Keqin Bao
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Computer Networks and Communications
- Co-authors
- Fuli FengJizhi ZhangYang ZhangXiangnan HeWenjie WangQifan WangBo ZhengChong Chen
- Topics
- Recommender Systems and Techniques (12 papers)Topic Modeling (11 papers)Advanced Graph Neural Networks (4 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Keqin Bao
13 papers receiving 301 citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 242
- Information Systems 224
- Computer Vision and Pattern Recognition 48
- Management Science and Operations Research 22
- Computer Networks and Communications 10
Countries citing papers authored by Keqin Bao
This map shows the geographic impact of Keqin Bao'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 Keqin Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keqin Bao more than expected).
Fields of papers citing papers by Keqin Bao
This network shows the impact of papers produced by Keqin Bao. 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 Keqin Bao. The network helps show where Keqin Bao may publish in the future.
Co-authorship network of co-authors of Keqin Bao
This figure shows the co-authorship network connecting the top 25 collaborators of Keqin Bao. A scholar is included among the top collaborators of Keqin Bao 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 Keqin Bao. Keqin Bao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendationbreakdown → | 21 |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 70 | |
| 14 | TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendationbreakdown → | 155 |
| 15 | 15 | |
| 16 | 1 | |
| 17 | 1 |
About Keqin Bao
Keqin Bao is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 17 papers that have together received 304 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Topic Modeling (11 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Information Systems (224 citations), Artificial Intelligence (242 citations) and Health Informatics (5 citations). Keqin Bao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Fuli Feng, Jizhi Zhang, Yang Zhang, Xiangnan He, Wenjie Wang, Qifan Wang, Bo Zheng, Chong Chen, Ming Yan and Xinyu Lin. Their work appears in journals such as Communications of the ACM and IEEE Transactions on Knowledge and Data Engineering.
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.