Guangzhong Sun

6.3k total citations · 3 hit papers
110 papers, 3.4k citations indexed

About

Guangzhong Sun is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Guangzhong Sun has authored 110 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 35 papers in Computer Networks and Communications and 28 papers in Information Systems. Recurrent topics in Guangzhong Sun's work include Parallel Computing and Optimization Techniques (19 papers), Data Management and Algorithms (16 papers) and Distributed and Parallel Computing Systems (15 papers). Guangzhong Sun is often cited by papers focused on Parallel Computing and Optimization Techniques (19 papers), Data Management and Algorithms (16 papers) and Distributed and Parallel Computing Systems (15 papers). Guangzhong Sun collaborates with scholars based in China, United States and United Kingdom. Guangzhong Sun's co-authors include Xing Xie, Yu Zheng, Jing Yuan, Chengyang Zhang, Jing Yuan, Wenlei Xie, Yan Huang, Rui Yong, Enhong Chen and Defu Lian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Pattern Recognition.

In The Last Decade

Guangzhong Sun

95 papers receiving 3.3k citations

Hit Papers

align trajectories sort by overperformance

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.

T-drive

2010 756 citations Xing Xie, Guangzhong Sun et al. profile →
Driving with knowledge from the physical world

2011 574 citations Xing Xie, Guangzhong Sun et al. profile →
GeoMF

2014 443 citations Defu Lian, Xing Xie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangzhong Sun China	20	1.7k	1.0k	883	835	827	110	3.4k
Mirco Nanni Italy	19	1.4k 0.8×	1.4k 1.3×	711 0.8×	372 0.4×	434 0.5×	70	2.7k
Chi-Yin Chow Hong Kong	34	1.4k 0.8×	760 0.7×	2.2k 2.5×	296 0.4×	1.1k 1.4×	116	4.4k
Baihua Zheng Singapore	34	722 0.4×	2.1k 2.0×	841 1.0×	638 0.8×	397 0.5×	159	3.6k
Ouri Wolfson United States	35	1.9k 1.1×	2.0k 1.9×	839 1.0×	1.3k 1.6×	542 0.7×	185	6.3k
Zhifeng Bao Australia	26	544 0.3×	1.0k 1.0×	839 1.0×	502 0.6×	412 0.5×	153	2.3k
Kai Zheng China	24	700 0.4×	1.3k 1.3×	430 0.5×	282 0.3×	336 0.4×	68	2.0k
Jiajie Xu China	25	688 0.4×	628 0.6×	1.2k 1.3×	405 0.5×	1.3k 1.6×	120	2.7k
Wen-Chih Peng Taiwan	24	633 0.4×	790 0.8×	668 0.8×	232 0.3×	436 0.5×	92	2.1k
Michael Zhang United States	26	1.3k 0.7×	174 0.2×	383 0.4×	852 1.0×	473 0.6×	97	3.2k
Michael Behrisch Germany	17	1.3k 0.8×	260 0.3×	692 0.8×	1.3k 1.5×	224 0.3×	80	5.4k

Countries citing papers authored by Guangzhong Sun

Since Specialization

Citations

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

Fields of papers citing papers by Guangzhong Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangzhong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Guangzhong Sun. A scholar is included among the top collaborators of Guangzhong Sun 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 Guangzhong Sun. Guangzhong Sun 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

Xie, Yueqi, et al.. (2025). Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. 1809–1820. 4 indexed citations

Lin, J., et al.. (2024). LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs. ACM Transactions on Architecture and Code Optimization. 21(4). 1–25. 2 indexed citations

Yi, Jingwei, Rui Ye, Bin Zhu, et al.. (2024). On the Vulnerability of Safety Alignment in Open-Access LLMs. 9236–9260. 2 indexed citations

Sun, Jingwei, et al.. (2024). PckGNN: Optimizing Aggregation Operators with Packing Strategies in Graph Neural Networks. 2–13.

Zhang, Honghe, et al.. (2024). Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning. 1–12. 1 indexed citations

Sun, Guangzhong, et al.. (2024). AG-SpTRSV: An Automatic Framework to Optimize Sparse Triangular Solve on GPUs. ACM Transactions on Architecture and Code Optimization. 21(4). 1–25.

Tang, Ke, et al.. (2023). Theoretical guarantee for crowdsourcing learning with unsure option. Pattern Recognition. 137. 109316–109316. 2 indexed citations

Lin, J., et al.. (2023). EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs. 21–30. 3 indexed citations

Peng, Wenjun, Jingwei Yi, Fangzhao Wu, et al.. (2023). Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. 7653–7668. 21 indexed citations

10.

He, Yu, et al.. (2023). Pool-based active learning framework for concept prerequisite learning. Journal of Intelligent & Fuzzy Systems. 46(1). 1771–1787.

11.

Yi, Jingwei, Fangzhao Wu, Chuhan Wu, et al.. (2022). Effective and Efficient Query-aware Snippet Extraction for Web Search. 3035–3046. 1 indexed citations

12.

Wu, Fangzhao, et al.. (2021). Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2814–2824. 34 indexed citations

13.

Sun, Guangzhong, et al.. (2021). A cognitive diagnostic framework for computer science education based on probability graph model. JUSTC. 51(1). 12. 1 indexed citations

14.

Liu, Yunjie, et al.. (2021). An Efficient Channel-level Pruning for CNNs without Fine-tuning. 1–8. 3 indexed citations

15.

Liang, Gaoqi, Guolong Liu, Junhua Zhao, et al.. (2020). Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation. Engineering. 6(7). 789–800. 27 indexed citations

16.

Liu, Danyang, Jianxun Lian, Xin Zhao, et al.. (2019). News Graph: An Enhanced Knowledge Graph for News Recommendation.. 1–7. 10 indexed citations

17.

Liang, Chieh-Jan Mike, et al.. (2019). Accelerating Rule-matching Systems with Learned Rankers.. USENIX Annual Technical Conference. 1041–1048. 2 indexed citations

18.

Sun, Guangzhong, et al.. (2018). The dynamic evolution model and experimental study of gas permeability under multiple factors. International Journal of Heat and Technology. 36(1). 49–55. 3 indexed citations

19.

Chen, Tianshi, Jun He, Guangzhong Sun, Guoliang Chen, & Xin Yao. (2009). A New Approach for Analyzing Average Time Complexity of Population-Based Evolutionary Algorithms on Unimodal Problems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(5). 1092–1106. 41 indexed citations

20.

Li, Shisheng, Ying‐Hua Zhou, Guangzhong Sun, & Guoliang Chen. (2007). Study on Parallel Machine Scheduling Problem with Buffer. 278–281. 11 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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