Shitian Shen

492 total citations
10 papers, 304 citations indexed

About

Shitian Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Shitian Shen has authored 10 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Science Applications. Recurrent topics in Shitian Shen's work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (3 papers) and Advanced Text Analysis Techniques (2 papers). Shitian Shen is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (3 papers) and Advanced Text Analysis Techniques (2 papers). Shitian Shen collaborates with scholars based in United States and China. Shitian Shen's 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 and has published in prestigious journals such as Wiley Interdisciplinary Reviews Computational Statistics, Educational Data Mining and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Shitian Shen

10 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shitian Shen United States	7	222	115	110	45	32	10	304
Xiaolin Jia China	9	202 0.9×	159 1.4×	62 0.6×	13 0.3×	19 0.6×	35	355
Suseela T. Sarasamma United States	3	166 0.7×	21 0.2×	149 1.4×	58 1.3×	58 1.8×	5	284
Dan Vilenchik Israel	9	74 0.3×	25 0.2×	56 0.5×	10 0.2×	31 1.0×	46	250
Zhen Lin China	8	89 0.4×	139 1.2×	46 0.4×	15 0.3×	5 0.2×	13	288
Hendrik Molter Germany	9	37 0.2×	65 0.6×	114 1.0×	21 0.5×	23 0.7×	42	222
Hanwen Liu China	7	159 0.7×	37 0.3×	80 0.7×	15 0.3×	17 0.5×	25	302
Camelia Lemnaru Romania	8	139 0.6×	17 0.1×	78 0.7×	7 0.2×	36 1.1×	48	222
Jo Devriendt Belgium	5	181 0.8×	21 0.2×	46 0.4×	10 0.2×	19 0.6×	10	300
Joachim Jansen Belgium	5	172 0.8×	21 0.2×	45 0.4×	10 0.2×	23 0.7×	8	299
Fangli Xu China	10	311 1.4×	32 0.3×	30 0.3×	22 0.5×	25 0.8×	17	401

Countries citing papers authored by Shitian Shen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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10 of 10 papers shown

1.

Zhao, Ziwei, et al.. (2024). When Box Meets Graph Neural Network in Tag-aware Recommendation. 1770–1780. 3 indexed citations

2.

Zhang, Li, et al.. (2021). Jointly Multi-Similarity Loss for Deep Metric Learning. 1469–1474. 2 indexed citations

3.

Shen, Shitian, et al.. (2019). Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions.. 69–78. 1 indexed citations

4.

Shen, Shitian, et al.. (2018). Improving Learning & Reducing Time. 43–51. 10 indexed citations

5.

Shen, Shitian, et al.. (2018). Exploring Induced Pedagogical Strategies Through a Markov Decision Process Framework: Lessons Learned. Zenodo (CERN European Organization for Nuclear Research). 10(3). 27–68. 10 indexed citations

6.

Shen, Shitian & Min Chi. (2017). Clustering Student Sequential Trajectories Using Dynamic Time Wrapping.. Educational Data Mining. 7 indexed citations

7.

Shen, Shitian & Min Chi. (2016). Aim Low: Correlation-Based Feature Selection for Model-Based Reinforcement Learning.. Educational Data Mining. 507–512. 10 indexed citations

8.

Chen, Lin, Shitian Shen, & Min Chi. (2016). Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling. 157–161. 12 indexed citations

9.

Shen, Shitian & Min Chi. (2016). Reinforcement Learning. 37–44. 24 indexed citations

10.

Ranshous, Stephen, Shitian Shen, Danai Koutra, et al.. (2015). Anomaly detection in dynamic networks: a survey. Wiley Interdisciplinary Reviews Computational Statistics. 7(3). 223–247. 225 indexed citations

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.

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