Kuan‐Ming Li

976 total citations
55 papers, 753 citations indexed

About

Kuan‐Ming Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Kuan‐Ming Li has authored 55 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 23 papers in Biomedical Engineering and 19 papers in Mechanical Engineering. Recurrent topics in Kuan‐Ming Li's work include Advanced machining processes and optimization (19 papers), Advanced Machining and Optimization Techniques (18 papers) and Advanced Surface Polishing Techniques (12 papers). Kuan‐Ming Li is often cited by papers focused on Advanced machining processes and optimization (19 papers), Advanced Machining and Optimization Techniques (18 papers) and Advanced Surface Polishing Techniques (12 papers). Kuan‐Ming Li collaborates with scholars based in Taiwan, United States and Poland. Kuan‐Ming Li's co-authors include Steven Y. Liang, Pin‐Chuan Chen, Hong‐Tsu Young, Wei-chen Lee, Hsin‐Ta Chiao, Chao Tang, Chin‐Chen Chang, Zhongyi Yang, Yung‐Chen Chou and Yu-Chieh Chen and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Kuan‐Ming Li

52 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan‐Ming Li Taiwan 15 461 456 397 60 52 55 753
Eric R. Marsh United States 14 206 0.4× 478 1.0× 414 1.0× 33 0.6× 56 1.1× 41 673
Ren Ke Kang China 11 344 0.7× 292 0.6× 290 0.7× 30 0.5× 40 0.8× 99 652
You Zhao China 14 228 0.5× 239 0.5× 172 0.4× 57 0.9× 41 0.8× 44 464
Vytautas Ostaševičius Lithuania 14 217 0.5× 307 0.7× 249 0.6× 54 0.9× 52 1.0× 85 535
Marcel Tichem Netherlands 14 263 0.6× 253 0.6× 198 0.5× 56 0.9× 55 1.1× 58 609
Weihua Zhou China 20 631 1.4× 684 1.5× 355 0.9× 37 0.6× 193 3.7× 105 1.3k
Chang‐Young Lee South Korea 17 433 0.9× 288 0.6× 193 0.5× 23 0.4× 27 0.5× 115 964
J. Y. Kao Taiwan 10 411 0.9× 533 1.2× 326 0.8× 100 1.7× 56 1.1× 28 658
Christine Prelle France 13 251 0.5× 188 0.4× 115 0.3× 18 0.3× 21 0.4× 53 451
Yiping Shen China 12 212 0.5× 142 0.3× 296 0.7× 21 0.3× 121 2.3× 54 663

Countries citing papers authored by Kuan‐Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ming Li. 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 Kuan‐Ming Li. The network helps show where Kuan‐Ming Li may publish in the future.

Co-authorship network of co-authors of Kuan‐Ming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Ming Li. A scholar is included among the top collaborators of Kuan‐Ming Li 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 Kuan‐Ming Li. Kuan‐Ming Li 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.
Li, Kuan‐Ming, et al.. (2025). Promoting Accurate Image Reconstruction via Synthetic Noise for Unsupervised Screw Anomaly Detection and Location. IEEE Transactions on Instrumentation and Measurement. 74. 1–16.
2.
Li, Kuan‐Ming, et al.. (2023). Industrial anomaly detection with multiscale autoencoder and deep feature extractor‐based neural network. IET Image Processing. 17(6). 1752–1761. 3 indexed citations
3.
Young, Hong‐Tsu, et al.. (2023). An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation. Journal of Intelligent Manufacturing. 35(6). 2613–2624. 1 indexed citations
4.
Liang, Jinglun, et al.. (2023). Artificial intelligence aided diagnosis of pulmonary nodules segmentation and feature extraction. Clinical Radiology. 78(6). 437–443. 5 indexed citations
5.
6.
Li, Kuan‐Ming, et al.. (2022). Analysis of Tool Wear by Using a Cutting Bending Moment Model for Milling Processes. International Journal of Precision Engineering and Manufacturing. 23(8). 943–955. 9 indexed citations
7.
Li, Kuan‐Ming, et al.. (2022). Industrial Anomaly Detection with Skip Autoencoder and Deep Feature Extractor. SSRN Electronic Journal. 3 indexed citations
8.
Chen, Jianwen, et al.. (2021). Integrating object detection and image segmentation for detecting the tool wear area on stitched image. Scientific Reports. 11(1). 19938–19938. 14 indexed citations
9.
Li, Kuan‐Ming, et al.. (2019). On the Thermal Memory Effect Reduction of Power Amplifiers Using Pulse Modulation. IEEE Microwave and Wireless Components Letters. 29(4). 285–287. 5 indexed citations
10.
Li, Kuan‐Ming, et al.. (2017). A Miniaturized Nickel Oxide Thermistor via Aerosol Jet Technology. Sensors. 17(11). 2602–2602. 32 indexed citations
11.
Lee, Meng‐Shiou, et al.. (2016). Development of on-line laser power monitoring system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9732. 97320T–97320T. 2 indexed citations
12.
Li, Kuan‐Ming & Steven Y. Liang. (2012). Flank Wear Model for Near Dry Turning under Built-Up Edge Effect. 33(2). 123–132. 2 indexed citations
13.
Tang, Chao, Hong‐Tsu Young, & Kuan‐Ming Li. (2012). Innovative through-silicon-via formation approach for wafer-level packaging applications. Journal of Micromechanics and Microengineering. 22(4). 45019–45019. 21 indexed citations
14.
Li, Kuan‐Ming, et al.. (2011). Effect of Machining Parameters on Surface Roughness in Vibration-Assisted Grinding. 359–364. 2 indexed citations
15.
Li, Kuan‐Ming, et al.. (2010). The study of dynamic navigation with WAVE/DSRC in VANETs. 11. 524–528. 3 indexed citations
16.
Li, Kuan‐Ming, et al.. (2009). Effect of Minimum Quantity Lubrication on Tool Wear and Surface Roughness in Micro-Milling. 393–399. 5 indexed citations
17.
Chou, Yung‐Chen, Chin‐Chen Chang, & Kuan‐Ming Li. (2008). A Large Payload Data Embedding Technique for Color Images. Fundamenta Informaticae. 88(1-2). 47–61. 15 indexed citations
18.
Chang, Chin‐Chen, Yi-Hui Chen, & Kuan‐Ming Li. (2006). Improved SMVQ Scheme with Edge-Directed Prediction. 541–544. 1 indexed citations
19.
Li, Kuan‐Ming & Steven Y. Liang. (2005). Predictive Models for Flank Wear in Near Dry Machining. 49–57. 3 indexed citations
20.
Li, Kuan‐Ming & Steven Y. Liang. (2005). Modeling of Cutting Temperature in Near Dry Machining. Journal of Manufacturing Science and Engineering. 128(2). 416–424. 47 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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