Shitian Shen
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Computer Science Applications top 10%
- Signal Processing
- Co-authors
- Steve HarenbergChristos FaloutsosNagiza F. SamatovaDanai KoutraStephen RanshousMin ChiLin ChenTiffany Barnes
- Topics
- Intelligent Tutoring Systems and Adaptive Learning (5 papers)Online Learning and Analytics (3 papers)Advanced Text Analysis Techniques (2 papers)
- Journals
- Wiley Interdisciplinary Reviews Computational StatisticsEducational Data MiningZenodo (CERN European Organization for Nuclear Research)
- Partner nations
- United StatesChina
In The Last Decade
Shitian Shen
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 222
- Statistical and Nonlinear Physics 115
- Computer Networks and Communications 110
- Computer Science Applications 45
- Signal Processing 32
Countries citing papers authored by Shitian Shen
This map shows the geographic impact of Shitian Shen'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 Shitian Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shitian Shen more than expected).
Fields of papers citing papers by Shitian Shen
This network shows the impact of papers produced by Shitian Shen. 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 Shitian Shen. The network helps show where Shitian Shen may publish in the future.
Co-authorship network of co-authors of Shitian Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Shitian Shen. A scholar is included among the top collaborators of Shitian Shen 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 Shitian Shen. Shitian Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. | 1 |
| 4 | 10 | |
| 5 | 10 | |
| 6 | Clustering Student Sequential Trajectories Using Dynamic Time Wrapping. | 7 |
| 7 | Aim Low: Correlation-Based Feature Selection for Model-Based Reinforcement Learning. | 10 |
| 8 | 12 | |
| 9 | 24 | |
| 10 | 225 |
About Shitian Shen
Shitian Shen is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 304 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (115 citations), Computational Mathematics (5 citations) and Computer Science Applications (45 citations). Shitian Shen has collaborated with scholars based in United States and China. Frequent co-authors include Steve Harenberg, Christos Faloutsos, Nagiza F. Samatova, Danai Koutra, Stephen Ranshous, Min Chi, Lin Chen, Tiffany Barnes, Enhong Chen and Jun Lang. Their work appears in journals such as Wiley Interdisciplinary Reviews Computational Statistics, Educational Data Mining and Zenodo (CERN European Organization for Nuclear Research).
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.