Bih‐Yaw Shih

34 papers receiving 346 citations

Peers

Bih‐Yaw Shih
Comparison fields: 5 of 100
  • Information Systems 67
  • Artificial Intelligence 63
  • Sociology and Political Science 62
  • Information Systems and Management 58
  • Computer Networks and Communications 51
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Citations per field
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Citations per year

Countries citing papers authored by Bih‐Yaw Shih

Since Specialization
Citations

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

Fields of papers citing papers by Bih‐Yaw Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bih‐Yaw Shih. 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 Bih‐Yaw Shih. The network helps show where Bih‐Yaw Shih may publish in the future.

Co-authorship network of co-authors of Bih‐Yaw Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Bih‐Yaw Shih. A scholar is included among the top collaborators of Bih‐Yaw Shih 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 Bih‐Yaw Shih. Bih‐Yaw Shih 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 11
2 10
3
A ROBUST LICENSE PLATE RECOGNITION METHODOLOGY BY APPLYING HYBRID ARTIFICIAL TECHNIQUES
6
4 9
5
An Interactive Whiteboard Model Survey: Reliable Development
1
6 18
7 8
8 18
9 31
10
Applying Artificial Coordinates Auxiliary Techniques and License Plate Recognition System for Automatic Vehicle License Plate Identification in Taiwan
1
11
Design, Development and Learning Assessment by Applying NXT Robotics Multi-Media Learning Materials: A Preliminary Study to Explore Students' Learning Motivation
4
12
Enhanced MAC Channel Selection to Improve Performance of IEEE 802.15.4
19
13 17
14 4
15 16
16 3
17
THE DEVELOPMENT OF A CFM HYBRID ARTIFICIAL SALE FORECASTING MODEL
3
18 19
19 8
20
The Research of the Development of an Intelligent Knowledge Service Model.
1

About Bih‐Yaw Shih

Bih‐Yaw Shih is a scholar working on Information Systems and Management, Human-Computer Interaction and Media Technology, having authored 36 papers that have together received 412 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Wireless Networks and Protocols (4 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Information Systems and Management (58 citations), Computer Science Applications (43 citations) and Marketing (33 citations). Bih‐Yaw Shih has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chen-Yuan Chen, Shih‐Hsien Yu, Won‐Young Lee, Y CHUNG, Wan‐I Lee, Tsung‐Hao Chen, Chien‐Chao Tseng, Chen‐Yuan Chen, Bo‐Wei Chen and Cheng‐Wu Chen. Their work appears in journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and Natural Hazards.

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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