Da Yan

711 total citations · 1 hit paper
11 papers, 442 citations indexed

About

Da Yan is a scholar working on Education, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Da Yan has authored 11 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 3 papers in Health Informatics and 3 papers in Artificial Intelligence. Recurrent topics in Da Yan's work include Artificial Intelligence in Healthcare and Education (3 papers), Student Assessment and Feedback (3 papers) and Innovative Teaching and Learning Methods (2 papers). Da Yan is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Student Assessment and Feedback (3 papers) and Innovative Teaching and Learning Methods (2 papers). Da Yan collaborates with scholars based in China, Malaysia and Nepal. Da Yan's co-authors include Shuxian Zhang, Junyue Wang, Yu Gao, Jinhui Li and Haitao Li and has published in prestigious journals such as PLoS ONE, Energy and Buildings and Frontiers in Psychology.

In The Last Decade

Da Yan

10 papers receiving 423 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation

2023 384 citations Da Yan Education and Information Technologies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Da Yan China	7	217	198	143	61	54	11	442
Yanfang Su Hong Kong	4	185 0.9×	133 0.7×	98 0.7×	78 1.3×	87 1.6×	7	342
Jamal Kaid Mohammed Ali Saudi Arabia	9	222 1.0×	190 1.0×	127 0.9×	115 1.9×	54 1.0×	35	505
Yun Lin China	3	171 0.8×	129 0.7×	92 0.6×	63 1.0×	57 1.1×	6	302
Waverly Tseng United States	5	150 0.7×	108 0.5×	105 0.7×	76 1.2×	72 1.3×	6	348
Diyenti Rusdin Indonesia	4	122 0.6×	90 0.5×	98 0.7×	98 1.6×	42 0.8×	9	327
Marie Alina Yeo Singapore	6	67 0.3×	99 0.5×	86 0.6×	62 1.0×	27 0.5×	18	282
Darwin Darwin Indonesia	3	114 0.5×	83 0.4×	93 0.7×	90 1.5×	39 0.7×	8	308
Masaki Eguchi United States	8	260 1.2×	97 0.5×	83 0.6×	59 1.0×	142 2.6×	24	442
Fawzi Ishtaiwa United Arab Emirates	6	62 0.3×	64 0.3×	51 0.4×	86 1.4×	43 0.8×	17	236
Ibtehal Mahmoud Aburezeq United Arab Emirates	5	62 0.3×	64 0.3×	50 0.3×	86 1.4×	42 0.8×	30	239

Countries citing papers authored by Da Yan

Since Specialization

Citations

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

Fields of papers citing papers by Da Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Yan

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

11 of 11 papers shown

1.

Yan, Da, et al.. (2025). Automated feedback complements online dialogic peer feedback: fostering L2 writers’ feedback quality and self-regulatory writing strategy use. Interactive Learning Environments. 33(10). 6021–6035. 1 indexed citations

2.

Yan, Da, et al.. (2025). A GenAI-supported dialogic model to enhance the functions of peer feedback in EFL writing: a mixed-method interventional study. System. 136. 103895–103895.

3.

Yan, Da, et al.. (2025). Development and evaluation of cooling tower performance prediction using physics-informed neural networks. Energy and Buildings. 345. 116101–116101. 1 indexed citations

4.

Yan, Da. (2024). Comparing individual vs. collaborative processing of ChatGPT-generated feedback: Effects on L2 writing task improvement and learning. Language learning & technology. 28(1). 1–19. 7 indexed citations

5.

Yan, Da & Shuxian Zhang. (2024). L2 writer engagement with automated written corrective feedback provided by ChatGPT: A mixed-method multiple case study. Humanities and Social Sciences Communications. 11(1). 13 indexed citations

6.

Yan, Da. (2024). Feedback seeking abilities of L2 writers using ChatGPT: a mixed method multiple case study. Kybernetes. 54(7). 3757–3781. 12 indexed citations

7.

Yan, Da. (2024). Rubric co-creation to promote quality, interactivity and uptake of peer feedback. Assessment & Evaluation in Higher Education. 49(8). 1017–1034. 4 indexed citations

8.

Yan, Da, et al.. (2023). The impact of Danmaku-based and synchronous peer feedback on L2 oral performance: A mixed-method investigation. PLoS ONE. 18(4). e0284843–e0284843. 8 indexed citations

9.

Yan, Da. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies. 28(11). 13943–13967. 384 indexed citations breakdown →

10.

Yan, Da & Junyue Wang. (2022). Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course. Frontiers in Psychology. 13. 939689–939689. 6 indexed citations

11.

Yan, Da, et al.. (2022). Online informal learning community for interpreter training amid COVID-19: A pilot evaluation. PLoS ONE. 17(11). e0277228–e0277228. 6 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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