Shihfen Tu

413 total citations
23 papers, 291 citations indexed

About

Shihfen Tu is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shihfen Tu has authored 23 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental and Educational Psychology, 5 papers in Statistics and Probability and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shihfen Tu's work include Innovative Teaching and Learning Methods (3 papers), Advanced Causal Inference Techniques (3 papers) and Neonatal and fetal brain pathology (2 papers). Shihfen Tu is often cited by papers focused on Innovative Teaching and Learning Methods (3 papers), Advanced Causal Inference Techniques (3 papers) and Neonatal and fetal brain pathology (2 papers). Shihfen Tu collaborates with scholars based in United States, Hong Kong and China. Shihfen Tu's co-authors include Craig A. Mason, Chanequa Walker-Barnes, Gary L. Schilmoeller, Kathryn J. Schilmoeller, Stephen A. Butterfield, Robert A. Lehnhard, Ana Mari Cauce, Derek A. Chapman, Keith G. Scott and Marcia S. Scott and has published in prestigious journals such as The Journal of Strength and Conditioning Research, Educational and Psychological Measurement and Journal of Clinical Child & Adolescent Psychology.

In The Last Decade

Shihfen Tu

23 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shihfen Tu United States 8 87 66 55 36 34 23 291
Gavin Colquitt United States 9 54 0.6× 43 0.7× 50 0.9× 72 2.0× 19 0.6× 30 295
Kathryn Woods United States 10 138 1.6× 26 0.4× 121 2.2× 35 1.0× 12 0.4× 26 287
Margarita Gozalo Delgado Spain 9 40 0.5× 28 0.4× 96 1.7× 80 2.2× 6 0.2× 43 293
Anika Rouf Australia 8 40 0.5× 38 0.6× 25 0.5× 16 0.4× 8 0.2× 11 258
Fraser D. Bocell United States 11 74 0.9× 41 0.6× 134 2.4× 62 1.7× 3 0.1× 21 429
So Hyun Park United States 10 34 0.4× 22 0.3× 25 0.5× 46 1.3× 16 0.5× 25 264
Sabrina M. Richardson United States 5 74 0.9× 12 0.2× 16 0.3× 36 1.0× 9 0.3× 13 293
Kathleen Stanford United States 2 146 1.7× 26 0.4× 38 0.7× 37 1.0× 5 0.1× 3 297
Melodie Fearnow‐Kenney United States 11 48 0.6× 24 0.4× 27 0.5× 22 0.6× 4 0.1× 18 282
Hanna‐Reetta Lajunen Finland 6 42 0.5× 50 0.8× 30 0.5× 15 0.4× 4 0.1× 8 263

Countries citing papers authored by Shihfen Tu

Since Specialization
Citations

This map shows the geographic impact of Shihfen Tu'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 Shihfen Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihfen Tu more than expected).

Fields of papers citing papers by Shihfen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shihfen Tu. 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 Shihfen Tu. The network helps show where Shihfen Tu may publish in the future.

Co-authorship network of co-authors of Shihfen Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Shihfen Tu. A scholar is included among the top collaborators of Shihfen Tu 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 Shihfen Tu. Shihfen Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mason, Craig A., et al.. (2023). Cost-Effectiveness of Algebraic Technological Applications. Journal of Research on Educational Effectiveness. 17(4). 1031–1055. 1 indexed citations
2.
Mason, Craig A., et al.. (2023). The Impacts of Three Educational Technologies on Algebraic Understanding in the Context of COVID-19. AERA Open. 9. 1211506655–1211506655. 14 indexed citations
3.
Mason, Craig A., et al.. (2023). Feasible Adaptation of ESDM for Statewide Implementation: A Look at Potential Effects, Implementation Conditions, and Cost. Journal of Early Intervention. 46(2). 255–275. 5 indexed citations
4.
Tu, Shihfen. (2020). Odds of Autism at 5 to 10 Years of Age for Children Who Did Not Pass Their AABR Newborn Hearing Screen, But Were Diagnosed with Normal Hearing. Digital Commons - USU (Utah State University). 5(1). 1–12. 3 indexed citations
5.
Inventado, Paul Salvador, Noboru Matsuda, Yeping Li, et al.. (2018). Using Design Patterns for Math Preservice Teacher Education. 1–8. 2 indexed citations
6.
Butterfield, Stephen A., et al.. (2018). Children’s Throwing and Striking: A Longitudinal Study. Journal of Motor Learning and Development. 6(2). 315–332. 7 indexed citations
7.
Mason, Craig A., et al.. (2017). Validation of the OptoGait System for Monitoring Treatment and Recovery of Post-Concussion Athletes. Journal of Chiropractic Medicine. 16(2). 163–169. 4 indexed citations
8.
Martinson, Timothy E., et al.. (2017). PACER Performance of Children Aged 11–14 With Attention-Deficit Hyperactive Disorder. Pediatric Exercise Science. 30(2). 237–242. 5 indexed citations
9.
McGuire, Patrick, et al.. (2017). Counterintuitive effects of online feedback in middle school math: results from a randomized controlled trial in ASSISTments. Educational Media International. 54(3). 231–244. 6 indexed citations
10.
Lehnhard, Robert A., et al.. (2012). The metabolic response to treadmill graded exercise: traditional vs. underwater. Comparative Exercise Physiology. 8(1). 11–18. 3 indexed citations
11.
Tu, Shihfen, et al.. (2009). Agenesis of the Corpus Callosum: A Literature Review. 171–193. 5 indexed citations
12.
Mason, Craig A. & Shihfen Tu. (2008). Data linkage using probabilistic decision rules: A primer. Birth Defects Research Part A Clinical and Molecular Teratology. 82(11). 812–821. 18 indexed citations
13.
Mason, Craig A. & Shihfen Tu. (2008). Partitioning the population attributable fraction for a sequential chain of effects. PubMed. 5(1). 5–5. 18 indexed citations
14.
Tu, Shihfen, et al.. (2006). Health‐related issues in individuals with agenesis of the corpus callosum. Child Care Health and Development. 32(3). 333–342. 44 indexed citations
15.
Scott, Marcia S., Christine F. Delgado, Shihfen Tu, & Kathryn L. Fletcher. (2005). Selecting and Validating Tasks from a Kindergarten Screening Battery That Best Predict Third Grade Educational Placement. Education and training in developmental disabilities. 40(4). 377–389. 1 indexed citations
16.
Tu, Shihfen & Craig A. Mason. (2004). Organizing population data into complex family pedigrees: Application of a second‐order data linkage to state birth defects registries. Birth Defects Research Part A Clinical and Molecular Teratology. 70(9). 603–608. 4 indexed citations
17.
Scott, Marcia S., Shihfen Tu, & Kathryn Fletcher. (2003). Cross Validating a New Preschool Screening Test. Education and training in developmental disabilities. 38(2). 4 indexed citations
18.
Tu, Shihfen. (2003). Developmental Epidemiology: A Review of Three Key Measures of Effect. Journal of Clinical Child & Adolescent Psychology. 32(2). 187–192. 7 indexed citations
19.
Mason, Craig A., Keith G. Scott, Derek A. Chapman, & Shihfen Tu. (2000). A Review of Some Individual- and Community-Level Effect Size Indices for the Study of Risk Factors for Child and Adolescent Development. Educational and Psychological Measurement. 60(3). 385–410. 21 indexed citations
20.
Mason, Craig A., Shihfen Tu, & Ana Mari Cauce. (1996). Assessing Moderator Variables: Two Computer Simulation Studes. Educational and Psychological Measurement. 56(1). 45–62. 17 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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