Qiao Lin

772 total citations · 1 hit paper
9 papers, 558 citations indexed

About

Qiao Lin is a scholar working on Computer Science Applications, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Qiao Lin has authored 9 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 3 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Qiao Lin's work include Teaching and Learning Programming (5 papers), Online Learning and Analytics (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). Qiao Lin is often cited by papers focused on Teaching and Learning Programming (5 papers), Online Learning and Analytics (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). Qiao Lin collaborates with scholars based in United States and China. Qiao Lin's co-authors include Xiaodan Tang, Roxana Hadad, Yue Yin, Xiaoming Zhaı, Yoon Soo Park, Ning Ye, Yerim Kim and James A. Swartz and has published in prestigious journals such as PLoS ONE, Computers & Education and Frontiers in Psychology.

In The Last Decade

Qiao Lin

8 papers receiving 545 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.

Assessing computational thinking: A systematic review of empirical studies

2020 418 citations Xiaodan Tang, Yue Yin et al. Computers & Education profile →

Peers

Countries citing papers authored by Qiao Lin

Since Specialization

Citations

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

Fields of papers citing papers by Qiao Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Qiao Lin. A scholar is included among the top collaborators of Qiao Lin 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 Qiao Lin. Qiao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	A measurement invariance analysis of selected Opioid Overdose Knowledge Scale (OOKS) items among bystanders and first responders 2022 ·PLoS ONE ·James A. Swartz, Qiao Lin, Yerim Kim	0
2	Evaluating Modes of Observations Using Hierarchical Signal Detection Rater Models 2022 ·Multivariate Behavioral Research ·Yoon Soo Park, Qiao Lin, (unknown)	1
3	Measuring Skill Growth and Evaluating Change: Unconditional and Conditional Approaches to Latent Growth Cognitive Diagnostic Models 2020 ·Frontiers in Psychology ·Qiao Lin, (unknown), Yoon Soo Park	7
4	Assessing learning in technology-rich maker activities: A systematic review of empirical research 2020 ·Computers & Education ·Qiao Lin, Yue Yin, Xiaodan Tang, Roxana Hadad, Xiaoming Zhaı	59
5	Assessing computational thinking: A systematic review of empirical studies breakdown → 2020 ·Computers & Education ·Xiaodan Tang, Yue Yin, Qiao Lin, Roxana Hadad, Xiaoming Zhaı	418
6	Correction to: Improving and Assessing Computational Thinking in Maker Activities: the Integration with Physics and Engineering Learning 2020 ·Journal of Science Education and Technology ·Yue Yin, Roxana Hadad, Xiaodan Tang, Qiao Lin	4
7	Improving and Assessing Computational Thinking in Maker Activities: the Integration with Physics and Engineering Learning 2019 ·Journal of Science Education and Technology ·Yue Yin, Roxana Hadad, Xiaodan Tang, Qiao Lin	64
8	Making Computational Thinking Evident: A Validation Study of a Computational Thinking Test. 2018 ·Xiaodan Tang, (unknown), Qiao Lin, Roxana Hadad	3
9	A method of cleaning RFID data streams based on Naive Bayes classifier 2016 ·International Journal of Ad Hoc and Ubiquitous Computing ·Qiao Lin, (unknown), Ning Ye, (unknown)	2

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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