Jeng-Ming Yih

485 total citations
29 papers, 345 citations indexed

About

Jeng-Ming Yih is a scholar working on Artificial Intelligence, Information Systems and Media Technology. According to data from OpenAlex, Jeng-Ming Yih has authored 29 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Media Technology. Recurrent topics in Jeng-Ming Yih's work include Advanced Clustering Algorithms Research (16 papers), Remote-Sensing Image Classification (8 papers) and Educational Technology and Assessment (8 papers). Jeng-Ming Yih is often cited by papers focused on Advanced Clustering Algorithms Research (16 papers), Remote-Sensing Image Classification (8 papers) and Educational Technology and Assessment (8 papers). Jeng-Ming Yih collaborates with scholars based in Taiwan, United States and Slovakia. Jeng-Ming Yih's co-authors include Sue-Fen Huang, Tzeu-Chen Han, Chien‐Chang Chou, Hsiang-Chuan Liu, Tian-Wei Sheu, Ji‐Feng Ding, Wen-Kai Hsu and Yuan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Periodontology and Applied Soft Computing.

In The Last Decade

Jeng-Ming Yih

26 papers receiving 318 citations

Peers

Jeng-Ming Yih
Lalitha Dhamotharan United Kingdom
Jong‐Hyun Park South Korea
Anil Chaturvedi United States
Rattapoom Tuchinda United States
LI Huai-zu China
Lizhen Xu United States
Mohamed Sellami France
Yinghui Yang United States
Ahmad Baraani-Dastjerdi Iran
Matthew Dixon United States
Lalitha Dhamotharan United Kingdom
Jeng-Ming Yih
Citations per year, relative to Jeng-Ming Yih Jeng-Ming Yih (= 1×) peers Lalitha Dhamotharan

Countries citing papers authored by Jeng-Ming Yih

Since Specialization
Citations

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

Fields of papers citing papers by Jeng-Ming Yih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeng-Ming Yih. 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 Jeng-Ming Yih. The network helps show where Jeng-Ming Yih may publish in the future.

Co-authorship network of co-authors of Jeng-Ming Yih

This figure shows the co-authorship network connecting the top 25 collaborators of Jeng-Ming Yih. A scholar is included among the top collaborators of Jeng-Ming Yih 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 Jeng-Ming Yih. Jeng-Ming Yih 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
1.
Yih, Jeng-Ming, et al.. (2017). Clustering with fuzzy supervised algorithm. SHILAP Revista de lepidopterología. 119. 1007–1007. 1 indexed citations
2.
Yih, Jeng-Ming. (2016). Construct ability indicators of learning Algebra. 5. 1–4. 1 indexed citations
3.
Yih, Jeng-Ming, et al.. (2015). Application of IIRS in Mathematics Instruction to Promote Pupils’ Decimal Concept. 1 indexed citations
4.
Yih, Jeng-Ming, et al.. (2014). Clustering Approach to Investigate Intuitive Rule Usage with Factor and Multiple on Mathematics Problems. 7(3). 267–282. 1 indexed citations
5.
Yih, Jeng-Ming, et al.. (2012). Application of a Fuzzy EOQ Model to the Stock Management in the Manufacture System. Key engineering materials. 499. 361–365. 5 indexed citations
6.
7.
Yih, Jeng-Ming & Sue-Fen Huang. (2010). Unsupervised clustering algorithm based on normalized Mahalanobis distances. 180–184. 3 indexed citations
8.
Yih, Jeng-Ming. (2010). Fuzzy basis on clustering of knowledge structure with cognition diagnosis for algebra learning. 174–179. 1 indexed citations
9.
Yih, Jeng-Ming, et al.. (2010). Concept structure based on response pattern detection of S-P chart with application in algebra learning. WSEAS Transactions on Computers archive. 9(8). 847–856. 3 indexed citations
10.
Yih, Jeng-Ming, et al.. (2010). Clustering Algorithms Based on Mahalanobis Distances. 228–231. 1 indexed citations
11.
Liu, Hsiang-Chuan, et al.. (2009). Fuzzy C-Means Algorithm Based on Common Mahalanobis Distances.. 15. 581–595. 8 indexed citations
12.
Liu, Hsiang-Chuan, et al.. (2008). Fuzzy Possibility C-Mean Based on Complete Mahalanobis Distance and Separable Criterion. 89–94. 3 indexed citations
13.
Liu, Hsiang-Chuan, et al.. (2008). Fuzzy possibility c-mean clustering algorithms based on complete mahalanobis distances. 50–55. 4 indexed citations
14.
Liu, Hsiang-Chuan, et al.. (2008). Fuzzy C-mean algorithm based on “complete” Mahalanobis distances. 3569–3574. 9 indexed citations
15.
Liu, Hsiang-Chuan, et al.. (2008). Fuzzy C-Mean Clustering Algorithms Based on Picard Iteration and Particle Swarm Optimization. 7. 838–842. 9 indexed citations
16.
Yih, Jeng-Ming, et al.. (2008). Clustering analysis method based on fuzzy C-means algorithm of PSO and PPSO with application in image data. 54–59. 3 indexed citations
17.
Liu, Hsiang-Chuan, et al.. (2007). Fuzzy possibility C-Mean based on mahalanobis distance and separable criterion. Journal of Periodontology. 89(9). 105–110. 1 indexed citations
18.
19.
Liu, Hsiang-Chuan, et al.. (2007). A New Fuzzy Possibility Clustering Algorithms Based on Unsupervised Mahalanobis Distances. 3939–3944. 12 indexed citations
20.
Liu, Hsiang-Chuan, et al.. (2007). Fuzzy C-Mean Algorithm Based on Mahalanobis Distance and New Separable Criterion. 1851–1855. 4 indexed citations

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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