Xiaosong Wang
- Health Informatics top 0.5%
- Sensory Systems top 0.5%
- Speech and Hearing top 0.5%
- Noise Effects and Management 8
- Cognitive Neuroscience top 1%
- Hearing Loss and Rehabilitation 12
- Signal Processing top 1%
- Speech and Audio Processing 10
-
- Radiomics and Machine Learning in Medical Imaging 12
- COVID-19 diagnosis using AI 5
-
- AI in cancer detection 11
-
- COVID-19 Clinical Research Studies 6
-
- Circular RNAs in diseases 5
- Co-authors
- Robert V. ShannonDeniz BaşkentLendra FriesenQian‐Jie FuRonald M. SummersDaguang XuZiyue XuLe Lü
- Journals
- The Journal of the Acoustical Society of America (5 papers)The Lancet Rheumatology (4 papers)Seminars in Arthritis and Rheumatism (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaosong Wang
97 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Health Informatics 172
- Sensory Systems 549
- Speech and Hearing 608
- Cognitive Neuroscience 1.4k
- Signal Processing 687
Countries citing papers authored by Xiaosong Wang
This map shows the geographic impact of Xiaosong 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 Xiaosong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosong Wang more than expected).
Fields of papers citing papers by Xiaosong Wang
This network shows the impact of papers produced by Xiaosong 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 Xiaosong Wang. The network helps show where Xiaosong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaosong 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 30 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 24 | |
| 12 | 2021 | 77 | |
| 13 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japanbreakdown → | 2021 | 176 |
| 14 | 2021 | 1 | |
| 15 | Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformationbreakdown → | 2020 | 288 |
| 16 | 2018 | 2 | |
| 17 | 2014 | 1 | |
| 18 | 2012 | 14 | |
| 19 | Development of dam-break flood | 2011 | 1 |
| 20 | Study surveys on tree image extraction in a complex background | 2010 | 1 |
About Xiaosong Wang
Xiaosong Wang is a scholar working on Speech and Hearing, Signal Processing and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 4.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Hearing Loss and Rehabilitation (12 papers), AI in cancer detection (11 papers), Speech and Audio Processing (10 papers), Noise Effects and Management (8 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 diagnosis using AI (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Health Informatics (172 citations), Sensory Systems (549 citations) and Speech and Hearing (608 citations). Xiaosong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Robert V. Shannon, Deniz Başkent, Lendra Friesen, Qian‐Jie Fu, Ronald M. Summers, Daguang Xu, Ziyue Xu, Le Lü, Ke Yan and H. Kenny. Their work appears in journals such as The Journal of the Acoustical Society of America, The Lancet Rheumatology, Seminars in Arthritis and Rheumatism, IEEE Transactions on Medical Imaging and Heliyon.
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.