Dingjing Shi

16 papers receiving 529 citations

Dingjing Shi's Hit Papers

Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. 2020 · 307 citations
3070+2+4Years since publication100200300

Peers

Dingjing Shi
Comparison fields: 5 of 96
  • Experimental and Cognitive Psychology 196
  • Applied Psychology 29
  • Clinical Psychology 113
  • Cognitive Neuroscience 78
  • Health 30
Replace María Dolores Nieto with:
María Dolores Nieto Spain
Joran Jongerling Netherlands
Emorie D Beck United States
Pascal R. Deboeck United States
Noémi Katalin Schuurman Netherlands
Kristof Meers Belgium
Maxwell Mansolf United States
Anna Wysocki United States
Veronica T. Cole United States
Jolanda J. Kossakowski Netherlands
Dingjing Shi relative to María Dolores Nieto Spain María Dolores Nieto's profile →
Citations per field
00.5×1.6×
María Dolores Nieto · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dingjing Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dingjing Shi Line = papers co-authored together Dingjing Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.
Hit paper breakdown →
2020307
2 201885
3 202051
4 202521
5 201716
6 202413
7 20217
8 20206
9 20246
10 20205
11 20185
12 20214
13 20252
14 20252
15 20232
16 20142
17 20240
18 20250
19 20240
20 20260

About Dingjing Shi

Dingjing Shi is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability, Statistical and Nonlinear Physics, Cognitive Neuroscience and Social Psychology, having authored 20 papers that have together received 534 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers), Mental Health Research Topics (5 papers), Advanced Causal Inference Techniques (3 papers), Complex Network Analysis Techniques (3 papers), Functional Brain Connectivity Studies (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Psychological Well-being and Life Satisfaction (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (196 citations), Applied Psychology (29 citations), Clinical Psychology (113 citations), Cognitive Neuroscience (78 citations) and Health (30 citations). Dingjing Shi has collaborated with scholars based in United States, Iran and Dominican Republic. Frequent co-authors include Luís Eduardo Garrido, Hudson Golino, Alexander P. Christensen, María Dolores Nieto, Ritu Sadana, Jotheeswaran Amuthavalli Thiyagarajan, Agustín Martínez‐Molina, Ji Hoon Ryoo, Michael Hull and Susan M. Swearer. Their work appears in journals such as Multivariate Behavioral Research, Structural Equation Modeling A Multidisciplinary Journal, Frontiers in Psychology, Journal of Medical Internet Research and Assessment.

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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