Haiyang Ai

662 total citations
11 papers, 308 citations indexed

About

Haiyang Ai is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Haiyang Ai has authored 11 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Language and Linguistics, 6 papers in Developmental and Educational Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Haiyang Ai's work include Second Language Acquisition and Learning (4 papers), EFL/ESL Teaching and Learning (3 papers) and Discourse Analysis in Language Studies (3 papers). Haiyang Ai is often cited by papers focused on Second Language Acquisition and Learning (4 papers), EFL/ESL Teaching and Learning (3 papers) and Discourse Analysis in Language Studies (3 papers). Haiyang Ai collaborates with scholars based in United States and China. Haiyang Ai's co-authors include Xiaofei Lu, Fengyang Ma, Jianda Liu, Xian Zhang, Hye K. Pae, Xiaoye You and Taomei Guo and has published in prestigious journals such as Journal of Second Language Writing, Language Testing and Quarterly Journal of Experimental Psychology.

In The Last Decade

Haiyang Ai

10 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haiyang Ai United States	6	197	130	105	105	78	11	308
Lee B. Abraham United States	5	169 0.9×	52 0.4×	70 0.7×	174 1.7×	64 0.8×	7	273
Aysel Sarıcaoğlu Türkiye	10	153 0.8×	69 0.5×	99 0.9×	158 1.5×	150 1.9×	16	323
Yosuke Sasao Japan	5	305 1.5×	180 1.4×	47 0.4×	184 1.8×	25 0.3×	7	362
Karina Vidal Spain	4	308 1.6×	118 0.9×	103 1.0×	264 2.5×	41 0.5×	7	405
Veerle Baaijen Netherlands	7	111 0.6×	45 0.3×	73 0.7×	63 0.6×	184 2.4×	10	250
Diana Mazgutova United Kingdom	4	172 0.9×	69 0.5×	111 1.1×	139 1.3×	96 1.2×	9	248
François Pichette Canada	8	147 0.7×	37 0.3×	55 0.5×	137 1.3×	68 0.9×	20	268
Vanessa De Wilde Belgium	8	189 1.0×	49 0.4×	149 1.4×	194 1.8×	45 0.6×	17	313
Heike B. Neumann Canada	9	124 0.6×	27 0.2×	120 1.1×	158 1.5×	83 1.1×	24	279
Ahmed Masrai Saudi Arabia	11	246 1.2×	97 0.7×	81 0.8×	153 1.5×	59 0.8×	29	329

Countries citing papers authored by Haiyang Ai

Since Specialization

Citations

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

Fields of papers citing papers by Haiyang Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyang Ai

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

11 of 11 papers shown

1.

Ai, Haiyang, et al.. (2022). “Please let me know”. 8(1). 1–30. 5 indexed citations

2.

Pae, Hye K., et al.. (2021). Linguocultural cognition manifested in spoken narratives in L2 English by native Chinese and Korean speakers. 5(3). 345–365.

3.

Pae, Hye K., et al.. (2021). The recognition of coordinative compound words by learners of Chinese as a foreign language: A mixed methods study. Foreign Language Annals. 54(4). 923–951. 3 indexed citations

4.

Ai, Haiyang. (2021). A Concept-based Approach to the Instruction of the Chinese ba-construction. 7(1). 1–32. 1 indexed citations

5.

Ma, Fengyang, et al.. (2020). Speech perception in a second language: Hearing is believing—seeing is not. Quarterly Journal of Experimental Psychology. 73(6). 881–890. 2 indexed citations

6.

Zhang, Xian, Jianda Liu, & Haiyang Ai. (2019). Pseudowords and guessing in the Yes/No format vocabulary test. Language Testing. 37(1). 6–30. 16 indexed citations

7.

Ma, Fengyang & Haiyang Ai. (2017). Chinese Learners of English See Chinese Words When Reading English Words. Journal of Psycholinguistic Research. 47(3). 505–521. 9 indexed citations

8.

Ai, Haiyang. (2017). Providing graduated corrective feedback in an intelligent computer-assisted language learning environment. ReCALL. 29(3). 313–334. 68 indexed citations

9.

Lu, Xiaofei & Haiyang Ai. (2015). Syntactic complexity in college-level English writing: Differences among writers with diverse L1 backgrounds. Journal of Second Language Writing. 29. 16–27. 197 indexed citations

10.

Ai, Haiyang & Xiaoye You. (2015). The grammatical features of English in a Chinese Internet discussion forum. World Englishes. 34(2). 211–230. 5 indexed citations

11.

Ai, Haiyang. (2012). The expression of stance in Mandarin Chinese: A corpus-based study of stance adverbs.. 22. 1–14. 2 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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