Xiaobo Xia
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
- Sustainable Building Design and Assessment
- Environmental Engineering top 10%
- Urban Heat Island Mitigation
- Wind and Air Flow Studies
Papers in
-
- Machine Learning and Data Classification 7
- Anomaly Detection Techniques and Applications 3
- Text and Document Classification Technologies 2
- Imbalanced Data Classification Techniques 1
-
- Face and Expression Recognition 2
- Co-authors
- Shuo Chen (2 shared papers)Guomin Zhang (2 shared papers)Long Shi (2 shared papers)Sujeeva Setunge (2 shared papers)Yixing Chen (1 shared paper)Tongliang Liu (10 shared papers)Nannan Wang (2 shared papers)Xinrui Jiang (1 shared paper)
In The Last Decade
Xiaobo Xia
13 papers receiving 413 citations
Peers
Comparison fields: 5 of 72
- Building and Construction 246
- Environmental Engineering 93
- Speech and Hearing 32
- Computer Vision and Pattern Recognition 71
- Renewable Energy, Sustainability and the Environment 53
Countries citing papers authored by Xiaobo Xia
This map shows the geographic impact of Xiaobo Xia'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 Xiaobo Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Xia more than expected).
Fields of papers citing papers by Xiaobo Xia
This network shows the impact of papers produced by Xiaobo Xia. 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 Xiaobo Xia. The network helps show where Xiaobo Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobo Xia, 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 | 141 | |
| 2 | 2021 | 140 | |
| 3 | 2021 | 51 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2026 | 0 |
About Xiaobo Xia
Xiaobo Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Building and Construction, Civil and Structural Engineering and Signal Processing, having authored 17 papers that have together received 423 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Anomaly Detection Techniques and Applications (3 papers), Sustainable Building Design and Assessment (2 papers), Music and Audio Processing (2 papers), Face and Expression Recognition (2 papers), Building Energy and Comfort Optimization (2 papers), Text and Document Classification Technologies (2 papers) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Building and Construction (246 citations), Environmental Engineering (93 citations), Speech and Hearing (32 citations), Computer Vision and Pattern Recognition (71 citations) and Renewable Energy, Sustainability and the Environment (53 citations). Xiaobo Xia has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Shuo Chen, Guomin Zhang, Long Shi, Sujeeva Setunge, Yixing Chen, Tongliang Liu, Nannan Wang, Xinrui Jiang, Xi Yang and Jingwei Xin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, Energy and Buildings, Sustainable Energy Technologies and Assessments and Neural Networks.
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.