Pierce Chuang

1.5k total citations
25 papers, 367 citations indexed

About

Pierce Chuang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Pierce Chuang has authored 25 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Computational Theory and Mathematics. Recurrent topics in Pierce Chuang's work include Low-power high-performance VLSI design (15 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers) and Semiconductor materials and devices (5 papers). Pierce Chuang is often cited by papers focused on Low-power high-performance VLSI design (15 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers) and Semiconductor materials and devices (5 papers). Pierce Chuang collaborates with scholars based in Canada, United States and India. Pierce Chuang's co-authors include Manoj Sachdev, David Li, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Zhuo Wang, Kailash Gopalakrishnan, Leland Chang, Shubham Jain and Christos Vezyrtzis 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 Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Pierce Chuang

23 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierce Chuang Canada 11 278 92 85 80 79 25 367
Vincent Camus Switzerland 10 270 1.0× 96 1.0× 45 0.5× 45 0.6× 72 0.9× 17 319
Mohammad Saeed Ansari Canada 9 407 1.5× 127 1.4× 41 0.5× 73 0.9× 129 1.6× 16 454
Haroon Waris China 8 259 0.9× 92 1.0× 17 0.2× 46 0.6× 87 1.1× 16 295
R. Sakthivel India 10 156 0.6× 30 0.3× 33 0.4× 113 1.4× 69 0.9× 52 319
Jon J. Pimentel United States 6 158 0.6× 80 0.9× 136 1.6× 85 1.1× 14 0.2× 8 303
Linyan Mei Belgium 9 187 0.7× 83 0.9× 122 1.4× 66 0.8× 13 0.2× 17 300
Ing-Chao Lin Taiwan 12 432 1.6× 222 2.4× 29 0.3× 41 0.5× 101 1.3× 49 537
B.-D. Liu Taiwan 10 144 0.5× 106 1.2× 39 0.5× 91 1.1× 111 1.4× 19 317
Nitin Chandrachoodan India 9 175 0.6× 87 0.9× 23 0.3× 39 0.5× 30 0.4× 56 275
Joycee Mekie India 10 207 0.7× 120 1.3× 23 0.3× 21 0.3× 40 0.5× 60 271

Countries citing papers authored by Pierce Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Pierce Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierce Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Pierce Chuang. A scholar is included among the top collaborators of Pierce Chuang 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 Pierce Chuang. Pierce Chuang 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.
Chuang, Pierce, et al.. (2024). L umos : Empowering Multimodal LLMs with Scene Text Recognition. 5690–5700.
2.
Yang, Haichuan, Yuan Shangguan, Dilin Wang, et al.. (2022). Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8197–8201. 7 indexed citations
3.
Zhang, Xiaofan, Dawei Wang, Pierce Chuang, et al.. (2021). F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. 763–768. 6 indexed citations
4.
Choi, Jungwook, Swagath Venkataramani, Vijayalakshmi Srinivasan, et al.. (2019). Accurate and Efficient 2-bit Quantized Neural Networks. 1. 348–359. 73 indexed citations
5.
Lee, Dongsoo, et al.. (2018). Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. Open Access System for Information Sharing (Pohang University of Science and Technology). 4 indexed citations
6.
Wolpert, David, Seán Carey, D. Chidambarrao, et al.. (2018). IBM z14: Processor Characterization and Power Management for High-Reliability Mainframe Systems. IEEE Journal of Solid-State Circuits. 54(1). 121–132. 8 indexed citations
7.
Vezyrtzis, Christos, Pierce Chuang, Alper Buyuktosunoglu, et al.. (2018). Droop mitigation using critical-path sensors and an on-chip distributed power supply estimation engine in the z14™ enterprise processor. 300–302. 16 indexed citations
8.
Jain, Shubham, Swagath Venkataramani, Vijayalakshmi Srinivasan, et al.. (2018). Compensated-DNN. 1–6. 33 indexed citations
9.
Jenkins, K.A., et al.. (2018). Effect of HCI degradation on the variability of MOSFETS. P–RT.1. 5 indexed citations
10.
Chuang, Pierce, Christos Vezyrtzis, Alper Buyuktosunoglu, et al.. (2017). 26.2 Power supply noise in a 22nm z13™ microprocessor. 438–439. 14 indexed citations
11.
Chuang, Pierce, Manoj Sachdev, & Vincent Gaudet. (2015). VLSI implementation of high-throughput, low-energy, configurable MIMO detector. 60. 335–342. 1 indexed citations
12.
Chuang, Pierce, Manoj Sachdev, & Vincent Gaudet. (2013). A 167-ps 2.34-mW Single-Cycle 64-Bit Binary Tree Comparator With Constant-Delay Logic in 65-nm CMOS. IEEE Transactions on Circuits and Systems I Regular Papers. 61(1). 160–171. 18 indexed citations
13.
Chuang, Pierce, David Li, & Manoj Sachdev. (2012). A Low-Power High-Performance Single-Cycle Tree-Based 64-Bit Binary Comparator. IEEE Transactions on Circuits & Systems II Express Briefs. 59(2). 108–112. 34 indexed citations
14.
Chuang, Pierce, David Li, Manoj Sachdev, & Vincent Gaudet. (2012). A 148ps 135mW 64-bit adder with Constant-Delay logic in 65nm CMOS. 1–4. 2 indexed citations
15.
Li, David, Pierce Chuang, David Nairn, & Manoj Sachdev. (2011). Design and analysis of metastable-hardened flip-flops in sub-threshold region. 157–162. 8 indexed citations
16.
Li, David, Pierce Chuang, David Nairn, & Manoj Sachdev. (2011). Design and analysis of metastable-hardened flip-flops in sub-threshold region. 23. 157–162. 8 indexed citations
17.
Li, David, David J. Rennie, Pierce Chuang, David Nairn, & Manoj Sachdev. (2011). Design and analysis of metastable-hardened and soft-error tolerant high-performance, low-power flip-flops. 8. 1–8. 15 indexed citations
18.
Li, David, Pierce Chuang, & Manoj Sachdev. (2010). Design of a novel high-performance pre-discharge flip-flop (PDFF). 8. 233–236. 1 indexed citations
19.
Li, David, et al.. (2009). Design of a novel high-performance reduced clock-swing pre-discharge flip-flop. 41–44. 1 indexed citations
20.
Chuang, Pierce, David Li, & Manoj Sachdev. (2009). Design of a 64-bit low-energy high-performance adder using dynamic feedthrough logic. 1. 3038–3041. 7 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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