Cong Wu

1.1k total citations
63 papers, 762 citations indexed

About

Cong Wu is a scholar working on Control and Systems Engineering, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Cong Wu has authored 63 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 17 papers in Modeling and Simulation and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Cong Wu's work include Fractional Differential Equations Solutions (17 papers), Advanced Control Systems Design (16 papers) and Chaos control and synchronization (10 papers). Cong Wu is often cited by papers focused on Fractional Differential Equations Solutions (17 papers), Advanced Control Systems Design (16 papers) and Chaos control and synchronization (10 papers). Cong Wu collaborates with scholars based in China, United States and Canada. Cong Wu's co-authors include Xinzhi Liu, Diyi Chen, Xiaoyi Ma, Paul T. Massa, Herbert Ho‐Ching Iu, Jianfeng Zhang, Dandan Yang, Yu‐Zhong Wang, Gang Wu and Si‐Chong Chen and has published in prestigious journals such as The Journal of Immunology, Macromolecules and IEEE Access.

In The Last Decade

Cong Wu

56 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Wu China 15 184 179 144 132 115 63 762
Jiankang Liu China 13 53 0.3× 77 0.4× 111 0.8× 19 0.1× 89 0.8× 54 620
Limin Wang China 23 109 0.6× 996 5.6× 60 0.4× 57 0.4× 104 0.9× 112 1.5k
Yuzhen Wang China 15 29 0.2× 104 0.6× 12 0.1× 69 0.5× 633 5.5× 31 869
Yingxin Guo China 17 205 1.1× 219 1.2× 88 0.6× 383 2.9× 23 0.2× 51 786
Huiyang Liu China 25 36 0.2× 554 3.1× 14 0.1× 1.2k 9.4× 362 3.1× 58 2.0k
Weijun Ma China 13 14 0.1× 29 0.2× 28 0.2× 35 0.3× 158 1.4× 47 475
Xinge Liu China 20 180 1.0× 336 1.9× 73 0.5× 502 3.8× 190 1.7× 78 1.0k
Lingling Liu China 12 64 0.3× 11 0.1× 46 0.3× 40 0.3× 110 1.0× 70 535
Junning Zhao China 19 14 0.1× 236 1.3× 47 0.3× 6 0.0× 269 2.3× 100 1.6k
Guowei Wang China 19 413 2.2× 6 0.0× 12 0.1× 242 1.8× 251 2.2× 70 966

Countries citing papers authored by Cong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Wu. A scholar is included among the top collaborators of Cong Wu 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 Cong Wu. Cong Wu 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.
Chen, Fang, Yang Zhou, Qing Zhu, et al.. (2025). The vegetation response to MIS5 and MIS1 as revealed by pollen data from the Pearl River estuary, China. Palaeogeography Palaeoclimatology Palaeoecology. 662. 112774–112774.
2.
Wang, Jianyi, et al.. (2025). Sand frying-induced assembly of coix seeds starch with oils into stable structures: A comprehensive investigation based on starch-lipid interaction. International Journal of Biological Macromolecules. 308(Pt 1). 142453–142453.
3.
Fan, Xuemeng, et al.. (2024). Exponential $H_{\infty }$ Output Control for Switching Fuzzy Vehicle Lateral Dynamics via Event-Triggered Mechanism. IEEE Transactions on Intelligent Vehicles. 10(9). 4371–4384.
4.
Wu, Cong. (2024). Positivity and Stability of Caputo Fractional Order Gene Regulatory Networks: The System Comparison Method. International Journal of Intelligent Systems. 2024(1). 1 indexed citations
5.
Wu, Cong, et al.. (2024). Enhanced strength-ductility-impact toughness synergy of CT20 titanium alloy by introducing a multi-level lamellar martensitic α structure. Materials Characterization. 214. 114108–114108. 8 indexed citations
6.
Zhong, Hui, Qi Jiang, Cong Wu, et al.. (2024). Design, Synthesis, and Antitumor Activity Evaluation of Artemisinin Bivalent Ligands. Molecules. 29(2). 409–409. 2 indexed citations
7.
Wang, Yuxiang, Zhaojun Zheng, Chaoyang Zhang, et al.. (2023). Comparative structural, digestion and absorption characterization of three common extruded plant proteins. Food Research International. 177. 113852–113852. 36 indexed citations
8.
Jiang, Qi, Cong Wu, Hui Zhong, et al.. (2023). Application of Deep Eutectic Solvents in Formation of Carbon‐Carbon and Carbon‐Heteroatom Bond by Cross‐Coupling Reactions. ChemistrySelect. 8(47). 7 indexed citations
9.
Wu, Cong, Xuemeng Fan, Tong Tang, & Bairong Shen. (2023). THE POSITIVITY OF SOLUTIONS TO CAPUTO FRACTIONAL-ORDER SEIR MODELS. Journal of Integral Equations and Applications. 35(4). 1 indexed citations
10.
Hou, Xiaolu, Xiaona Gao, Pei Liu, et al.. (2023). The 16S rDNA high-throughput sequencing correlation analysis of milk and gut microbial communities in mastitis Holstein cows. BMC Microbiology. 23(1). 180–180. 11 indexed citations
11.
Zhang, Weijia, et al.. (2023). Protein kinase ATR inhibits E3 ubiquitin ligase CRL4PRL1 to stabilize ribonucleotide reductase in response to replication stress. Cell Reports. 42(7). 112685–112685. 5 indexed citations
12.
Wu, Cong. (2023). Comparison principles for systems of Caputo fractional order ordinary differential equations. Chaos Solitons & Fractals. 171. 113437–113437. 3 indexed citations
13.
Tang, Tong Boon, Jingjing Li, Jiao Wang, et al.. (2022). Biomarkers discovery for endometrial cancer: A graph convolutional sample network method. Computers in Biology and Medicine. 150. 106200–106200. 3 indexed citations
14.
Wu, Cong, Xuemeng Fan, Tong Tang, & Bairong Shen. (2021). Modeling the Virus Infection at the Population Level. Advances in experimental medicine and biology. 1368. 141–166. 1 indexed citations
15.
Wu, Cong. (2021). A complete result on the Lyapunov stability of Caputo fractional-order nonautonomous systems by the comparison method. Nonlinear Dynamics. 105(3). 2473–2483. 7 indexed citations
16.
Wu, Cong, et al.. (2021). The Asymptotic Stability of Caputo Fractional Order Switching Systems With Only Continuous Vector Field Functions. IEEE Access. 9. 81345–81351. 2 indexed citations
17.
Zhao, Guangyi, et al.. (2020). 300 kV/6 mA integrated Cockcroft–Walton high voltage power supply for a compact neutron generator. Review of Scientific Instruments. 91(7). 74704–74704. 3 indexed citations
18.
Wu, Cong, et al.. (2020). Liveness is Not Enough: Enhancing Fingerprint Authentication with Behavioral Biometrics to Defeat Puppet Attacks. 2219–2236. 20 indexed citations
19.
Honoré, Per Hartvig, Christine Wade, Cheng Zhong, et al.. (2005). Interleukin-1αβ gene-deficient mice show reduced nociceptive sensitivity in models of inflammatory and neuropathic pain but not post-operative pain. Behavioural Brain Research. 167(2). 355–364. 99 indexed citations
20.
Massa, Paul T. & Cong Wu. (1996). The role of protein tyrosine phosphatase SHP-1 in the regulation of IFN-γ signaling in neural cells. The Journal of Immunology. 157(11). 5139–5144. 44 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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