Fang Tong

1.4k citations
90 papers · 1.2k indexed · h-index 20
Topics
Chaos control and synchronization (25 papers)Nonlinear Dynamics and Pattern Formation (20 papers)Probabilistic and Robust Engineering Design (19 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Fang Tong

86 papers receiving 1.1k citations

Peers

Fang Tong
Comparison fields: 5 of 109
  • Statistical and Nonlinear Physics 509
  • Computer Networks and Communications 306
  • Civil and Structural Engineering 269
  • Statistics, Probability and Uncertainty 266
  • Control and Systems Engineering 171
Replace Apostolos F. Psaros with:
Apostolos F. Psaros United States
Shangbin Jiao China
Maria Haase Germany
Gang Zhang China
Bart G. van Bloemen Waanders United States
L. Miguel Silveira Portugal
Richard Field United States
Ashok Kumar Patel United States
Hongzhe Dai China
Xiaohong Shen China
Fang Tong relative to Apostolos F. Psaros United States Apostolos F. Psaros's profile →
Citations per field
00.5×20×40×58×
Apostolos F. Psaros · 1×
Citations per year

Countries citing papers authored by Fang Tong

Since Specialization
Citations

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

Fields of papers citing papers by Fang Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Tong. A scholar is included among the top collaborators of Fang Tong 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 Fang Tong. Fang Tong 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
#WorkIndexed citations
1 5
2 0
3 1
4 20
5 3
6 14
7 1
8 5
9 3
10 4
11 17
12 4
13
[Distribution and bioavailability of nitrogen and phosphorus species in the urban dusts from Hefei City].
1
14
[Distribution of metals in urban dusts of Hefei and health risk assessment].
38
15 4
16 5
17
Understanding of chaos together with its control and synchronization
0
18 7
19 45
20 6

About Fang Tong

Fang Tong is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Civil and Structural Engineering, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chaos control and synchronization (25 papers), Nonlinear Dynamics and Pattern Formation (20 papers) and Probabilistic and Robust Engineering Design (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (509 citations), Statistics, Probability and Uncertainty (266 citations) and Modeling and Simulation (80 citations). Fang Tong has collaborated with scholars based in China, United States and France. Frequent co-authors include Wei Xu, Haiwu Rong, Guang Meng, Youming Lei, Qun He, Wei Xu, Zhongkui Sun, Xiaoli Yang, Xiangdong Wang and Mark K. Hinders. Their work appears in journals such as The Astrophysical Journal, Scientific Reports and PLoS Biology.

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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