Dinghua Shi

98 total papers · 949 total citations
58 papers, 661 citations indexed

About

Dinghua Shi is a scholar working on Statistical and Nonlinear Physics, Management Information Systems and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Dinghua Shi has authored 58 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistical and Nonlinear Physics, 13 papers in Management Information Systems and 11 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Dinghua Shi's work include Complex Network Analysis Techniques (21 papers), Advanced Queuing Theory Analysis (13 papers) and Reliability and Maintenance Optimization (11 papers). Dinghua Shi is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Advanced Queuing Theory Analysis (13 papers) and Reliability and Maintenance Optimization (11 papers). Dinghua Shi collaborates with scholars based in China, Hong Kong and Yemen. Dinghua Shi's co-authors include Xiuli Chao, Qinghua Chen, Linyuan Lü, Wei Li, Guanrong Chen, Wei Li, Tao Zhou, Liming Liu, Liming Liu and Li Liu and has published in prestigious journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications and Europhysics Letters (EPL).

In The Last Decade

Dinghua Shi

50 papers receiving 605 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dinghua Shi 230 197 152 151 117 58 661
I. Frisch 73 0.3× 22 0.1× 49 0.3× 295 2.0× 225 1.9× 42 665
Mirco Tribastone 49 0.2× 72 0.4× 24 0.2× 277 1.8× 62 0.5× 89 709
Oliver C. Ibe 17 0.1× 250 1.3× 59 0.4× 383 2.5× 227 1.9× 52 792
Lei Wu 132 0.6× 33 0.2× 23 0.2× 305 2.0× 63 0.5× 87 776
D. Arivudainambi 12 0.1× 308 1.6× 70 0.5× 330 2.2× 252 2.2× 50 665
Rosanna Manzo 22 0.1× 171 0.9× 18 0.1× 82 0.5× 69 0.6× 98 626
Giacomo Como 192 0.8× 27 0.1× 7 0.0× 259 1.7× 152 1.3× 91 742
Koenraad Laevens 18 0.1× 302 1.5× 33 0.2× 445 2.9× 394 3.4× 57 694
Qun Liu 128 0.6× 18 0.1× 38 0.3× 290 1.9× 66 0.6× 68 555
Graham Horton 39 0.2× 79 0.4× 16 0.1× 101 0.7× 104 0.9× 58 738

Countries citing papers authored by Dinghua Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dinghua Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinghua Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dinghua Shi. A scholar is included among the top collaborators of Dinghua Shi 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 Dinghua Shi. Dinghua Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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