Renzhi Liu

747 total citations
29 papers, 487 citations indexed

About

Renzhi Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Renzhi Liu has authored 29 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Renzhi Liu's work include Radio Frequency Integrated Circuit Design (8 papers), Advanced Memory and Neural Computing (6 papers) and Microwave Engineering and Waveguides (6 papers). Renzhi Liu is often cited by papers focused on Radio Frequency Integrated Circuit Design (8 papers), Advanced Memory and Neural Computing (6 papers) and Microwave Engineering and Waveguides (6 papers). Renzhi Liu collaborates with scholars based in United States, China and Mexico. Renzhi Liu's co-authors include Larry Pileggi, Kaushik Vaidyanathan, Brent Carlton, Richard Dorrance, Deepak Dasalukunte, Honglei Shuai, Yongping Gao, Wenxuan Li, Hechen Wang and Hui Lü and has published in prestigious journals such as Advanced Energy Materials, Journal of Colloid and Interface Science and IEEE Journal of Solid-State Circuits.

In The Last Decade

Renzhi Liu

27 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renzhi Liu United States 11 436 149 56 53 43 29 487
Chunyu Peng China 14 697 1.6× 225 1.5× 35 0.6× 36 0.7× 30 0.7× 95 738
Jinwoo Kim United States 12 443 1.0× 121 0.8× 43 0.8× 23 0.4× 19 0.4× 63 530
Qiming Zou China 12 218 0.5× 46 0.3× 47 0.8× 31 0.6× 81 1.9× 27 431
Tzu-Kun Ku Taiwan 15 698 1.6× 101 0.7× 71 1.3× 37 0.7× 20 0.5× 59 761
V. Ravi India 9 148 0.3× 37 0.2× 24 0.4× 26 0.5× 28 0.7× 49 250
Srivatsa Srinivasa United States 13 434 1.0× 90 0.6× 42 0.8× 28 0.5× 35 0.8× 31 515
Hongjung Kim South Korea 7 274 0.6× 102 0.7× 18 0.3× 19 0.4× 45 1.0× 14 334
S. Krishnan United States 12 251 0.6× 91 0.6× 68 1.2× 24 0.5× 22 0.5× 51 454
Hoonki Kim South Korea 13 482 1.1× 55 0.4× 154 2.8× 21 0.4× 6 0.1× 35 583

Countries citing papers authored by Renzhi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Renzhi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renzhi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Renzhi Liu. A scholar is included among the top collaborators of Renzhi Liu 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 Renzhi Liu. Renzhi Liu 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.
2.
Shuai, Honglei, Renzhi Liu, Wenxuan Li, et al.. (2024). Interfacial Sb O C bond and structural confinement synergistically boosting the reaction kinetics and reversibility of Sb2Se3/NC nanorods anode for sodium storage. Journal of Colloid and Interface Science. 678(Pt B). 783–794. 3 indexed citations
3.
Wang, Hechen, et al.. (2024). Enhancing AI Acceleration: A Calibration-Free, PVT-Robust Analog Compute-in-Memory Macro With Activation Functions. IEEE Solid-State Circuits Letters. 8. 9–12.
4.
Liu, Renzhi, et al.. (2023). Bismuth nanoparticles confined in multi-walled carbon nanotubes toward enhanced sodium storage anodes. Journal of Alloys and Compounds. 967. 171660–171660. 7 indexed citations
5.
Liu, Renzhi, et al.. (2023). A 2-Gb/s UWB Transceiver for Short-Range Reconfigurable FDD Wireless Networks. IEEE Journal of Solid-State Circuits. 58(5). 1285–1298. 6 indexed citations
6.
Shuai, Honglei, Renzhi Liu, Wenxuan Li, et al.. (2023). A three-dimensional interconnected molybdenum disulfide/multi-walled carbon nanotubes cathode with enlarged interlayer spacing for aqueous zinc-ion storage. Journal of Colloid and Interface Science. 639. 292–301. 10 indexed citations
7.
Wang, Hechen, et al.. (2023). A Charge Domain SRAM Compute-in-Memory Macro With C-2C Ladder-Based 8-Bit MAC Unit in 22-nm FinFET Process for Edge Inference. IEEE Journal of Solid-State Circuits. 58(4). 1037–1050. 61 indexed citations
8.
Dorrance, Richard, Deepak Dasalukunte, Hechen Wang, Renzhi Liu, & Brent Carlton. (2023). An Energy-Efficient Bayesian Neural Network Accelerator With CiM and a Time-Interleaved Hadamard Digital GRNG Using 22-nm FinFET. IEEE Journal of Solid-State Circuits. 58(10). 2826–2838. 6 indexed citations
9.
10.
Wang, Hechen, Renzhi Liu, Richard Dorrance, et al.. (2022). A 32.2 TOPS/W SRAM Compute-in-Memory Macro Employing a Linear 8-bit C-2C Ladder for Charge Domain Computation in 22nm for Edge Inference. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 36–37. 28 indexed citations
11.
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Liu, Xiaosen, Harish K. Krishnamurthy, Renzhi Liu, et al.. (2022). A 0.76V Vin Triode Region 4A Analog LDO with Distributed Gain Enhancement and Dynamic Load-Current Tracking in Intel 4 CMOS Featuring Active Feedforward Ripple Shaping and On-Chip Power Noise Analyzer. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 478–480. 10 indexed citations
13.
Dorrance, Richard, Deepak Dasalukunte, Hechen Wang, Renzhi Liu, & Brent Carlton. (2022). Energy Efficient BNN Accelerator using CiM and a Time-Interleaved Hadamard Digital GRNG in 22nm CMOS. 2–4. 5 indexed citations
14.
Zhang, Yipeng, Lijun Li, Renzhi Liu, & Changchun Zeng. (2020). DNA Primase Subunit 1 Expression in Hepatocellular Carcinoma and Its Clinical Implication. BioMed Research International. 2020(1). 9689312–9689312. 2 indexed citations
15.
Liu, Renzhi, Richard Dorrance, Deepak Dasalukunte, et al.. (2019). An 802.11ba-Based Wake-Up Radio Receiver With Wi-Fi Transceiver Integration. IEEE Journal of Solid-State Circuits. 55(5). 1151–1164. 35 indexed citations
16.
17.
Liu, Renzhi, Jeffrey A. Weldon, & Larry Pileggi. (2016). Extended statistical element selection. 1–6. 2 indexed citations
18.
Liu, Renzhi, Lawrence T. Pileggi, & Jeffrey A. Weldon. (2015). A wideband RF receiver with extended statistical element selection based harmonic rejection calibration. Integration. 52. 185–194. 2 indexed citations
19.
Vaidyanathan, Kaushik, Lars W. Liebmann, Kafai Lai, et al.. (2014). Exploiting sub-20-nm complementary metal-oxide semiconductor technology challenges to design affordable systems-on-chip. Journal of Micro/Nanolithography MEMS and MOEMS. 14(1). 11007–11007. 7 indexed citations
20.
Vaidyanathan, Kaushik, Renzhi Liu, Lars W. Liebmann, et al.. (2013). Rethinking ASIC design with next generation lithography and process integration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8684. 86840C–86840C. 10 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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