Kaining Wang

804 total citations
25 papers, 602 citations indexed

About

Kaining Wang is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Kaining Wang has authored 25 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Control and Systems Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Kaining Wang's work include Neural Networks Stability and Synchronization (13 papers), Stability and Control of Uncertain Systems (10 papers) and Neural Networks and Applications (8 papers). Kaining Wang is often cited by papers focused on Neural Networks Stability and Synchronization (13 papers), Stability and Control of Uncertain Systems (10 papers) and Neural Networks and Applications (8 papers). Kaining Wang collaborates with scholars based in United States, China and Russia. Kaining Wang's co-authors include A.N. Michel, Hui Ye, Derong Liu, Hui Ye, Chaoyong Li, Shenping Xiao, Shangbo Zhou, Guanglong Li, Paul Watta and Ruiming Su and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Access.

In The Last Decade

Kaining Wang

22 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaining Wang United States 10 419 247 239 189 116 25 602
Lisheng Yin China 10 190 0.5× 103 0.4× 164 0.7× 197 1.0× 120 1.0× 19 537
Cheng‐De Zheng China 16 664 1.6× 248 1.0× 311 1.3× 211 1.1× 210 1.8× 61 749
Anping Chen China 16 902 2.2× 537 2.2× 343 1.4× 76 0.4× 201 1.7× 22 953
H.O. Wang Japan 7 415 1.0× 311 1.3× 185 0.8× 827 4.4× 49 0.4× 13 1.0k
Jin Hu China 11 936 2.2× 389 1.6× 454 1.9× 130 0.7× 426 3.7× 22 1.0k
Hao Yin China 8 151 0.4× 111 0.4× 133 0.6× 111 0.6× 47 0.4× 21 417
Yin Sheng China 21 981 2.3× 316 1.3× 399 1.7× 273 1.4× 503 4.3× 44 1.2k
Dongxue Peng China 10 429 1.0× 70 0.3× 218 0.9× 205 1.1× 56 0.5× 12 565
D. Porto Italy 7 270 0.6× 133 0.5× 309 1.3× 124 0.7× 52 0.4× 18 501

Countries citing papers authored by Kaining Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaining Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaining Wang. A scholar is included among the top collaborators of Kaining Wang 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 Kaining Wang. Kaining Wang 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.
Wang, Kaining, et al.. (2023). An Efficient Neural Network for Pig Counting and Localization by Density Map Estimation. IEEE Access. 11. 81079–81091. 5 indexed citations
2.
Wang, Kaining, et al.. (2023). Prescribed Performance Control of Multiple Parametric Strict-Feedback Systems in the Presence of Unknown Control Directions. IEEE Transactions on Systems Man and Cybernetics Systems. 54(1). 265–274. 8 indexed citations
3.
Su, Ruiming, et al.. (2022). The Corrosive Improvement with High Temperature Laser Surface Treatment of AA7075. Journal of Materials Engineering and Performance. 32(10). 4352–4360. 3 indexed citations
4.
Li, Xinke, Kaining Wang, & Er‐Ping Li. (2021). A Circuit Model for Electromagnetic Suppressing Spurious Noise of Synchronous DC-DC Buck Convertor. 492–496. 1 indexed citations
6.
Michel, A.N., Derong Liu, & Kaining Wang. (2005). Stability and stabilizability of a class of systems with state saturation and parameter uncertainties. 1. 231–235. 1 indexed citations
7.
Ye, Hui, A.N. Michel, & Kaining Wang. (2002). Robust stability of linear time-delay systems: retarded and neutral types. 2. 1488–1491. 2 indexed citations
8.
Wang, Kaining, A.N. Michel, & Derong Liu. (2002). Necessary and sufficient conditions for the stability of interval matrices. tp8 a. 2014–2019. 1 indexed citations
9.
Wang, Kaining & A.N. Michel. (2002). On Lyapunov stability of a family of nonlinear time-varying systems. 3. 2131–2136.
10.
Wang, Kaining & A.N. Michel. (1996). Stability analysis of differential inclusions in Banach space with applications to nonlinear systems with time delays. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 43(8). 617–626. 32 indexed citations
11.
Michel, A.N., Derong Liu, & Kaining Wang. (1995). Stability analysis of a class of systems with parameter uncertainties and with state saturation nonlinearities. International Journal of Robust and Nonlinear Control. 5(5). 505–519. 1 indexed citations
12.
Ye, Hui, A.N. Michel, & Kaining Wang. (1995). Qualitative analysis of Cohen-Grossberg neural networks with multiple delays. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(3). 2611–2618. 198 indexed citations
13.
Michel, A.N., Kaining Wang, Derong Liu, & Hui Ye. (1995). Qualitative limitations incurred in implementations of recurrent neural networks. IEEE Control Systems. 15(3). 52–65. 22 indexed citations
14.
Wang, Kaining, A.N. Michel, & Derong Liu. (1994). Necessary and sufficient conditions for the Hurwitz and Schur stability of interval matrices. IEEE Transactions on Automatic Control. 39(6). 1251–1255. 73 indexed citations
15.
Ye, Hui, A.N. Michel, & Kaining Wang. (1994). Global stability and local stability of Hopfield neural networks with delays. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 50(5). 4206–4213. 107 indexed citations
16.
Wang, Kaining & A.N. Michel. (1994). Necessary and sufficient conditions for the controllability and observability of a class of linear, time-invariant systems with interval plants. IEEE Transactions on Automatic Control. 39(7). 1443–1447. 20 indexed citations
17.
Wang, Kaining & A.N. Michel. (1994). Robustness and perturbation analysis of a class of artificial neural networks. Neural Networks. 7(2). 251–259. 16 indexed citations
18.
Wang, Kaining, et al.. (1994). Robustness and perturbation analysis of a class of nonlinear systems with applications to neural networks. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 41(1). 24–32. 32 indexed citations
19.
Wang, Kaining & A.N. Michel. (1993). On sufficient conditions for the stability of interval matrices. Systems & Control Letters. 20(5). 345–351. 23 indexed citations
20.
Michel, A.N. & Kaining Wang. (1993). Robust stability: perturbed systems with perturbed equilibria. Systems & Control Letters. 21(2). 155–162. 7 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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