Jung‐Ying Wang

680 total citations
25 papers, 484 citations indexed

About

Jung‐Ying Wang is a scholar working on Artificial Intelligence, Molecular Biology and Education. According to data from OpenAlex, Jung‐Ying Wang has authored 25 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Education. Recurrent topics in Jung‐Ying Wang's work include Protein Structure and Dynamics (5 papers), Artificial Intelligence in Games (5 papers) and Online Learning and Analytics (4 papers). Jung‐Ying Wang is often cited by papers focused on Protein Structure and Dynamics (5 papers), Artificial Intelligence in Games (5 papers) and Online Learning and Analytics (4 papers). Jung‐Ying Wang collaborates with scholars based in Taiwan, Japan and India. Jung‐Ying Wang's co-authors include Chih‐Ming Chen, Shandar Ahmad, Yen‐Chang Chen, Akinori Sarai, M. Michael Gromiha, Chih‐Jen Lin, Jenn‐Kang Hwang, Chin‐Sheng Yu, Jinn‐Moon Yang and Yu-Chieh Lin and has published in prestigious journals such as Proteins Structure Function and Bioinformatics, Biopolymers and British Journal of Educational Technology.

In The Last Decade

Jung‐Ying Wang

25 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung‐Ying Wang Taiwan 12 99 94 92 89 79 25 484
Daniel Eaton Japan 6 56 0.6× 348 3.7× 31 0.3× 61 0.7× 69 0.9× 8 676
Pamela B. Lawhead United States 12 50 0.5× 49 0.5× 23 0.3× 81 0.9× 153 1.9× 28 383
Eduardo Sánchez Spain 8 50 0.5× 66 0.7× 25 0.3× 27 0.3× 68 0.9× 39 288
Bill Manaris United States 13 148 1.5× 152 1.6× 19 0.2× 74 0.8× 198 2.5× 66 650
Emily Prud’hommeaux United States 14 195 2.0× 447 4.8× 76 0.8× 139 1.6× 27 0.3× 55 779
Le An Ha United Kingdom 13 126 1.3× 487 5.2× 27 0.3× 49 0.6× 46 0.6× 36 701
Benoı̂t Lemaire France 16 282 2.8× 285 3.0× 12 0.1× 129 1.4× 34 0.4× 50 674
Vijayalakshmi Ramasamy United States 8 96 1.0× 47 0.5× 11 0.1× 27 0.3× 43 0.5× 41 286
Mathieu Koppen Netherlands 12 166 1.7× 318 3.4× 10 0.1× 109 1.2× 62 0.8× 27 627
Enkhbold Nyamsuren Netherlands 10 64 0.6× 184 2.0× 12 0.1× 86 1.0× 24 0.3× 28 377

Countries citing papers authored by Jung‐Ying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Ying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Ying Wang. 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 Jung‐Ying Wang. The network helps show where Jung‐Ying Wang may publish in the future.

Co-authorship network of co-authors of Jung‐Ying Wang

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

All Works

20 of 20 papers shown
1.
Chen, Chih‐Ming, Jung‐Ying Wang, & Li-Chieh Hsu. (2021). An interactive test dashboard with diagnosis and feedback mechanisms to facilitate learning performance. Computers and Education Artificial Intelligence. 2. 100015–100015. 8 indexed citations
2.
Chen, Chih‐Ming, Jung‐Ying Wang, & Yu-Chieh Lin. (2019). A visual interactive reading system based on eye tracking technology to improve digital reading performance. The Electronic Library. 37(4). 680–702. 12 indexed citations
3.
4.
Wang, Jung‐Ying. (2018). Classification of Humans and Bots in Two Typical Two-player Computer Games. 502–505. 3 indexed citations
5.
Chen, Chih‐Ming, et al.. (2017). Enhancement of English learning performance by using an attention-based diagnosing and review mechanism in paper-based learning context with digital pen support. Universal Access in the Information Society. 18(1). 141–153. 14 indexed citations
6.
Wang, Jung‐Ying. (2016). Designing Brain Training Games and Evaluating the Usability between Young and Elderly. 308–312. 4 indexed citations
7.
Chen, Chih‐Ming, et al.. (2015). Assessing the attention levels of students by using a novel attention aware system based on brainwave signals. British Journal of Educational Technology. 48(2). 348–369. 100 indexed citations
8.
Wang, Jung‐Ying. (2015). A variety weapons and armors design algorithm for role-playing games. 1–5. 1 indexed citations
9.
Chen, Chih‐Ming, Jung‐Ying Wang, & Yen‐Chang Chen. (2014). Facilitating English-Language Reading Performance by a Digital Reading Annotation System with Self-Regulated Learning Mechanisms. Educational Technology & Society. 17(1). 102–114. 50 indexed citations
10.
Chen, Chih‐Ming, et al.. (2014). Forecasting reading anxiety for promoting English-language reading performance based on reading annotation behavior. Interactive Learning Environments. 24(4). 681–705. 21 indexed citations
11.
Wang, Jung‐Ying, et al.. (2013). Dynamic difficulty adjustment by fuzzy rules using in a neural network controlled game. 277–281. 4 indexed citations
12.
Ahmad, Shandar, Jung‐Ying Wang, Zulfiqar Ahmad, & Faizan Ahmad. (2011). Functional Residues in Proteins. PubMed. 2011. 1–1. 2 indexed citations
13.
Wang, Jung‐Ying, et al.. (2009). Recognition of Human Actions Using Motion Capture Data and Support Vector Machine. 234–238. 10 indexed citations
14.
Wang, Jung‐Ying, et al.. (2007). SVM‐Cabins: Prediction of solvent accessibility using accumulation cutoff set and support vector machine. Proteins Structure Function and Bioinformatics. 68(1). 82–91. 21 indexed citations
15.
Wang, Jung‐Ying, et al.. (2005). Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regression. Proteins Structure Function and Bioinformatics. 61(3). 481–491. 32 indexed citations
16.
Wang, Jung‐Ying, et al.. (2005). Model selection of SVMs using GA approach. 3. 2035–2040. 40 indexed citations
17.
Wang, Jung‐Ying, Shandar Ahmad, M. Michael Gromiha, & Akinori Sarai. (2004). Look‐up tables for protein solvent accessibility prediction and nearest neighbor effect analysis. Biopolymers. 75(3). 209–216. 20 indexed citations
18.
Ahmad, Shandar, Jung‐Ying Wang, M. Michael Gromiha, Hamed Fawareh, & Akinori Sarai. (2003). Development of Residue Look-Up Tables and Graphical Representation of Solvent Accessibility in Proteins. Proceedings Genome Informatics Workshop/Genome informatics. 14(14). 482–483. 1 indexed citations
19.
Yu, Chin‐Sheng, Jung‐Ying Wang, Jinn‐Moon Yang, et al.. (2003). Fine‐grained protein fold assignment by support vector machines using generalized npeptide coding schemes and jury voting from multiple‐parameter sets. Proteins Structure Function and Bioinformatics. 50(4). 531–536. 25 indexed citations
20.
Wang, Jung‐Ying. (2002). Application of Support Vector Machines in Bioinformatics. 36 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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