Jingwen Leng

2.7k total citations · 1 hit paper
103 papers, 1.8k citations indexed

About

Jingwen Leng is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Jingwen Leng has authored 103 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 43 papers in Hardware and Architecture and 37 papers in Computer Networks and Communications. Recurrent topics in Jingwen Leng's work include Parallel Computing and Optimization Techniques (38 papers), Advanced Neural Network Applications (20 papers) and Cloud Computing and Resource Management (16 papers). Jingwen Leng is often cited by papers focused on Parallel Computing and Optimization Techniques (38 papers), Advanced Neural Network Applications (20 papers) and Cloud Computing and Resource Management (16 papers). Jingwen Leng collaborates with scholars based in China, United States and United Kingdom. Jingwen Leng's co-authors include Vijay Janapa Reddi, Minyi Guo, Ahmed ElTantawy, Syed Gilani, Tor M. Aamodt, Tayler Hetherington, Nam Sung Kim, Quan Chen, Minsoo Rhu and Cong Guo and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industry Applications and IEEE Transactions on Computers.

In The Last Decade

Jingwen Leng

93 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingwen Leng China	22	980	876	660	398	346	103	1.8k
Minsoo Rhu South Korea	19	784 0.8×	651 0.7×	745 1.1×	770 1.9×	642 1.9×	49	1.9k
Cliff Young United States	21	1.1k 1.1×	825 0.9×	668 1.0×	289 0.7×	452 1.3×	39	1.9k
Jaewoong Sim United States	18	802 0.8×	655 0.7×	631 1.0×	532 1.3×	378 1.1×	33	1.6k
Juan Gómez-Luna Switzerland	22	898 0.9×	828 0.9×	657 1.0×	259 0.7×	388 1.1×	103	1.8k
Shuaiwen Leon Song United States	23	1.1k 1.1×	959 1.1×	387 0.6×	361 0.9×	370 1.1×	80	1.6k
Michael Carbin United States	22	825 0.8×	611 0.7×	625 0.9×	319 0.8×	796 2.3×	61	2.0k
Stephen W. Keckler United States	24	2.0k 2.1×	1.8k 2.0×	790 1.2×	313 0.8×	272 0.8×	43	2.7k
Sudhakar Yalamanchili United States	29	1.8k 1.9×	1.9k 2.2×	999 1.5×	379 1.0×	258 0.7×	130	2.8k
Cody Hao Yu United States	15	492 0.5×	326 0.4×	422 0.6×	379 1.0×	364 1.1×	29	1.2k
Eric S. Chung United States	16	971 1.0×	867 1.0×	537 0.8×	390 1.0×	342 1.0×	31	1.7k

Countries citing papers authored by Jingwen Leng

Since Specialization

Citations

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

Fields of papers citing papers by Jingwen Leng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwen Leng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lu, Liqiang, et al.. (2025). Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator. 719–732.

2.

Liu, Zihan, Jingwen Leng, Minyi Guo, et al.. (2025). StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. 1189–1202.

3.

Zhou, Yangjie, Jingwen Leng, Zihan Liu, et al.. (2025). Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks. 247–263.

4.

Zhou, Yangjie, Zihan Liu, Peng Chen, et al.. (2025). A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. 167–184.

5.

Li, Chao, Jiacheng Liu, Yang Hu, et al.. (2024). A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 167–181. 2 indexed citations

6.

Feng, Yu, Zihan Liu, Jingwen Leng, Minyi Guo, & Yuhao Zhu. (2024). Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. 1293–1308. 10 indexed citations

7.

Guo, Cong, et al.. (2024). GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. 450–466. 7 indexed citations

8.

Zhang, Chen, Yang Wang, Cong Guo, et al.. (2024). DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. IEEE Transactions on Computers. 74(2). 341–355. 3 indexed citations

9.

Leng, Jingwen, Fan Yang, Yunxin Liu, et al.. (2024). Amanda: Unified Instrumentation Framework for Deep Neural Networks. 1–18. 3 indexed citations

10.

Zhou, Yangjie, Jingwen Leng, Zihan Liu, et al.. (2023). AdaptGear. 52–62. 2 indexed citations

11.

He, Ziwei, et al.. (2023). Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. 8954–8966. 2 indexed citations

12.

Leng, Jingwen, et al.. (2023). Development of a 3-DOF Cylindrical Ultrasonic Motor Based on Non-Standard Modes. Applied Sciences. 13(18). 10096–10096. 3 indexed citations

13.

Zhou, Yangjie, et al.. (2023). DistSim. 112–122. 5 indexed citations

14.

Zhang, Lexin, et al.. (2023). Enhancing Privacy in Large Language Model with Homomorphic Encryption and Sparse Attention. Applied Sciences. 13(24). 13146–13146. 3 indexed citations

15.

Liu, Zihan, Jingwen Leng, Zhihui Zhang, et al.. (2022). VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. 388–401. 34 indexed citations

16.

Chen, Quan, et al.. (2022). Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. 800–813. 25 indexed citations

17.

Leng, Jingwen, et al.. (2021). A multi-degree-of-freedom clamping type traveling-wave ultrasonic motor. Ultrasonics. 119. 106621–106621. 22 indexed citations

18.

Chen, Quan, et al.. (2021). Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. 290–298. 10 indexed citations

19.

Chen, Quan, Jingwen Leng, Kai Yu, et al.. (2020). CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs. 853–863. 9 indexed citations

20.

Li, Chao, Quan Chen, Jingwen Leng, et al.. (2018). DR DRAM: Accelerating Memory-Read-Intensive Applications. 30. 301–309. 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.

Explore authors with similar magnitude of impact