Xiaobing Nie

1.6k citations
50 papers · 1.3k · h-index 22

Impact in

Papers in

Xiaobing Nie

49 papers receiving 1.3k citations

Peers

Xiaobing Nie
Comparison fields: 5 of 56
  • Statistical and Nonlinear Physics 601
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 566
  • Modeling and Simulation 53
  • Control and Systems Engineering 186
Replace Zhengwen Tu with:
Zhengwen Tu China
Jin Hu China
Zhenkun Huang China
Xiaoxin Liao China
Zhichun Yang China
Xuyang Lou China
R. Sriraman India
R. Samidurai India
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Xiaobing Nie relative to Zhengwen Tu China Zhengwen Tu's profile →
Citations per field
00.5×2.6×
Zhengwen Tu · 1×
Citations per year

Countries citing papers authored by Xiaobing Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 2007104
3 201986
4 201874
5 201573
6 201166
7 201559
8 201558
9 201556
10 201149
11 202149
12 201645
13 201044
14 202143
15 201343
16 201938
17 201834
18 202328
19 202326
20 201526

About Xiaobing Nie

Xiaobing Nie is a scholar working on Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Mechanics of Materials, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (39 papers), Neural Networks and Applications (23 papers), stochastic dynamics and bifurcation (15 papers), Advanced Memory and Neural Computing (12 papers), Chaos control and synchronization (6 papers), Contact Mechanics and Variational Inequalities (6 papers), Adaptive Control of Nonlinear Systems (5 papers) and Numerical methods in engineering (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (601 citations), Computer Networks and Communications (1.1k citations), Artificial Intelligence (566 citations), Modeling and Simulation (53 citations) and Control and Systems Engineering (186 citations). Xiaobing Nie has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Jinde Cao, Wei Xing Zheng, Jinling Liang, Xinsong Yang, Zhichun Yang, Shumin Fei, Pingping Liu, Zhenkun Huang, Min Xiao and Chengdai Huang. Their work appears in journals such as Neural Networks, Neurocomputing, Neural Processing Letters, International Journal of Robust and Nonlinear Control and Nonlinear Analysis Real World Applications.

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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