Haoru Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Neuroblastoma Research and Treatments
Papers in
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- Radiomics and Machine Learning in Medical Imaging 24
- Neurology 10
- Neuroblastoma Research and Treatments 10
- Co-authors
- Ling He (30 shared papers)Hao Ding (15 shared papers)Li Zhang (11 shared papers)Liu Jl (1 shared paper)Shashwati Kala (2 shared papers)Lei Sun (2 shared papers)Lijuan Zhang (1 shared paper)Xuandi Hou (2 shared papers)
- Journals
- Abdominal Radiology (7 papers)Academic Radiology (3 papers)Frontiers in Pediatrics (2 papers)Cell Reports (2 papers)Translational Pediatrics (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Haoru Wang
40 papers receiving 330 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 102
- Neurology 46
- Health Informatics 7
- Biomedical Engineering 84
- Sensory Systems 9
Countries citing papers authored by Haoru Wang
This map shows the geographic impact of Haoru 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 Haoru Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoru Wang more than expected).
Fields of papers citing papers by Haoru Wang
This network shows the impact of papers produced by Haoru 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 Haoru Wang. The network helps show where Haoru Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haoru 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2021 | 42 | |
| 3 | Association between HLA-B*27 polymorphisms and ankylosing spondylitis in Han populations: a meta-analysis. | 2011 | 38 |
| 4 | 2021 | 15 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Haoru Wang
Haoru Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Biomaterials, Biomedical Engineering and Rheumatology, having authored 48 papers that have together received 335 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Neuroblastoma Research and Treatments (10 papers), Ultrasound and Hyperthermia Applications (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Lung Cancer Treatments and Mutations (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (102 citations), Neurology (46 citations), Health Informatics (7 citations), Biomedical Engineering (84 citations) and Sensory Systems (9 citations). Haoru Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ling He, Hao Ding, Li Zhang, Liu Jl, Shashwati Kala, Lei Sun, Lijuan Zhang, Xuandi Hou, Zhihai Qiu and Quanxiang Xian. Their work appears in journals such as Abdominal Radiology, Academic Radiology, Frontiers in Pediatrics, Cell Reports and Translational Pediatrics.
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.