Zhan Shi

997 total citations
65 papers, 457 citations indexed

About

Zhan Shi is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Zhan Shi has authored 65 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 27 papers in Information Systems and 24 papers in Artificial Intelligence. Recurrent topics in Zhan Shi's work include Advanced Data Storage Technologies (27 papers), Caching and Content Delivery (24 papers) and Cloud Computing and Resource Management (17 papers). Zhan Shi is often cited by papers focused on Advanced Data Storage Technologies (27 papers), Caching and Content Delivery (24 papers) and Cloud Computing and Resource Management (17 papers). Zhan Shi collaborates with scholars based in China, United States and Canada. Zhan Shi's co-authors include Dan Feng, Akanksha Jain, Calvin Lin, Xiangru Huang, Hong Jiang, Lingfang Zeng, Shengjie Xu, Ning Li, Parthasarathy Ranganathan and Kevin Swersky and has published in prestigious journals such as Bioinformatics, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Zhan Shi

54 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhan Shi China 11 241 190 151 103 74 65 457
Fangzhe Chang United States 12 315 1.3× 71 0.4× 142 0.9× 94 0.9× 50 0.7× 19 413
Wentao Han China 8 160 0.7× 223 1.2× 175 1.2× 96 0.9× 340 4.6× 23 472
Roger Pearce United States 13 245 1.0× 169 0.9× 146 1.0× 136 1.3× 260 3.5× 52 548
Jinqiao Shi China 12 256 1.1× 384 2.0× 209 1.4× 28 0.3× 58 0.8× 76 556
Arun Kejariwal United States 12 285 1.2× 109 0.6× 85 0.6× 241 2.3× 45 0.6× 52 462
Ravi Konuru United States 12 401 1.7× 234 1.2× 209 1.4× 310 3.0× 58 0.8× 27 693
Hiroki Takakura Japan 12 453 1.9× 337 1.8× 98 0.6× 28 0.3× 64 0.9× 60 593
Lorie M. Liebrock United States 10 128 0.5× 107 0.6× 123 0.8× 23 0.2× 50 0.7× 42 309
Gabriela Jacques-Silva United States 12 306 1.3× 149 0.8× 142 0.9× 54 0.5× 93 1.3× 21 450
Wayne Kelly Australia 12 316 1.3× 163 0.9× 110 0.7× 343 3.3× 36 0.5× 52 578

Countries citing papers authored by Zhan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Shi. A scholar is included among the top collaborators of Zhan Shi 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 Zhan Shi. Zhan Shi 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.
Shi, Zhan, et al.. (2025). A Sparse Function Prediction Approach for Cold Start Optimization and User Satisfaction Guarantee in Serverless. IEEE Transactions on Parallel and Distributed Systems. 36(11). 2198–2213.
2.
Wang, Fang, et al.. (2024). CoFS: A Collaboration-Aware Fairness Scheme for NVMe SSD in Cloud Storage System. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(12). 4490–4504. 1 indexed citations
3.
Khan, Arijit, et al.. (2024). Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 37(1). 408–422. 1 indexed citations
4.
Wang, Fang, et al.. (2024). The Static Allocation is Not a Static: Optimizing SSD Address Allocation Through Boosting Static Policy. IEEE Transactions on Parallel and Distributed Systems. 35(8). 1373–1386.
5.
6.
Wang, Fang, et al.. (2023). An Efficient Deep Reinforcement Learning-Based Automatic Cache Replacement Policy in Cloud Block Storage Systems. IEEE Transactions on Computers. 73(1). 164–177. 5 indexed citations
7.
8.
Bhattarai, Shristi, Hongxiao Li, Zhan Shi, et al.. (2022). A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images. Bioinformatics. 38(19). 4605–4612. 20 indexed citations
9.
Shi, Zhan, et al.. (2021). UML diagram-driven test scenarios generation based on the temporal graph grammar. KSII Transactions on Internet and Information Systems. 15(7). 1 indexed citations
10.
Wang, Fang, et al.. (2021). An efficient memory data organization strategy for application-characteristic graph processing. Frontiers of Computer Science. 16(1). 6 indexed citations
11.
Shi, Zhan, et al.. (2020). Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks. Neural Information Processing Systems. 33. 8463–8474. 8 indexed citations
12.
Shi, Zhan, Xiangru Huang, Akanksha Jain, & Calvin Lin. (2019). Applying Deep Learning to the Cache Replacement Problem. 413–425. 82 indexed citations
13.
Feng, Dan, et al.. (2019). Understanding the latency distribution of cloud object storage systems. Journal of Parallel and Distributed Computing. 128. 71–83. 7 indexed citations
14.
Shi, Zhan, et al.. (2018). Inductive Two-layer Modeling with Parametric Bregman Transfer.. International Conference on Machine Learning. 1622–1631.
15.
Menon, Aditya Krishna, et al.. (2018). Monge blunts Bayes: Hardness Results for Adversarial Training.. ANU Open Research (Australian National University). 1406–1415. 1 indexed citations
16.
Yin, Yifeng, et al.. (2018). Text prediction method based on multi-label attributes and improved maximum entropy model. Journal of Intelligent & Fuzzy Systems. 34(2). 1097–1109. 1 indexed citations
17.
Shi, Zhan, et al.. (2018). A temporal graph grammar formalism. Journal of Visual Languages & Computing. 47. 62–76. 5 indexed citations
18.
Li, Ning, Hong Jiang, Dan Feng, & Zhan Shi. (2017). Customizable SLO and Its Near-Precise Enforcement for Storage Bandwidth. ACM Transactions on Storage. 13(1). 1–25. 3 indexed citations
19.
Shi, Zhan, Xinhua Zhang, & Yaoliang Yu. (2017). Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction. Neural Information Processing Systems. 30. 6031–6041. 4 indexed citations
20.
Li, Yong, Dan Feng, Zhan Shi, & Zhao Zhang. (2012). Disk array performance prediction with CART-MARS hybrid models. 1–4. 1 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

Breakdown of academic impact, for papers by Fangzhe Chang Breakdown of academic impact, for papers by Wentao Han Breakdown of academic impact, for papers by Roger Pearce Breakdown of academic impact, for papers by Jinqiao Shi Breakdown of academic impact, for papers by Arun Kejariwal Breakdown of academic impact, for papers by Ravi Konuru Breakdown of academic impact, for papers by Hiroki Takakura Breakdown of academic impact, for papers by Lorie M. Liebrock Breakdown of academic impact, for papers by Gabriela Jacques-Silva Breakdown of academic impact, for papers by Wayne Kelly
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