Cheng-Yu Hsu

527 citations
5 papers · 382 indexed · h-index 3
Topics
Scheduling and Optimization Algorithms (2 papers)Metaheuristic Optimization Algorithms Research (2 papers)Optimization and Search Problems (2 papers)
Journals
SHILAP Revista de lepidopterologíaComputers & Operations ResearchComputers & Industrial Engineering
Partner nations
Taiwan

In The Last Decade

Cheng-Yu Hsu

4 papers receiving 361 citations

Peers

Cheng-Yu Hsu
Comparison fields: 5 of 53
  • Industrial and Manufacturing Engineering 261
  • Artificial Intelligence 160
  • Computer Networks and Communications 78
  • Computational Theory and Mathematics 48
  • Management Science and Operations Research 47
Replace Manzhan Gu with:
Manzhan Gu China
Nicola Policella Italy
Santiago Enrique Conant-Pablos Mexico
Jiadong Yang China
Quentin Louveaux Belgium
Nhu Binh Ho Singapore
Eranda Çela Austria
Koji Nonobe Japan
Jakob Bossek Germany
Guangzhou Zeng China
Cheng-Yu Hsu relative to Manzhan Gu China Manzhan Gu's profile →
Citations per field
00.5×1.5×1.9×
Manzhan Gu · 1×
Citations per year

Countries citing papers authored by Cheng-Yu Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Yu Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Yu Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Yu Hsu. A scholar is included among the top collaborators of Cheng-Yu Hsu 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 Cheng-Yu Hsu. Cheng-Yu Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 1
3
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer
14
4 127
5 240

About Cheng-Yu Hsu

Cheng-Yu Hsu is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Neurology, having authored 5 papers that have together received 382 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (261 citations), Artificial Intelligence (160 citations) and Management Science and Operations Research (47 citations). Cheng-Yu Hsu has collaborated with scholars based in Taiwan. Frequent co-authors include D. Y. Sha, Shan-Hung Wu, Boyi Li, Cheng-Feng Yang, Shi‐Chung Chang and Chiung-An Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Operations Research and Computers & Industrial Engineering.

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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