Kai–Chiang Wu

924 total citations
70 papers, 667 citations indexed

About

Kai–Chiang Wu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Condensed Matter Physics. According to data from OpenAlex, Kai–Chiang Wu has authored 70 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 24 papers in Hardware and Architecture and 8 papers in Condensed Matter Physics. Recurrent topics in Kai–Chiang Wu's work include Semiconductor materials and devices (20 papers), VLSI and Analog Circuit Testing (19 papers) and Integrated Circuits and Semiconductor Failure Analysis (17 papers). Kai–Chiang Wu is often cited by papers focused on Semiconductor materials and devices (20 papers), VLSI and Analog Circuit Testing (19 papers) and Integrated Circuits and Semiconductor Failure Analysis (17 papers). Kai–Chiang Wu collaborates with scholars based in Taiwan, United States and Colombia. Kai–Chiang Wu's co-authors include Diana Marculescu, Shyh‐Leh Chen, Kuo‐Ning Chiang, T. M. Uen, Y. S. Gou, Wei‐Chun Wang, J. Y. Juang, Chuei-Tang Wang, Mango C.-T. Chao and Nataša Miškov-Živanov and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied Physics Letters.

In The Last Decade

Kai–Chiang Wu

65 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai–Chiang Wu Taiwan	14	467	144	79	78	60	70	667
Kaladhar Radhakrishnan United States	17	909 1.9×	100 0.7×	49 0.6×	60 0.8×	33 0.6×	61	1.0k
Gian Domenico Licciardo Italy	18	545 1.2×	24 0.2×	39 0.5×	27 0.3×	60 1.0×	99	800
Fabrice Paillet United States	14	834 1.8×	99 0.7×	17 0.2×	87 1.1×	58 1.0×	21	1.0k
G. Schrom United States	17	1.3k 2.9×	146 1.0×	38 0.5×	113 1.4×	69 1.1×	37	1.5k
Daeyeon Kim United States	16	905 1.9×	156 1.1×	39 0.5×	135 1.7×	6 0.1×	54	1.1k
S.A. Bota Spain	15	655 1.4×	199 1.4×	29 0.4×	34 0.4×	15 0.3×	117	766
Dong‐Jin Lee South Korea	14	693 1.5×	271 1.9×	20 0.3×	28 0.4×	8 0.1×	50	752
Xiaosen Liu United States	19	944 2.0×	61 0.4×	53 0.7×	334 4.3×	219 3.6×	72	1.1k
Dong‐Wook Kim South Korea	17	826 1.8×	26 0.2×	27 0.3×	38 0.5×	114 1.9×	95	1.0k
M. del Mar Hershenson United States	14	2.0k 4.4×	162 1.1×	37 0.5×	115 1.5×	102 1.7×	20	2.2k

Countries citing papers authored by Kai–Chiang Wu

Since Specialization

Citations

This map shows the geographic impact of Kai–Chiang Wu'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 Kai–Chiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai–Chiang Wu more than expected).

Fields of papers citing papers by Kai–Chiang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai–Chiang Wu. 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 Kai–Chiang Wu. The network helps show where Kai–Chiang Wu may publish in the future.

Co-authorship network of co-authors of Kai–Chiang Wu

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

All Works

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20 of 20 papers shown

Wu, Kai–Chiang, et al.. (2024). Synergizing GCN and GAT for Hardware Trojan Detection and Localization. 161–162.

Chang, Chi-Chih, et al.. (2024). FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer. 2470–2479. 3 indexed citations

Wu, Kai–Chiang, et al.. (2024). Wafer-View Defect-Pattern-Prominent GDBN Method Using MetaFormer Variant. 76–80.

Chen, Ying-Yen, et al.. (2024). Identifying Good-Dice-in-Bad-Neighborhoods Using Artificial Neural Networks. IEEE Transactions on Semiconductor Manufacturing. 37(3). 280–292. 2 indexed citations

Wu, Kai–Chiang, et al.. (2023). Enhancing Good-Die-in-Bad-Neighborhood Methodology with Wafer-Level Defect Pattern Information. 357–366. 2 indexed citations

Wu, Kai–Chiang, et al.. (2023). Outlier Detection for Analog Tests Using Deep Learning Techniques. 2 indexed citations

Wang, Wei‐Chun, et al.. (2022). Room-Temperature Fabricated Multilevel Nonvolatile Lead-Free Cesium Halide Memristors for Reconfigurable In-Memory Computing. ACS Nano. 16(8). 12979–12990. 46 indexed citations

Chen, Ying-Yen, et al.. (2022). Improving Cell-Aware Test for Intra-Cell Short Defects. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 436–441. 1 indexed citations

Chen, Ying-Yen, et al.. (2021). Identifying Good-Dice-in-Bad-Neighborhoods Using Artificial Neural Networks. 1–7. 10 indexed citations

10.

Wu, Kai–Chiang, et al.. (2020). Test Methodology for Defect-based Bridge Faults. 106–111. 1 indexed citations

11.

Li, Shouchun, et al.. (2018). Lifetime Reliability Trojan Based on Exploring Malicious Aging. 74–79.

12.

Wu, Kai–Chiang, et al.. (2012). Mitigating lifetime underestimation: a system-level approach considering temperature variations and correlations between failure mechanisms. Design, Automation, and Test in Europe. 1269–1274. 4 indexed citations

13.

Farber, E., et al.. (2012). Broadband Microwave Measurements of Overdoped Y0.9Ca0.1Ba2Cu3O7−δ Films Using Corbino Geometry. Journal of Superconductivity and Novel Magnetism. 26(4). 1111–1114. 1 indexed citations

14.

Wu, Kai–Chiang, et al.. (2011). Analysis and mitigation of NBTI-induced performance degradation for power-gated circuits. 139–144. 7 indexed citations

15.

Wu, Kai–Chiang & Diana Marculescu. (2011). Aging-aware timing analysis and optimization considering path sensitization. 1–6. 26 indexed citations

16.

Wu, Kai–Chiang & Diana Marculescu. (2010). Clock skew scheduling for soft-error-tolerant sequential circuits. Design, Automation, and Test in Europe. 717–722. 2 indexed citations

17.

Wu, Kai–Chiang & Diana Marculescu. (2009). Joint logic restructuring and pin reordering against NBTI-induced performance degradation. Design, Automation, and Test in Europe. 75–80. 34 indexed citations

18.

Wu, Kai–Chiang & Diana Marculescu. (2009). Joint logic restructuring and pin reordering against NBTI-induced performance degradation. 75–80. 29 indexed citations

19.

Wu, Kai–Chiang & Diana Marculescu. (2008). Soft error rate reduction using redundancy addition and removal. Asia and South Pacific Design Automation Conference. 559–564. 21 indexed citations

20.

Miškov-Živanov, Nataša, Kai–Chiang Wu, & Diana Marculescu. (2008). Process variability-aware transient fault modeling and analysis. 685–690. 16 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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