Wang Li

603 total citations
35 papers, 483 citations indexed

About

Wang Li is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Wang Li has authored 35 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 11 papers in Statistical and Nonlinear Physics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Wang Li's work include Neural Networks Stability and Synchronization (16 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Distributed Control Multi-Agent Systems (9 papers). Wang Li is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Distributed Control Multi-Agent Systems (9 papers). Wang Li collaborates with scholars based in China, Romania and United Kingdom. Wang Li's co-authors include Yongzheng Sun, Donghua Zhao, Jiong Ruan, Vicenţiu D. Rădulescu, Binlin Zhang, Sandro Azaele, P. T. Ge, Junnian Zheng, Hui Tian and Ziran Liu and has published in prestigious journals such as Scientific Reports, BioMed Research International and Chaos Solitons & Fractals.

In The Last Decade

Wang Li

33 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wang Li China 12 319 152 61 40 40 35 483
Jianguo Tan China 12 89 0.3× 188 1.2× 62 1.0× 16 0.4× 13 0.3× 37 396
Yihong Wang China 6 22 0.1× 75 0.5× 8 0.1× 34 0.8× 30 0.8× 17 462
N. BELLOMO Italy 8 40 0.1× 129 0.8× 131 2.1× 59 1.5× 33 0.8× 8 479
Sayan Mukherjee India 13 62 0.2× 176 1.2× 115 1.9× 17 0.4× 1 0.0× 43 422
Defei Zhang China 11 23 0.1× 21 0.1× 20 0.3× 44 1.1× 34 0.8× 30 274
Minaya Villasana Venezuela 8 14 0.0× 31 0.2× 123 2.0× 14 0.3× 14 0.3× 13 337
Quanxiang Wang China 11 13 0.0× 52 0.3× 61 1.0× 14 0.3× 5 0.1× 35 325
Kewang Chen China 10 8 0.0× 130 0.9× 36 0.6× 102 2.5× 34 0.8× 20 397
B. Zubik–Kowal United States 13 18 0.1× 40 0.3× 43 0.7× 35 0.9× 57 1.4× 36 436
David Poyato Spain 6 101 0.3× 87 0.6× 24 0.4× 25 0.6× 34 0.8× 11 245

Countries citing papers authored by Wang Li

Since Specialization
Citations

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

Fields of papers citing papers by Wang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Li. A scholar is included among the top collaborators of Wang 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 Wang Li. Wang 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.
Li, Wang, et al.. (2025). Time and energy costs for cluster synchronization in Kuramoto-oscillator networks under pinning strategies. Chaos Solitons & Fractals. 204. 117752–117752.
2.
Li, Wang, et al.. (2023). Adaptive Pinning Synchronization of Complex Networks with Partial Delay and Noise Coupling. International Journal of Control Automation and Systems. 21(1). 129–139. 2 indexed citations
3.
Zhang, Chi, Kun Wang, Yang Zhang, et al.. (2023). A machine learning-based model for predicting the risk of early-stage inguinal lymph node metastases in patients with squamous cell carcinoma of the penis. Frontiers in Surgery. 10. 1095545–1095545. 1 indexed citations
4.
Zheng, Yuxin, Wang Li, Yang Zhang, et al.. (2022). Prebiopsy bpMRI and hematological parameter-based risk scoring model for predicting outcomes in biopsy-naive men with PSA 4–20 ng/mL. Scientific Reports. 12(1). 21895–21895. 5 indexed citations
5.
Wang, Kun, et al.. (2022). A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer. Frontiers in Public Health. 10. 916513–916513. 3 indexed citations
6.
Li, Wang, et al.. (2022). Noise-induced consensus of leader-following multi-agent systems. Mathematics and Computers in Simulation. 203. 1–11. 2 indexed citations
7.
Li, Wang, et al.. (2020). Preoperative Neutrophil‐to‐Lymphocyte Ratio Was a Predictor of Overall Survival in Small Renal Cell Carcinoma: An Analysis of 384 Consecutive Patients. BioMed Research International. 2020(1). 8051210–8051210. 10 indexed citations
8.
Chen, Duxin, Wang Li, Xiaolu Liu, Wenwu Yu, & Yongzheng Sun. (2019). Effects of Measurement Noise on Flocking Dynamics of Cucker–Smale Systems. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 2064–2068. 23 indexed citations
9.
Sun, Yongzheng, et al.. (2019). Multiplicative measurement noise can facilitate consensus of multiagent networks. Physical review. E. 100(2). 22319–22319. 8 indexed citations
10.
Sun, Yongzheng, et al.. (2019). Finite-Time and Fixed-Time Consensus of Multiagent Networks with Pinning Control and Noise Perturbation. SIAM Journal on Applied Mathematics. 79(1). 111–130. 36 indexed citations
11.
Ge, P. T., Li Wang, Meng Lu, et al.. (2018). Oncological Outcome of Primary and Secondary Muscle-Invasive Bladder Cancer: A Systematic Review and Meta-analysis. Scientific Reports. 8(1). 7543–7543. 34 indexed citations
12.
Sun, Yongzheng, Wang Li, & Jiong Ruan. (2013). Average consensus of multi-agent systems with communication time delays and noisy links. Chinese Physics B. 22(3). 30510–30510. 8 indexed citations
13.
Sun, Yongzheng, Wang Li, & Jiong Ruan. (2012). Generalized outer synchronization between complex dynamical networks with time delay and noise perturbation. Communications in Nonlinear Science and Numerical Simulation. 18(4). 989–998. 82 indexed citations
14.
Sun, Yongzheng, Wang Li, & Donghua Zhao. (2012). Convergence time and speed of multi-agent systems in noisy environments. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(4). 43126–43126. 19 indexed citations
15.
Pei, Dong‐Sheng, et al.. (2011). Analysis of human Ki-67 gene promoter and identification of the Sp1 binding sites for Ki-67 transcription. Tumor Biology. 33(1). 257–266. 14 indexed citations
16.
Tian, Hui, Wang Li, Feifei Chen, et al.. (2010). A critical role of Sp1 transcription factor in regulating the human Ki-67 gene expression. Tumor Biology. 32(2). 273–283. 24 indexed citations
17.
Li, Wang, et al.. (2008). Fuzzy Control of SIR Epidemic Model. Journal of Biomathematics. 1 indexed citations
18.
Li, Wang. (2005). The Voronovskaja type expansion fomula of the modified Baskakov-Beta operators. 6 indexed citations
19.
Li, Wang. (2004). Research and Implementation of an Anomaly Intrusion Detection System Model Based on Similarity Cluster Analysis. Mini-micro Systems. 1 indexed citations
20.
Li, Wang, et al.. (1998). Global Stability of Neural Networks with Infinite Delay. Control theory & applications. 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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