Darsen D. Lu

2.2k total citations
63 papers, 1.4k citations indexed

About

Darsen D. Lu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Darsen D. Lu has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Darsen D. Lu's work include Semiconductor materials and devices (46 papers), Advancements in Semiconductor Devices and Circuit Design (39 papers) and Ferroelectric and Negative Capacitance Devices (24 papers). Darsen D. Lu is often cited by papers focused on Semiconductor materials and devices (46 papers), Advancements in Semiconductor Devices and Circuit Design (39 papers) and Ferroelectric and Negative Capacitance Devices (24 papers). Darsen D. Lu collaborates with scholars based in United States, Taiwan and Germany. Darsen D. Lu's co-authors include Yu Zhu, Ali M. Niknejad, Wilfried Haensch, George S. Tulevski, Shu-Jen Han, Qing Cao, Chenming Hu, Mohan V. Dunga, Yogesh Singh Chauhan and Sourabh Khandelwal and has published in prestigious journals such as Nature Nanotechnology, Advanced Functional Materials and Materials Science and Engineering A.

In The Last Decade

Darsen D. Lu

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darsen D. Lu United States 18 1.1k 429 276 80 50 63 1.4k
Mindy D. Bishop United States 8 587 0.5× 523 1.2× 269 1.0× 103 1.3× 53 1.1× 9 930
Tathagata Srimani United States 9 576 0.5× 526 1.2× 265 1.0× 104 1.3× 52 1.0× 20 927
Huiwen Shi China 7 361 0.3× 473 1.1× 245 0.9× 76 0.9× 52 1.0× 15 684
Julian J. McMorrow United States 14 472 0.4× 552 1.3× 229 0.8× 85 1.1× 89 1.8× 17 784
Yabin Sun China 14 870 0.8× 472 1.1× 187 0.7× 66 0.8× 31 0.6× 105 1.1k
Pritpal S. Kanhaiya United States 7 353 0.3× 362 0.8× 174 0.6× 63 0.8× 39 0.8× 8 612
Daewon Ha South Korea 19 1.6k 1.5× 414 1.0× 184 0.7× 121 1.5× 55 1.1× 86 1.7k
Nicholas Trainor United States 13 683 0.6× 627 1.5× 216 0.8× 55 0.7× 54 1.1× 25 1.0k
Jinjuan Xiang China 18 1.2k 1.1× 497 1.2× 182 0.7× 156 1.9× 18 0.4× 116 1.3k
Rahul Pendurthi United States 11 555 0.5× 637 1.5× 172 0.6× 48 0.6× 32 0.6× 11 875

Countries citing papers authored by Darsen D. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Darsen D. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darsen D. Lu. 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 Darsen D. Lu. The network helps show where Darsen D. Lu may publish in the future.

Co-authorship network of co-authors of Darsen D. Lu

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

All Works

20 of 20 papers shown
1.
Yang, Cheng‐Han, et al.. (2024). A Hardware Friendly Variation-Tolerant Framework for RRAM-Based Neuromorphic Computing. IEEE Transactions on Circuits and Systems I Regular Papers. 71(12). 6419–6432. 3 indexed citations
2.
3.
Chen, Yuqiang, Jianbin Xu, Suping Pan, et al.. (2023). Effects of initial orientation on microstructure evolution of aluminum single crystals during hot deformation. Materials Science and Engineering A. 883. 145502–145502. 10 indexed citations
4.
Chen, Kuan‐Ting, et al.. (2023). Bilayered Oxide Heterostructure‐Mediated Capacitance‐Based Neuroplasticity Modulation for Neuromorphic Classification. Advanced Functional Materials. 33(52). 14 indexed citations
5.
Lin, Wen‐Chin, Han‐Pang Huang, Kuo-Hsing Kao, et al.. (2023). MOSFET Characterization with Reduced Supply Voltage at Low Temperatures for Power Efficiency Maximization. 9b 1. 9–12. 1 indexed citations
6.
Li, Cheng-Ying, et al.. (2023). HfTaOx Rectifying Layer for HfOx-Based RRAM for High-Accuracy Neuromorphic Computing Applications. ACS Applied Electronic Materials. 5(5). 2566–2573. 2 indexed citations
7.
Tsai, Cheng‐Hsien, Yu‐Ming Chang, Po-Jung Sung, et al.. (2022). 3-D Monolithic Stacking of Complementary-FET on CMOS for Next Generation Compute-In-Memory SRAM. IEEE Journal of the Electron Devices Society. 11. 107–113. 3 indexed citations
8.
Lu, Darsen D., et al.. (2022). Impact of the Barrier Layer on the High Thermal and Mechanical Stability of a Flexible Resistive Memory in a Neural Network Application. ACS Applied Electronic Materials. 4(3). 1072–1081. 8 indexed citations
9.
De, Sourav, et al.. (2021). Robust Binary Neural Network Operation From 233 K to 398 K via Gate Stack and Bias Optimization of Ferroelectric FinFET Synapses. IEEE Electron Device Letters. 42(8). 1144–1147. 23 indexed citations
10.
De, Sourav, Darsen D. Lu, Yao‐Jen Lee, et al.. (2021). Ultra-Low Power Robust 3bit/cell Hf 0.5 Zr 0.5 O 2 Ferroelectric FinFET with High Endurance for Advanced Computing-In-Memory Technology. Symposium on VLSI Technology. 1–2. 21 indexed citations
11.
De, Sourav, et al.. (2021). Uniform Crystal Formation and Electrical Variability Reduction in Hafnium-Oxide-Based Ferroelectric Memory by Thermal Engineering. ACS Applied Electronic Materials. 3(2). 619–628. 42 indexed citations
12.
De, Sourav, et al.. (2021). Compact model of retention characteristics of ferroelectric FinFET synapse with MFIS gate stack. Semiconductor Science and Technology. 37(2). 24001–24001. 5 indexed citations
13.
Lu, Darsen D., et al.. (2020). Computationally efficient compact model for ferroelectric field-effect transistors to simulate the online training of neural networks. Semiconductor Science and Technology. 35(9). 95007–95007. 14 indexed citations
14.
De, Sourav, et al.. (2020). Compact model for PZT ferroelectric capacitors with voltage dependent switching behavior. Semiconductor Science and Technology. 35(5). 55033–55033. 2 indexed citations
15.
Chang, Tay‐Rong, et al.. (2019). Impact of Semiconductor Permittivity Reduction on Electrical Characteristics of Nanoscale MOSFETs. IEEE Transactions on Electron Devices. 66(6). 2509–2512. 5 indexed citations
16.
Cao, Qing, Shu-Jen Han, George S. Tulevski, et al.. (2013). Arrays of single-walled carbon nanotubes with full surface coverage for high-performance electronics. Nature Nanotechnology. 8(3). 180–186. 404 indexed citations
17.
Hu, Chenming, et al.. (2012). BSIM-IMG: A Turnkey compact model for fully depleted technologies. 1–24. 5 indexed citations
18.
Lu, Darsen D.. (2011). PhD Dissertation: Compact Models for Future Generation CMOS. UC Berkeley. 3 indexed citations
19.
Lu, Darsen D., Sriramkumar Venugopalan, Weize Xiong, et al.. (2010). Global parameter extraction for a multi-gate MOSFETs compact model. 194–197. 13 indexed citations
20.
Dunga, Mohan V., et al.. (2006). BSIM4 and BSIM Multi-Gate Progress. 3(2006). 658–661. 6 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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