Shin-Yi Fang

571 total citations
10 papers, 350 citations indexed

About

Shin-Yi Fang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Shin-Yi Fang has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Developmental and Educational Psychology and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Shin-Yi Fang's work include Reading and Literacy Development (7 papers), Neurobiology of Language and Bilingualism (6 papers) and Second Language Acquisition and Learning (3 papers). Shin-Yi Fang is often cited by papers focused on Reading and Literacy Development (7 papers), Neurobiology of Language and Bilingualism (6 papers) and Second Language Acquisition and Learning (3 papers). Shin-Yi Fang collaborates with scholars based in United States, Taiwan and Hong Kong. Shin-Yi Fang's co-authors include Ping Li, Angela Grant, Ho‐Ling Liu, Kathleen Ahrens, Chia‐Ying Lee, Yuan-Yu Hsu, Jennifer Legault, Yu‐Ju Lan, Lei Mo and Hua Jin and has published in prestigious journals such as Frontiers in Psychology, Memory & Cognition and Brain and Language.

In The Last Decade

Shin-Yi Fang

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shin-Yi Fang United States	9	226	142	138	70	44	10	350
Nigel Gopie Canada	8	427 1.9×	165 1.2×	121 0.9×	101 1.4×	29 0.7×	8	519
Florian Hintz Netherlands	10	255 1.1×	173 1.2×	117 0.8×	30 0.4×	19 0.4×	37	340
Olessia Jouravlev Canada	15	409 1.8×	263 1.9×	120 0.9×	84 1.2×	38 0.9×	23	539
Markus Ostarek Netherlands	13	258 1.1×	111 0.8×	213 1.5×	195 2.8×	23 0.5×	23	422
Alina Leminen Finland	13	423 1.9×	297 2.1×	107 0.8×	37 0.5×	31 0.7×	29	480
José Manuel Igoa Spain	9	261 1.2×	148 1.0×	112 0.8×	38 0.5×	49 1.1×	17	334
David S. Race United States	8	382 1.7×	260 1.8×	74 0.5×	34 0.5×	87 2.0×	8	464
Hannelore Lee-Jahnke Switzerland	7	353 1.6×	235 1.7×	67 0.5×	22 0.3×	92 2.1×	18	449
Laura Menenti Netherlands	11	537 2.4×	320 2.3×	166 1.2×	147 2.1×	82 1.9×	15	631
Minna Vihla Finland	11	274 1.2×	126 0.9×	74 0.5×	33 0.5×	30 0.7×	15	340

Countries citing papers authored by Shin-Yi Fang

Since Specialization

Citations

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

Fields of papers citing papers by Shin-Yi Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin-Yi Fang. 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 Shin-Yi Fang. The network helps show where Shin-Yi Fang may publish in the future.

Co-authorship network of co-authors of Shin-Yi Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Shin-Yi Fang. A scholar is included among the top collaborators of Shin-Yi Fang 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 Shin-Yi Fang. Shin-Yi Fang 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:

10 of 10 papers shown

Legault, Jennifer, Angela Grant, Shin-Yi Fang, & Ping Li. (2019). A longitudinal investigation of structural brain changes during second language learning. Brain and Language. 197. 104661–104661. 25 indexed citations

Legault, Jennifer, Shin-Yi Fang, Yu‐Ju Lan, & Ping Li. (2018). Structural brain changes as a function of second language vocabulary training: Effects of learning context. Brain and Cognition. 134. 90–102. 38 indexed citations

Allen, Richard J., et al.. (2017). Cross-modal working memory binding and L1-L2 word learning. Memory & Cognition. 45(8). 1371–1383. 8 indexed citations

Follmer, D. Jake, Shin-Yi Fang, Roy B. Clariana, Bonnie J. F. Meyer, & Ping Li. (2017). What predicts adult readers’ understanding of STEM texts?. Reading and Writing. 31(1). 185–214. 22 indexed citations

Fang, Shin-Yi, Benjamin D. Zinszer, Barbara C. Malt, & Ping Li. (2016). Bilingual Object Naming: A Connectionist Model. Frontiers in Psychology. 7. 644–644. 13 indexed citations

Grant, Angela, Shin-Yi Fang, & Ping Li. (2015). Second language lexical development and cognitive control: A longitudinal fMRI study. Brain and Language. 144. 35–47. 69 indexed citations

Kornilov, Sergey A., Nicole Landi, Natalia Rakhlin, et al.. (2014). Attentional But Not Pre-Attentive Neural Measures of Auditory Discrimination Are Atypical in Children With Developmental Language Disorder. Developmental Neuropsychology. 39(7). 543–567. 8 indexed citations

Jin, Hua, et al.. (2008). Involvement of the left inferior frontal gyrus in predictive inference making. International Journal of Psychophysiology. 71(2). 142–148. 34 indexed citations

Ahrens, Kathleen, et al.. (2005). Functional MRI of conventional and anomalous metaphors in Mandarin Chinese. Brain and Language. 100(2). 163–171. 114 indexed citations

10.

Liu, Ho‐Ling, et al.. (2004). Correlation between temporal response of fMRI and fast reaction time in a language task. Magnetic Resonance Imaging. 22(4). 451–455. 19 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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