Shenghai Dai

424 total citations
29 papers, 251 citations indexed

About

Shenghai Dai is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Developmental and Educational Psychology. According to data from OpenAlex, Shenghai Dai has authored 29 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 8 papers in Computer Networks and Communications and 7 papers in Developmental and Educational Psychology. Recurrent topics in Shenghai Dai's work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (7 papers) and Mental Health Research Topics (3 papers). Shenghai Dai is often cited by papers focused on Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (7 papers) and Mental Health Research Topics (3 papers). Shenghai Dai collaborates with scholars based in United States, China and Poland. Shenghai Dai's co-authors include Yuliya Ardasheva, Zhang Xue, Dubravka Svetina, Chanjin Zheng, Xiaolin Wang, Ronald E. Riggio, David V. Day, Yufang Bian, Yu Xue and Bruce Austin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Frontiers in Psychology.

In The Last Decade

Shenghai Dai

24 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shenghai Dai United States	8	71	58	55	54	43	29	251
Ángel M. Fidalgo Spain	13	90 1.3×	56 1.0×	73 1.3×	67 1.2×	94 2.2×	26	332
John H.A.L. de Jong Netherlands	8	56 0.8×	66 1.1×	34 0.6×	88 1.6×	34 0.8×	26	304
Youn‐Jeng Choi United States	11	61 0.9×	60 1.0×	41 0.7×	109 2.0×	24 0.6×	37	313
Younhee Kim Macao	10	36 0.5×	95 1.6×	62 1.1×	127 2.4×	40 0.9×	36	408
Ray J Adams Australia	6	50 0.7×	79 1.4×	40 0.7×	176 3.3×	70 1.6×	15	356
Stuart Shaw United Kingdom	12	39 0.5×	93 1.6×	30 0.5×	213 3.9×	71 1.7×	30	427
Allison J. Ames United States	10	26 0.4×	46 0.8×	29 0.5×	97 1.8×	63 1.5×	35	349
Avi Allalouf United States	8	20 0.3×	95 1.6×	49 0.9×	106 2.0×	147 3.4×	14	318
Tacksoo Shin South Korea	6	61 0.9×	64 1.1×	52 0.9×	116 2.1×	12 0.3×	15	304
Kyndra Middleton United States	8	100 1.4×	88 1.5×	20 0.4×	143 2.6×	48 1.1×	20	287

Countries citing papers authored by Shenghai Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shenghai Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghai Dai

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

All Works

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20 of 20 papers shown

Catena, Robert D., et al.. (2025). Obesity as a moderator of lumber spine posture change during pregnancy. Gait & Posture. 122. 320–325.

Qian, Meihua, et al.. (2025). Psychometric Network Analysis and Dimensionality Assessment: A Software Review. Education Sciences. 15(5). 555–555. 1 indexed citations

Schmitter‐Edgecombe, Maureen, et al.. (2024). Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.. Neuropsychology. 39(1). 28–43. 3 indexed citations

Schmitter‐Edgecombe, Maureen, et al.. (2024). Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment. The Clinical Neuropsychologist. 1–25. 3 indexed citations

Qian, Meihua, et al.. (2024). Examining the Dimensionality of the Self-Perceptions of Creativity Scale Using Psychometric Network Analysis: A Tutorial. Creativity Research Journal. 1–14. 2 indexed citations

Dai, Shenghai, et al.. (2024). Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework. SHILAP Revista de lepidopterología. 11. 100158–100158.

Danielson, Robert, Gale M. Sinatra, Shenghai Dai, et al.. (2023). The Development and Validation of the Elementary Activity Interest Measure. The Journal of Experimental Education. 93(2). 396–418.

Xue, Zhang, et al.. (2023). Relationships Among English Language Proficiency, Self-efficacy, Motivation, Motivational Intensity, and Achievement in an ESP/EAP Context. Journal of Psycholinguistic Research. 52(6). 3019–3038. 4 indexed citations

Dai, Shenghai, et al.. (2023). PISA reading achievement: identifying predictors and examining model generalizability for multilingual students. Reading and Writing. 36(10). 2763–2795. 7 indexed citations

10.

Kangas, Sara E. N., Shenghai Dai, & Yuliya Ardasheva. (2023). The Intersection of Language and Disability Progress of English Learners With Disabilities on NAEP Reading. The Journal of Special Education. 58(2). 88–99. 3 indexed citations

11.

Dai, Shenghai, et al.. (2023). Students’ 2018 PISA reading self-concept: Identifying predictors and examining model generalizability for emergent bilinguals. Journal of School Psychology. 101. 101254–101254. 2 indexed citations

12.

Svetina, Dubravka & Shenghai Dai. (2023). Number of Response Categories and Sample Size Requirements in Polytomous IRT Models. The Journal of Experimental Education. 92(1). 154–185. 7 indexed citations

13.

Dai, Shenghai & Dubravka Svetina. (2022). Dealing with Missing Responses in Cognitive Diagnostic Modeling. SHILAP Revista de lepidopterología. 4(2). 318–342. 2 indexed citations

14.

Dai, Shenghai, Xiaolin Wang, & Dubravka Svetina. (2020). Missing Item Responses Imputation for Test and Assessment Data [R package TestDataImputation version 1.2].

15.

Xue, Zhang, Shenghai Dai, & Yuliya Ardasheva. (2020). Contributions of (de)motivation, engagement, and anxiety to English listening and speaking. Learning and Individual Differences. 79. 101856–101856. 73 indexed citations

16.

Riggio, Ronald E., et al.. (2019). Leader development begins at home: Overparenting harms adolescent leader emergence.. Journal of Applied Psychology. 104(10). 1226–1242. 49 indexed citations

17.

Dai, Shenghai, Dubravka Svetina, & Cong Chen. (2018). Investigation of Missing Responses in Q-Matrix Validation. Applied Psychological Measurement. 42(8). 660–676. 3 indexed citations

18.

Svetina, Dubravka, et al.. (2018). Examining DIF in the Context of CDMs When the Q-Matrix Is Misspecified. Frontiers in Psychology. 9. 696–696. 6 indexed citations

19.

Svetina, Dubravka, et al.. (2017). Parameter Recovery in Multidimensional Item Response Theory Models Under Complexity and Nonnormality. Applied Psychological Measurement. 41(7). 530–544. 10 indexed citations

20.

Dai, Shenghai, et al.. (2017). Reporting Subscores Using R: A Software Review. Journal of Educational and Behavioral Statistics. 42(5). 617–638. 2 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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