Katherine Shu-Min Li

606 total citations
73 papers, 436 citations indexed

About

Katherine Shu-Min Li is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering. According to data from OpenAlex, Katherine Shu-Min Li has authored 73 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Electrical and Electronic Engineering, 28 papers in Hardware and Architecture and 20 papers in Biomedical Engineering. Recurrent topics in Katherine Shu-Min Li's work include Integrated Circuits and Semiconductor Failure Analysis (33 papers), VLSI and Analog Circuit Testing (20 papers) and Industrial Vision Systems and Defect Detection (16 papers). Katherine Shu-Min Li is often cited by papers focused on Integrated Circuits and Semiconductor Failure Analysis (33 papers), VLSI and Analog Circuit Testing (20 papers) and Industrial Vision Systems and Defect Detection (16 papers). Katherine Shu-Min Li collaborates with scholars based in Taiwan, Hong Kong and Germany. Katherine Shu-Min Li's co-authors include Sying-Jyan Wang, Tsung-Yi Ho, Liang-Bi Chen, Wan‐Jung Chang, Yuwei Yang, Hongyuan Li, Chun‐Lung Hsu, Yu-Sheng Chen, Xuhao Jiang and Jiwei Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Semiconductor Manufacturing.

In The Last Decade

Katherine Shu-Min Li

67 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine Shu-Min Li Taiwan 13 303 132 108 96 57 73 436
Georg Pelz Germany 10 260 0.9× 138 1.0× 28 0.3× 96 1.0× 32 0.6× 107 443
Jaehyun Park South Korea 11 216 0.7× 188 1.4× 18 0.2× 73 0.8× 38 0.7× 52 456
Viera Stopjaková Slovakia 15 578 1.9× 320 2.4× 16 0.1× 354 3.7× 57 1.0× 175 829
Marc Reichenbach Germany 10 178 0.6× 90 0.7× 16 0.1× 20 0.2× 18 0.3× 80 353
M.J. Moure Spain 8 347 1.1× 181 1.4× 11 0.1× 68 0.7× 48 0.8× 33 581
J. Soumya India 12 220 0.7× 119 0.9× 15 0.1× 42 0.4× 16 0.3× 56 427
Kevin Irick United States 13 182 0.6× 69 0.5× 17 0.2× 57 0.6× 44 0.8× 37 408
Christian Sauer Germany 8 298 1.0× 73 0.6× 10 0.1× 100 1.0× 67 1.2× 39 425
Dongguo Zhou China 15 128 0.4× 22 0.2× 35 0.3× 38 0.4× 47 0.8× 35 420
Saeed Safari Iran 15 652 2.2× 211 1.6× 15 0.1× 50 0.5× 25 0.4× 107 923

Countries citing papers authored by Katherine Shu-Min Li

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Shu-Min Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine Shu-Min 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 Katherine Shu-Min Li. The network helps show where Katherine Shu-Min Li may publish in the future.

Co-authorship network of co-authors of Katherine Shu-Min Li

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Shu-Min Li. A scholar is included among the top collaborators of Katherine Shu-Min 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 Katherine Shu-Min Li. Katherine Shu-Min 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.
Su, Ja-Hwung, Tzu‐Chieh Lin, P. X. Shen, et al.. (2025). Effective Tumor Annotation for Automated Diagnosis of Liver Cancer. IEEE Journal of Translational Engineering in Health and Medicine. 13. 251–260.
2.
3.
Su, Ja-Hwung, Yi-Wen Liao, Tzung‐Pei Hong, et al.. (2022). Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports. IEEE Access. 10. 116273–116286. 5 indexed citations
4.
Li, Katherine Shu-Min, et al.. (2022). TestDNA-E: Wafer Defect Signature for Pattern Recognition by Ensemble Learning. IEEE Transactions on Semiconductor Manufacturing. 35(2). 372–374. 6 indexed citations
5.
Li, Katherine Shu-Min, et al.. (2022). Wafer Scratch Pattern Reconstruction for High Diagnosis Accuracy and Yield Optimization. IEEE Transactions on Semiconductor Manufacturing. 35(2). 272–281. 5 indexed citations
6.
Li, Katherine Shu-Min, et al.. (2022). Wafer Defect Pattern Classification with Explainable-Decision Tree Technique. 549–553. 3 indexed citations
7.
Li, Jiwei, et al.. (2021). Machine Learning-Based Detection Method for Wafer Test Induced Defects. IEEE Transactions on Semiconductor Manufacturing. 34(2). 161–167. 45 indexed citations
8.
Li, Katherine Shu-Min, et al.. (2020). Wafer-Level Test Path Pattern Recognition and Test Characteristics for Test-Induced Defect Diagnosis. 1710–1711. 7 indexed citations
9.
Li, Katherine Shu-Min, et al.. (2020). TestDNA: Novel Wafer Defect Signature for Diagnosis and Pattern Recognition. IEEE Transactions on Semiconductor Manufacturing. 33(3). 383–390. 8 indexed citations
10.
Li, Katherine Shu-Min, et al.. (2020). TestDNA-E: Wafer Defect Signature for Pattern Recognition by Ensemble Learning. 1–4. 6 indexed citations
11.
Li, Katherine Shu-Min, et al.. (2019). TestDNA: Novel Wafer Defect Signature for Diagnosis and Yield Learning. 1–6. 3 indexed citations
12.
Wang, Sying-Jyan, et al.. (2018). Co-placement optimization in sensor-reusable cyber-physical digital microfluidic biochips. Microelectronics Journal. 83. 185–196. 6 indexed citations
13.
Wang, Sying-Jyan, et al.. (2018). Digital Rights Management for Paper-Based Microfluidic Biochips. 179–184. 5 indexed citations
14.
Wang, Sying-Jyan, et al.. (2017). Design-for-testability for paper-based digital microfluidic biochips. 103. 1–1. 5 indexed citations
15.
Chen, Liang-Bi, Chia‐Wei Tsai, Wan‐Jung Chang, Yuh-Ming Cheng, & Katherine Shu-Min Li. (2016). A real-time mobile emergency assistance system for helping deaf-mute people/elderly singletons. 45–46. 7 indexed citations
16.
Chen, Liang-Bi, et al.. (2016). WristEye: Wrist-Wearable Devices and a System for Supporting Elderly Computer Learners. IEEE Access. 4. 1454–1463. 15 indexed citations
17.
Chen, Liang-Bi, et al.. (2016). A wearable-glasses-based drowsiness-fatigue-detection system for improving road safety. 1–2. 17 indexed citations
18.
Li, Katherine Shu-Min, et al.. (2015). Layout-Aware Optimized Prebond Silicon Interposer Test Synthesis. IEEE Design and Test. 34(6). 77–83. 1 indexed citations
19.
Li, Katherine Shu-Min, et al.. (2014). An Oscillation-Based On-Chip Temperature-Aware Dynamic Voltage and Frequency Scaling Scheme in System-on-a-Chip. IEICE Transactions on Information and Systems. E97.D(9). 2320–2329. 1 indexed citations
20.
Wang, Sying-Jyan, et al.. (2009). Low peak power ATPG for n-detection test. 1993–1996. 7 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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