Yujie Lu
- Information Systems top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Transportation top 10%
- Topics
- Topic Modeling (8 papers)Multimodal Machine Learning Applications (7 papers)Recommender Systems and Techniques (5 papers)
- Journals
- Proceedings of the ACM Web Conference 2022Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesProceedings of the 31st ACM International Conference on Information & Knowledge Management
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yujie Lu
14 papers receiving 317 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Information Systems 253
- Artificial Intelligence 235
- Computer Vision and Pattern Recognition 86
- Management Science and Operations Research 57
- Transportation 29
Countries citing papers authored by Yujie Lu
This map shows the geographic impact of Yujie Lu'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 Yujie Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujie Lu more than expected).
Fields of papers citing papers by Yujie Lu
This network shows the impact of papers produced by Yujie Lu. 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 Yujie Lu. The network helps show where Yujie Lu may publish in the future.
Co-authorship network of co-authors of Yujie Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Yujie Lu. A scholar is included among the top collaborators of Yujie Lu 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 Yujie Lu. Yujie Lu 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 | 4 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 31 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithmsbreakdown → | 220 |
| 16 | 19 | |
| 17 | 0 |
About Yujie Lu
Yujie Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Multimodal Machine Learning Applications (7 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Information Systems (253 citations), Artificial Intelligence (235 citations) and Management Science and Operations Research (57 citations). Yujie Lu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xingyu Pan, Yingqian Min, Shanlei Mu, Changxin Tian, Wendi Ji, Yaliang Li, Yushuo Chen, Xiaoling Wang, Kaiyuan Li and Hui Wang. Their work appears in journals such as Proceedings of the ACM Web Conference 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
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.