Dingjing Shi

953 total citations · 1 hit paper
20 papers, 483 citations indexed

About

Dingjing Shi is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Dingjing Shi has authored 20 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 5 papers in Statistics and Probability and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Dingjing Shi's work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers) and Mental Health Research Topics (5 papers). Dingjing Shi is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers) and Mental Health Research Topics (5 papers). Dingjing Shi collaborates with scholars based in United States, Iran and Dominican Republic. Dingjing Shi's co-authors include Alexander P. Christensen, Luís Eduardo Garrido, Ritu Sadana, Hudson Golino, Jotheeswaran Amuthavalli Thiyagarajan, María Dolores Nieto, Agustín Martínez‐Molina, Ji Hoon Ryoo, Michael Hull and Susan M. Swearer and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Frontiers in Psychology.

In The Last Decade

Dingjing Shi

16 papers receiving 478 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.

2020 281 citations Hudson Golino, Dingjing Shi et al. Psychological Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dingjing Shi United States	7	209	131	94	84	48	20	483
María Dolores Nieto Spain	7	234 1.1×	142 1.1×	99 1.1×	106 1.3×	43 0.9×	12	519
Gabriela Lunansky Netherlands	9	367 1.8×	227 1.7×	165 1.8×	115 1.4×	67 1.4×	18	590
Emorie D Beck United States	13	325 1.6×	244 1.9×	109 1.2×	139 1.7×	32 0.7×	36	672
Noémi Katalin Schuurman Netherlands	11	409 2.0×	163 1.2×	116 1.2×	125 1.5×	26 0.5×	20	657
Rina Foygel United States	5	321 1.5×	91 0.7×	174 1.9×	45 0.5×	68 1.4×	6	590
Ines H.I. Chow Macao	10	267 1.3×	279 2.1×	120 1.3×	96 1.1×	138 2.9×	18	668
Tianqi Yang China	14	133 0.6×	102 0.8×	63 0.7×	35 0.4×	54 1.1×	45	467
Pan Chen China	11	216 1.0×	182 1.4×	87 0.9×	129 1.5×	44 0.9×	34	501
Pascal R. Deboeck United States	14	253 1.2×	275 2.1×	63 0.7×	192 2.3×	43 0.9×	46	728
Joran Jongerling Netherlands	15	157 0.8×	216 1.6×	54 0.6×	108 1.3×	58 1.2×	49	670

Countries citing papers authored by Dingjing Shi

Since Specialization

Citations

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

Fields of papers citing papers by Dingjing Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingjing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dingjing Shi. A scholar is included among the top collaborators of Dingjing Shi 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 Dingjing Shi. Dingjing Shi 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

Rezaei, Zahra, et al.. (2026). Network-based artificial intelligence in mental healthcare: A systematic review of chatbots, artificial intelligence/machine learning models and ethical considerations in global healthcare networks. Digital Health. 12. 620065400–620065400.

Shi, Dingjing, et al.. (2025). A Tutorial on Supervised Machine Learning Variable Selection Methods in Classification for the Social and Health Sciences in R. 5(1). 103–147. 2 indexed citations

Ilani, Mohsen Asghari, Dingjing Shi, & Yaser Mike Banad. (2025). T1-weighted MRI-based brain tumor classification using hybrid deep learning models. Scientific Reports. 15(1). 7010–7010. 12 indexed citations

Rezaei, Zahra, et al.. (2025). Predicting climate change: A comparative analysis of time series models for CO2 concentrations and temperature anomalies. Environmental Modelling & Software. 192. 106533–106533. 1 indexed citations

Fairchild, Amanda J., et al.. (2025). Comparing Likert and Slider Response Formats in Clinical Assessment: Evidence From Measuring Depression Symptoms Using CES-D 8. Assessment. 33(3). 388–407.

Businelle, Michael S., Emily T. Hébert, Dingjing Shi, et al.. (2024). Investigating Best Practices for Ecological Momentary Assessment: Nationwide Factorial Experiment. Journal of Medical Internet Research. 26. e50275–e50275. 4 indexed citations

Shi, Dingjing, Alexander P. Christensen, Eric Anthony Day, Hudson Golino, & Luís Eduardo Garrido. (2024). Exploring Estimation Procedures for Reducing Dimensionality in Psychological Network Modeling. Multivariate Behavioral Research. 60(2). 184–210.

Hébert, Emily T., Zachary Pope, Lizbeth Benson, et al.. (2024). Associations between cannabis use and same-day health and substance use behaviors. Addictive Behaviors. 163. 108239–108239.

Guo, Yanting, et al.. (2024). Top-Down Proteomics Analysis of Picogram-Level Complex Samples Using Spray-Capillary-Based Capillary Electrophoresis–Mass Spectrometry. Analytical Chemistry. 96(21). 8763–8771. 11 indexed citations

10.

Shi, Dingjing, Dexin Shi, & Amanda J. Fairchild. (2023). Variable Selection for Mediators under a Bayesian Mediation Model. Structural Equation Modeling A Multidisciplinary Journal. 30(6). 887–900. 2 indexed citations

11.

Shi, Dingjing, et al.. (2021). Depressive symptoms as a predictor of memory decline in older adults: A longitudinal study using the dual change score model. Archives of Gerontology and Geriatrics. 97. 104501–104501. 6 indexed citations

12.

Shi, Dingjing, et al.. (2021). Longitudinal association between subjective and objective memory in older adults: a study with the Virginia Cognitive Aging Project sample. Aging Neuropsychology and Cognition. 30(2). 231–255. 4 indexed citations

13.

Shi, Dingjing, Xin Tong, & M. Joseph Meyer. (2020). A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R. Frontiers in Psychology. 11. 169–169. 5 indexed citations

14.

Golino, Hudson, Dingjing Shi, Alexander P. Christensen, et al.. (2020). Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.. Psychological Methods. 25(3). 292–320. 281 indexed citations breakdown →

15.

Shi, Dingjing & Xin Tong. (2020). Mitigating Selection Bias: A Bayesian Approach to Two-stage Causal Modeling With Instrumental Variables for Nonnormal Missing Data. Sociological Methods & Research. 51(3). 1052–1099. 6 indexed citations

16.

Golino, Hudson, Robert Moulder, Dingjing Shi, et al.. (2020). Entropy Fit Indices: New Fit Measures for Assessing the Structure and Dimensionality of Multiple Latent Variables. Multivariate Behavioral Research. 56(6). 874–902. 46 indexed citations

17.

Shi, Dingjing & Xin Tong. (2018). Bayesian Robust Two-stage Causal Modeling with Nonnormal Missing Data. Multivariate Behavioral Research. 53(1). 127–127. 4 indexed citations

18.

Ryoo, Ji Hoon, Cixin Wang, Susan M. Swearer, Michael Hull, & Dingjing Shi. (2018). Longitudinal Model Building Using Latent Transition Analysis: An Example Using School Bullying Data. Frontiers in Psychology. 9. 675–675. 81 indexed citations

19.

Shi, Dingjing & Xin Tong. (2017). The Impact of Prior Information on Bayesian Latent Basis Growth Model Estimation. SAGE Open. 7(3). 16 indexed citations

20.

Ryoo, Ji Hoon & Dingjing Shi. (2014). Review ofDiscovering Structural Equation Modeling Using Stata—Revised Edition,. Structural Equation Modeling A Multidisciplinary Journal. 22(1). 162–165. 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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