Xumeng Wang
Impact in
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- Data Visualization and Analytics
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Cryptography and Data Security
Papers in
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- Privacy-Preserving Technologies in Data 5
- Anomaly Detection Techniques and Applications 3
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- Data Visualization and Analytics 6
- Co-authors
- Wei Chen (11 shared papers)Xinhu Zheng (1 shared paper)Fei‐Yue Wang (2 shared papers)Kwan‐Liu Ma (3 shared papers)Jiazhi Xia (2 shared papers)Tobias Schreck (2 shared papers)Rongchen Zhu (1 shared paper)Zhen Wen (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (6 papers)Visual Informatics (2 papers)Scientific Reports (1 paper)Translational Oncology (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Xumeng Wang
17 papers receiving 261 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 115
- Transportation 22
- Computer Science Applications 13
- Automotive Engineering 24
Countries citing papers authored by Xumeng Wang
This map shows the geographic impact of Xumeng 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 Xumeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xumeng Wang more than expected).
Fields of papers citing papers by Xumeng Wang
This network shows the impact of papers produced by Xumeng 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 Xumeng Wang. The network helps show where Xumeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xumeng 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 | 2020 | 59 | |
| 2 | 2017 | 34 | |
| 3 | 2022 | 31 | |
| 4 | 2018 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 20 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Xumeng Wang
Xumeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics and Signal Processing, having authored 18 papers that have together received 269 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Privacy-Preserving Technologies in Data (5 papers), Complex Network Analysis Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Data Management and Algorithms (2 papers), Human-Automation Interaction and Safety (2 papers), Privacy, Security, and Data Protection (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (101 citations), Artificial Intelligence (115 citations), Transportation (22 citations), Computer Science Applications (13 citations) and Automotive Engineering (24 citations). Xumeng Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Wei Chen, Xinhu Zheng, Fei‐Yue Wang, Kwan‐Liu Ma, Jiazhi Xia, Tobias Schreck, Rongchen Zhu, Zhen Wen, Wenlong Chen and Chris Bryan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Visual Informatics, Scientific Reports, Translational Oncology and Frontiers in Endocrinology.
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.