Junzhi Li

958 total citations
23 papers, 577 citations indexed

About

Junzhi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Junzhi Li has authored 23 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Junzhi Li's work include Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (6 papers) and Artificial Immune Systems Applications (5 papers). Junzhi Li is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (6 papers) and Artificial Immune Systems Applications (5 papers). Junzhi Li collaborates with scholars based in China, Austria and Romania. Junzhi Li's co-authors include Ying Tan, Shaoqiu Zheng, Andreas Janecek, Chao Yu, Zhongyang Zheng, Jie Li, Jie Guan, Shaowu Zhang, Xuemei Ye and Guoping Xia and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.

In The Last Decade

Junzhi Li

21 papers receiving 566 citations

Peers

Junzhi Li
Guo Zhou China
Honghua Rao China
Changsheng Wen China
Ahmed F. Ali Egypt
Xinming Zhang China
Jaffar Atwan Jordan
Ying Ling China
Shaoqiu Zheng China
Yinan Guo China
Guo Zhou China
Junzhi Li
Citations per year, relative to Junzhi Li Junzhi Li (= 1×) peers Guo Zhou

Countries citing papers authored by Junzhi Li

Since Specialization
Citations

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

Fields of papers citing papers by Junzhi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junzhi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junzhi Li. A scholar is included among the top collaborators of Junzhi Li 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 Junzhi Li. Junzhi Li 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.
2.
Guo, Wenyong, Gang Xu, Tongzhen Wei, et al.. (2024). A novel robust active damping control strategy based on H∞ loop shaping for the grid-tied LCL inverter. Frontiers in Energy Research. 12. 1 indexed citations
3.
Li, Junzhi & Ying Tan. (2019). A Comprehensive Review of the Fireworks Algorithm. ACM Computing Surveys. 52(6). 1–28. 45 indexed citations
4.
5.
Li, Junzhi, et al.. (2018). Extended framework for constructing (complete) permutations by specifying their coordinate functions. Discrete Applied Mathematics. 250. 322–330. 1 indexed citations
6.
Ye, Xuemei, Junzhi Li, Bo Xu, & Ying Tan. (2018). Which Mapping Rule in the Fireworks Algorithm is Better for Large Scale Optimization. 1–8. 2 indexed citations
7.
Li, Junzhi & Ying Tan. (2017). Loser-Out Tournament-Based Fireworks Algorithm for Multimodal Function Optimization. IEEE Transactions on Evolutionary Computation. 22(5). 679–691. 62 indexed citations
8.
Li, Junzhi, Shaoqiu Zheng, & Ying Tan. (2016). The Effect of Information Utilization: Introducing a Novel Guiding Spark in the Fireworks Algorithm. IEEE Transactions on Evolutionary Computation. 21(1). 153–166. 72 indexed citations
9.
10.
Zhang, Pei, et al.. (2016). Research on State Collisions of Authenticated Cipher ACORN. 1 indexed citations
11.
Jin, Chenhui, Jie Guan, Shaowu Zhang, et al.. (2016). New state recovery attacks on the Grain v1 stream cipher. China Communications. 13(11). 180–188. 4 indexed citations
12.
Guan, Jie, et al.. (2016). Improved Collision Cryptanalysis of Authenticated Cipher MORUS. 2 indexed citations
13.
Zheng, Shaoqiu, Chao Yu, Junzhi Li, & Ying Tan. (2015). Exponentially decreased dimension number strategy based dynamic search fireworks algorithm for solving CEC2015 competition problems. 201212. 1083–1090. 12 indexed citations
14.
Zheng, Shaoqiu, Junzhi Li, Andreas Janecek, & Ying Tan. (2015). A Cooperative Framework for Fireworks Algorithm. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(1). 27–41. 68 indexed citations
15.
Zheng, Shaoqiu, Andreas Janecek, Junzhi Li, & Ying Tan. (2014). Dynamic search in fireworks algorithm. 102 indexed citations
16.
Yu, Chao, Junzhi Li, & Ying Tan. (2014). Improve enhanced fireworks algorithm with differential mutation. 264–269. 21 indexed citations
17.
Zheng, Zhongyang, Junzhi Li, Jie Li, & Ying Tan. (2014). Avoiding decoys in multiple targets searching problems using swarm robotics. 784–791. 7 indexed citations
18.
Li, Junzhi, Shaoqiu Zheng, & Ying Tan. (2014). Adaptive Fireworks Algorithm. 77 indexed citations
19.
Li, Junzhi. (2006). Key technology of data warehouse design in water and electricity engineering industry. Computer Integrated Manufacturing Systems.
20.
Li, Junzhi, et al.. (2006). Association Rules Mining from Time Series Based on Rough Set. 509–516. 2 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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