Hsiao–Cheng Yu

27 papers receiving 967 citations

Peers

Hsiao–Cheng Yu
Comparison fields: 5 of 106
  • Management Science and Operations Research 586
  • Electrical and Electronic Engineering 225
  • Artificial Intelligence 172
  • Economics and Econometrics 169
  • Strategy and Management 165
Replace Sheng-Tun Li with:
Sheng-Tun Li Taiwan
Bo K. Wong Hong Kong
Jean‐Charles Pomerol France
Luiz Flávio Autran Monteiro Gomes Brazil
Kyong Joo Oh South Korea
Juan Aguarón Spain
Jalil Heidary Dahooie Iran
Han-Lin Li Taiwan
Tony Gear United Kingdom
Akbar Esfahanipour Iran
Hsiao–Cheng Yu relative to Sheng-Tun Li Taiwan Sheng-Tun Li's profile →
Citations per field
00.5×1.5×2.3×
Sheng-Tun Li · 1×
Citations per year

Countries citing papers authored by Hsiao–Cheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao–Cheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao–Cheng Yu. 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 Hsiao–Cheng Yu. The network helps show where Hsiao–Cheng Yu may publish in the future.

Co-authorship network of co-authors of Hsiao–Cheng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao–Cheng Yu. A scholar is included among the top collaborators of Hsiao–Cheng Yu 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 Hsiao–Cheng Yu. Hsiao–Cheng Yu 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
Forecasting Russian renewable, nuclear, and total energy consumption using improved nonlinear grey Bernoulli model
5
2 3
3 7
4
The effect of culture on usability: comparing the perceptions and performance of Taiwanese and North American MP3 player users
14
5 1
6 1
7 3
8 20
9 1
10 3
11 2
12 6
13 21
14 13
15 10
16 276
17 0
18 161
19 167
20 1

About Hsiao–Cheng Yu

Hsiao–Cheng Yu is a scholar working on Management Science and Operations Research, Media Technology and Information Systems and Management, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (4 papers), RFID technology advancements (3 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Management Science and Operations Research (586 citations), Information Systems and Management (85 citations) and Management Information Systems (104 citations). Hsiao–Cheng Yu has collaborated with scholars based in Taiwan. Frequent co-authors include Gwo‐Hshiung Tzeng, Fang-Mei Tseng, Ya-Ti Lin, Benjamin J.C. Yuan, Chia-Li Lin, Steven P. Wallace, Yawen Yu, Po‐Hsuan Hsu, Joseph Z. Shyu and W.D. Sincoskie. Their work appears in journals such as Expert Systems with Applications, Technological Forecasting and Social Change and Fuzzy Sets and Systems.

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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