Hsin-Lu Chen

601 citations
17 papers · 531 · h-index 13

Impact in

Papers in

Hsin-Lu Chen

17 papers receiving 522 citations

Peers

Hsin-Lu Chen
Comparison fields: 5 of 21
  • Polymers and Plastics 165
  • Electrical and Electronic Engineering 520
  • Cellular and Molecular Neuroscience 112
  • Materials Chemistry 165
  • Cognitive Neuroscience 16
Replace Ijaz Talib with:
Ijaz Talib Pakistan
Godeuni Choi South Korea
Stefan Petzold Germany
Chen-Hsi Lin Taiwan
Chun-Chieh Lin Taiwan
Sang Jung Kang South Korea
Jiun-Jia Huang Taiwan
Y. Gonzalez-Velo United States
Mehr Khalid Rahmani South Korea
S. U. Sharath Germany
Hsin-Lu Chen relative to Ijaz Talib Pakistan Ijaz Talib's profile →
Citations per field
00.5×2.5×
Ijaz Talib · 1×
Citations per year

Countries citing papers authored by Hsin-Lu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Lu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Lu Chen. 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 Hsin-Lu Chen. The network helps show where Hsin-Lu Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsin-Lu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsin-Lu Chen Line = papers co-authored together Hsin-Lu Chen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2015128
2 201460
3 201445
4 201444
5 201430
6 201329
7 201427
8 201425
9 201524
10 201424
11 201517
12 201717
13 201415
14 201612
15 201312
16 201711
17 201711

About Hsin-Lu Chen

Hsin-Lu Chen is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience, Materials Chemistry and Cognitive Neuroscience, having authored 17 papers that have together received 531 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Transition Metal Oxide Nanomaterials (7 papers), Semiconductor materials and devices (5 papers), Neuroscience and Neural Engineering (4 papers), Thin-Film Transistor Technologies (3 papers), Electronic and Structural Properties of Oxides (2 papers) and Silicon Nanostructures and Photoluminescence (2 papers). The work is most often cited by research in Polymers and Plastics (165 citations), Electrical and Electronic Engineering (520 citations), Cellular and Molecular Neuroscience (112 citations), Materials Chemistry (165 citations) and Cognitive Neuroscience (16 citations). Hsin-Lu Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kuan‐Chang Chang, Ting‐Chang Chang, Tsung‐Ming Tsai, Tian-Jian Chu, Min-Chen Chen, Simon M. Sze, Jin‐Cheng Zheng, Jung‐Hui Chen, Yong-En Syu and Chih‐Cheng Shih. Their work appears in journals such as IEEE Electron Device Letters, Applied Physics Letters, Nanoscale Research Letters, Japanese Journal of Applied Physics and Journal of Applied Physics.

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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