Zhongzhi Luan

1.7k total citations
133 papers, 971 citations indexed

About

Zhongzhi Luan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Zhongzhi Luan has authored 133 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 52 papers in Hardware and Architecture and 47 papers in Information Systems. Recurrent topics in Zhongzhi Luan's work include Parallel Computing and Optimization Techniques (51 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (25 papers). Zhongzhi Luan is often cited by papers focused on Parallel Computing and Optimization Techniques (51 papers), Cloud Computing and Resource Management (40 papers) and Advanced Data Storage Technologies (25 papers). Zhongzhi Luan collaborates with scholars based in China, United States and Canada. Zhongzhi Luan's co-authors include Depei Qian, Hailong Yang, Shaohan Huang, Carol Fung, Yi Liu, Rong He, Yining Zhao, Wenjun Li, Ning Zhang and Lan Gao and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Zhongzhi Luan

119 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhongzhi Luan China	16	650	362	361	201	99	133	971
Zhihao Jia United States	15	195 0.3×	408 1.1×	125 0.3×	178 0.9×	299 3.0×	34	738
Sergei Gorlatch Germany	18	926 1.4×	271 0.7×	310 0.9×	746 3.7×	82 0.8×	141	1.3k
Seunghak Lee United States	12	432 0.7×	602 1.7×	255 0.7×	120 0.6×	333 3.4×	24	1.1k
Matteo Interlandi United States	17	511 0.8×	270 0.7×	371 1.0×	117 0.6×	106 1.1×	54	790
John Feo United States	15	479 0.7×	210 0.6×	104 0.3×	404 2.0×	170 1.7×	58	758
Da Zheng United States	14	201 0.3×	621 1.7×	171 0.5×	128 0.6×	416 4.2×	42	929
Frédéric Vivien France	17	810 1.2×	174 0.5×	458 1.3×	511 2.5×	38 0.4×	71	1.1k
Christophe Dubach United Kingdom	17	897 1.4×	242 0.7×	302 0.8×	1.2k 6.0×	151 1.5×	70	1.4k
Flemming Friche Rodler Denmark	7	599 0.9×	382 1.1×	153 0.4×	240 1.2×	153 1.5×	7	888

Countries citing papers authored by Zhongzhi Luan

Since Specialization

Citations

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

Fields of papers citing papers by Zhongzhi Luan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongzhi Luan

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

Li, Yizhen, Zhongzhi Luan, Yunan Zhang, et al.. (2025). Efficient evidence selection for systematic reviews in traditional Chinese medicine. BMC Medical Research Methodology. 25(1). 10–10. 2 indexed citations

Yang, Hailong, et al.. (2025). Exploiting Dynamic Regular Patterns in Irregular Programs for Efficient Vectorization. ACM Transactions on Architecture and Code Optimization. 22(2). 1–25.

Yang, Hailong, et al.. (2025). Zero-Value Code Specialization via Profile-Guided Control Data Flow Analysis. 316–330.

Yang, Hailong, et al.. (2025). Towards Efficient LLM Inference via Collective and Adaptive Speculative Decoding. 973–990.

Huang, Shaohan, Xintong Zhang, Xin Zhao, et al.. (2025). On Domain-Adaptive Post-Training for Multimodal Large Language Models. 274–296.

Liu, Yi, et al.. (2024). Sifter: An Efficient Operator Auto-Tuner With Speculative Design Space Exploration for Deep Learning Compiler. IEEE Transactions on Computers. 74(10). 3251–3262. 1 indexed citations

Xiao, Wencong, et al.. (2024). ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG. IEEE Transactions on Parallel and Distributed Systems. 35(10). 1708–1720. 2 indexed citations

Huang, Shaohan, Yi Liu, Jing Shang, et al.. (2024). Gloss: Guiding Large Language Models to Answer Questions from System Logs. 91–101. 2 indexed citations

Yang, Hailong, et al.. (2024). AtRec: Accelerating Recommendation Model Training on CPUs. IEEE Transactions on Parallel and Distributed Systems. 35(6). 905–918. 1 indexed citations

10.

Jiang, Ting, Shaohan Huang, Zhongzhi Luan, Deqing Wang, & Fuzhen Zhuang. (2024). Scaling Sentence Embeddings with Large Language Models. 3182–3196. 8 indexed citations

11.

Luan, Zhongzhi, et al.. (2024). Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. Frontiers in Artificial Intelligence. 7. 1454945–1454945. 2 indexed citations

12.

Yang, Hailong, et al.. (2023). Adapting combined tiling to stencil optimizations on sunway processor. 5(3). 322–333. 1 indexed citations

13.

Yang, Hailong, Fengwei Yu, Ruihao Gong, et al.. (2023). Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs. 786–796. 2 indexed citations

14.

Liu, Yi, et al.. (2023). Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs. IEEE Transactions on Parallel and Distributed Systems. 35(1). 20–33. 2 indexed citations

15.

Yang, Hailong, Jun Xu, Lin Gan, et al.. (2023). Towards optimized tensor code generation for deep learning on sunway many-core processor. Frontiers of Computer Science. 18(2). 1 indexed citations

16.

Yang, Jiarui, Xinglin Wang, Zihan Li, et al.. (2022). CVIS: Automated OCT‐scan‐based software application for the measurements of choroidal vascularity index and choroidal thickness. Acta Ophthalmologica. 100(8). e1553–e1560. 9 indexed citations

17.

Wang, Rui, et al.. (2019). LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection. Asian Conference on Machine Learning. 912–923. 1 indexed citations

18.

Luan, Zhongzhi, et al.. (2011). NEPnet: a scalable monitoring system for anomaly detection of network service. 338–342. 3 indexed citations

19.

Luan, Zhongzhi, et al.. (2011). Operator placement with QoS constraints for distributed stream processing. 309–315. 7 indexed citations

20.

Luan, Zhongzhi. (2004). Improvement of Hierarchical Routing Protocol in the Network Simulator. Acta Simulata Systematica Sinica.

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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