Owen H.T. Lu

1.7k total citations · 2 hit papers
21 papers, 970 citations indexed

About

Owen H.T. Lu is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Owen H.T. Lu has authored 21 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Science Applications, 10 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Owen H.T. Lu's work include Online Learning and Analytics (14 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Innovative Teaching and Learning Methods (3 papers). Owen H.T. Lu is often cited by papers focused on Online Learning and Analytics (14 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Innovative Teaching and Learning Methods (3 papers). Owen H.T. Lu collaborates with scholars based in Taiwan and Japan. Owen H.T. Lu's co-authors include Anna Y.Q. Huang, Stephen J.H. Yang, Jeff Huang, Hiroaki Ogata, Chengjiu Yin, Jerry Chou, Yu-Lin Jeng, Irene Y.L. Chen, Shaoyu Wang and Wan-Sheng Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.

In The Last Decade

Owen H.T. Lu

20 papers receiving 919 citations

Hit Papers

align trajectories sort by overperformance

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.

Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom

2022 266 citations Anna Y.Q. Huang, Owen H.T. Lu et al. Computers & Education profile →
Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review

2023 151 citations Anna Y.Q. Huang, Owen H.T. Lu et al. Smart Learning Environments profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Owen H.T. Lu Taiwan	10	603	307	294	202	172	21	970
Maren Scheffel Germany	18	801 1.3×	367 1.2×	219 0.7×	179 0.9×	303 1.8×	56	1.1k
Rafael Ferreira Mello Brazil	16	465 0.8×	309 1.0×	321 1.1×	163 0.8×	167 1.0×	116	893
Rianne Conijn Netherlands	11	417 0.7×	351 1.1×	171 0.6×	135 0.7×	188 1.1×	29	784
Linda Corrin Australia	18	727 1.2×	466 1.5×	146 0.5×	176 0.9×	186 1.1×	63	1.2k
Sharon Slade South Africa	18	886 1.5×	300 1.0×	300 1.0×	200 1.0×	87 0.5×	43	1.3k
Doug Clow United Kingdom	14	1.1k 1.9×	499 1.6×	207 0.7×	184 0.9×	216 1.3×	30	1.4k
Kimberly E. Arnold United States	10	979 1.6×	411 1.3×	251 0.9×	159 0.8×	178 1.0×	14	1.2k
Vanessa Echeverría Australia	17	394 0.7×	169 0.6×	186 0.6×	119 0.6×	237 1.4×	60	791
Wolfgang Greller Austria	10	651 1.1×	232 0.8×	164 0.6×	150 0.7×	142 0.8×	25	875
Pedro Manuel Moreno-Marcos Spain	13	582 1.0×	194 0.6×	188 0.6×	135 0.7×	76 0.4×	32	727

Countries citing papers authored by Owen H.T. Lu

Since Specialization

Citations

This map shows the geographic impact of Owen H.T. Lu'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 Owen H.T. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen H.T. Lu more than expected).

Fields of papers citing papers by Owen H.T. Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen H.T. Lu. 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 Owen H.T. Lu. The network helps show where Owen H.T. Lu may publish in the future.

Co-authorship network of co-authors of Owen H.T. Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Owen H.T. Lu. A scholar is included among the top collaborators of Owen H.T. Lu 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 Owen H.T. Lu. Owen H.T. Lu 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

Lu, Owen H.T.. (2024). A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings. Expert Systems with Applications. 254. 124297–124297. 1 indexed citations

Yang, Stephen J.H., et al.. (2023). AI and Big Data in Education: Learning Patterns Identification and Intervention Leads to Performance Enhancement. 3(1). Inv–p002. 2 indexed citations

Huang, Anna Y.Q., et al.. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learning Environments. 10(1). 151 indexed citations breakdown →

Huang, Anna Y.Q., Owen H.T. Lu, & Stephen J.H. Yang. (2022). Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom. Computers & Education. 194. 104684–104684. 266 indexed citations breakdown →

Lu, Owen H.T., et al.. (2021). Expert-Authored and Machine-Generated Short-Answer Questions for Assessing Students’ Learning Performance. SHILAP Revista de lepidopterología. 28 indexed citations

Huang, Anna Y.Q., et al.. (2021). Exploring Learning Strategies by Sequence Clustering and Analysing their Correlation with Student's Engagement and Learning Outcome. 360–362. 4 indexed citations

Lu, Owen H.T., Anna Y.Q. Huang, & Stephen J.H. Yang. (2020). Impact of teachers’ grading policy on the identification of at-risk students in learning analytics. Computers & Education. 163. 104109–104109. 19 indexed citations

Lu, Owen H.T., et al.. (2020). Sequence pattern mining for the identification of reading behavior based on SQ3R reading strategy. 307–311. 1 indexed citations

Huang, Anna Y.Q., et al.. (2020). Using sequence clustering to unveil students' learning strategies and explore the relationship with cognitive load. 267–271. 1 indexed citations

10.

Huang, Anna Y.Q., et al.. (2020). The Implementation of Precision Education for Learning Analytics. 327–332. 4 indexed citations

11.

Huang, Anna Y.Q., Owen H.T. Lu, Jeff Huang, Chengjiu Yin, & Stephen J.H. Yang. (2019). Predicting students’ academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs. Interactive Learning Environments. 28(2). 206–230. 78 indexed citations

12.

Huang, Jeff, et al.. (2018). Exploring the effects of online learning behaviors on short-term and long-term learning outcomes in flipped classrooms. Interactive Learning Environments. 27(8). 1160–1177. 47 indexed citations

13.

Yang, Stephen J.H., et al.. (2018). Predicting Students' Academic Performance Using Multiple Linear Regression and Principal Component Analysis. Journal of Information Processing. 26(0). 170–176. 48 indexed citations

14.

Lu, Owen H.T., Anna Y.Q. Huang, & Stephen J.H. Yang. (2018). Benchmarking and tuning regression algorithms on predicting students’academic performance. 477–486. 1 indexed citations

15.

Lu, Owen H.T., et al.. (2018). Applying learning analytics for the early prediction of students' academic performance in blended learning. 21(2). 220–232. 160 indexed citations

16.

Wang, Shaoyu, et al.. (2017). Examining the Trend of Taiwan Primary and High School Scientific Exhibition by Using Text Mining Technique. 477–481.

17.

Lu, Owen H.T., et al.. (2017). Using Deep Learning to Predict and Optimize Hadoop Data Analytic Service in a Cloud Platform. 909–916. 5 indexed citations

18.

Jeng, Yu-Lin, et al.. (2017). The Development of the Mobile Situated Learning Application Based on Microlocation Technology. 715–718. 2 indexed citations

19.

Lu, Owen H.T., Jeff Huang, Anna Y.Q. Huang, & Stephen J.H. Yang. (2017). Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course. Interactive Learning Environments. 25(2). 220–234. 136 indexed citations

20.

Lu, Owen H.T., et al.. (2016). Early-Stage Engagement: Applying Big Data Analytics on Collaborative Learning Environment for Measuring Learners' Engagement Rate. 106–110. 4 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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