Shaojun Wei

400 total citations
32 papers, 244 citations indexed

About

Shaojun Wei is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Shaojun Wei has authored 32 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Shaojun Wei's work include Embedded Systems Design Techniques (11 papers), Interconnection Networks and Systems (11 papers) and Parallel Computing and Optimization Techniques (9 papers). Shaojun Wei is often cited by papers focused on Embedded Systems Design Techniques (11 papers), Interconnection Networks and Systems (11 papers) and Parallel Computing and Optimization Techniques (9 papers). Shaojun Wei collaborates with scholars based in China, Hong Kong and Canada. Shaojun Wei's co-authors include Shouyi Yin, Leibo Liu, Yiqi Wang, Fengbin Tu, Zihan Wu, Jie Han, Chenchen Deng, Jiqiang Chen, Wu Chen and Yubin Qin and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Shaojun Wei

28 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojun Wei China 9 132 90 80 53 43 32 244
Minxuan Zhou United States 10 239 1.8× 84 0.9× 71 0.9× 97 1.8× 67 1.6× 35 332
Kshitij Bhardwaj United States 10 156 1.2× 95 1.1× 136 1.7× 30 0.6× 62 1.4× 23 259
Jan Moritz Joseph Germany 6 142 1.1× 87 1.0× 75 0.9× 44 0.8× 49 1.1× 34 215
Emil Talpes United States 10 234 1.8× 180 2.0× 91 1.1× 42 0.8× 46 1.1× 15 355
Sumit K. Mandal United States 10 206 1.6× 79 0.9× 108 1.4× 46 0.9× 58 1.3× 31 310
Wilfred Gomes United States 8 194 1.5× 76 0.8× 73 0.9× 19 0.4× 10 0.2× 13 273
Ravi Jenkal United States 6 271 2.1× 179 2.0× 146 1.8× 70 1.3× 29 0.7× 9 387
Jiayi Huang United States 9 130 1.0× 107 1.2× 126 1.6× 47 0.9× 27 0.6× 32 244
Haoran Li Hong Kong 10 182 1.4× 92 1.0× 86 1.1× 48 0.9× 53 1.2× 33 299
Harrison Liew United States 6 134 1.0× 127 1.4× 68 0.8× 67 1.3× 19 0.4× 13 261

Countries citing papers authored by Shaojun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojun Wei. A scholar is included among the top collaborators of Shaojun Wei 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 Shaojun Wei. Shaojun Wei 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.
Wu, Zihan, Yiqi Wang, Yang Wang, et al.. (2025). CELLA: A 28nm Compute-Memory Co-Optimized Real-Time Digital CIM-Based Edge LLM Accelerator with 1.78ms-Response in Prefill and 31.32 Token/s in Decoding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–3.
3.
Wang, Yiqi, Zhen He, Zihan Wu, et al.. (2024). ETCIM: An Error-Tolerant Digital-CIM Processor with Redundancy-Free Repair and Run-Time MAC and Cell Error Correction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–2. 2 indexed citations
4.
Tu, Fengbin, Yuxuan Li, Yubin Qin, et al.. (2024). Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 396–409. 8 indexed citations
5.
Xu, Yanqing, Xiaonan Tang, Zhe Zheng, et al.. (2024). RCPE: An Excellent Performance Training Processor with RISC-V based Compression Mechanism. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 302–306.
6.
Xu, Yanqing, Xiaonan Tang, Zhe Zheng, et al.. (2024). RTPE: A High Energy Efficiency Inference Processor with RISC-V based Transformation Mechanism. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 297–301.
9.
Wei, Tingcha, Jiahao Fang, Xu Dai, et al.. (2024). TMAC: Training-Targeted Mapping and Architecture Co-Exploration for Wafer-Scale Chips. 1(4). 178–195. 3 indexed citations
11.
Ouyang, Yi, Wenping Zhu, Bohan Yang, et al.. (2024). FalconSign: An Efficient and High-Throughput Hardware Architecture for Falcon Signature Generation. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2025(1). 203–226. 3 indexed citations
12.
Tu, Fengbin, Zihan Wu, Yiqi Wang, et al.. (2023). 16.1 MuITCIM: A 28nm $2.24 \mu\mathrm{J}$/Token Attention-Token-Bit Hybrid Sparse Digital CIM-Based Accelerator for Multimodal Transformers. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 248–250. 19 indexed citations
13.
Wang, Yang, Yubin Qin, Yang Zhou, et al.. (2022). A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 1–3. 48 indexed citations
14.
Zhu, Jianfeng, Shaojun Wei, Leibo Liu, & Zhaoshi Li. (2020). Reconfigurable computing: toward software defined chips. Scientia Sinica Informationis. 50(9). 1407–1407. 2 indexed citations
15.
Liu, Dajiang, Shouyi Yin, Leibo Liu, & Shaojun Wei. (2013). Affine transformations for communication and reconfiguration optimization of loops on CGRAs. 2541–2544. 1 indexed citations
17.
Yin, Shouyi, Leibo Liu, & Shaojun Wei. (2009). Optimizing buffer usage for Networks-on-Chip design. 981–985. 2 indexed citations
18.
Yang, Chao, Shouyi Yin, Leibo Liu, & Shaojun Wei. (2009). A data-flow graph generation algorithm for a coarse-grained reconfigurable processor. 898–901. 2 indexed citations
19.
Liu, Leibo, et al.. (2008). Automatic contexts switch in loop pipeline for embedded coarse-grained reconfigurable processor. 20. 1397–1400. 2 indexed citations
20.
Chen, Hongyi, et al.. (2002). Design of a low latency high speed pipelining multiplier. 39. 551–554. 3 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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