Jie Lin

60 total papers · 660 total citations
42 papers, 464 citations indexed

About

Jie Lin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Jie Lin has authored 42 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 10 papers in Biomedical Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Jie Lin's work include Semiconductor materials and devices (8 papers), Advanced Memory and Neural Computing (7 papers) and Analog and Mixed-Signal Circuit Design (7 papers). Jie Lin is often cited by papers focused on Semiconductor materials and devices (8 papers), Advanced Memory and Neural Computing (7 papers) and Analog and Mixed-Signal Circuit Design (7 papers). Jie Lin collaborates with scholars based in China, United States and Taiwan. Jie Lin's co-authors include J.S. Yuan, Rickard Ewetz, Zhezhi He, Deliang Fan, Li–Chyong Chen, Kuei‐Hsien Chen, P.D. Roberts, Sonja Sioncke, Matty Caymax and Thomas Hoffmann and has published in prestigious journals such as Optics Express, Neurocomputing and IEEE Transactions on Computers.

In The Last Decade

Jie Lin

39 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Jie Lin 289 96 62 58 56 42 464
Chang Soo Kim 221 0.8× 47 0.5× 81 1.3× 54 0.9× 33 0.6× 32 520
Lun Wang 303 1.0× 173 1.8× 23 0.4× 34 0.6× 33 0.6× 45 472
Mingxin Yu 120 0.4× 60 0.6× 37 0.6× 46 0.8× 54 1.0× 55 506
Ali Sadr 187 0.6× 46 0.5× 19 0.3× 52 0.9× 33 0.6× 77 534
Chun Hu 231 0.8× 88 0.9× 20 0.3× 17 0.3× 53 0.9× 47 492
Tao Yin 180 0.6× 35 0.4× 106 1.7× 69 1.2× 53 0.9× 66 520
Le Zhao 337 1.2× 149 1.6× 78 1.3× 78 1.3× 17 0.3× 31 535
Slaviša Jovanović 233 0.8× 54 0.6× 58 0.9× 42 0.7× 25 0.4× 40 460
Edward Lee 169 0.6× 66 0.7× 13 0.2× 62 1.1× 139 2.5× 50 510
Hojun Lee 242 0.8× 100 1.0× 11 0.2× 32 0.6× 62 1.1× 42 490

Countries citing papers authored by Jie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Lin

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