Qiang Hao

594 total citations
22 papers, 403 citations indexed

About

Qiang Hao is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Qiang Hao has authored 22 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 11 papers in Computer Science Applications and 9 papers in Developmental and Educational Psychology. Recurrent topics in Qiang Hao's work include Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (8 papers) and Online and Blended Learning (8 papers). Qiang Hao is often cited by papers focused on Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (8 papers) and Online and Blended Learning (8 papers). Qiang Hao collaborates with scholars based in United States, Hong Kong and Canada. Qiang Hao's co-authors include Jingyan Lu, Ewan Wright, Robert Maribe Branch, David H. Smith, Michail Tsikerdekis, Amy J. Ko, Lu Ding, Christopher Hundhausen, Filip Jagodzinski and A. S. Peterson and has published in prestigious journals such as Computers in Human Behavior, Future Generation Computer Systems and British Journal of Educational Technology.

In The Last Decade

Qiang Hao

20 papers receiving 379 citations

Peers

Qiang Hao

CSA

EDUCA

DEP

IS

SPS

Betül Czerkawski United States

Mart Laanpere Estonia

M. Brooke Robertshaw United States

Nesrin Özdener Türkiye

Mai Neo Malaysia

Maria Kordaki Greece

Sarah Gretter United States

Isabel Hilliger Chile

Amanda Wilson United Kingdom

Heeok Heo South Korea

Betül Czerkawski United States

Qiang Hao

241 ×1.3

CSA

217 ×1.4

EDUCA

137 ×1.1

DEP

90 ×1.1

IS

31 ×0.5

SPS

Citations per year, relative to Qiang Hao Qiang Hao (= 1×) peers Betül Czerkawski

Countries citing papers authored by Qiang Hao

Since Specialization

Citations

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

Fields of papers citing papers by Qiang Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Hao

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

All Works

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20 of 20 papers shown

1.

Hao, Qiang, et al.. (2024). Exploring Differences in Planning between Students with and without Prior Experience in Programming. Papers on Engineering Education Repository (American Society for Engineering Education).

2.

Hao, Qiang, et al.. (2024). Early Identification of Struggling Students in Large Computer Science Courses: A Replication Study. 35. 88–93.

3.

Hao, Qiang, et al.. (2022). Early Identification of Student Struggles at the Topic Level Using Context-Agnostic Features. 147–153. 8 indexed citations

4.

Hao, Qiang, et al.. (2021). Towards understanding the effective design of automated formative feedback for programming assignments. Computer Science Education. 32(1). 105–127. 35 indexed citations

5.

Hao, Qiang, et al.. (2021). In Situ Identification of Student Self-Regulated Learning Struggles in Programming Assignments. 467–473. 17 indexed citations

6.

Smith, David H., et al.. (2021). Towards Modeling Student Engagement with Interactive Computing Textbooks. 914–920. 12 indexed citations

7.

Smith, David H., et al.. (2020). Towards Understanding Online Question & Answer Interactions and their effects on student performance in large-scale STEM classes. International Journal of Educational Technology in Higher Education. 17(1). 19 indexed citations

8.

Hao, Qiang, et al.. (2020). Quantifying the effects of active learning environments: separating physical learning classrooms from pedagogical approaches. Learning Environments Research. 24(1). 109–122. 24 indexed citations

9.

Smith, David H., et al.. (2019). Quantifying the Effects of Prior Knowledge in Entry-Level Programming Courses. 30–36. 13 indexed citations

10.

Hao, Qiang, et al.. (2019). On the Effects of Active Learning Environments in Computing Education. 267–272. 22 indexed citations

11.

Hao, Qiang & Michail Tsikerdekis. (2019). How Automated Feedback is Delivered Matters: Formative Feedback and Knowledge Transfer. 1–6. 10 indexed citations

12.

Hao, Qiang, et al.. (2018). Effects of Active Learning Environments and Instructional Methods in Computer Science Education. 934–939. 16 indexed citations

13.

Li, Junnan, Zhihui Lu, Wei Zhang, et al.. (2018). SERAC3: Smart and economical resource allocation for big data clusters in community clouds. Future Generation Computer Systems. 85. 210–221. 12 indexed citations

14.

Hao, Qiang, et al.. (2017). Predicting computer science students’ online help-seeking tendencies. Knowledge Management & E-Learning An International Journal. 19–32. 12 indexed citations

15.

Hao, Qiang. (2017). Online help seeking in computer science education. 1 indexed citations

16.

Hao, Qiang, et al.. (2016). The Effect of Precommitment on Student Achievement Within a Technology-Rich Project-Based Learning Environment. TechTrends. 60(5). 442–448. 8 indexed citations

17.

Hao, Qiang, et al.. (2016). What are the most important predictors of computer science students' online help-seeking behaviors?. Computers in Human Behavior. 62. 467–474. 39 indexed citations

18.

Hao, Qiang, et al.. (2016). Predicting College Students' online help-seeking behavior: the effect of learning proficiency, interest, prior knowledge, epistemological belief, and problem difficulty. Western CEDAR (Western Washington University). 1 indexed citations

19.

Hao, Qiang, et al.. (2016). The influence of achievement goals on online help seeking of computer science students. British Journal of Educational Technology. 48(6). 1273–1283. 27 indexed citations

20.

Lu, Jingyan & Qiang Hao. (2014). What factors impact on primary school students’ online engagement for learning and entertainment at home. Journal of Computers in Education. 1(2-3). 133–150. 12 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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