Hsiang-Lan Lung

900 citations
33 papers · 680 · h-index 11

Impact in

Papers in

Hsiang-Lan Lung

32 papers receiving 668 citations

Peers

Hsiang-Lan Lung
Comparison fields: 5 of 40
  • Electrical and Electronic Engineering 605
  • Hardware and Architecture 47
  • Polymers and Plastics 96
  • Materials Chemistry 309
  • Cellular and Molecular Neuroscience 76
Replace Yoon-Jong Song with:
Yoon-Jong Song South Korea
Kyung‐Chang Ryoo South Korea
R. Cheek United States
N. Castellani France
Lang Zeng China
M. Bocquet France
Alvaro Padilla United States
Hongsik Jeong South Korea
Ming-Hsiu Lee Taiwan
Takumi Mikawa Japan
Hsiang-Lan Lung relative to Yoon-Jong Song South Korea Yoon-Jong Song's profile →
Citations per field
00.5×10×15×20.7×
Yoon-Jong Song · 1×
Citations per year

Countries citing papers authored by Hsiang-Lan Lung

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang-Lan Lung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang-Lan Lung. 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 Hsiang-Lan Lung. The network helps show where Hsiang-Lan Lung may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsiang-Lan Lung, 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 Hsiang-Lan Lung Line = papers co-authored together Hsiang-Lan Lung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016288
2 201986
3 201961
4 201841
5
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
201629
6 201129
7 201820
8 201619
9 202015
10 201114
11 202110
12 20207
13 20087
14 20116
15 20185
16 20065
17 20075
18 20145
19 20164
20 20124

About Hsiang-Lan Lung

Hsiang-Lan Lung is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Computer Networks and Communications, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 33 papers that have together received 680 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Phase-change materials and chalcogenides (16 papers), Semiconductor materials and devices (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neuroscience and Neural Engineering (4 papers), Advanced Data Storage Technologies (4 papers), Liquid Crystal Research Advancements (3 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (605 citations), Hardware and Architecture (47 citations), Polymers and Plastics (96 citations), Materials Chemistry (309 citations) and Cellular and Molecular Neuroscience (76 citations). Hsiang-Lan Lung has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include M. BrightSky, Huai‐Yu Cheng, Chung Lam, Sang‐Bum Kim, Jau-Yi Wu, Wei-Chih Chien, Abu Sebastian, Evangelos Eleftheriou, Nikolaos Papandreou and Geoffrey W. Burr. Their work appears in journals such as IEEE Transactions on Electron Devices, Japanese Journal of Applied Physics, Scientific Reports, IEEE Electron Device Letters and IEEE Journal of Solid-State Circuits.

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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