Xiaoming Zhaı

5.1k total citations · 3 hit papers
87 papers, 3.0k citations indexed

About

Xiaoming Zhaı is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Xiaoming Zhaı has authored 87 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Education, 27 papers in Computer Science Applications and 21 papers in Developmental and Educational Psychology. Recurrent topics in Xiaoming Zhaı's work include Online Learning and Analytics (24 papers), Innovative Teaching and Learning Methods (13 papers) and Science Education and Pedagogy (13 papers). Xiaoming Zhaı is often cited by papers focused on Online Learning and Analytics (24 papers), Innovative Teaching and Learning Methods (13 papers) and Science Education and Pedagogy (13 papers). Xiaoming Zhaı collaborates with scholars based in United States, China and Canada. Xiaoming Zhaı's co-authors include Yue Yin, Roxana Hadad, Qiao Lin, Xiaodan Tang, Lehong Shi, Kevin C. Haudek, Ross H. Nehm, Ehsan Latif, Zhendong You and Bradley R. Hacker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biophysical Journal and Computers in Human Behavior.

In The Last Decade

Xiaoming Zhaı

78 papers receiving 2.8k 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.

ChatGPT User Experience: Implications for Education

2022 537 citations Xiaoming Zhaı SSRN Electronic Journal profile →
Assessing computational thinking: A systematic review of empirical studies

2020 418 citations Xiaoming Zhaı et al. profile →
Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education

2025 25 citations Arne Bewersdorff, Xiaoming Zhaı et al. profile →

Peers

Xiaoming Zhaı

CSA

AI

EDUCA

HI

DEP

Xieling Chen Hong Kong

Urs Gasser United States

Emily M. Bender United States

Angelina McMillan-Major United States

Jie Hu China

Charles Xie United States

Ilkka Tuomi Finland

Shirley Williams United Kingdom

Nayeon Lee Hong Kong

Philipp Geyer Germany

Xieling Chen Hong Kong

Xiaoming Zhaı

816 ×0.7

CSA

791 ×0.8

AI

509 ×0.9

EDUCA

244 ×0.4

HI

305 ×0.5

DEP

Citations per year, relative to Xiaoming Zhaı Xiaoming Zhaı (= 1×) peers Xieling Chen

Countries citing papers authored by Xiaoming Zhaı

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoming Zhaı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Zhaı

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

1.

Lee, Gyeong-Geon & Xiaoming Zhaı. (2025). NERIF: GPT-4V for Automatic Scoring of Drawn Models. Journal of Science Education and Technology.

2.

Tian, Jie, Libin Yang, Xianyan Chen, et al.. (2025). CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework.

3.

Latif, Ehsan, et al.. (2025). Fine-Tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese. Journal of Science Education and Technology. 34(4). 719–736. 4 indexed citations

4.

Lee, Gyeong-Geon, et al.. (2025). Using GPT‐4 to Augment Imbalanced Data for Automatic Scoring. Journal of Educational Measurement. 62(4). 959–995.

5.

Nyaaba, Matthew, et al.. (2024). Generative AI for Culturally Responsive Science Assessment: A Conceptual Framework. Education Sciences. 14(12). 1325–1325. 4 indexed citations

6.

Jong, Morris Siu–Yung, Xiaoming Zhaı, & Weiqin Chen. (2024). Innovative Uses of Technologies in Science, Mathematics and STEM Education in K-12 Contexts. International Journal of Science and Mathematics Education. 22(S1). 1–9. 5 indexed citations

7.

Zheng, Yuanyuan, et al.. (2024). Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis. Education and Information Technologies. 29(13). 16387–16409. 40 indexed citations

8.

Zhaı, Xiaoming. (2024). Commentary: AI and Formative Assessment—The Train Has Left the Station (Poster 10).

9.

Samala, Agariadne Dwinggo, et al.. (2024). An In-Depth Review of ChatGPT’s Pros and Cons for Learning and Teaching in Education. International Journal of Interactive Mobile Technologies (iJIM). 18(2). 96–117. 24 indexed citations

10.

Wilson, Christopher D., Kevin C. Haudek, Jonathan Osborne, et al.. (2023). Using automated analysis to assess middle school students' competence with scientific argumentation. Journal of Research in Science Teaching. 61(1). 38–69. 24 indexed citations

11.

Bewersdorff, Arne, Xiaoming Zhaı, Jessica Roberts, & Claudia Nerdel. (2023). Myths, mis- and preconceptions of artificial intelligence: A review of the literature. Computers and Education Artificial Intelligence. 4. 100143–100143. 61 indexed citations

12.

Haudek, Kevin C. & Xiaoming Zhaı. (2023). Examining the Effect of Assessment Construct Characteristics on Machine Learning Scoring of Scientific Argumentation. International Journal of Artificial Intelligence in Education. 34(4). 1482–1509. 11 indexed citations

13.

Zhaı, Xiaoming. (2023). ChatGPT for Next Generation Science Learning. SSRN Electronic Journal. 34 indexed citations

14.

Zhaı, Xiaoming, Matthew Nyaaba, & Wenchao Ma. (2023). Can AI Outperform Humans on Cognitive-demanding Tasks in Science?. SSRN Electronic Journal. 6 indexed citations

15.

Zhaı, Xiaoming, et al.. (2023). Artificial Intelligence-based Scientific Inquiry. SSRN Electronic Journal. 6 indexed citations

16.

Zhaı, Xiaoming. (2022). ChatGPT User Experience: Implications for Education. SSRN Electronic Journal. 537 indexed citations breakdown →

17.

Zhaı, Xiaoming, Barbara Schneider, & Joseph Krajcik. (2020). Motivating preservice physics teachers to low-socioeconomic status schools. Physical Review Physics Education Research. 16(2). 4 indexed citations

18.

Zhaı, Xiaoming, Kevin C. Haudek, Molly A. M. Stuhlsatz, & Christopher D. Wilson. (2020). Evaluation of construct-irrelevant variance yielded by machine and human scoring of a science teacher PCK constructed response assessment. Studies In Educational Evaluation. 67. 100916–100916. 27 indexed citations

19.

Zhaı, Xiaoming, Yang Yang, Jianmei Wan, Ran Zhu, & Yiwei Wu. (2013). Inhibition of LDH-A by oxamate induces G2/M arrest, apoptosis and increases radiosensitivity in nasopharyngeal carcinoma cells. Oncology Reports. 30(6). 2983–2991. 138 indexed citations

20.

Koppaka, Vishwanath, et al.. (1997). Roles of factor Va heavy and light chains in protein and lipid rearrangements associated with the formation of a bovine factor Va-membrane complex. Biophysical Journal. 73(5). 2638–2652. 14 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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