Xiaotao Gu
- Artificial Intelligence top 5%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Topics
- Topic Modeling (13 papers)Natural Language Processing Techniques (8 papers)Advanced Graph Neural Networks (6 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringSocial Network Analysis and MiningProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaotao Gu
18 papers receiving 365 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 349
- Information Systems 69
- Management Science and Operations Research 57
- Computer Vision and Pattern Recognition 54
- Molecular Biology 40
Countries citing papers authored by Xiaotao Gu
This map shows the geographic impact of Xiaotao Gu'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 Xiaotao Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotao Gu more than expected).
Fields of papers citing papers by Xiaotao Gu
This network shows the impact of papers produced by Xiaotao Gu. 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 Xiaotao Gu. The network helps show where Xiaotao Gu may publish in the future.
Co-authorship network of co-authors of Xiaotao Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotao Gu. A scholar is included among the top collaborators of Xiaotao Gu 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 Xiaotao Gu. Xiaotao Gu 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 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 35 | |
| 12 | 52 | |
| 13 | 132 | |
| 14 | 10 | |
| 15 | 29 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | 1 |
About Xiaotao Gu
Xiaotao Gu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Artificial Intelligence (349 citations), Management Science and Operations Research (57 citations) and Information Systems (69 citations). Xiaotao Gu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiang Ren, Jiawei Han, Liyuan Liu, Jingbo Shang, Yuning Mao, Yuxiao Dong, Hongkun Yu, Jie Tang, Yan Wang and Rui Li. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Social Network Analysis and Mining and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.