Xiaoxue Zang
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Human-Computer Interaction
- Co-authors
- Abhinav RastogiJindong ChenYang SongJun XuXiao ZhangLijuan LiuRuby LeeZecheng He
- Topics
- Recommender Systems and Techniques (10 papers)Topic Modeling (9 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- ACM Transactions on Information SystemsarXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoxue Zang
19 papers receiving 214 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 152
- Information Systems 67
- Computer Vision and Pattern Recognition 54
- Management Science and Operations Research 13
- Human-Computer Interaction 12
Countries citing papers authored by Xiaoxue Zang
This map shows the geographic impact of Xiaoxue Zang'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 Xiaoxue Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxue Zang more than expected).
Fields of papers citing papers by Xiaoxue Zang
This network shows the impact of papers produced by Xiaoxue Zang. 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 Xiaoxue Zang. The network helps show where Xiaoxue Zang may publish in the future.
Co-authorship network of co-authors of Xiaoxue Zang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxue Zang. A scholar is included among the top collaborators of Xiaoxue Zang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoxue Zang. Xiaoxue Zang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 12 | |
| 17 | 101 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 2 |
About Xiaoxue Zang
Xiaoxue Zang is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 23 papers that have together received 223 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (152 citations), Information Systems (67 citations) and Computer Vision and Pattern Recognition (54 citations). Xiaoxue Zang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Abhinav Rastogi, Jindong Chen, Jindong Chen, Yang Song, Jun Xu, Xiao Zhang, Lijuan Liu, Ruby Lee, Zecheng He and Ying Xu. Their work appears in journals such as ACM Transactions on Information Systems, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.