Jianfeng Yang

742 total citations
21 papers, 493 citations indexed

About

Jianfeng Yang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jianfeng Yang has authored 21 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 13 papers in Developmental and Educational Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Jianfeng Yang's work include Reading and Literacy Development (13 papers), Neurobiology of Language and Bilingualism (11 papers) and Neural and Behavioral Psychology Studies (7 papers). Jianfeng Yang is often cited by papers focused on Reading and Literacy Development (13 papers), Neurobiology of Language and Bilingualism (11 papers) and Neural and Behavioral Psychology Studies (7 papers). Jianfeng Yang collaborates with scholars based in China, United States and Czechia. Jianfeng Yang's co-authors include Jason D. Zevin, Hua Shu, Bruce D. McCandliss, Yufang Yang, Xuhai Chen, Xiaojuan Wang, Jeremy I Skipper, Libo Zhao, Chuansheng Chen and Gui Xue and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Jianfeng Yang

21 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianfeng Yang China 15 361 304 137 76 33 21 493
Claudia Männel Germany 16 416 1.2× 470 1.5× 186 1.4× 70 0.9× 27 0.8× 45 683
Elina Mainela‐Arnold United States 15 425 1.2× 762 2.5× 98 0.7× 48 0.6× 21 0.6× 33 814
Sarah Schuster Austria 14 344 1.0× 258 0.8× 88 0.6× 35 0.5× 19 0.6× 27 464
Vinciane Gaillard Belgium 10 271 0.8× 186 0.6× 127 0.9× 44 0.6× 27 0.8× 15 390
Ferenc Kemény Hungary 12 231 0.6× 334 1.1× 52 0.4× 88 1.2× 48 1.5× 35 427
Sid Kouider France 7 259 0.7× 266 0.9× 112 0.8× 77 1.0× 39 1.2× 10 405
F. Sayako Earle United States 12 272 0.8× 280 0.9× 144 1.1× 33 0.4× 21 0.6× 23 432
Sari Ylinen Finland 13 415 1.1× 214 0.7× 329 2.4× 32 0.4× 35 1.1× 37 605
Natalia Arias‐Trejo Mexico 12 213 0.6× 411 1.4× 60 0.4× 52 0.7× 60 1.8× 53 522
Julia Morales Spain 6 435 1.2× 368 1.2× 99 0.7× 34 0.4× 43 1.3× 11 592

Countries citing papers authored by Jianfeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jianfeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfeng Yang

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

All Works

20 of 20 papers shown
1.
Wang, Xiaojuan, et al.. (2023). Time course of the integration of the morpho-semantics and the meaning of two-character Chinese compound words. Acta Psychologica Sinica. 55(8). 1207–1207. 2 indexed citations
2.
Zhang, Ruisheng, et al.. (2021). N170 adaptation effect of the sub-lexical phonological and semantic processing in Chinese character reading. Acta Psychologica Sinica. 53(8). 807–807. 4 indexed citations
3.
Zhang, Rui, et al.. (2019). The Interaction Between Phonological and Semantic Processing in Reading Chinese Characters. Frontiers in Psychology. 9. 2748–2748. 17 indexed citations
4.
Yang, Jianfeng, et al.. (2018). The neural circuit of semantic processing and its dynamic cooperation with the neural circuit of phonological processing in reading Chinese characters. Advances in Psychological Science. 26(3). 381–381. 2 indexed citations
5.
Fan, Rong, et al.. (2017). Rethinking the function of brain regions for reading Chinese characters in a meta-analysis of fMRI studies. Journal of Neurolinguistics. 44. 120–133. 12 indexed citations
6.
Zhao, Libo, Chunhui Chen, Yapeng Wang, et al.. (2016). Orthographic and Phonological Representations in the Fusiform Cortex. Cerebral Cortex. 27(11). 5197–5210. 53 indexed citations
7.
Zevin, Jason D., et al.. (2016). The Neural Correlates of the Interaction between Semantic and Phonological Processing for Chinese Character Reading. Frontiers in Psychology. 7. 947–947. 15 indexed citations
8.
Yang, Jianfeng, et al.. (2016). High working memory load impairs the effect of cognitive reappraisal on emotional response: Evidence from an event-related potential study. Neuroscience Letters. 639. 126–131. 26 indexed citations
9.
Yang, Jianfeng, et al.. (2015). Language Differences in the Brain Network for Reading in Naturalistic Story Reading and Lexical Decision. PLoS ONE. 10(5). e0124388–e0124388. 28 indexed citations
10.
Yang, Jianfeng, et al.. (2015). The electrocortical modulation effects of different emotion regulation strategies. Cognitive Neurodynamics. 9(4). 399–410. 23 indexed citations
11.
Yang, Jianfeng, et al.. (2014). MMN responses during implicit processing of changes in emotional prosody: an ERP study using Chinese pseudo-syllables. Cognitive Neurodynamics. 8(6). 499–508. 17 indexed citations
12.
Yang, Jianfeng, Hua Shu, Bruce D. McCandliss, & Jason D. Zevin. (2012). Orthographic influences on division of labor in learning to read Chinese and English: Insights from computational modeling. Bilingualism Language and Cognition. 16(2). 354–366. 57 indexed citations
13.
Chen, Xuhai, et al.. (2012). The Contribution of Sound Intensity in Vocal Emotion Perception: Behavioral and Electrophysiological Evidence. PLoS ONE. 7(1). e30278–e30278. 21 indexed citations
14.
Yang, Jianfeng, Xiaojuan Wang, Hua Shu, & Jason D. Zevin. (2012). Task by stimulus interactions in brain responses during Chinese character processing. NeuroImage. 60(2). 979–990. 18 indexed citations
15.
Yang, Jianfeng, et al.. (2011). Brain networks associated with sublexical properties of Chinese characters. Brain and Language. 119(2). 68–79. 16 indexed citations
16.
Wang, Xiaojuan, Jianfeng Yang, Hua Shu, & Jason D. Zevin. (2011). Left fusiform BOLD responses are inversely related to word-likeness in a one-back task. NeuroImage. 55(3). 1346–1356. 44 indexed citations
17.
Zevin, Jason D., Jianfeng Yang, Jeremy I Skipper, & Bruce D. McCandliss. (2010). Domain General Change Detection Accounts for “Dishabituation” Effects in Temporal–Parietal Regions in Functional Magnetic Resonance Imaging Studies of Speech Perception. Journal of Neuroscience. 30(3). 1110–1117. 29 indexed citations
18.
Yang, Jianfeng, Bruce D. McCandliss, Hua Shu, & Jason D. Zevin. (2009). Simulating language-specific and language-general effects in a statistical learning model of Chinese reading. Journal of Memory and Language. 61(2). 238–257. 90 indexed citations
19.
Yang, Jianfeng. (2008). A Connectionist Model of Chinese Characters Reading. Acta Psychologica Sinica. 40(5). 516–522. 2 indexed citations
20.
Li, Ping, Bruce D. McCandliss, Hua Shu, Jason D. Zevin, & Jianfeng Yang. (2006). A "Triangle Model" of Chinese Reading. eScholarship (California Digital Library). 28(28). 15 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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