Jeng-Hau Lin

22 total papers · 692 total citations
17 papers, 477 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 477 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 Handwritten Text Recognition Techniques (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 Handwritten Text Recognition Techniques (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, Ritchie Zhao, Zhiru Zhang, Tianwei Xing, Weinan Song, Wentao Zhang, Xun Jiao, Ruey‐Beei Wu and Tian‐Wei Huang 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 466 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeng-Hau Lin 289 239 149 83 49 17 477
Yaman Umuroglu 228 0.8× 264 1.1× 160 1.1× 121 1.5× 75 1.5× 12 454
Shuanglong Liu 196 0.7× 250 1.0× 200 1.3× 58 0.7× 46 0.9× 34 483
Hongxiang Fan 208 0.7× 284 1.2× 228 1.5× 71 0.9× 35 0.7× 43 537
Duncan J. M. Moss 268 0.9× 214 0.9× 162 1.1× 138 1.7× 100 2.0× 13 513
Jinwook Oh 324 1.1× 239 1.0× 95 0.6× 69 0.8× 66 1.3× 34 510
Giulio Gambardella 300 1.0× 231 1.0× 152 1.0× 170 2.0× 77 1.6× 28 531
Andrew Boutros 272 0.9× 176 0.7× 103 0.7× 238 2.9× 98 2.0× 29 513
Kodai Ueyoshi 371 1.3× 185 0.8× 115 0.8× 62 0.7× 36 0.7× 22 449
David Sheffield 235 0.8× 197 0.8× 172 1.2× 212 2.6× 146 3.0× 14 549
Tianwei Xing 192 0.7× 253 1.1× 229 1.5× 65 0.8× 63 1.3× 15 502

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

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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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