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.
Countries citing papers authored by Shu-Ching Wang
Since
Specialization
Citations
This map shows the geographic impact of Shu-Ching 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 Shu-Ching Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Ching Wang more than expected).
This network shows the impact of papers produced by Shu-Ching 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 Shu-Ching Wang. The network helps show where Shu-Ching Wang may publish in the future.
Co-authorship network of co-authors of Shu-Ching Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shu-Ching Wang.
A scholar is included among the top collaborators of Shu-Ching 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 Shu-Ching Wang. Shu-Ching Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Shu-Ching, et al.. (2019). Economic Stress of International Students: What Counselors Should Know. Journal of Counselor Preparation and Supervision. 12(4). 3.2 indexed citations
3.
Wang, Shu-Ching, et al.. (2019). OPTIMAL CONSENSUS ACHIEVEMENT FOR THE INTERNET OF THINGS BASED ON FOG COMPUTING WITHIN DUAL FAULTY TRANSMISSION MEDIA. ICIC express letters. Part B, Applications. 10(9). 773–780.
4.
Wang, Shu-Ching, et al.. (2019). Optimal Agreement Achievement in a Fog Computing Based IoT. 網際網路技術學刊. 20(6). 1767–1779.2 indexed citations
5.
Wang, Shu-Ching, Shun-Sheng Wang, & Kuo-Qin Yan. (2018). Reaching Optimal Interactive Consistency in a Fallible Cloud Computing Environment.. Journal of information science and engineering. 34. 205–223.2 indexed citations
Wang, Shu-Ching, Mao‐Lun Chiang, Kuo-Qin Yan, & Yao‐Te Tsai. (2018). Fault-diagnosis and Decision Making Algorithm for Determining Faulty Nodes in Malicious and Dormant Wireless Sensor Networks. 網際網路技術學刊. 19(7). 2135–2145.
8.
Wang, Shu-Ching, et al.. (2017). TO ACHIEVE OPTIMAL TRUSTWORTHY AGREEMENT IN THE UNRELIABLE MOBILE CLOUD COMPUTING ENVIRONMENT. ICIC express letters. Part B, Applications. 8(6). 937–943.
Wu, Jen‐Her, et al.. (2009). Why Do Players Stick to a Specific Online Game? The Users and Gratifications Perspective. Journal of the Association for Information Systems. 351.5 indexed citations
Cheng, Chien‐Fu, Shu-Ching Wang, & Tyne Liang. (2009). Investigation of Consensus Problem over Combined Wired/Wireless Network. Journal of information science and engineering. 25(4). 1267–1281.1 indexed citations
Wang, Shu-Ching, et al.. (2003). Eventually Dual Failure Agreement. Fundamenta Informaticae. 57(1). 79–99.3 indexed citations
20.
Wu, Jen‐Her & Shu-Ching Wang. (2003). An Empirical Study of Consumers Adopting Mobile Commerce in Taiwan: Analyzed by Structural Equation Modeling. Journal of the Association for Information Systems. 6.5 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.