Xiaohan Wang
Impact in
-
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Multimodal Machine Learning Applications 1
- Digital Imaging for Blood Diseases 1
- Robotic Path Planning Algorithms 1
- Co-authors
- Yuanjun Laili (1 shared paper)Fei Wang (1 shared paper)Wentong Cai (1 shared paper)Lin Zhang (1 shared paper)Huijuan Wang (1 shared paper)Yalin Cheng (1 shared paper)Shui-Wang He (1 shared paper)Zhongzheng Chen (1 shared paper)
- Journals
- Animals (1 paper)Journal of Manufacturing Systems (1 paper)Computational and Mathematical Methods in Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaohan Wang
4 papers receiving 27 citations
Xiaohan Wang's Hit Papers
Peers
Comparison fields: 5 of 26
- Health Informatics 2
- Business and International Management 1
- Industrial and Manufacturing Engineering 4
- Energy Engineering and Power Technology 1
- Health Information Management 1
Countries citing papers authored by Xiaohan Wang
This map shows the geographic impact of Xiaohan 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 Xiaohan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Wang more than expected).
Fields of papers citing papers by Xiaohan Wang
This network shows the impact of papers produced by Xiaohan 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 Xiaohan Wang. The network helps show where Xiaohan Wang may publish in the future.
Co-authors
The 21 scholars most cited alongside Xiaohan 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 | Multi-workflow dynamic scheduling in product design: A generalizable approach based on meta-reinforcement learning Hit paper breakdown → | 2025 | 23 |
| 2 | 2025 | 3 | |
| 3 | 2022 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2025 | 0 |
About Xiaohan Wang
Xiaohan Wang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Paleontology, Control and Systems Engineering and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 29 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (1 paper), MRI in cancer diagnosis (1 paper), Renal and Vascular Pathologies (1 paper), Digital Imaging for Blood Diseases (1 paper), Vehicle License Plate Recognition (1 paper), Geographic Information Systems Studies (1 paper), Digital Transformation in Industry (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Health Informatics (2 citations), Business and International Management (1 citation), Industrial and Manufacturing Engineering (4 citations), Energy Engineering and Power Technology (1 citation) and Health Information Management (1 citation). Xiaohan Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yuanjun Laili, Fei Wang, Wentong Cai, Lin Zhang, Huijuan Wang, Yalin Cheng, Shui-Wang He, Zhongzheng Chen, Serena Yeung-Levy and Alejandro Lozano. Their work appears in journals such as Animals, Journal of Manufacturing Systems and Computational and Mathematical Methods in Medicine.
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.