Jie Sui

5.9k total citations · 1 hit paper
133 papers, 4.1k citations indexed

About

Jie Sui is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Jie Sui has authored 133 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cognitive Neuroscience, 47 papers in Experimental and Cognitive Psychology and 45 papers in Social Psychology. Recurrent topics in Jie Sui's work include Neural and Behavioral Psychology Studies (53 papers), Cultural Differences and Values (24 papers) and Face Recognition and Perception (21 papers). Jie Sui is often cited by papers focused on Neural and Behavioral Psychology Studies (53 papers), Cultural Differences and Values (24 papers) and Face Recognition and Perception (21 papers). Jie Sui collaborates with scholars based in United Kingdom, China and Canada. Jie Sui's co-authors include Glyn W. Humphreys, Shihui Han, Xun He, Chang Hong Liu, Pia Rotshtein, Ying Zhu, Kaiping Peng, Ala Yankouskaya, Xiaosi Gu and Minghui Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Jie Sui

124 papers receiving 4.0k 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.

The Integrative Self: How Self-Reference Integrates Perception and Memory

2015 339 citations Jie Sui, Glyn W. Humphreys profile →

Peers

Jie Sui

CN

ECP

SP

SPS

DEP

Xiaolin Zhou China

John D. Eastwood Canada

Disa Sauter Netherlands

Christian Frings Germany

Philip A. Gable United States

Daniel Algom Israel

Ifat Levy United States

Paula M. Niedenthal France

Lynden K. Miles United Kingdom

Cornelia Herbert Germany

Xiaolin Zhou China

Jie Sui

3.9k ×1.4

CN

1.3k ×0.9

ECP

955 ×0.7

SP

425 ×0.7

SPS

1.1k ×2.0

DEP

Citations per year, relative to Jie Sui Jie Sui (= 1×) peers Xiaolin Zhou

Countries citing papers authored by Jie Sui

Since Specialization

Citations

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

Fields of papers citing papers by Jie Sui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Sui

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Li, Yutong, Jie Sui, Russell Greiner, et al.. (2024). Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study. Journal of Affective Disorders. 357. 148–155. 7 indexed citations

2.

Lei, Qian, Jie Sui, Russell Greiner, et al.. (2023). Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort. Journal of Affective Disorders. 339. 52–57. 14 indexed citations

3.

Yankouskaya, Ala & Jie Sui. (2022). Self‐prioritization is supported by interactions between large‐scale brain networks. European Journal of Neuroscience. 55(5). 1244–1261. 9 indexed citations

4.

Sui, Jie, et al.. (2022). Individual differences in self- and value-based reward processing. SHILAP Revista de lepidopterología. 4. 100095–100095. 2 indexed citations

5.

Fernandes, Henrique M., et al.. (2022). On screen experiment showed that becoming a parent for the first time shifted people's priorities from themselves to their infant at 1 year of age. Acta Paediatrica. 112(1). 85–92. 2 indexed citations

6.

Stevner, Angus, et al.. (2022). Sleep‐deprived new mothers gave their infants a higher priority than themselves. Acta Paediatrica. 112(1). 93–99. 5 indexed citations

7.

Yi, Dewei, et al.. (2021). Application of a brain-inspired deep imitation learning algorithm in autonomous driving. Software Impacts. 10. 100165–100165. 5 indexed citations

8.

Voinescu, Alexandra, Jie Sui, & Danaë Stanton Fraser. (2021). Virtual Reality in Neurorehabilitation: An Umbrella Review of Meta-Analyses. Journal of Clinical Medicine. 10(7). 1478–1478. 65 indexed citations

9.

Bao, Zhang, et al.. (2020). Enhanced memory-driven attentional capture in action video game players. Computers in Human Behavior. 107. 106271–106271. 6 indexed citations

10.

Cao, Liping, Jiangshan Chen, Yang S. Liu, et al.. (2020). Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests. Journal of Affective Disorders. 282. 662–668. 8 indexed citations

11.

Sui, Jie, et al.. (2020). Self‐referential processing and emotion context insensitivity in major depressive disorder. European Journal of Neuroscience. 53(1). 311–329. 18 indexed citations

12.

Hobbs, Catherine, Susannah E. Murphy, James Taylor Carson, et al.. (2020). Effect of acute citalopram on self-referential emotional processing and social cognition in healthy volunteers. BJPsych Open. 6(6). e124–e124. 12 indexed citations

13.

Sel, Alejandra, Jie Sui, Joshua Shepherd, & Glyn W. Humphreys. (2019). Self-Association and Attentional Processing Regarding Perceptually Salient Items. Review of Philosophy and Psychology. 10(4). 735–746. 8 indexed citations

14.

Sui, Jie, et al.. (2018). Self-reference in action: Arm-movement responses are enhanced in perceptual matching. Acta Psychologica. 190. 258–266. 22 indexed citations

15.

Kessler, David, et al.. (2018). Biased Self-Referential Processing in Depression. OSF Preprints (OSF Preprints). 1 indexed citations

16.

Yankouskaya, Ala, et al.. (2018). Intertwining personal and reward relevance: evidence from the drift-diffusion model. Psychological Research. 84(1). 32–50. 16 indexed citations

17.

Sui, Jie & Xiaosi Gu. (2017). Self as Object: Emerging Trends in Self Research. Trends in Neurosciences. 40(11). 643–653. 90 indexed citations

18.

Sun, Yang, Luis J. Fuentes, Glyn W. Humphreys, & Jie Sui. (2016). Dataset of embodied perspective enhances self and friend-biases in perceptual matching. Data in Brief. 8. 1374–1376. 2 indexed citations

19.

Sui, Jie, et al.. (2013). An Efficient Mesh Generation Method for Fractured Network System Based on Dynamic Grid Deformation. Mathematical Problems in Engineering. 2013. 1–9. 9 indexed citations

20.

Wang, Lingyun, Ming Zhang, & Jie Sui. (2011). Self-face Advantage Benefits from a Visual Self-reference Frame. Acta Psychologica Sinica. 43(5). 494–499. 4 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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