Yong Ge
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Management Information Systems top 5%
- Co-authors
- Enhong ChenQi LiuHongke ZhaoRichang HongLe WuYi ZhengJunbo ZhaoYaofa Li
- Topics
- Recommender Systems and Techniques (21 papers)Image Retrieval and Classification Techniques (9 papers)FinTech, Crowdfunding, Digital Finance (7 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yong Ge
61 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 643
- Information Systems 541
- Computer Vision and Pattern Recognition 304
- Computer Networks and Communications 225
- Management Information Systems 188
Countries citing papers authored by Yong Ge
This map shows the geographic impact of Yong Ge'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 Yong Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Ge more than expected).
Fields of papers citing papers by Yong Ge
This network shows the impact of papers produced by Yong Ge. 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 Yong Ge. The network helps show where Yong Ge may publish in the future.
Co-authorship network of co-authors of Yong Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Ge. A scholar is included among the top collaborators of Yong Ge 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 Yong Ge. Yong Ge 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 | 1 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 25 | |
| 10 | 18 | |
| 11 | 39 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 81 | |
| 15 | Explainable Social Contextual Image Recommendation with Hierarchical Attention. | 1 |
| 16 | The impact of rating system design on opinion sharing | 1 |
| 17 | Maximizing the coverage of information propagation in social networks | 13 |
| 18 | 2 | |
| 19 | Measure and Mitigate the Dimensional Bias in Online Reviews and Ratings | 8 |
| 20 | 52 |
About Yong Ge
Yong Ge is a scholar working on Computational Mathematics, Information Systems and Transportation, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (21 papers), Image Retrieval and Classification Techniques (9 papers) and FinTech, Crowdfunding, Digital Finance (7 papers). The work is most often cited by research in Transportation (168 citations), Information Systems (541 citations) and Management Information Systems (188 citations). Yong Ge has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Enhong Chen, Qi Liu, Hongke Zhao, Richang Hong, Le Wu, Yi Zheng, Junbo Zhao, Yaofa Li, Hui Xiong and Qiang Huo. Their work appears in journals such as Scientific Reports, MIS Quarterly and International Journal of Radiation Oncology*Biology*Physics.
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.