Kan Zhong

517 total citations
42 papers, 384 citations indexed

About

Kan Zhong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Kan Zhong has authored 42 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 19 papers in Electrical and Electronic Engineering and 16 papers in Hardware and Architecture. Recurrent topics in Kan Zhong's work include Advanced Data Storage Technologies (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Caching and Content Delivery (15 papers). Kan Zhong is often cited by papers focused on Advanced Data Storage Technologies (25 papers), Parallel Computing and Optimization Techniques (16 papers) and Caching and Content Delivery (15 papers). Kan Zhong collaborates with scholars based in China, Hong Kong and United States. Kan Zhong's co-authors include Duo Liu, Edwin H.‐M. Sha, Zili Shao, Zhu Xiao, Tianzheng Wang, Weichen Liu, Mingcong Song, Yang Hu, Weigong Zhang and Jing Wang and has published in prestigious journals such as IEEE Transactions on Computers, Physica A Statistical Mechanics and its Applications and Future Generation Computer Systems.

In The Last Decade

Kan Zhong

36 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kan Zhong China 10 260 159 141 57 56 42 384
J. Keaty United States 6 245 0.9× 273 1.7× 333 2.4× 27 0.5× 38 0.7× 7 535
Mohamed S. Abdelfattah Canada 11 233 0.9× 158 1.0× 239 1.7× 96 1.7× 73 1.3× 28 417
D. Pham United States 5 230 0.9× 159 1.0× 296 2.1× 28 0.5× 38 0.7× 5 417
Yoshio Masubuchi Japan 5 239 0.9× 168 1.1× 295 2.1× 29 0.5× 51 0.9× 8 433
S. Weitzel United States 8 269 1.0× 251 1.6× 381 2.7× 29 0.5× 38 0.7× 10 546
Pitch Patarasuk United States 8 199 0.8× 84 0.5× 115 0.8× 169 3.0× 116 2.1× 11 385
M. Riley United States 8 241 0.9× 226 1.4× 351 2.5× 28 0.5× 40 0.7× 10 492
Feng Shi China 11 184 0.7× 94 0.6× 133 0.9× 33 0.6× 36 0.6× 77 311
Matthew D. Sinclair United States 13 318 1.2× 160 1.0× 375 2.7× 61 1.1× 71 1.3× 36 494
D. A. Geer 4 171 0.7× 59 0.4× 193 1.4× 28 0.5× 28 0.5× 5 311

Countries citing papers authored by Kan Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Kan Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Zhong. A scholar is included among the top collaborators of Kan Zhong 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 Kan Zhong. Kan Zhong 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.
Zhong, Kan, Qiao Li, Ao Ren, et al.. (2025). PIM-IoT: Enabling hierarchical, heterogeneous, and agile Processing-in-Memory in IoT systems. Future Generation Computer Systems. 169. 107782–107782. 1 indexed citations
2.
Gao, Congming, et al.. (2025). Overlapping Aware Data Placement Optimizations for LSM Tree-Based Store on ZNS SSDs. ACM Transactions on Architecture and Code Optimization. 22(2). 1–25.
3.
Tan, Yujuan, Yan Gan, Zhaoyang Zeng, et al.. (2025). GNNBoost: Accelerating sampling-based GNN training on large scale graph by optimizing data preparation. Journal of Systems Architecture. 167. 103456–103456.
4.
Zhang, Binyan, Ao Ren, Moming Duan, et al.. (2025). MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search. 1–5.
5.
Gao, Congming, et al.. (2024). Optimizing Garbage Collection for ZNS SSDs via In-storage Data Migration and Address Remapping. ACM Transactions on Architecture and Code Optimization. 21(4). 1–25. 1 indexed citations
6.
Liu, Ning, Yujuan Tan, Xianzhang Chen, et al.. (2024). FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4033–4044.
7.
Shen, Zhaoyan, et al.. (2024). LightFS: A Lightweight Host-CSD Coordinated File System Optimizing for Heavy Small File Accesses. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 3527–3538.
8.
Wang, Yachao, et al.. (2024). Electric Vehicle Charging Load Prediction Model Based on Improved LSTM Neural Network. 1505–1509. 1 indexed citations
9.
Gao, Congming, et al.. (2023). WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs. ACM Transactions on Architecture and Code Optimization. 21(1). 1–23. 9 indexed citations
10.
Zhong, Kan, et al.. (2023). Revisiting Swapping in User-Space With Lightweight Threading. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(11). 4205–4218. 2 indexed citations
11.
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.
12.
Liu, Duo, Po‐Chun Huang, Yi Gu, et al.. (2018). Downsizing Without Downgrading: Approximated Dynamic Time Warping on Nonvolatile Memories. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(1). 131–144. 4 indexed citations
13.
Chen, Huixiang, Yuting Dai, Rui Xue, Kan Zhong, & Tao Li. (2018). Towards Efficient Microarchitecture Design of Simultaneous Localization and Mapping in Augmented Reality Era. 397–404. 4 indexed citations
14.
Xiao, Zhu, Duo Liu, Liang Liang, et al.. (2016). Revisiting swapping in mobile systems with SwapBench. Future Generation Computer Systems. 74. 265–275. 3 indexed citations
15.
Liu, Duo, Kan Zhong, Tianzheng Wang, et al.. (2016). Durable Address Translation in PCM-based Flash Storage Systems. IEEE Transactions on Parallel and Distributed Systems. 1–1. 35 indexed citations
16.
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
17.
Zhong, Kan, et al.. (2015). Energy-Efficient In-Memory Paging for Smartphones. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35(10). 1577–1590. 19 indexed citations
18.
Liu, Duo, et al.. (2015). Balloonfish: Utilizing morphable resistive memory in mobile virtualization. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 322–327. 9 indexed citations
19.
Liu, Duo, et al.. (2015). SwapBench: The Easy Way to Demystify Swapping in Mobile Systems. 497–502. 5 indexed citations
20.
Liu, Duo, Kan Zhong, Dan Zhang, et al.. (2014). Enhancing lifetime of NVM-based main memory with bit shifting and flipping. 42. 1–7. 15 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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