Jiangxia Cao
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 9
- Advanced Graph Neural Networks 7
- Natural Language Processing Techniques 2
- Text and Document Classification Technologies 2
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- Recommender Systems and Techniques 9
- Co-authors
- Tingwen Liu (6 shared papers)Bin Wang (4 shared papers)Xin Cong (4 shared papers)Xixun Lin (3 shared papers)Jiawei Sheng (4 shared papers)Luchen Liu (1 shared paper)Shu Guo (2 shared papers)Jing Ya (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (3 papers)
- Partner nations
- ChinaAustraliaCayman Islands
In The Last Decade
Jiangxia Cao
14 papers receiving 290 citations
Peers
Comparison fields: 5 of 29
- Information Systems 211
- Artificial Intelligence 238
- Management Science and Operations Research 44
- Computer Vision and Pattern Recognition 57
- Computer Networks and Communications 23
Countries citing papers authored by Jiangxia Cao
This map shows the geographic impact of Jiangxia Cao'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 Jiangxia Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangxia Cao more than expected).
Fields of papers citing papers by Jiangxia Cao
This network shows the impact of papers produced by Jiangxia Cao. 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 Jiangxia Cao. The network helps show where Jiangxia Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangxia Cao, 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 | 2021 | 75 | |
| 2 | 2022 | 60 | |
| 3 | 2022 | 57 | |
| 4 | 2022 | 24 | |
| 5 | 2023 | 24 | |
| 6 | 2024 | 22 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 |
About Jiangxia Cao
Jiangxia Cao is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Molecular Biology, having authored 15 papers that have together received 294 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Topic Modeling (9 papers), Advanced Graph Neural Networks (7 papers), Natural Language Processing Techniques (2 papers), Text and Document Classification Technologies (2 papers), Video Analysis and Summarization (2 papers), Data Quality and Management (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Information Systems (211 citations), Artificial Intelligence (238 citations), Management Science and Operations Research (44 citations), Computer Vision and Pattern Recognition (57 citations) and Computer Networks and Communications (23 citations). Jiangxia Cao has collaborated with scholars based in China, Australia and Cayman Islands. Frequent co-authors include Tingwen Liu, Bin Wang, Xin Cong, Xixun Lin, Jiawei Sheng, Luchen Liu, Shu Guo, Jing Ya, Xiaobo Guo and Bowen Yu. Their work appears in journals such as ACM Transactions on Information Systems, IEEE/ACM Transactions on Audio Speech and Language Processing, Proceedings of the 31st ACM International Conference on Information & Knowledge Management and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
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.