Haiyang Ai

662 citations
11 papers · 308 indexed · h-index 6
Topics
Second Language Acquisition and Learning (4 papers)EFL/ESL Teaching and Learning (3 papers)Discourse Analysis in Language Studies (3 papers)
Partner nations
United StatesChina

In The Last Decade

Haiyang Ai

10 papers receiving 291 citations

Peers

Haiyang Ai
Comparison fields: 5 of 37
  • Developmental and Educational Psychology 197
  • Artificial Intelligence 130
  • Literature and Literary Theory 105
  • Language and Linguistics 105
  • Education 78
Replace Aysel Sarıcaoğlu with:
Aysel Sarıcaoğlu Türkiye
Lee B. Abraham United States
Yosuke Sasao Japan
Diana Mazgutova United Kingdom
Hesamoddin Shahriari Iran
Vanessa De Wilde Belgium
Heike B. Neumann Canada
François Pichette Canada
Veerle Baaijen Netherlands
Ahmed Masrai Saudi Arabia
Haiyang Ai relative to Aysel Sarıcaoğlu Türkiye Aysel Sarıcaoğlu's profile →
Citations per field
00.5×1.5×1.9×
Aysel Sarıcaoğlu · 1×
Citations per year

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

11 of 11 papers shown
#WorkIndexed citations
1 5
2 0
3 3
4 1
5 2
6 16
7 9
8 68
9 197
10 5
11
The expression of stance in Mandarin Chinese: A corpus-based study of stance adverbs.
2

About Haiyang Ai

Haiyang Ai is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Linguistics and Language, having authored 11 papers that have together received 308 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (4 papers), EFL/ESL Teaching and Learning (3 papers) and Discourse Analysis in Language Studies (3 papers). The work is most often cited by research in Developmental and Educational Psychology (197 citations), Language and Linguistics (105 citations) and Literature and Literary Theory (105 citations). Haiyang Ai has collaborated with scholars based in United States and China. Frequent co-authors include Xiaofei Lu, Fengyang Ma, Jianda Liu, Xian Zhang, Hye K. Pae, Xiaoye You and Taomei Guo. Their work appears in journals such as Journal of Second Language Writing, Language Testing and Quarterly Journal of Experimental Psychology.

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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