Sheng‐Ching Wang

24 papers receiving 293 citations

Sheng‐Ching Wang's Hit Papers

What drives students’ AI learning behavior: a perspective of AI anxiety 2022 · 104 citations
1040+1+2Years since publication255075100

Peers

Sheng‐Ching Wang
Comparison fields: 5 of 83
  • Health Informatics 8
  • Computer Science Applications 28
  • Information Systems and Management 14
  • Mechanical Engineering 62
  • Infectious Diseases 26
Replace Yunhan Huang with:
Yunhan Huang United States
Molly Bolger United States
Shanshan Ma China
Nahier Aldhafferi Saudi Arabia
David J. Ahlgren United States
Angela Minichiello United States
Nguyễn Văn Hạnh Vietnam
Kevin Larkin Australia
J. Oliver Spain
Zhongzhou Chen United States
Sheng‐Ching Wang relative to Yunhan Huang United States Yunhan Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sheng‐Ching Wang

Since Specialization
Citations

This map shows the geographic impact of Sheng‐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 Sheng‐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 Sheng‐Ching Wang more than expected).

Fields of papers citing papers by Sheng‐Ching Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sheng‐Ching Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheng‐Ching Wang Line = papers co-authored together Sheng‐Ching Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What drives students’ AI learning behavior: a perspective of AI anxiety
Hit paper breakdown →
2022104
2 202222
3 202020
4 202220
5 202214
6 201412
7 201511
8 201310
9 201410
10 20229
11 20158
12 20228
13 20188
14 20237
15 20227
16 20207
17 20207
18 20154
19 20173
20 20183

About Sheng‐Ching Wang

Sheng‐Ching Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Control and Systems Engineering and Mechanical Engineering, having authored 25 papers that have together received 300 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (5 papers), Magnetic Field Sensors Techniques (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Sensor Technology and Measurement Systems (3 papers), Protein purification and stability (3 papers), Magnetic Bearings and Levitation Dynamics (3 papers), RNA Interference and Gene Delivery (2 papers) and Electric Motor Design and Analysis (2 papers). The work is most often cited by research in Health Informatics (8 citations), Computer Science Applications (28 citations), Information Systems and Management (14 citations), Mechanical Engineering (62 citations) and Infectious Diseases (26 citations). Sheng‐Ching Wang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yu-Min Wang, Hsin‐Hui Lin, Yi‐Shun Wang, Tsung‐Shune Chin, Neil W. Taylor, Andrew L. Zydney, Jen-Yuan Chang, Cheng-Kuo Sung, Michael A. Winters and Paul C.-P. Chao. Their work appears in journals such as Biotechnology and Bioengineering, Surface and Coatings Technology, Microsystem Technologies, IEEE Transactions on Magnetics and Biotechnology Journal.

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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