Yutao Wang
About
In The Last Decade
Yutao Wang
45 papers receiving 536 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 158
- Artificial Intelligence 140
- Aerospace Engineering 124
- Electrical and Electronic Engineering 110
- Computer Vision and Pattern Recognition 95
Countries citing papers authored by Yutao Wang
This map shows the geographic impact of Yutao Wang'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 Yutao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutao Wang more than expected).
Fields of papers citing papers by Yutao Wang
This network shows the impact of papers produced by Yutao Wang. 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 Yutao Wang. The network helps show where Yutao Wang may publish in the future.
Co-authorship network of co-authors of Yutao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yutao Wang. A scholar is included among the top collaborators of Yutao Wang 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 Yutao Wang. Yutao Wang 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 | 0 | |
| 5 | 37 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. | 6 |
| 15 | Extending the Assistance Model: Analyzing the Use of Assistance over Time. | 7 |
| 16 | A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for a Hint | 10 |
| 17 | Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. | 1 |
| 18 | Incorporating Factors Influencing Knowledge Retention into a Student Model. | 6 |
| 19 | Leveraging First Response Time into the Knowledge Tracing Model. | 13 |
| 20 | Using Student Modeling to Estimate Student Knowledge Retention. | 13 |
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.