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.
ANFIS: adaptive-network-based fuzzy inference system
Countries citing papers authored by Jyh‐Shing Roger Jang
Since
Specialization
Citations
This map shows the geographic impact of Jyh‐Shing Roger Jang'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 Jyh‐Shing Roger Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyh‐Shing Roger Jang more than expected).
Fields of papers citing papers by Jyh‐Shing Roger Jang
This network shows the impact of papers produced by Jyh‐Shing Roger Jang. 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 Jyh‐Shing Roger Jang. The network helps show where Jyh‐Shing Roger Jang may publish in the future.
Co-authorship network of co-authors of Jyh‐Shing Roger Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Jyh‐Shing Roger Jang.
A scholar is included among the top collaborators of Jyh‐Shing Roger Jang 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 Jyh‐Shing Roger Jang. Jyh‐Shing Roger Jang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jang, Jyh‐Shing Roger, et al.. (2015). Audio Musical Dice Game. ACM Transactions on Multimedia Computing Communications and Applications. 11(4). 1–24.5 indexed citations
8.
Jang, Jyh‐Shing Roger, et al.. (2014). Phone Boundary Annotation in Conversational Speech. Language Resources and Evaluation. 848–853.3 indexed citations
9.
Young, Shelley Shwu‐Ching, et al.. (2013). Using Tangible Companions for Enhancing Learning English Conversation.. Educational Technology & Society. 16(2). 296–309.35 indexed citations
10.
Chang, Jason S., et al.. (2012). Learning to Find Translations and Transliterations on the Web. Meeting of the Association for Computational Linguistics. 2. 130–134.1 indexed citations
11.
Hsu, Chao-Ling, et al.. (2008). Separation of Singing Voice from Music Accompaniment with Unvoiced Sounds Reconstruction for Monaural Recordings. Journal of the Audio Engineering Society.2 indexed citations
12.
Chen, Zhisheng, et al.. (2008). Music Annotation and Retrieval System Using Anti-Models. Journal of the Audio Engineering Society.3 indexed citations
13.
Chang, Jason S., et al.. (2003). A Statistical Approach to Chinese-to-English Back-Transliteration. Pacific Asia Conference on Language, Information, and Computation. 310–318.3 indexed citations
Sun, Chuen–Tsai & Jyh‐Shing Roger Jang. (1993). Using Genetic Algorithms in Structuring a Fuzzy Rulebase. international conference on Genetic algorithms. 655–655.3 indexed citations
20.
Jang, Jyh‐Shing Roger. (1991). Fuzzy modeling using generalized neural networks and Kalman filter algorithm. National Conference on Artificial Intelligence. 2. 762–767.275 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.