Yongli Ren
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Transportation top 5%
- Sociology and Political Science
- Co-authors
- Wanlei ZhouFlora D. SalimGang LiMahdi JaliliMark SandersonMartin TomkoJun ZhangSajad Ahmadian
- Topics
- Recommender Systems and Techniques (34 papers)Human Mobility and Location-Based Analysis (24 papers)Advanced Bandit Algorithms Research (12 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yongli Ren
72 papers receiving 810 citations
Peers
Comparison fields: 5 of 92
- Information Systems 391
- Artificial Intelligence 348
- Computer Vision and Pattern Recognition 208
- Transportation 147
- Sociology and Political Science 107
Countries citing papers authored by Yongli Ren
This map shows the geographic impact of Yongli Ren'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 Yongli Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongli Ren more than expected).
Fields of papers citing papers by Yongli Ren
This network shows the impact of papers produced by Yongli Ren. 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 Yongli Ren. The network helps show where Yongli Ren may publish in the future.
Co-authorship network of co-authors of Yongli Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Yongli Ren. A scholar is included among the top collaborators of Yongli Ren 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 Yongli Ren. Yongli Ren 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | Building a Benchmark for Task Progress in Digital Assistants | 2 |
| 13 | Understanding user behavior in job and talent search: an initial investigation | 10 |
| 14 | Full trajectory prediction: What will you do the rest of the day? | 2 |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | Clustering Interval-valued Data Using an Overlapped Interval Divergence | 7 |
About Yongli Ren
Yongli Ren is a scholar working on Transportation, Information Systems and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 834 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (34 papers), Human Mobility and Location-Based Analysis (24 papers) and Advanced Bandit Algorithms Research (12 papers). The work is most often cited by research in Transportation (147 citations), Information Systems (391 citations) and Artificial Intelligence (348 citations). Yongli Ren has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Wanlei Zhou, Flora D. Salim, Gang Li, Mahdi Jalili, Mark Sanderson, Martin Tomko, Jun Zhang, Sajad Ahmadian, Tianqing Zhu and Jeffrey Chan. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Information Sciences.
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.