Shuyan Wang

45 papers receiving 330 citations

Peers

Shuyan Wang
Comparison fields: 5 of 79
  • Information Systems 118
  • Artificial Intelligence 107
  • Computer Science Applications 89
  • Education 75
  • Computer Vision and Pattern Recognition 42
Replace Jawad Berri with:
Jawad Berri Saudi Arabia
Indriana Hidayah Indonesia
Edi Sutoyo Indonesia
Mohammed Al Achhab Morocco
Rainer Knauf Germany
Veronika Stoffová Slovakia
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Wen‐Chung Shih Taiwan
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Shuyan Wang relative to Jawad Berri Saudi Arabia Jawad Berri's profile →
Citations per field
00.5×3.9×
Jawad Berri · 1×
Citations per year

Countries citing papers authored by Shuyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyan Wang. A scholar is included among the top collaborators of Shuyan 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 Shuyan Wang. Shuyan 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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 1
6 0
7 3
8 5
9 50
10
The Roles of Instructional Technologist in Supporting K-12 CCSS Transition.
1
11
Students' Perceptions of Interactions in a MOOC: Completing Students' Perspective.
1
12 77
13
Combinatorial Test Data Generation Algorithm Based on Improved DPSO
1
14
Approach of a Simple Agriculture Ontology System Construction Based on Extended SKOS Model
0
15 5
16
Application of decision tree algorithm for medical image data mining
2
17
Application of association rules for medical image data mining
1
18
An Ethnographic Study on a Video Conferencing Class
1
19
M-learning: Mobility in Learning
10
20
Experiences in Teaching Technology Applications in Education
0

About Shuyan Wang

Shuyan Wang is a scholar working on Software, Information Systems and Computer Science Applications, having authored 54 papers that have together received 351 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Online Learning and Analytics (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Computer Science Applications (89 citations), Information Systems (118 citations) and Health Information Management (19 citations). Shuyan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wu He, Yaohang Li, Francisco D. Guillén‐Gámez, Jui-Long Hung, Morgan C. Wang, María J. Mayorga-Fernández, Guohua Geng, Syed Far Abid Hossain, Mohammad Nurunnabi and Khalid Hussain. Their work appears in journals such as Frontiers in Plant Science, Applied Sciences and Journal of Network and Computer Applications.

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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