Yeh-Ching Low

544 total citations
22 papers, 354 citations indexed

About

Yeh-Ching Low is a scholar working on Artificial Intelligence, Statistics and Probability and Transportation. According to data from OpenAlex, Yeh-Ching Low has authored 22 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 5 papers in Transportation. Recurrent topics in Yeh-Ching Low's work include Bayesian Methods and Mixture Models (7 papers), Statistical Distribution Estimation and Applications (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Yeh-Ching Low is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Statistical Distribution Estimation and Applications (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Yeh-Ching Low collaborates with scholars based in Malaysia, China and United States. Yeh-Ching Low's co-authors include Kok‐Lim Alvin Yau, Junaid Qadir, Mee Hong Ling, Rafidah Md Noor, Celimuge Wu, Hui Na Chua, S. H. Ong, Siew Fan Wong, Younghoon Chang and Maizatul Akmar Ismail and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Yeh-Ching Low

18 papers receiving 334 citations

Peers

Yeh-Ching Low
Comparison fields: 5 of 78
  • Control and Systems Engineering 112
  • Building and Construction 108
  • Industrial and Manufacturing Engineering 87
  • Transportation 82
  • Environmental Engineering 65
Replace Zhenji Zhang with:
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Linda Ramstedt Sweden
Cheng-shuo Ying Hong Kong
Mohammed Al-Salem Qatar
Shouwen Ji China
Gyu M. Lee South Korea
Niklas Petersen Germany
Daniele Cenni Italy
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Zhenji Zhang China View profile →
Citations per field, relative to Yeh-Ching Low
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Citations per year, relative to Yeh-Ching Low
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Countries citing papers authored by Yeh-Ching Low

Since Specialization
Citations

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

Fields of papers citing papers by Yeh-Ching Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeh-Ching Low. 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 Yeh-Ching Low. The network helps show where Yeh-Ching Low may publish in the future.

Co-authorship network of co-authors of Yeh-Ching Low

This figure shows the co-authorship network connecting the top 25 collaborators of Yeh-Ching Low. A scholar is included among the top collaborators of Yeh-Ching Low 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 Yeh-Ching Low. Yeh-Ching Low 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 1
6 5
7 15
8 5
9 1
10 122
11 3
12 56
13 92
14 3
15 1
16 28
17 6
18 1
19 5
20
The Perception and Acceptance of Students towards using Social Networking Sites in Teaching and Learning
3

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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