Xia Huang

5.9k citations
183 papers · 4.9k · h-index 41

Impact in

Papers in

Xia Huang

169 papers receiving 4.7k citations

Peers

Xia Huang
Comparison fields: 5 of 118
  • Statistical and Nonlinear Physics 1.9k
  • Computer Networks and Communications 3.1k
  • Modeling and Simulation 563
  • Control and Systems Engineering 1.4k
  • Artificial Intelligence 987
Replace Yongguang Yu with:
Yongguang Yu China
Grienggrai Rajchakit Thailand
Ranchao Wu China
M. Syed Ali India
Jitao Sun China
Г. А. Леонов Russia
Chaouki Aouiti Tunisia
Sundarapandian Vaıdyanathan India
Giuseppe Grassi Italy
Аlexander L. Fradkov Russia
Xia Huang relative to Yongguang Yu China Yongguang Yu's profile →
Citations per field
00.5×1.6×
Yongguang Yu · 1×
Citations per year

Countries citing papers authored by Xia Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xia Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xia Huang, 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 Xia Huang Line = papers co-authored together Xia Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011258
2 2017188
3 2019173
4 2012154
5 2018147
6 2018130
7 2018129
8 2006117
9 2003114
10 2011110
11 201797
12 201394
13 201894
14 200687
15 201185
16 201879
17 201973
18 201971
19 201870
20 200469

About Xia Huang

Xia Huang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 183 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (98 papers), Advanced Memory and Neural Computing (45 papers), stochastic dynamics and bifurcation (38 papers), Stability and Control of Uncertain Systems (34 papers), Chaos control and synchronization (30 papers), Nonlinear Dynamics and Pattern Formation (22 papers), Neural Networks and Applications (20 papers) and Distributed Control Multi-Agent Systems (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.9k citations), Computer Networks and Communications (3.1k citations), Modeling and Simulation (563 citations), Control and Systems Engineering (1.4k citations) and Artificial Intelligence (987 citations). Xia Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhen Wang, Yuxia Li, Hao Shen, Jinde Cao, Yingjie Fan, Jianwei Xia, Guodong Shi, Jing Wang, Jia Jia and Daniel W. C. Ho. Their work appears in journals such as Neurocomputing, Journal of the Franklin Institute, IEEE Transactions on Automation Science and Engineering, International Journal of Bifurcation and Chaos and IEEE Transactions on Neural Networks and Learning Systems.

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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