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.
Review of research on mobile language learning in authentic environments
2017167 citationsRustam Shadiev, Wu‐Yuin Hwang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Wu‐Yuin Hwang'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 Wu‐Yuin Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu‐Yuin Hwang more than expected).
This network shows the impact of papers produced by Wu‐Yuin Hwang. 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 Wu‐Yuin Hwang. The network helps show where Wu‐Yuin Hwang may publish in the future.
Co-authorship network of co-authors of Wu‐Yuin Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Wu‐Yuin Hwang.
A scholar is included among the top collaborators of Wu‐Yuin Hwang 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 Wu‐Yuin Hwang. Wu‐Yuin Hwang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hwang, Wu‐Yuin, et al.. (2021). Exploring Effects of Geometry Learning in Authentic Contexts Using Ubiquitous Geometry App. SHILAP Revista de lepidopterología.3 indexed citations
Shadiev, Rustam, et al.. (2018). A study of the use of wearable devices for Healthy and enjoyable English as a Foreign language learning in authentic contexts. Educational Technology & Society. 21(4). 217–231.31 indexed citations
14.
Ghinea, Gheorghiță, et al.. (2018). Enhanced Agility of E-Learning Adoption in High Schools. Educational Technology & Society. 21(4). 157–170.12 indexed citations
15.
Hwang, Wu‐Yuin, et al.. (2015). The factors and impacts of large-scale digital content accreditations. Educational Technology & Society. 18(3). 29–48.
16.
Hwang, Wu‐Yuin, et al.. (2010). A study of speech to text recognition and its effect to synchronous learning. EdMedia: World Conference on Educational Media and Technology. 2010(1). 546–555.9 indexed citations
17.
Hwang, Wu‐Yuin, et al.. (2009). Intra-Action, Interaction and Outeraction in Blended Learning Environments.. Educational Technology & Society. 12(2). 222–239.10 indexed citations
18.
Hwang, Wu‐Yuin, Chin‐Yu Wang, & Mike Sharples. (2005). A Study of Multimedia Annotation of Web-Based Materials. EdMedia: World Conference on Educational Media and Technology. 2005(1). 4272–4280.1 indexed citations
19.
Han, Seon Gyu, et al.. (1999). Polymeric 1x16 Arrayed Waveguide Grating Multiplexer Using Fluorinated Poly(Arylene Ethers) at 1550 nm. IEICE Transactions on Communications. 82(2). 406–408.5 indexed citations
20.
Hwang, Wu‐Yuin, et al.. (1996). Development of 2.2-/spl mu/m InGaAs photodetectors using molecular beam epitaxy. Conference on Lasers and Electro-Optics. 198–199.1 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.