Cheng-Han Lu

502 total citations · 1 hit paper
10 papers, 332 citations indexed

About

Cheng-Han Lu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Cheng-Han Lu has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Mechanical Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Cheng-Han Lu's work include Advanced Thermodynamic Systems and Engines (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Cheng-Han Lu is often cited by papers focused on Advanced Thermodynamic Systems and Engines (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Cheng-Han Lu collaborates with scholars based in Taiwan and China. Cheng-Han Lu's co-authors include Tsung-Yung Jonathan Chang, Yi-Chun Shih, Yu-Der Chih, Tan‐Li Chou, Chia-Fu Lee, H. Mori, Hidehiro Fujiwara, Bin‐Juine Huang, Yuxiao Wang and Po-Hao Lee and has published in prestigious journals such as Physics of Fluids, Cryogenics and 2021 IEEE International Electron Devices Meeting (IEDM).

In The Last Decade

Cheng-Han Lu

10 papers receiving 326 citations

Hit Papers

16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based ... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications
    2021 206 citations Yu-Der Chih, Po-Hao Lee et al. profile →

Peers

Cheng-Han Lu
Nor Zaidi Haron Malaysia
Minah Lee United States
Bi Wu China
Dustin Richmond United States
Charbel Sakr United States
Toshiaki Kitamura Japan
S. Masui Japan
Po-Hao Lee Taiwan
Jianfei Jiang China
Chengzhi Wang China
Nor Zaidi Haron Malaysia
Cheng-Han Lu
Citations per year, relative to Cheng-Han Lu Cheng-Han Lu (= 1×) peers Nor Zaidi Haron

Countries citing papers authored by Cheng-Han Lu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Han Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Han Lu

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

All Works

10 of 10 papers shown
1.
Yao, Xiongliang, et al.. (2024). Similarity of scaled-down tests of water entry slamming considering the effects of atmospheric pressure and density. Physics of Fluids. 36(12). 4 indexed citations
2.
3.
4.
Lee, Chia-Fu, Cheng-Han Lu, H. Mori, et al.. (2022). A 12nm 121-TOPS/W 41.6-TOPS/mm2 All Digital Full Precision SRAM-based Compute-in-Memory with Configurable Bit-width For AI Edge Applications. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 24–25. 46 indexed citations
5.
Chih, Yu-Der, Po-Hao Lee, Hidehiro Fujiwara, et al.. (2021). 16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications. 252–254. 206 indexed citations breakdown →
6.
Wu, Yiliang, Huai Huang, Ching‐Hui Tsai, et al.. (2021). Fully Self-Aligned Via Integration for Interconnect Scaling Beyond 3nm Node. 2021 IEEE International Electron Devices Meeting (IEDM). 22.1.1–22.1.4. 17 indexed citations
7.
Huang, Bin‐Juine & Cheng-Han Lu. (1996). Split-type free-displacer Stirling refrigerator design using linear network analysis. Cryogenics. 36(12). 1005–1017. 9 indexed citations
8.
Huang, Bin‐Juine & Cheng-Han Lu. (1995). Linear network analysis of regenerator in a cyclic-flow system. Cryogenics. 35(3). 203–207. 10 indexed citations
9.
Huang, Bin‐Juine & Cheng-Han Lu. (1994). Linear network analysis of split-type stirling refrigerator. Cryogenics. 34. 207–210. 2 indexed citations
10.
Huang, Bin‐Juine & Cheng-Han Lu. (1993). Dynamic response of regenerator in cyclic flow system. Cryogenics. 33(11). 1046–1052. 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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2026