Weichen Liu

3.3k total citations
197 papers, 2.4k citations indexed

About

Weichen Liu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Weichen Liu has authored 197 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Networks and Communications, 86 papers in Hardware and Architecture and 85 papers in Electrical and Electronic Engineering. Recurrent topics in Weichen Liu's work include Parallel Computing and Optimization Techniques (63 papers), Interconnection Networks and Systems (58 papers) and Photonic and Optical Devices (33 papers). Weichen Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (63 papers), Interconnection Networks and Systems (58 papers) and Photonic and Optical Devices (33 papers). Weichen Liu collaborates with scholars based in Singapore, China and Hong Kong. Weichen Liu's co-authors include Jiang Xu, Yaoyao Ye, Xiaowen Wu, Wei Zhang, Nan Guan, Mahdi Nikdast, Xuan Wang, Liang Feng, Lei Yang and Mengquan Li and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Weichen Liu

181 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weichen Liu Singapore 27 1.2k 896 714 405 202 197 2.4k
Chung‐Wei Lin Taiwan 22 935 0.8× 367 0.4× 355 0.5× 185 0.5× 106 0.5× 100 1.5k
Oliver Bringmann Germany 19 381 0.3× 439 0.5× 637 0.9× 215 0.5× 237 1.2× 205 1.5k
Naehyuck Chang South Korea 36 2.9k 2.4× 1.1k 1.2× 1.3k 1.8× 166 0.4× 409 2.0× 236 4.4k
Goran Konjevod United States 21 356 0.3× 704 0.8× 378 0.5× 113 0.3× 82 0.4× 49 1.5k
Feng Liang China 25 1.8k 1.5× 294 0.3× 210 0.3× 222 0.5× 660 3.3× 147 2.9k
Qiang Zhu China 21 380 0.3× 754 0.8× 249 0.3× 202 0.5× 110 0.5× 81 1.6k
Nan Guan China 32 494 0.4× 1.7k 1.9× 2.1k 3.0× 231 0.6× 263 1.3× 262 3.3k
Mahmoud Al‐Qutayri United Arab Emirates 27 1.4k 1.2× 668 0.7× 271 0.4× 442 1.1× 196 1.0× 215 2.5k
Zhen Liu China 23 803 0.7× 221 0.2× 170 0.2× 265 0.7× 61 0.3× 179 1.8k
Kanad Ghose United States 22 1.1k 0.9× 1.3k 1.5× 1.4k 2.0× 102 0.3× 95 0.5× 137 2.6k

Countries citing papers authored by Weichen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weichen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weichen Liu. A scholar is included among the top collaborators of Weichen 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 Weichen Liu. Weichen 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
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Liu, Weichen, et al.. (2025). Optimizing the performance of in-memory file system by thread scheduling and file migration under NUMA multiprocessor systems. Journal of Systems Architecture. 159. 103344–103344. 1 indexed citations
3.
Zhang, Ziang, et al.. (2025). Sintering kinetics and performance evolution of silicon-rich mullite ceramics via deformation-thermogravimetric synchronous analysis. Journal of Alloys and Compounds. 1042. 184161–184161. 1 indexed citations
4.
Liu, Di, et al.. (2024). Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(12). 4532–4545. 1 indexed citations
5.
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Wang, Zhehui, Tao Luo, Cheng Liu, et al.. (2024). Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 916–933. 1 indexed citations
7.
8.
Kong, Hao, et al.. (2023). EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems. IEEE Embedded Systems Letters. 16(2). 174–177. 1 indexed citations
9.
Kong, Hao, et al.. (2023). EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(12). 4657–4670. 3 indexed citations
10.
Kong, Hao, et al.. (2023). CRIMP: C ompact & R eliable DNN Inference on I n- M emory P rocessing via Crossbar-Aligned Compression and Non-ideality Adaptation. ACM Transactions on Embedded Computing Systems. 22(5s). 1–25. 2 indexed citations
11.
Chen, Peng, et al.. (2023). DAG-Order: An Order-Based Dynamic DAG Scheduling for Real-Time Networks-on-Chip. ACM Transactions on Architecture and Code Optimization. 21(1). 1–24. 2 indexed citations
12.
Liu, Di, et al.. (2022). You only search once. Proceedings of the 59th ACM/IEEE Design Automation Conference. 475–480. 8 indexed citations
13.
Liu, Di, et al.. (2022). Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization. Future Generation Computer Systems. 142. 314–327. 4 indexed citations
14.
Li, Shiqing, Di Liu, & Weichen Liu. (2021). Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs. DR-NTU (Nanyang Technological University). 1–9. 12 indexed citations
15.
Jiang, Xu, et al.. (2020). On the Analysis of Parallel Real-Time Tasks With Spin Locks. IEEE Transactions on Computers. 70(2). 199–211. 11 indexed citations
16.
Yang, Lei, Weichen Liu, Nan Guan, & Nikil Dutt. (2018). Optimal Application Mapping and Scheduling for Network-on-Chips with Computation in STT-RAM Based Router. IEEE Transactions on Computers. 68(8). 1174–1189. 7 indexed citations
17.
Zhong, Kan, Duo Liu, Weichen Liu, et al.. (2018). Towards Fast and Lightweight Checkpointing for Mobile Virtualization Using NVRAM. IEEE Transactions on Parallel and Distributed Systems. 30(6). 1421–1433.
18.
Feng, Zhiwei, Nan Guan, Mingsong Lv, et al.. (2017). Efficient drone hijacking detection using onboard motion sensors. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1414–1419. 36 indexed citations
19.
Zhong, Kan, Duo Liu, Zhu Xiao, et al.. (2015). nCode: limiting harmful writes to emerging mobile NVRAM through code swapping. Design, Automation, and Test in Europe. 1305–1310. 4 indexed citations
20.
Liu, Weichen, Zonghua Gu, Jiang Xu, Yu Wang, & Mingxuan Yuan. (2009). An efficient technique for analysis of minimal buffer requirements of synchronous dataflow graphs with model checking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 61–70. 21 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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