | |
| 16 | 2016 | 26 | |
| 17 | 2015 | 34 | |
| 18 | NONLINEAR BOUNDARY VALUE PROBLEMS WITH p-LAPLACIAN | 2011 | 1 |
| 19 | 2009 | 11 | |
| 20 | 2008 | 10 |
About Xiaofei Wang
Xiaofei Wang is a scholar working on Computational Mathematics, Statistics and Probability, Pulmonary and Respiratory Medicine, Microbiology and Oncology, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (34 papers), Lung Cancer Diagnosis and Treatment (33 papers), Statistical Methods in Clinical Trials (23 papers), Lung Cancer Research Studies (16 papers), Statistical Methods and Inference (12 papers), Advanced Causal Inference Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). The work is most often cited by research in Microbiology (29 citations), Pulmonary and Respiratory Medicine (1.3k citations), Oncology (866 citations), Statistics and Probability (175 citations) and Otorhinolaryngology (66 citations). Xiaofei Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Lin Gu, Mark F. Berry, Everett E. Vokes, Paul J. Speicher, Thomas E. Stinchcombe, David H. Harpole, Thomas A. D’Amico, Herbert Pang, Matthew G. Hartwig and Kit‐man Cheng. Their work appears in journals such as Journal of Thoracic Oncology, Lung Cancer, Journal of Clinical Oncology, Journal of Thoracic and Cardiovascular Surgery and Journal of Biopharmaceutical Statistics.
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.