Haijun Wu
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
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- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
Papers in
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- Head and Neck Cancer Studies 9
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 2
- Co-authors
- Jingjing Miao (6 shared papers)Chong Zhao (6 shared papers)Xiaoyu Huang (2 shared papers)Lei Shi (2 shared papers)Xiuhui Li (2 shared papers)Lin Wang (4 shared papers)Xiaowu Deng (3 shared papers)Wuguo Deng (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Oral Oncology (2 papers)European Journal of Radiology (1 paper)Scientific Reports (1 paper)Cancer Imaging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Haijun Wu
15 papers receiving 299 citations
Peers
Comparison fields: 5 of 47
- Otorhinolaryngology 101
- Oncology 141
- Orthopedics and Sports Medicine 29
- Radiology, Nuclear Medicine and Imaging 70
- Rheumatology 41
Countries citing papers authored by Haijun Wu
This map shows the geographic impact of Haijun 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 Haijun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Wu more than expected).
Fields of papers citing papers by Haijun Wu
This network shows the impact of papers produced by Haijun 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 Haijun Wu. The network helps show where Haijun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Wu, 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 | 2018 | 73 | |
| 2 | 2017 | 59 | |
| 3 | 2017 | 55 | |
| 4 | 2017 | 37 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2018 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2011 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 |
About Haijun Wu
Haijun Wu is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 300 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Research Studies (4 papers), Head and Neck Surgical Oncology (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Advanced Radiotherapy Techniques (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Otorhinolaryngology (101 citations), Oncology (141 citations), Orthopedics and Sports Medicine (29 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Rheumatology (41 citations). Haijun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Jingjing Miao, Chong Zhao, Xiaoyu Huang, Lei Shi, Xiuhui Li, Lin Wang, Xiaowu Deng, Wuguo Deng, Dingbo Shi and Desheng Hu. Their work appears in journals such as Frontiers in Oncology, Oral Oncology, European Journal of Radiology, Scientific Reports and Cancer Imaging.
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.