Hsiang-Lan Lung

838 total citations
32 papers, 631 citations indexed

About

Hsiang-Lan Lung is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, Hsiang-Lan Lung has authored 32 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 19 papers in Materials Chemistry and 4 papers in Computer Networks and Communications. Recurrent topics in Hsiang-Lan Lung's work include Advanced Memory and Neural Computing (26 papers), Phase-change materials and chalcogenides (16 papers) and Semiconductor materials and devices (9 papers). Hsiang-Lan Lung is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Phase-change materials and chalcogenides (16 papers) and Semiconductor materials and devices (9 papers). Hsiang-Lan Lung collaborates with scholars based in Taiwan, United States and Hong Kong. Hsiang-Lan Lung's co-authors include M. BrightSky, Huai‐Yu Cheng, Chung Lam, Sang‐Bum Kim, Jau-Yi Wu, Wei-Chih Chien, Evangelos Eleftheriou, Haralampos Pozidis, Geoffrey W. Burr and Abu Sebastian and has published in prestigious journals such as Scientific Reports, IEEE Journal of Solid-State Circuits and Journal of Physics D Applied Physics.

In The Last Decade

Hsiang-Lan Lung

30 papers receiving 612 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hsiang-Lan Lung Taiwan	10	566	300	93	85	65	32	631
N. Castellani France	16	697 1.2×	269 0.9×	94 1.0×	123 1.4×	99 1.5×	57	739
Kyung‐Chang Ryoo South Korea	13	596 1.1×	341 1.1×	138 1.5×	35 0.4×	94 1.4×	42	683
Agostino Pirovano Italy	12	607 1.1×	390 1.3×	127 1.4×	64 0.8×	105 1.6×	16	671
Shosuke Fujii Japan	15	706 1.2×	238 0.8×	42 0.5×	48 0.6×	51 0.8×	53	748
Yoon-Jong Song South Korea	9	499 0.9×	180 0.6×	47 0.5×	93 1.1×	45 0.7×	13	588
Alvaro Padilla United States	10	705 1.2×	330 1.1×	147 1.6×	60 0.7×	119 1.8×	12	755
Takumi Mikawa Japan	16	993 1.8×	167 0.6×	145 1.6×	67 0.8×	212 3.3×	33	1.1k
Xiaoyong Xue China	15	587 1.0×	154 0.5×	35 0.4×	80 0.9×	100 1.5×	86	716
Ming-Hsiu Lee Taiwan	10	334 0.6×	170 0.6×	59 0.6×	44 0.5×	35 0.5×	41	402
Frederick T. Chen Taiwan	18	959 1.7×	142 0.5×	129 1.4×	58 0.7×	213 3.3×	38	999

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-authorship network of co-authors of Hsiang-Lan Lung

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang-Lan Lung. A scholar is included among the top collaborators of Hsiang-Lan Lung 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 Hsiang-Lan Lung. Hsiang-Lan Lung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chien, Wei-Chih, Asit K. Ray, Erh-Kun Lai, et al.. (2024). A GexSe1-x switch-only-memory technology through polarized atomic distribution. Scientific Reports. 14(1). 22115–22115.

Lee, Ming-Hsiu, et al.. (2021). ReRAM-Based Pseudo-True Random Number Generator With High Throughput and Unpredictability Characteristics. IEEE Transactions on Electron Devices. 68(4). 1593–1597. 10 indexed citations

Lin, Yu‐Hsuan, Dai-Ying Lee, Chao‐Hung Wang, et al.. (2020). Impacts and solutions of nonvolatile-memory-induced weight error in the computing-in-memory neural network system. Japanese Journal of Applied Physics. 59(SG). SGGB15–SGGB15. 1 indexed citations

Engel, Jesse, Sukru Burc Eryilmaz, Weier Wan, et al.. (2020). Author Correction: Analog Coding in Emerging Memory Systems. Scientific Reports. 10(1). 13404–13404. 1 indexed citations

Engel, Jesse, Sukru Burc Eryilmaz, Weier Wan, et al.. (2020). Analog Coding in Emerging Memory Systems. Scientific Reports. 10(1). 6831–6831. 6 indexed citations

Lin, Yu‐Hsuan, Liangyu Chen, Han-Wen Hu, et al.. (2020). In-Memory-Searching Architecture Based on 3D-NAND Technology with Ultra-high Parallelism. 36.1.1–36.1.4. 14 indexed citations

Cheng, Huai‐Yu, Fabio Carta, Wei-Chih Chien, Hsiang-Lan Lung, & M. BrightSky. (2019). 3D cross-point phase-change memory for storage-class memory. Journal of Physics D Applied Physics. 52(47). 473002–473002. 85 indexed citations

Lai, Erh-Kun, Dai-Ying Lee, Jau-Yi Wu, et al.. (2017). Sidewall electrode TiO _x /TiO _x N _y resistive random access memory with excellent memory window control and reliability using plasma oxidation and a novel degradation-detecting writing algorithm. Japanese Journal of Applied Physics. 56(4S). 04CE11–04CE11.

Burr, Geoffrey W., M. BrightSky, Abu Sebastian, et al.. (2016). Recent Progress in Phase-ChangeMemory Technology. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 6(2). 146–162. 280 indexed citations

10.

Khwa, Win-San, Meng‐Fan Chang, Jau-Yi Wu, et al.. (2016). A Resistance Drift Compensation Scheme to Reduce MLC PCM Raw BER by Over $100\times $ for Storage Class Memory Applications. IEEE Journal of Solid-State Circuits. 52(1). 218–228. 18 indexed citations

11.

Engel, Jesse, Sukru Burc Eryilmaz, Sang‐Bum Kim, et al.. (2014). Capacity optimization of emerging memory systems: A shannon-inspired approach to device characterization. 29.4.1–29.4.4. 5 indexed citations

12.

Chien, Wei-Chih, Wei-Chen Chen, Dai-Ying Lee, et al.. (2013). A novel high performance WO x ReRAM based on thermally-induced SET operation. Symposium on VLSI Technology. 2 indexed citations

13.

Lin, Yu‐Yu, Wei-Chih Chien, Erh-Kun Lai, et al.. (2013). A low-cost, forming-free WO<inf>x</inf> ReRAM using novel self-aligned photo-induced oxidation. 20.7.1–20.7.4. 3 indexed citations

14.

Du, Pei-Ying, Jau-Yi Wu, Tzu‐Hsuan Hsu, et al.. (2012). The impact of melting during reset operation on the reliability of phase change memory. 6C.2.1–6C.2.6. 4 indexed citations

15.

Li, Lin, Bipin Rajendran, Thomas D. Happ, et al.. (2011). Driving Device Comparison for Phase-Change Memory. IEEE Transactions on Electron Devices. 58(3). 664–671. 6 indexed citations

16.

Lin, Yu‐Yu, Wei-Chih Chien, Yi‐Chou Chen, et al.. (2011). A novel retention-enhanced structure and a reset transient model for energy-efficient electrochemical conducting bridge resistive memory. 4. 1–2. 1 indexed citations

17.

Chien, Wei-Chih, Ming-Hsiu Lee, Yu‐Yu Lin, et al.. (2011). Multi-level 40nm WO<inf>X</inf> resistive memory with excellent reliability. 31.5.1–31.5.4. 27 indexed citations

18.

Li, Jing, Richard C. Jordan, M. Breitwisch, et al.. (2011). A Novel Reconfigurable Sensing Scheme for Variable Level Storage in Phase Change Memory. 1–4. 14 indexed citations

19.

Rajendran, Bipin, Hsiang-Lan Lung, & Chung Lam. (2007). Phase change memory — opportunities and challenges. 92–95. 3 indexed citations

20.

Schrott, A. G., Hsiang-Lan Lung, Thomas D. Happ, & Chung Lam. (2007). Phase-Change Memory Development Status. 1–2. 5 indexed citations

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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