Xiaoying Han

90 papers receiving 1.3k citations

Peers

Xiaoying Han
Comparison fields: 5 of 141
  • Control and Systems Engineering 699
  • Computational Theory and Mathematics 429
  • Modeling and Simulation 108
  • Computer Networks and Communications 473
  • Mathematical Physics 165
Replace Qi Lü with:
Qi Lü China
Sergey V. Lototsky United States
Akira Ichikawa Japan
Stefan Siegmund Germany
Francesco Rossi Italy
E. F. Infante United States
Chunyu Yang China
Guillermo Fernández‐Anaya Mexico
Marco Di Francesco Italy
Hasnaa Zidani France
Xiaoying Han relative to Qi Lü China Qi Lü's profile →
Citations per field
00.5×1.5×1.9×
Qi Lü · 1×
Citations per year

Countries citing papers authored by Xiaoying Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010146
2 201787
3 201553
4 201651
5 201047
6 201245
7 201644
8 201139
9 202038
10 201836
11 201630
12 202029
13 201229
14 201129
15 201926
16 201526
17 201125
18 201924
19 201323
20 201523

About Xiaoying Han

Xiaoying Han is a scholar working on Molecular Biology, Computer Networks and Communications, Control and Systems Engineering, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (24 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Advanced Mathematical Modeling in Engineering (15 papers), Neural Networks Stability and Synchronization (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Mathematical Biology Tumor Growth (9 papers), stochastic dynamics and bifurcation (8 papers) and Gene Regulatory Network Analysis (7 papers). The work is most often cited by research in Control and Systems Engineering (699 citations), Computational Theory and Mathematics (429 citations), Modeling and Simulation (108 citations), Computer Networks and Communications (473 citations) and Mathematical Physics (165 citations). Xiaoying Han has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peter E. Kloeden, Shengfan Zhou, Tomás Caraballo, Wenxian Shen, José Valero, Björn Schmalfuß, Stefanie Sonner, Habib N. Najm, Ruodu Wang and Yejuan Wang. Their work appears in journals such as Discrete and Continuous Dynamical Systems - B, Journal of Differential Equations, Stochastics and Dynamics, Communications on Pure & Applied Analysis 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.

Explore authors with similar magnitude of impact