Cheng‐Yu Hung

551 total citations
24 papers, 395 citations indexed

About

Cheng‐Yu Hung is a scholar working on Developmental and Educational Psychology, Computer Networks and Communications and Human-Computer Interaction. According to data from OpenAlex, Cheng‐Yu Hung has authored 24 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Developmental and Educational Psychology, 6 papers in Computer Networks and Communications and 6 papers in Human-Computer Interaction. Recurrent topics in Cheng‐Yu Hung's work include Educational Games and Gamification (7 papers), Online Learning and Analytics (4 papers) and Virtual Reality Applications and Impacts (4 papers). Cheng‐Yu Hung is often cited by papers focused on Educational Games and Gamification (7 papers), Online Learning and Analytics (4 papers) and Virtual Reality Applications and Impacts (4 papers). Cheng‐Yu Hung collaborates with scholars based in Taiwan, China and United States. Cheng‐Yu Hung's co-authors include Jerry Chih‐Yuan Sun, Wei‐Ho Chung, Jiayin Liu, Pao-Ta Yu, Yi Zhang, Beilei Chen, Lin Mei, Shih‐Jou Yu, Yen‐Ting Lin and Ronald Y. Chang and has published in prestigious journals such as Computers & Education, International Journal of Science Education and Biotechnology Progress.

In The Last Decade

Cheng‐Yu Hung

23 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng‐Yu Hung Taiwan	10	177	126	92	88	53	24	395
Jože Rugelj Slovenia	11	176 1.0×	106 0.8×	82 0.9×	123 1.4×	18 0.3×	36	382
Reza Feyzi-Behnagh United States	8	155 0.9×	149 1.2×	88 1.0×	128 1.5×	18 0.3×	20	454
Mariluz Guenaga Spain	10	147 0.8×	83 0.7×	78 0.8×	227 2.6×	29 0.5×	44	442
Konstantinos Τ. Kotsis Greece	12	165 0.9×	291 2.3×	77 0.8×	117 1.3×	35 0.7×	153	593
Ahmad Zamzuri Mohamad Ali Malaysia	11	62 0.4×	101 0.8×	86 0.9×	30 0.3×	28 0.5×	74	363
Yuh-Ming Cheng Taiwan	9	75 0.4×	84 0.7×	65 0.7×	50 0.6×	20 0.4×	25	265
Amanda Strawhacker United States	10	143 0.8×	230 1.8×	129 1.4×	390 4.4×	14 0.3×	17	523
Kathleen Luchini United States	8	138 0.8×	76 0.6×	189 2.1×	73 0.8×	10 0.2×	12	312
Tsung-Yu Liu Taiwan	8	306 1.7×	222 1.8×	382 4.2×	95 1.1×	17 0.3×	20	736
Leandro Silva Galvão de Carvalho Brazil	11	94 0.5×	42 0.3×	90 1.0×	189 2.1×	45 0.8×	58	415

Countries citing papers authored by Cheng‐Yu Hung

Since Specialization

Citations

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

Fields of papers citing papers by Cheng‐Yu Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Yu Hung. 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 Cheng‐Yu Hung. The network helps show where Cheng‐Yu Hung may publish in the future.

Co-authorship network of co-authors of Cheng‐Yu Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Yu Hung. A scholar is included among the top collaborators of Cheng‐Yu Hung 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 Cheng‐Yu Hung. Cheng‐Yu Hung 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

Hung, Cheng‐Yu, et al.. (2025). The synergistic effects in an AI-supported online scientific argumentation learning environment. Computers & Education. 229. 105251–105251. 3 indexed citations

Hung, Cheng‐Yu, Yen‐Ting Lin, Shih‐Jou Yu, & Jerry Chih‐Yuan Sun. (2023). Effects of AR‐ and VR‐based wearables in teaching English: The application of an ARCS model‐based learning design to improve elementary school students' learning motivation and performance. Journal of Computer Assisted Learning. 39(5). 1510–1527. 19 indexed citations

Wang, Jue, et al.. (2022). Exploring the characteristics of an optimal design of non-programming plugged learning for developing primary school students’ computational thinking in mathematics. Educational Technology Research and Development. 70(3). 849–880. 17 indexed citations

Cai, Tingting, et al.. (2022). Exploring the Potential of Tangible and Multitouch Interfaces to Promote Learning Among Preschool Children. IEEE Transactions on Learning Technologies. 16(1). 66–77. 6 indexed citations

Kaur, Manpreet, Aura Ferreiro, Cheng‐Yu Hung, Gautam Dantas, & Anand K. Ramasubramanian. (2022). A low‐cost, high‐throughput microfluidic nano‐culture platform for functional metagenomics. Biotechnology Progress. 39(2). e3317–e3317. 1 indexed citations

Zhang, Liang, et al.. (2020). Linear Chirp Signal DOA Estimation Using Sparse Time–Frequency Dictionary. International Journal of Wireless Information Networks. 27(4). 568–574. 2 indexed citations

Saki, Forough, et al.. (2019). Open-set Evolving Acoustic Scene Classification System. Faculty Digital Archive (New York University Florence). 5 indexed citations

Li, Yixi, et al.. (2019). Multi-touch Technology in Education:Digital Simulation Improves Student Comprehension, Cognitive Concept, and Anxiety. 15. 241–244. 1 indexed citations

Zhang, Yi, et al.. (2018). When is the best time to use rubrics in flipped learning? A study on students’ learning achievement, metacognitive awareness, and cognitive load. Interactive Learning Environments. 27(8). 1207–1221. 32 indexed citations

10.

Hung, Cheng‐Yu, Jerry Chih‐Yuan Sun, & Jiayin Liu. (2018). Effects of flipped classrooms integrated with MOOCs and game-based learning on the learning motivation and outcomes of students from different backgrounds. Interactive Learning Environments. 27(8). 1028–1046. 63 indexed citations

11.

Hung, Cheng‐Yu, et al.. (2017). Exploring teachers’ meta-strategic knowledge of science argumentation teaching with the repertory grid technique. International Journal of Science Education. 39(2). 105–134. 10 indexed citations

12.

Hung, Cheng‐Yu, et al.. (2017). Collaborative Game-Based Learning with Motion-Sensing Technology. International Journal of Online Pedagogy and Course Design. 7(4). 53–64. 6 indexed citations

13.

Hung, Cheng‐Yu & M. Kaveh. (2015). Direction-finding based on the theory of super-resolution in sparse recovery algorithms. 1. 2404–2408. 2 indexed citations

14.

Hung, Cheng‐Yu, et al.. (2014). An Interactive Game Approach for Improving Students’ Learning Performance in Multi-Touch Game-Based Learning. IEEE Transactions on Learning Technologies. 7(1). 31–37. 33 indexed citations

15.

Hung, Cheng‐Yu, et al.. (2013). Parallelizing Complex Streaming Applications on Distributed Scratchpad Memory Multicore Architecture. International Journal of Parallel Programming. 42(6). 875–899. 1 indexed citations

16.

Chung, Wei‐Ho & Cheng‐Yu Hung. (2012). Multi-Antenna Selection Using Space Shift Keying in MIMO Systems. 1–5. 26 indexed citations

17.

Hung, Cheng‐Yu, Wei‐Ho Chung, Ronald Y. Chang, & Chiao-En Chen. (2012). A Monte Carlo MIMO detection scheme via random noise generation. 903–907. 2 indexed citations

18.

Hung, Cheng‐Yu, Ronald Y. Chang, & Wei‐Ho Chung. (2012). A Hybrid MMSE and K-Best Detection Scheme for MIMO Systems. 1–5. 8 indexed citations

19.

Hung, Cheng‐Yu, et al.. (2012). The Problem Solving Skills and Learning Performance in Learning Multi-Touch Interactive Jigsaw Game Using Digital Scaffolds. 33–38. 10 indexed citations

20.

Chang, Ronald Y., Wei‐Ho Chung, & Cheng‐Yu Hung. (2011). Efficient MIMO Detection Based on Eigenspace Search with Complexity Analysis. 24. 1–5. 1 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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