Guoting Chen

1.0k citations
71 papers · 747 · h-index 15

Impact in

Papers in

Guoting Chen

65 papers receiving 716 citations

Peers

Guoting Chen
Comparison fields: 5 of 108
  • Geometry and Topology 198
  • Statistical and Nonlinear Physics 207
  • Modeling and Simulation 68
  • Cancer Research 87
  • Computational Theory and Mathematics 93
Replace Robert T. Smythe with:
Robert T. Smythe United States
Christian M. Reidys United States
Xiaoshen Wang United States
Tom Bohman United States
Seth Sullivant United States
Mohd Salmi Md Noorani Malaysia
Kenneth S. Berenhaut United States
Krzysztof Ciesielski Poland
Abdul Salam Jarrah United States
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Citations per field
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Citations per year

Countries citing papers authored by Guoting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guoting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201256
2
Decreased expression of microRNA-130a correlates with TNF-α in the development of osteoarthritis.
201547
3 200647
4 200342
5 200940
6 202225
7 201925
8 201625
9 200025
10 201924
11 202222
12 200020
13 201819
14 202017
15 200215
16 202315
17 201215
18 202314
19 201114
20 202213

About Guoting Chen

Guoting Chen is a scholar working on Geometry and Topology, Information Systems, Computational Theory and Mathematics, Signal Processing and Statistical and Nonlinear Physics, having authored 71 papers that have together received 747 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (22 papers), Advanced Differential Equations and Dynamical Systems (17 papers), Rough Sets and Fuzzy Logic (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Data Management and Algorithms (8 papers), Imbalanced Data Classification Techniques (7 papers), Quantum chaos and dynamical systems (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Geometry and Topology (198 citations), Statistical and Nonlinear Physics (207 citations), Modeling and Simulation (68 citations), Cancer Research (87 citations) and Computational Theory and Mathematics (93 citations). Guoting Chen has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Tiecheng Li, Jean Della Dora, Changjian Liu, Wensheng Gan, Dongmei Xiao, Linlin Cai, Guanrong Chen, Chengzhi Li, Duo Wang and Ning Han. Their work appears in journals such as Information Sciences, International Journal of Bifurcation and Chaos, Engineering Applications of Artificial Intelligence, Expert Systems with Applications and Frontiers in Genetics.

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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