Kuo‐Yi Lin

1.9k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Kuo‐Yi Lin is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Kuo‐Yi Lin has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Management Information Systems. Recurrent topics in Kuo‐Yi Lin's work include Service and Product Innovation (5 papers), Innovation Diffusion and Forecasting (3 papers) and Technology Assessment and Management (3 papers). Kuo‐Yi Lin is often cited by papers focused on Service and Product Innovation (5 papers), Innovation Diffusion and Forecasting (3 papers) and Technology Assessment and Management (3 papers). Kuo‐Yi Lin collaborates with scholars based in China, United Kingdom and United States. Kuo‐Yi Lin's co-authors include Li Li, Yuxi Fan, Ying Kei Tse, Lijie Feng, Jinfeng Wang, Ke Zhang, Ying Liu, Luyao Zhang, Kehui Liu and Thitipong Jamrus and has published in prestigious journals such as PLoS ONE, Technological Forecasting and Social Change and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Kuo‐Yi Lin

32 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of applications in federated learning

2020 816 citations Li Li, Yuxi Fan et al. Computers & Industrial Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuo‐Yi Lin China	13	640	165	153	149	95	35	1.2k
Marco Lombardi Italy	16	331 0.5×	195 1.2×	223 1.5×	87 0.6×	106 1.1×	61	869
Deepti Mehrotra India	16	311 0.5×	152 0.9×	240 1.6×	145 1.0×	44 0.5×	130	1.1k
Mohd Sharifuddin Ahmad Malaysia	18	353 0.6×	173 1.0×	176 1.2×	55 0.4×	105 1.1×	104	1.0k
Abdul Razak Hamdan Malaysia	17	681 1.1×	114 0.7×	389 2.5×	78 0.5×	41 0.4×	136	1.3k
Mohsen Marjani Malaysia	14	377 0.6×	484 2.9×	359 2.3×	144 1.0×	101 1.1×	35	1.2k
Francesco Pascale Italy	13	256 0.4×	206 1.2×	143 0.9×	123 0.8×	64 0.7×	33	636
Keli Xiao United States	16	452 0.7×	75 0.5×	208 1.4×	73 0.5×	36 0.4×	50	1.0k
Costin Bădică Romania	15	473 0.7×	293 1.8×	283 1.8×	65 0.4×	59 0.6×	165	1.0k
Ole‐Christoffer Granmo Norway	22	775 1.2×	560 3.4×	117 0.8×	206 1.4×	54 0.6×	134	1.4k
Abdulwahab Ali Almazroi Saudi Arabia	20	491 0.8×	267 1.6×	278 1.8×	173 1.2×	87 0.9×	86	1.2k

Countries citing papers authored by Kuo‐Yi Lin

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐Yi Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Yi 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 Kuo‐Yi Lin. The network helps show where Kuo‐Yi Lin may publish in the future.

Co-authorship network of co-authors of Kuo‐Yi Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Peng, Wei Zhou, Lijie Feng, et al.. (2024). Mapping and comparing the technology evolution paths of scientific papers and patents: an integrated approach for forecasting technology trends. Scientometrics. 129(4). 1975–2005. 6 indexed citations

Lin, Kuo‐Yi, et al.. (2024). UNISON framework of data-driven tripartite evolutionary game-based knowledge sharing decision for digital servitization. Computers & Industrial Engineering. 189. 109935–109935. 12 indexed citations

Lin, Kuo‐Yi & Thitipong Jamrus. (2024). Industrial data-driven modeling for imbalanced fault diagnosis. Industrial Management & Data Systems. 124(11). 3108–3137. 9 indexed citations

Liu, Ying, et al.. (2023). Process bottlenecks identification and its root cause analysis using fusion-based clustering and knowledge graph. Advanced Engineering Informatics. 55. 101862–101862. 21 indexed citations

Zhang, Ke, Kuo‐Yi Lin, Jinfeng Wang, et al.. (2023). UNISON framework for user requirement elicitation and classification of smart product-service system. Advanced Engineering Informatics. 57. 101996–101996. 29 indexed citations

Feng, Lijie, et al.. (2023). Technology opportunity discovery of proton exchange membrane fuel cell from the perspective of papers-patents correlation analysis. Frontiers in Energy Research. 10. 3 indexed citations

Li, Li, et al.. (2023). Data-Driven Scheduling of Semiconductor Manufacturing Systems.

Feng, Lijie, et al.. (2023). Innovation technology opportunity identification of civil aircraft mechanical connections based on generative topographic mapping. PLoS ONE. 18(10). e0293309–e0293309. 1 indexed citations

Li, Xiuxian, Kuo‐Yi Lin, Li Li, Yiguang Hong, & Jie Chen. (2023). On Faster Convergence of Scaled Sign Gradient Descent. IEEE Transactions on Industrial Informatics. 20(2). 1732–1741. 3 indexed citations

10.

Feng, Lijie, et al.. (2022). Integration of Design, Manufacturing, and Service Based on Digital Twin to Realize Intelligent Manufacturing. Machines. 10(4). 275–275. 17 indexed citations

11.

Feng, Lijie, Qinghua Wang, Jinfeng Wang, & Kuo‐Yi Lin. (2022). A Review of Technological Forecasting from the Perspective of Complex Systems. Entropy. 24(6). 787–787. 12 indexed citations

12.

Lin, Kuo‐Yi, et al.. (2022). Imbalanced Wafer Map Dataset Classification with Semi-Supervised Learning Method and Optimized Loss Function. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 1815–1819. 3 indexed citations

13.

Li, Xinran, Kuo‐Yi Lin, Min Meng, et al.. (2022). A Survey of ADAS Perceptions With Development in China. IEEE Transactions on Intelligent Transportation Systems. 23(9). 14188–14203. 26 indexed citations

14.

Lin, Kuo‐Yi, et al.. (2022). Using Domain Adaptation for Incremental SVM Classification of Drift Data. Mathematics. 10(19). 3579–3579. 8 indexed citations

15.

Li, Li, et al.. (2021). Automatic Identification of Bottleneck Tasks for Business Process Management using Fusion-based Text Clustering. IFAC-PapersOnLine. 54(1). 1200–1205. 3 indexed citations

16.

Lin, Kuo‐Yi, Yuguang Liu, Li Li, & Runliang Dou. (2021). A Review of Explainable Artificial Intelligence. IFIP advances in information and communication technology. 574–584. 5 indexed citations

17.

Li, Li, Yuxi Fan, Ying Kei Tse, & Kuo‐Yi Lin. (2020). A review of applications in federated learning. Computers & Industrial Engineering. 149. 106854–106854. 816 indexed citations breakdown →

18.

Lin, Kuo‐Yi, et al.. (2020). Conditional semi‐fuzzy c ‐means clustering for imbalanced dataset. IET Image Processing. 14(11). 2343–2355. 2 indexed citations

19.

Li, Li, et al.. (2020). Feature Generation Based on Knowledge Graph. IFAC-PapersOnLine. 53(5). 774–779. 4 indexed citations

20.

Lin, Kuo‐Yi. (2003). Designing databases in real-time embedded systems. 285–292.

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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