Jiannong Shi

2.2k total citations
109 papers, 1.5k citations indexed

About

Jiannong Shi is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Jiannong Shi has authored 109 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Experimental and Cognitive Psychology, 44 papers in Cognitive Neuroscience and 22 papers in Social Psychology. Recurrent topics in Jiannong Shi's work include Neural and Behavioral Psychology Studies (32 papers), Cognitive Abilities and Testing (24 papers) and Education, Achievement, and Giftedness (16 papers). Jiannong Shi is often cited by papers focused on Neural and Behavioral Psychology Studies (32 papers), Cognitive Abilities and Testing (24 papers) and Education, Achievement, and Giftedness (16 papers). Jiannong Shi collaborates with scholars based in China, Denmark and Czechia. Jiannong Shi's co-authors include Tongran Liu, Albert Ziegler, Xiaoju Duan, Frank M. Spinath, Liping Lu, Tong Xiao, Di Wang, Joseph Baker, H. Wéber and Jörg Schorer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Developmental Psychology.

In The Last Decade

Jiannong Shi

107 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiannong Shi China	21	598	409	393	331	331	109	1.5k
Lara L. Jones United States	13	440 0.7×	411 1.0×	205 0.5×	212 0.6×	437 1.3×	24	1.2k
Elizabeth Kirk United Kingdom	13	684 1.1×	294 0.7×	372 0.9×	351 1.1×	479 1.4×	26	1.4k
Carmen Flores-Mendoza Brazil	16	642 1.1×	311 0.8×	198 0.5×	136 0.4×	286 0.9×	59	1.3k
Amy S. Finn United States	19	406 0.7×	565 1.4×	396 1.0×	289 0.9×	414 1.3×	50	1.7k
H. Harald Freudenthaler Austria	23	584 1.0×	562 1.4×	399 1.0×	767 2.3×	327 1.0×	40	2.0k
Helen St Clair‐Thompson United Kingdom	18	612 1.0×	533 1.3×	478 1.2×	219 0.7×	782 2.4×	33	1.8k
Ross G. Alloway United States	9	396 0.7×	367 0.9×	319 0.8×	112 0.3×	533 1.6×	10	1.3k
Lee Anne Thompson United States	17	650 1.1×	215 0.5×	436 1.1×	215 0.6×	557 1.7×	20	1.5k
Janet J. Boseovski United States	15	311 0.5×	544 1.3×	380 1.0×	370 1.1×	946 2.9×	37	1.5k
Joel S. Steele United States	18	200 0.3×	358 0.9×	484 1.2×	244 0.7×	445 1.3×	37	1.5k

Countries citing papers authored by Jiannong Shi

Since Specialization

Citations

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

Fields of papers citing papers by Jiannong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiannong Shi

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

Wang, Chuan, et al.. (2024). Joyful growth vs. compulsive hedonism: A meta-analysis of brain activation on romantic love and addictive disorders. Neuropsychologia. 204. 109003–109003. 1 indexed citations

Shi, Jiannong, et al.. (2022). Whether and how can a growth mindset intervention help students in a non-western culture? Evidence from a field experiment in China. Educational Psychology. 42(7). 913–929. 10 indexed citations

Su, Meng, et al.. (2021). Visuospatial, rather than verbal working memory capacity plays a key role in verbal and figural creativity. Thinking & Reasoning. 28(1). 29–60. 9 indexed citations

Chen, Ning, et al.. (2021). Wisdom minds with creative wings: Igniting creative dynamics focusing on its interest cultivation. Advances in Psychological Science. 29(4). 707–722. 1 indexed citations

Zhang, Xingli, et al.. (2020). Tonic pupil size and its variability are associated with fluid intelligence in adolescents aged 11–14 years. PsyCh Journal. 10(1). 20–32. 1 indexed citations

Liu, Tongran, Tong Xiao, & Jiannong Shi. (2018). Neural Correlates of Response Inhibition and Conflict Control on Facial Expressions. Frontiers in Human Neuroscience. 11. 657–657. 10 indexed citations

Zhu, Mingjing, Qian Liu, Yao Fu, et al.. (2018). The relationship between teacher self-concept, teacher efficacy and burnout. Teachers and Teaching. 24(7). 788–801. 41 indexed citations

Du, Xiangyun, Egon Toft, Xingli Zhang, et al.. (2017). A comparison between the effectiveness of PBL and LBL on improving problem-solving abilities of medical students using questioning. Innovations in Education and Teaching International. 55(1). 44–54. 29 indexed citations

Liu, Tongran, Tong Xiao, & Jiannong Shi. (2016). Automatic Change Detection to Facial Expressions in Adolescents: Evidence from Visual Mismatch Negativity Responses. Frontiers in Psychology. 7. 462–462. 12 indexed citations

10.

Zhou, Chunfang & Jiannong Shi. (2015). A Cross-Cultural Perspective to Creativity in Engineering Education in Problem-Based Learning (PBL) between Denmark and China. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 4 indexed citations

11.

Liu, Tongran, et al.. (2015). Neural mechanism of facial expression perception in intellectually gifted adolescents. Neuroscience Letters. 592. 22–26. 6 indexed citations

12.

Liu, Tongran, Tong Xiao, Xiaoyan Li, & Jiannong Shi. (2015). Fluid Intelligence and Automatic Neural Processes in Facial Expression Perception: An Event-Related Potential Study. PLoS ONE. 10(9). e0138199–e0138199. 14 indexed citations

13.

Shi, Jiannong, et al.. (2012). Psychology of Creativity and Cultivation of Excellent Talents. VBN Forskningsportal (Aalborg Universitet).

14.

Shi, Jiannong. (2010). Revision of Dispositional Optimism Inventory in Adolescents. Zhongguo linchuang xinlixue zazhi. 1 indexed citations

15.

Duan, Xiaoju, et al.. (2010). The relationship between executive function and intelligence on 11- to 12-year-old children. 52(4). 419–431. 48 indexed citations

16.

Baker, Joseph, Jörg Schorer, Albert Ziegler, & Jiannong Shi. (2010). Talent Development & Excellence. 105 indexed citations

17.

Shi, Jiannong, et al.. (2009). Puberty timing and fluid intelligence: A study of correlations between testosterone and intelligence in 8- to 12-year-old Chinese boys. Psychoneuroendocrinology. 34(7). 983–988. 14 indexed citations

18.

Shi, Jiannong. (2008). Effect of Practice on Information Processing Speed in 7-Years-Old Children of Different Intellectual Levels. Zhongguo linchuang xinlixue zazhi. 2 indexed citations

19.

Liu, Tongran, et al.. (2007). Neural mechanisms of auditory sensory processing in children with high intelligence. Neuroreport. 18(15). 1571–1575. 29 indexed citations

20.

Aunio, Pirjo, et al.. (2006). Young Children's Number Sense in China and Finland. Scandinavian Journal of Educational Research. 50(5). 483–502. 70 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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