Jeng-Hau Lin

696 total citations
17 papers, 479 citations indexed

About

Jeng-Hau Lin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jeng-Hau Lin has authored 17 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Jeng-Hau Lin's work include Advanced Neural Network Applications (4 papers), Electromagnetic Compatibility and Noise Suppression (3 papers) and ECG Monitoring and Analysis (2 papers). Jeng-Hau Lin is often cited by papers focused on Advanced Neural Network Applications (4 papers), Electromagnetic Compatibility and Noise Suppression (3 papers) and ECG Monitoring and Analysis (2 papers). Jeng-Hau Lin collaborates with scholars based in United States, Taiwan and United Kingdom. Jeng-Hau Lin's co-authors include Rajesh K. Gupta, Mani Srivastava, Zhiru Zhang, Ritchie Zhao, Tianwei Xing, Wentao Zhang, Weinan Song, Xun Jiao, Tian‐Wei Huang and Ruey‐Beei Wu and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Advanced Packaging and IEEE Design and Test.

In The Last Decade

Jeng-Hau Lin

17 papers receiving 469 citations

Peers

Jeng-Hau Lin
Jungwook Choi South Korea
Juhyoung Lee South Korea
Hongxiang Fan United Kingdom
Yaman Umuroglu Norway
Shuanglong Liu United Kingdom
Andre Guntoro Germany
Jinwook Oh South Korea
Junbin Wang China
Giulio Gambardella Italy
Nicholas J. Fraser Australia
Jungwook Choi South Korea
Jeng-Hau Lin
Citations per year, relative to Jeng-Hau Lin Jeng-Hau Lin (= 1×) peers Jungwook Choi

Countries citing papers authored by Jeng-Hau Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jeng-Hau Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeng-Hau 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 Jeng-Hau Lin. The network helps show where Jeng-Hau Lin may publish in the future.

Co-authorship network of co-authors of Jeng-Hau Lin

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

All Works

17 of 17 papers shown
1.
Lin, Jeng-Hau, et al.. (2020). Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. IEEE Design and Test. 37(5). 75–84. 2 indexed citations
2.
Lin, Jeng-Hau, et al.. (2020). Training Machine Learning Network on Adreno Mobile GPUs Using OpenCL. 1–2. 1 indexed citations
3.
Lin, Jeng-Hau, et al.. (2020). Local Binary Pattern Networks. 814–823. 10 indexed citations
4.
Fang, Zhou, Jeng-Hau Lin, Mani Srivastava, & Rajesh K. Gupta. (2019). Multi-tenant mobile offloading systems for real-time computer vision applications. 21–30. 11 indexed citations
5.
Lin, Jeng-Hau, et al.. (2019). Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. 1112–1117. 5 indexed citations
6.
Lin, Jeng-Hau, et al.. (2018). Local Binary Pattern Networks for Character Recognition. 1 indexed citations
7.
Jiao, Xun, et al.. (2017). An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations. International Conference on Computer Aided Design. 945–950. 22 indexed citations
8.
9.
Zhao, Ritchie, Weinan Song, Wentao Zhang, et al.. (2017). Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs. 15–24. 303 indexed citations
10.
Lin, Jeng-Hau, Tianwei Xing, Ritchie Zhao, et al.. (2017). Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration. 344–352. 17 indexed citations
11.
Yu, Wenjian, et al.. (2016). Simulation Algorithms With Exponential Integration for Time-Domain Analysis of Large-Scale Power Delivery Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35(10). 1681–1694. 20 indexed citations
12.
Lin, Jeng-Hau, Hao Liu, Chia‐Hung Liu, et al.. (2015). An interdigitated non-contact ECG electrode for impedance compensation and signal restoration. 47. 1–4. 5 indexed citations
13.
Kang, Ilgweon, et al.. (2015). Impulse response generation from S-parameters for power delivery network simulation. 32. 277–282. 2 indexed citations
14.
15.
Liu, Hao, Hui Wang, Hao Zhuang, et al.. (2013). A non-contact biopotential sensing system with motion artifact suppression. 25. 314–318. 1 indexed citations
16.
Lin, Jeng-Hau, et al.. (2009). Fast Methodology for Determining Eye Diagram Characteristics of Lossy Transmission Lines. IEEE Transactions on Advanced Packaging. 32(1). 175–183. 36 indexed citations
17.
Lin, Jeng-Hau, et al.. (2007). Fast Algorithm for Determining Eye-Diagram Characteristics of Lossy Transmission Lines. 119–122. 2 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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