Chang-Hsien Lin

32 total papers · 689 total citations
20 papers, 521 citations indexed

About

Chang-Hsien Lin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chang-Hsien Lin has authored 20 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chang-Hsien Lin's work include Semiconductor materials and devices (11 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Advanced Memory and Neural Computing (6 papers). Chang-Hsien Lin is often cited by papers focused on Semiconductor materials and devices (11 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Advanced Memory and Neural Computing (6 papers). Chang-Hsien Lin collaborates with scholars based in Taiwan, United States and Saudi Arabia. Chang-Hsien Lin's co-authors include Kai‐Shin Li, Min‐Cheng Chen, Wen‐Kuan Yeh, Fu-Liang Yang, Chenming Hu, Chun‐Chi Chen, Yun-Fang Hou, M. H. Lee, Sayeef Salahuddin and Ming-Han Liao and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Electron Devices and Materials Chemistry and Physics.

In The Last Decade

Chang-Hsien Lin

18 papers receiving 507 citations

Author Peers

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

Author Last Decade Papers Cites
Chang-Hsien Lin 492 199 46 32 29 20 521
Yuan-Chun Luo 521 1.1× 173 0.9× 49 1.1× 42 1.3× 36 1.2× 41 560
Tsung‐Ta Wu 467 0.9× 182 0.9× 48 1.0× 53 1.7× 28 1.0× 25 506
Daewoong Kwon 520 1.1× 202 1.0× 42 0.9× 40 1.3× 40 1.4× 35 557
C. Reita 571 1.2× 204 1.0× 23 0.5× 35 1.1× 27 0.9× 43 592
Lu Tai 572 1.2× 329 1.7× 24 0.5× 28 0.9× 34 1.2× 48 611
Shunli Ma 375 0.8× 209 1.1× 60 1.3× 60 1.9× 77 2.7× 13 454
Kyung Kyu Min 467 0.9× 102 0.5× 54 1.2× 27 0.8× 105 3.6× 36 505
Xiaohe Huang 437 0.9× 327 1.6× 39 0.8× 83 2.6× 60 2.1× 21 595
Taku Umebayashi 455 0.9× 147 0.7× 7 0.2× 43 1.3× 29 1.0× 15 486
Chengji Jin 503 1.0× 233 1.2× 18 0.4× 37 1.2× 7 0.2× 52 532

Countries citing papers authored by Chang-Hsien Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Hsien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Hsien Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Hsien Lin. A scholar is included among the top collaborators of Chang-Hsien 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 Chang-Hsien Lin. Chang-Hsien 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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