Xiaobao Wu
Impact in
- General Social Sciences top 1%
- Computational and Text Analysis Methods
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 10
- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 4
-
- Multimodal Machine Learning Applications 7
- Human Pose and Action Recognition 3
- Co-authors
- Anh Tuan Luu (21 shared papers)Chunping Li (3 shared papers)Yishu Miao (2 shared papers)Yan Zhu (1 shared paper)Jie Yu (3 shared papers)Quan Gao (2 shared papers)Liu‐Zhu Gong (2 shared papers)Liangming Pan (5 shared papers)
- Journals
- Organic Letters (3 papers)Science China Chemistry (1 paper)Chemical Communications (1 paper)IEEE Transactions on Affective Computing (1 paper)Artificial Intelligence Review (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Xiaobao Wu
25 papers receiving 233 citations
Peers
Comparison fields: 5 of 58
- General Social Sciences 45
- Artificial Intelligence 120
- Health Informatics 3
- Organic Chemistry 55
- Information Systems 29
Countries citing papers authored by Xiaobao Wu
This map shows the geographic impact of Xiaobao Wu'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 Xiaobao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobao Wu more than expected).
Fields of papers citing papers by Xiaobao Wu
This network shows the impact of papers produced by Xiaobao Wu. 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 Xiaobao Wu. The network helps show where Xiaobao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobao Wu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 39 | |
| 2 | 2024 | 38 | |
| 3 | 2021 | 28 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2025 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2025 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Xiaobao Wu
Xiaobao Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Organic Chemistry and General Social Sciences, having authored 33 papers that have together received 239 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (6 papers), Computational and Text Analysis Methods (4 papers), Advanced Text Analysis Techniques (4 papers), Human Pose and Action Recognition (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Synthesis and Catalytic Reactions (3 papers). The work is most often cited by research in General Social Sciences (45 citations), Artificial Intelligence (120 citations), Health Informatics (3 citations), Organic Chemistry (55 citations) and Information Systems (29 citations). Xiaobao Wu has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Anh Tuan Luu, Chunping Li, Yishu Miao, Yan Zhu, Jie Yu, Quan Gao, Liu‐Zhu Gong, Liangming Pan, Haiqun Cao and Junjie Fan. Their work appears in journals such as Organic Letters, Science China Chemistry, Chemical Communications, IEEE Transactions on Affective Computing and Artificial Intelligence Review.
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.