Guihong Cao
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Jian‐Yun NieJing BaiJianfeng GaoStephen RobertsonGuangyuan WuDuyu TangNan DuanDaxin Jiang
- Topics
- Topic Modeling (24 papers)Natural Language Processing Techniques (17 papers)Information Retrieval and Search Behavior (9 papers)
- Journals
- ACM Transactions on Asian Language Information Processing2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Meeting of the Association for Computational Linguistics
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Guihong Cao
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 1.2k
- Information Systems 641
- Computer Vision and Pattern Recognition 286
- Signal Processing 132
- Management Science and Operations Research 77
Countries citing papers authored by Guihong Cao
This map shows the geographic impact of Guihong 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 Guihong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guihong Cao more than expected).
Fields of papers citing papers by Guihong Cao
This network shows the impact of papers produced by Guihong 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 Guihong Cao. The network helps show where Guihong Cao may publish in the future.
Co-authorship network of co-authors of Guihong Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Guihong Cao. A scholar is included among the top collaborators of Guihong Cao 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 Guihong Cao. Guihong Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | K-Adapter: Infusing Knowledge into Pre-Trained Models with Adaptersbreakdown → | 218 |
| 3 | 7 | |
| 4 | 40 | |
| 5 | 6 | |
| 6 | NTCIR-7 Patent Mining Experiments at RALI | 4 |
| 7 | RALI experiments in IR4QA at NTCIR-7 | 1 |
| 8 | Selecting Query Term Alternations for Web Search by Exploiting Query Contexts | 5 |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 53 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 158 | |
| 17 | 3 | |
| 18 | 29 | |
| 19 | TREC-10 Web Track Experiments at MSRA. | 16 |
| 20 | 11 |
About Guihong Cao
Guihong Cao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Information Retrieval and Search Behavior (9 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (641 citations) and Computer Vision and Pattern Recognition (286 citations). Guihong Cao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jian‐Yun Nie, Jing Bai, Jianfeng Gao, Jianfeng Gao, Stephen Robertson, Guangyuan Wu, Duyu Tang, Nan Duan, Daxin Jiang and Jianshu Ji. Their work appears in journals such as ACM Transactions on Asian Language Information Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Meeting of the Association for Computational Linguistics.
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.