Xinli Gu

1.1k total citations
68 papers, 808 citations indexed

About

Xinli Gu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Xinli Gu has authored 68 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hardware and Architecture, 34 papers in Electrical and Electronic Engineering and 20 papers in Control and Systems Engineering. Recurrent topics in Xinli Gu's work include VLSI and Analog Circuit Testing (37 papers), Integrated Circuits and Semiconductor Failure Analysis (29 papers) and Industrial Vision Systems and Defect Detection (15 papers). Xinli Gu is often cited by papers focused on VLSI and Analog Circuit Testing (37 papers), Integrated Circuits and Semiconductor Failure Analysis (29 papers) and Industrial Vision Systems and Defect Detection (15 papers). Xinli Gu collaborates with scholars based in United States, China and Sweden. Xinli Gu's co-authors include Krishnendu Chakrabarty, Fangming Ye, Zhaobo Zhang, Zhanglei Wang, Xin Li, Zebo Peng, Krzysztof Kuchciński, Mengyun Liu, Bill Eklow and Zhiyuan Wang and has published in prestigious journals such as Journal of Cleaner Production, Journal of environmental chemical engineering and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Xinli Gu

65 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinli Gu United States 15 386 379 215 204 158 68 808
Eric Armengaud Austria 11 193 0.5× 184 0.5× 65 0.3× 90 0.4× 27 0.2× 65 533
Georg Macher Austria 12 92 0.2× 199 0.5× 74 0.3× 84 0.4× 65 0.4× 53 534
Alessandro Pinto United States 17 431 1.1× 206 0.5× 93 0.4× 123 0.6× 31 0.2× 63 853
Jan Olaf Blech Australia 12 133 0.3× 66 0.2× 167 0.8× 68 0.3× 160 1.0× 79 595
Cinzia Bernardeschi Italy 13 183 0.5× 225 0.6× 171 0.8× 63 0.3× 20 0.1× 80 540
Françoise Simonot‐Lion France 11 531 1.4× 180 0.5× 65 0.3× 138 0.7× 48 0.3× 58 759
Alain Girault France 13 426 1.1× 67 0.2× 54 0.3× 80 0.4× 44 0.3× 45 665
Luca Durante Italy 13 121 0.3× 60 0.2× 225 1.0× 242 1.2× 38 0.2× 50 631
Olfa Mosbahi Tunisia 15 350 0.9× 96 0.3× 40 0.2× 86 0.4× 445 2.8× 64 936
Leandro Soares Indrusiak United Kingdom 17 751 1.9× 282 0.7× 81 0.4× 38 0.2× 47 0.3× 163 1.1k

Countries citing papers authored by Xinli Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xinli Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinli Gu. 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 Xinli Gu. The network helps show where Xinli Gu may publish in the future.

Co-authorship network of co-authors of Xinli Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinli Gu. A scholar is included among the top collaborators of Xinli Gu 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 Xinli Gu. Xinli Gu 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.
Zhang, Hongli, et al.. (2025). Super hygroscopic hollow biopolymer microbeads for clean water production and atmospheric water irrigation. Journal of Cleaner Production. 518. 145932–145932. 7 indexed citations
2.
Gu, Xinli, et al.. (2025). Different macroporous characteristic LiCl/CaCl2 binary salt double network hygroscopic aerogels for atmospheric water harvesting. Journal of environmental chemical engineering. 13(5). 117904–117904. 2 indexed citations
3.
Li, Xin, et al.. (2021). Unsupervised Two-Stage Root-Cause Analysis for Integrated Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(7). 2170–2184. 5 indexed citations
4.
Liu, Mengyun, Xin Li, Krishnendu Chakrabarty, & Xinli Gu. (2019). Knowledge Transfer in Board-Level Functional Fault Identification using Domain Adaptation. 10. 1–10. 6 indexed citations
5.
Chakrabarty, Krishnendu, et al.. (2019). Anomaly-Detection and Health-Analysis Techniques for Core Router Systems. 1 indexed citations
6.
Liu, Mengyun, Fangming Ye, Xin Li, Krishnendu Chakrabarty, & Xinli Gu. (2019). Board-Level Functional Fault Identification using Streaming Data. 11. 1–6. 14 indexed citations
7.
Chakrabarty, Krishnendu, et al.. (2017). Toward Predictive Fault Tolerance in a Core-Router System: Anomaly Detection Using Correlation-Based Time-Series Analysis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(10). 2111–2124. 7 indexed citations
8.
Wang, Ting, et al.. (2017). RetroDMR: Troubleshooting non-deterministic faults with retrospective DMR. 638–641. 2 indexed citations
9.
Jiang, Li, et al.. (2015). On test syndrome merging for reasoning-based board-level functional fault diagnosis. 13. 737–742. 6 indexed citations
10.
Ye, Fangming, Krishnendu Chakrabarty, Zhaobo Zhang, & Xinli Gu. (2014). Information-Theoretic Framework for Evaluating and Guiding Board-Level Functional-Fault Diagnosis. IEEE Design and Test. 31(3). 65–75. 5 indexed citations
11.
Ye, Fangming, Zhaobo Zhang, Krishnendu Chakrabarty, & Xinli Gu. (2013). Information-theoretic syndrome and root-cause analysis for guiding board-level fault diagnosis. 1–6. 9 indexed citations
12.
Ye, Fangming, Zhaobo Zhang, Krishnendu Chakrabarty, & Xinli Gu. (2012). Board-Level Functional Fault Diagnosis Using Learning Based on Incremental Support-Vector Machines. 4. 208–213. 8 indexed citations
13.
Chakrabarty, Krishnendu, et al.. (2012). Reproduction and Detection of Board-Level Functional Failure. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 31(4). 630–643. 5 indexed citations
14.
Chakrabarty, Krishnendu, et al.. (2011). Smart diagnosis: Efficient board-level diagnosis and repair using artificial neural networks. 23 indexed citations
15.
Wang, Zhiyuan, et al.. (2011). Deterministic test for the reproduction and detection of board-level functional failures. 25. 491–496. 1 indexed citations
16.
Wang, Zhanglei, et al.. (2010). Board-level fault diagnosis using an error-flow dictionary. 5. 1–10. 6 indexed citations
17.
Zhang, Zhaobo, Zhanglei Wang, Xinli Gu, & Krishnendu Chakrabarty. (2009). Physical defect modeling for fault insertion in system reliability test. 1 a. 1–10. 12 indexed citations
18.
Gu, Xinli, Krzysztof Kuchciński, & Zebo Peng. (2002). An efficient and economic partitioning approach for testability. 403–412. 1 indexed citations
19.
Gu, Xinli, et al.. (1997). A controller testability analysis and enhancement technique. 153–157. 6 indexed citations
20.
Gu, Xinli, Krzysztof Kuchciński, & Zebo Peng. (1994). Testability analysis and improvement from VHDL behavioral specifications. European Design Automation Conference. 644–649. 30 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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