Kaining Wang

809 citations
25 papers · 605 · h-index 10

Impact in

Papers in

Kaining Wang

22 papers receiving 583 citations

Peers

Kaining Wang
Comparison fields: 5 of 50
  • Statistical and Nonlinear Physics 238
  • Computer Networks and Communications 419
  • Control and Systems Engineering 190
  • Artificial Intelligence 247
  • Computational Theory and Mathematics 60
Replace H.O. Wang with:
H.O. Wang United States
Lisheng Yin China
D. Porto Italy
Jin Hu China
Hao Yin China
Cheng‐De Zheng China
Pratap Anbalagan India
Yin Sheng China
Bangxin Jiang China
P. Muthukumar India
Kaining Wang relative to H.O. Wang United States H.O. Wang's profile →
Citations per field
00.5×1.5×
H.O. Wang · 1×
Citations per year

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-authors

The 15 scholars most cited alongside Kaining Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaining Wang Line = papers co-authored together Kaining Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995197
2 1994107
3 199473
4 199742
5 199633
6 199432
7 199323
8 199522
9 199420
10 199416
11 20239
12 19937
13 20237
14 19934
15 20223
16 19953
17 20022
18 20021
19 19951
20
Necessary and Sufficient Conditions for the Stability of
19931

About Kaining Wang

Kaining Wang is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 25 papers that have together received 605 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (13 papers), Stability and Control of Uncertain Systems (10 papers), Neural Networks and Applications (8 papers), Advanced Control Systems Optimization (7 papers), Advanced Memory and Neural Computing (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Stability and Controllability of Differential Equations (4 papers) and stochastic dynamics and bifurcation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (238 citations), Computer Networks and Communications (419 citations), Control and Systems Engineering (190 citations), Artificial Intelligence (247 citations) and Computational Theory and Mathematics (60 citations). Kaining Wang has collaborated with scholars based in United States, China and Russia. Frequent co-authors include A.N. Michel, Hui Ye, Derong Liu, Hui Ye, Shangbo Zhou, Chaoyong Li, Shenping Xiao, Ruiming Su, M.H. Hassoun and Paul Watta. Their work appears in journals such as IEEE Transactions on Automatic Control, Systems & Control Letters, Journal of Materials Engineering and Performance, IEEE Transactions on Systems Man and Cybernetics Systems and Neural Networks.

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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