Ming Yan

2.0k total citations
71 papers, 1.4k citations indexed

About

Ming Yan is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Ming Yan has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Developmental and Educational Psychology, 52 papers in Cognitive Neuroscience and 26 papers in Experimental and Cognitive Psychology. Recurrent topics in Ming Yan's work include Reading and Literacy Development (52 papers), Neurobiology of Language and Bilingualism (35 papers) and Multisensory perception and integration (16 papers). Ming Yan is often cited by papers focused on Reading and Literacy Development (52 papers), Neurobiology of Language and Bilingualism (35 papers) and Multisensory perception and integration (16 papers). Ming Yan collaborates with scholars based in China, Germany and Macao. Ming Yan's co-authors include Reinhold Kliegl, Hua Shu, Jinger Pan, Eike M. Richter, Wei Zhou, Jochen Laubrock, Antje Nuthmann, Jie-Li Tsai, Aiping Wang and Scott A. McDonald and has published in prestigious journals such as Scientific Reports, Developmental Psychology and Cerebral Cortex.

In The Last Decade

Ming Yan

67 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Yan China	22	1.1k	945	471	217	207	71	1.4k
Keith Rayner United States	8	810 0.8×	778 0.8×	286 0.6×	221 1.0×	205 1.0×	9	1.1k
Alexander Pollatsek United States	10	1.0k 1.0×	1.1k 1.1×	400 0.8×	226 1.0×	237 1.1×	10	1.4k
Hazel I. Blythe United Kingdom	20	1.1k 1.0×	858 0.9×	267 0.6×	167 0.8×	339 1.6×	46	1.4k
Katherine J. Midgley United States	21	987 0.9×	1.0k 1.1×	354 0.8×	122 0.6×	89 0.4×	65	1.2k
Holly Joseph United Kingdom	16	820 0.8×	539 0.6×	163 0.3×	94 0.4×	312 1.5×	23	991
Jinmian Yang United States	16	595 0.6×	581 0.6×	229 0.5×	246 1.1×	140 0.7×	23	830
Victoria A. McGowan United Kingdom	17	514 0.5×	442 0.5×	185 0.4×	181 0.8×	121 0.6×	41	703
Marta Vergara‐Martínez Spain	19	954 0.9×	960 1.0×	281 0.6×	38 0.2×	119 0.6×	38	1.2k
David Zola United States	13	824 0.8×	1.1k 1.2×	459 1.0×	380 1.8×	181 0.9×	21	1.5k
Wayne S. Murray United Kingdom	15	411 0.4×	556 0.6×	195 0.4×	166 0.8×	135 0.7×	21	789

Countries citing papers authored by Ming Yan

Since Specialization

Citations

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

Fields of papers citing papers by Ming Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yan

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

Yan, Ming, et al.. (2025). How the Dominant Reading Direction Changes Parafoveal Processing: A Combined EEG /Eye‐Tracking Study. Psychophysiology. 62(12). e70205–e70205.

Yan, Ming, et al.. (2025). Is Direction-Specific Reading Experience Transferrable Across Orthographies? Eye Tracking Evidence from Chinese-Japanese Bilinguals. Scientific Studies of Reading. 29(3). 290–302. 2 indexed citations

Yan, Ming, et al.. (2025). Parafoveal grouping of characters facilitates encoding of morphological hierarchical structure during sentence reading. Reading and Writing. 39(1). 315–332. 1 indexed citations

Tsang, Yiu‐Kei, et al.. (2024). A corpus of Chinese word segmentation agreement. Behavior Research Methods. 57(1). 25–25. 2 indexed citations

Zheng, Yuanhang, Peng Li, Ming Yan, et al.. (2024). Budget-Constrained Tool Learning with Planning. 9039–9052. 3 indexed citations

Pan, Jinger, Aiping Wang, Mingsha Zhang, Yiu‐Kei Tsang, & Ming Yan. (2024). Printing words in alternating colors facilitates eye movements among young and older Chinese adults. Psychonomic Bulletin & Review. 32(2). 855–865. 3 indexed citations

Zhou, Wei, Sile Wang, & Ming Yan. (2023). Fixation-related fMRI analysis reveals the neural basis of natural reading of unspaced and spaced Chinese sentences. Cerebral Cortex. 33(19). 10401–10410. 3 indexed citations

Yan, Ming, et al.. (2023). Shared translation in second language activates unrelated words in first language. Psychonomic Bulletin & Review. 31(3). 1245–1255.

Pan, Jinger & Ming Yan. (2023). The perceptual span in traditional Chinese. Language and Cognition. 16(1). 134–147. 2 indexed citations

10.

Yan, Ming & Jinger Pan. (2023). Joint effects of individual reading skills and word properties on Chinese children’s eye movements during sentence reading. Scientific Reports. 13(1). 14754–14754. 2 indexed citations

11.

Zhou, Wei, Aiping Wang, & Ming Yan. (2021). Eye movements and the perceptual span among skilled Uighur readers. Vision Research. 182. 20–26. 9 indexed citations

12.

Pan, Jinger, Ming Yan, Eike M. Richter, Hua Shu, & Reinhold Kliegl. (2021). The Beijing Sentence Corpus: A Chinese sentence corpus with eye movement data and predictability norms. Behavior Research Methods. 54(4). 1989–2000. 24 indexed citations

13.

Pan, Jinger, Ming Yan, & Jochen Laubrock. (2020). Semantic preview benefit and cost: Evidence from parafoveal fast-priming paradigm. Cognition. 205. 104452–104452. 11 indexed citations

14.

Yan, Ming, Jinger Pan, & Reinhold Kliegl. (2019). Eye movement control in Chinese reading: A cross-sectional study.. Developmental Psychology. 55(11). 2275–2285. 14 indexed citations

15.

Pan, Jinger, Jochen Laubrock, & Ming Yan. (2016). Parafoveal processing in silent and oral reading: Reading mode influences the relative weighting of phonological and semantic information in Chinese.. Journal of Experimental Psychology Learning Memory and Cognition. 42(8). 1257–1273. 29 indexed citations

16.

Wang, Aiping, et al.. (2015). Cross-language parafoveal semantic processing: Evidence from Korean–Chinese bilinguals. Psychonomic Bulletin & Review. 23(1). 285–290. 24 indexed citations

17.

Yan, Ming & Werner Sommer. (2015). Parafoveal-on-foveal effects of emotional word semantics in reading Chinese sentences: Evidence from eye movements.. Journal of Experimental Psychology Learning Memory and Cognition. 41(4). 1237–1243. 13 indexed citations

18.

Pan, Jinger, et al.. (2014). Saccade-target selection of dyslexic children when reading Chinese. Vision Research. 97. 24–30. 1 indexed citations

19.

Tsai, Jie-Li, Reinhold Kliegl, & Ming Yan. (2013). Parafoveal semantic information extraction in traditional Chinese reading. 5 indexed citations

20.

Yan, Ming, et al.. (2012). Preview Fixation Duration Modulates Identical and Semantic Preview Benefit in Chinese Reading. 1 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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