Dezun Dong

1.5k total citations · 1 hit paper
121 papers, 891 citations indexed

About

Dezun Dong is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Dezun Dong has authored 121 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Computer Networks and Communications, 43 papers in Hardware and Architecture and 41 papers in Electrical and Electronic Engineering. Recurrent topics in Dezun Dong's work include Interconnection Networks and Systems (50 papers), Parallel Computing and Optimization Techniques (41 papers) and Cloud Computing and Resource Management (31 papers). Dezun Dong is often cited by papers focused on Interconnection Networks and Systems (50 papers), Parallel Computing and Optimization Techniques (41 papers) and Cloud Computing and Resource Management (31 papers). Dezun Dong collaborates with scholars based in China, Hong Kong and United Kingdom. Dezun Dong's co-authors include Xiangke Liao, Yunhao Liu, Mo Li, Yunhao Liu, Xiang‐Yang Li, Liquan Xiao, Jianbin Fang, Wei Bai, Shanshan Li and Yutong Lu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, AIAA Journal and IEEE Transactions on Computers.

In The Last Decade

Dezun Dong

105 papers receiving 866 citations

Hit Papers

Large Language Models are Few-Shot Summarizers: Multi-Int... 2024 2026 2025 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
    2024 78 citations Mingyang Geng, Shangwen Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dezun Dong China 15 665 296 189 168 161 121 891
Peter Desnoyers United States 22 1.4k 2.1× 223 0.8× 337 1.8× 409 2.4× 231 1.4× 54 1.5k
Renhai Chen China 14 440 0.7× 149 0.5× 291 1.5× 80 0.5× 67 0.4× 55 642
José Augusto M. Nacif Brazil 15 207 0.3× 322 1.1× 138 0.7× 57 0.3× 96 0.6× 131 706
S. K. Nandy India 13 440 0.7× 210 0.7× 357 1.9× 126 0.8× 109 0.7× 138 767
Barry E. Mullins United States 15 429 0.6× 172 0.6× 51 0.3× 129 0.8× 188 1.2× 62 649
Michael D. Smith United States 16 724 1.1× 183 0.6× 927 4.9× 139 0.8× 129 0.8× 30 1.1k
Paul Yu United States 13 310 0.5× 505 1.7× 32 0.2× 70 0.4× 235 1.5× 48 722
Sangjin Han United States 15 1.7k 2.6× 355 1.2× 655 3.5× 642 3.8× 235 1.5× 33 2.0k
Jamey Hicks United States 10 285 0.4× 310 1.0× 128 0.7× 81 0.5× 43 0.3× 11 543
Yuan Lin United States 19 844 1.3× 525 1.8× 782 4.1× 280 1.7× 173 1.1× 68 1.4k

Countries citing papers authored by Dezun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Dezun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dezun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Dezun Dong. A scholar is included among the top collaborators of Dezun Dong 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 Dezun Dong. Dezun Dong 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.
Fang, Qiang, et al.. (2025). Multiscale Gaussian Attention Mechanism for Tiny-Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 1 indexed citations
2.
Fan, Y. X., Yunqing Huang, Dezun Dong, et al.. (2025). CRAMG: A Communication-Reduced Algebraic Multigrid Method. 397–411.
3.
4.
Wu, Lizhou, Yang Ou, Siwen Gao, et al.. (2025). CXL-DMSim: A Full-System CXL Disaggregated Memory Simulator With Comprehensive Silicon Validation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 45(4). 1787–1801.
5.
Fan, Y. X., Shengguo Li, Yunqing Huang, et al.. (2025). DAS-ILU: A Distributed Asynchronous Parallel ILU Factorization Based on Domain Decomposition. 1845–1858.
6.
Zhang, Xiaoyun, et al.. (2024). DRLAR: A deep reinforcement learning-based adaptive routing framework for network-on-chips. Computer Networks. 246. 110419–110419. 7 indexed citations
7.
Dong, Dezun, et al.. (2024). A lightweight RDMA connection protocol based on post-hoc confirmation. Journal of Parallel and Distributed Computing. 195. 104991–104991. 1 indexed citations
8.
Fan, Y. X., et al.. (2024). Optimizing Multi-Grid Preconditioned Conjugate Gradient Method on Multi-Cores. IEEE Transactions on Parallel and Distributed Systems. 35(5). 768–779. 4 indexed citations
9.
Geng, Mingyang, Shangwen Wang, Dezun Dong, et al.. (2024). Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. 1–13. 78 indexed citations breakdown →
10.
Dong, Dezun, et al.. (2024). Optimizing Attention by Exploiting Data Reuse on ARM Multi-core CPUs. 137–149. 2 indexed citations
11.
Fang, Jianbin, et al.. (2024). GraphCube: Interconnection Hierarchy-aware Graph Processing. 160–174. 5 indexed citations
12.
Liao, Xiangke, et al.. (2023). Exploring job running path to predict runtime on multiple production supercomputers. Journal of Parallel and Distributed Computing. 175. 109–120. 7 indexed citations
13.
Dong, Dezun, et al.. (2023). A survey of machine learning for Network-on-Chips. Journal of Parallel and Distributed Computing. 186. 104778–104778. 5 indexed citations
14.
Dong, Dezun, et al.. (2023). DFR: Dynamic-thresold Fault-tolerant Routing for Fat Tree. 180–181. 1 indexed citations
15.
Dong, Dezun, et al.. (2023). GRAP: Group-level Resource Allocation Policy for Reconfigurable Dragonfly Network in HPC. 437–449. 5 indexed citations
16.
Li, Shengguo, et al.. (2023). Optimizing Multi-grid Computation and Parallelization on Multi-cores. 227–239. 6 indexed citations
17.
Dong, Dezun, et al.. (2023). Roar: A Router Microarchitecture for In-network Allreduce. 423–436. 5 indexed citations
18.
19.
Li, Shengguo, Hao Jiang, Dezun Dong, et al.. (2022). Efficient Data Redistribution Algorithms From Irregular to Block Cyclic Data Distribution. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3667–3677.
20.
Dong, Dezun, et al.. (2021). Exploring the Galaxyfly Family to Build Flexible-Scale Interconnection Networks. IEEE Transactions on Parallel and Distributed Systems. 33(5). 1054–1068. 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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