Chengshuo Yu

449 total citations
17 papers, 305 citations indexed

About

Chengshuo Yu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Chengshuo Yu has authored 17 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 3 papers in Hardware and Architecture. Recurrent topics in Chengshuo Yu's work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (4 papers). Chengshuo Yu is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (4 papers). Chengshuo Yu collaborates with scholars based in Singapore, United States and South Korea. Chengshuo Yu's co-authors include Bongjin Kim, Tony Tae-Hyoung Kim, Taegeun Yoo, Kevin Tshun Chuan Chai, Hyunjoon Kim, Shanshan Xie, Jaydeep P. Kulkarni, Joo-Young Kim, Donghyuk Kim and Kevin Chai and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

In The Last Decade

Chengshuo Yu

15 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengshuo Yu Singapore 7 268 71 58 32 19 17 305
Yiming Chen China 9 149 0.6× 29 0.4× 58 1.0× 48 1.5× 12 0.6× 49 224
Yun-Chen Lo Taiwan 7 311 1.2× 37 0.5× 78 1.3× 19 0.6× 47 2.5× 18 356
Ameya D. Patil United States 6 233 0.9× 40 0.6× 69 1.2× 28 0.9× 35 1.8× 12 265
Shanshan Xie United States 9 233 0.9× 66 0.9× 98 1.7× 39 1.2× 26 1.4× 19 293
Ioannis A. Papistas Belgium 9 232 0.9× 33 0.5× 47 0.8× 23 0.7× 42 2.2× 17 259
Zihan Wu China 8 195 0.7× 92 1.3× 69 1.2× 37 1.2× 30 1.6× 17 263
Hanbo Sun China 9 252 0.9× 44 0.6× 95 1.6× 36 1.1× 88 4.6× 22 338
Marcello Traiola France 10 260 1.0× 112 1.6× 65 1.1× 12 0.4× 22 1.2× 39 307
Ping-Chun Wu Taiwan 8 323 1.2× 92 1.3× 72 1.2× 39 1.2× 51 2.7× 16 364
Deepak Dasalukunte Sweden 8 312 1.2× 26 0.4× 34 0.6× 66 2.1× 15 0.8× 24 332

Countries citing papers authored by Chengshuo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chengshuo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengshuo Yu

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

All Works

17 of 17 papers shown
1.
Yu, Chengshuo, Keji Zhou, Yu Jiang, et al.. (2025). Enhancing All-to-All RRAM Ising Machines With Randomized Granular Update Strategies for Solving Combinatorial Optimization Problems. IEEE Transactions on Circuits and Systems I Regular Papers. 72(9). 4877–4890. 1 indexed citations
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Yu, Chengshuo, et al.. (2024). A Scalable and Reconfigurable Bit-Serial Compute-Near-Memory Hardware Accelerator for Solving 2-D/3-D Partial Differential Equations. IEEE Journal of Solid-State Circuits. 59(8). 2706–2716. 1 indexed citations
4.
Yu, Chengshuo, et al.. (2024). A Dual 7T SRAM-Based Zero-Skipping Compute- In-Memory Macro With 1-6b Binary Searching ADCs for Processing Quantized Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 71(8). 3672–3682. 3 indexed citations
5.
Kim, Hyunjoon, et al.. (2023). A 1-16b Reconfigurable 80Kb 7T SRAM-Based Digital Near-Memory Computing Macro for Processing Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 70(4). 1580–1590. 21 indexed citations
6.
Koo, Jahyun, et al.. (2023). CTLE-Ising: A Continuous-Time Latch-Based Ising Machine Featuring One-Shot Fully Parallel Spin Updates and Equalization of Spin States. IEEE Journal of Solid-State Circuits. 59(1). 173–183. 4 indexed citations
7.
Yu, Chengshuo, et al.. (2023). A Time-Domain Wavefront Computing Accelerator With a 32 × 32 Reconfigurable PE Array. IEEE Journal of Solid-State Circuits. 58(8). 2372–2382.
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Yu, Chengshuo, Taegeun Yoo, Kevin Tshun Chuan Chai, Tony Tae-Hyoung Kim, & Bongjin Kim. (2022). A 65-nm 8T SRAM Compute-in-Memory Macro With Column ADCs for Processing Neural Networks. IEEE Journal of Solid-State Circuits. 57(11). 3466–3476. 64 indexed citations
11.
Kim, Donghyuk, Chengshuo Yu, Shanshan Xie, et al.. (2022). An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12(2). 338–353. 42 indexed citations
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Yu, Chengshuo, Kevin Tshun Chuan Chai, Tony Tae-Hyoung Kim, & Bongjin Kim. (2021). A Zero-Skipping Reconfigurable SRAM In-Memory Computing Macro with Binary-Searching ADC. 131–134. 6 indexed citations
15.
Yu, Chengshuo, Kevin Tshun Chuan Chai, Tony Tae-Hyoung Kim, & Bongjin Kim. (2021). A Zero-Skipping Reconfigurable SRAM In-Memory Computing Macro with Binary-Searching ADC. 131–134. 6 indexed citations
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Yu, Chengshuo, et al.. (2020). A Logic-Compatible eDRAM Compute-In-Memory With Embedded ADCs for Processing Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 68(2). 667–679. 59 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