Yih-Lon Lin

485 total citations
33 papers, 346 citations indexed

About

Yih-Lon Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yih-Lon Lin has authored 33 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Yih-Lon Lin's work include Neural Networks and Applications (9 papers), Neural Networks Stability and Synchronization (5 papers) and Mathematical Dynamics and Fractals (5 papers). Yih-Lon Lin is often cited by papers focused on Neural Networks and Applications (9 papers), Neural Networks Stability and Synchronization (5 papers) and Mathematical Dynamics and Fractals (5 papers). Yih-Lon Lin collaborates with scholars based in Taiwan, Brazil and China. Yih-Lon Lin's co-authors include Jyh-Horng Jeng, Jer‐Guang Hsieh, Wenlin Chen, Hsiang‐Chen Hsu, Shu‐Ling Cheng, Chien‐Hua Chen, Majid Forghani-elahabad, Gai‐Ge Wang, Wei‐Chang Yeh and Zhifeng Hao and has published in prestigious journals such as IEEE Access, Fuzzy Sets and Systems and Neurocomputing.

In The Last Decade

Yih-Lon Lin

29 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yih-Lon Lin Taiwan 12 123 92 56 42 36 33 346
André Klein Netherlands 15 120 1.0× 29 0.3× 8 0.1× 57 1.4× 62 1.7× 45 512
C. Lakshmi India 10 67 0.5× 182 2.0× 22 0.4× 13 0.3× 23 0.6× 26 393
Yuli Fu China 18 44 0.4× 101 1.1× 27 0.5× 118 2.8× 44 1.2× 66 815
Massimo Roma Italy 13 67 0.5× 15 0.2× 34 0.6× 57 1.4× 7 0.2× 36 580
Dzung T. Phan United States 13 94 0.8× 35 0.4× 31 0.6× 140 3.3× 19 0.5× 38 577
Dustin Tran United States 10 118 1.0× 59 0.6× 23 0.4× 35 0.8× 20 0.6× 25 481
Yunlong Feng China 13 203 1.7× 149 1.6× 73 1.3× 94 2.2× 83 2.3× 29 544
James M. Calvin United States 12 72 0.6× 19 0.2× 16 0.3× 27 0.6× 15 0.4× 67 417
Necdet Serhat Aybat United States 10 70 0.6× 87 0.9× 14 0.3× 30 0.7× 30 0.8× 23 390

Countries citing papers authored by Yih-Lon Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yih-Lon Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yih-Lon Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yih-Lon Lin. A scholar is included among the top collaborators of Yih-Lon Lin 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 Yih-Lon Lin. Yih-Lon Lin 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.
Lin, Yih-Lon, et al.. (2025). Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation. BMC Medical Informatics and Decision Making. 25(1). 39–39.
2.
Kuo, Kuang-Ming, et al.. (2024). An ensemble model for predicting dispositions of emergency department patients. BMC Medical Informatics and Decision Making. 24(1). 105–105. 2 indexed citations
3.
Lin, Yih-Lon, et al.. (2023). Person Identification Using Bronchial Breath Sounds Recorded by Mobile Devices. IEEE Access. 11. 66122–66134. 2 indexed citations
4.
Hung, Wei‐Chieh, et al.. (2023). Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women. Osteoporosis International. 35(1). 129–141. 5 indexed citations
5.
Chen, Chien‐Hua, et al.. (2020). Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data. International Journal of Medical Informatics. 139. 104146–104146. 25 indexed citations
6.
Chen, Chien‐Hua, et al.. (2020). Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients. The American Journal of Emergency Medicine. 38(11). 2368–2373. 19 indexed citations
8.
Lin, Yih-Lon, et al.. (2015). Automated surface defect inspection system for capacitive touch sensor. 274–277. 4 indexed citations
9.
Lin, Yih-Lon, Jer‐Guang Hsieh, & Jyh-Horng Jeng. (2014). Robust decomposition with guaranteed robustness for cellular neural networks implementing an arbitrary Boolean function. Neurocomputing. 143. 339–346. 1 indexed citations
10.
Lin, Yih-Lon & Wenlin Chen. (2012). Fast Search Strategies for Fractal Image Compression. Journal of information science and engineering. 28(1). 17–30. 22 indexed citations
11.
Lin, Yih-Lon, et al.. (2011). Three-parameter sequential minimal optimization for support vector machines. Neurocomputing. 74(17). 3467–3475. 10 indexed citations
12.
Tang, Chao-Shun, et al.. (2011). Chemical Production in Electrocautery Smoke by a Novel Predictive Model. European Surgical Research. 46(2). 102–107. 19 indexed citations
13.
Lin, Yih-Lon. (2010). Robust estimation of parameter for fractal inverse problem. Computers & Mathematics with Applications. 60(7). 2099–2108. 11 indexed citations
14.
Hsieh, Jer‐Guang, et al.. (2010). On maximum likelihood fuzzy neural networks. Fuzzy Sets and Systems. 161(21). 2795–2807. 11 indexed citations
15.
Lin, Yih-Lon, et al.. (2010). Genetic algorithm with a hybrid select mechanism for fractal image compression. Digital Signal Processing. 20(4). 1150–1161. 21 indexed citations
16.
Hsieh, Jer‐Guang, Yih-Lon Lin, & Jyh-Horng Jeng. (2008). Preliminary Study on Wilcoxon Learning Machines. IEEE Transactions on Neural Networks. 19(2). 201–211. 60 indexed citations
17.
Lin, Yih-Lon, Jer‐Guang Hsieh, & Jyh-Horng Jeng. (2007). ROBUST TEMPLATE DECOMPOSITION WITH RESTRICTED WEIGHTS FOR CELLULAR NEURAL NETWORKS IMPLEMENTING AN ARBITRARY BOOLEAN FUNCTION. International Journal of Bifurcation and Chaos. 17(9). 3151–3169. 6 indexed citations
18.
Lin, Yih-Lon, Jyh-Horng Jeng, & Jer‐Guang Hsieh. (2006). Three-parameter Sequential Minimal Optimization for Support Vector Classification. 3515–3520. 2 indexed citations
19.
Lin, Yih-Lon, et al.. (2005). Characterization of canonical robust template values for a class of uncoupled CNNs implementing linearly separable Boolean functions. Annual Conference on Computers. 121.
20.
Chen, Huang‐Chi, Yih-Lon Lin, Yeong‐Jeu Sun, & Jer‐Guang Hsieh. (2003). Modified Rosenblatt's perceptron algorithm and Novikoff's theorem. 12. 1282–1284.

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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