Daqing Jiang

11.4k citations
341 papers · 9.2k · h-index 48

Impact in

Papers in

Daqing Jiang

331 papers receiving 8.8k citations

Peers

Daqing Jiang
Comparison fields: 5 of 125
  • Modeling and Simulation 5.3k
  • Public Health, Environmental and Occupational Health 6.6k
  • Applied Mathematics 2.3k
  • Numerical Analysis 1.1k
  • Genetics 4.0k
Replace Junping Shi with:
Junping Shi United States
Hal L. Smith United States
Shigui Ruan United States
Xiao‐Qiang Zhao Canada
Lansun Chen China
Yihong Du Australia
H. I. Freedman Canada
Yuan Lou United States
Yang Kuang United States
Paul Waltman United States
Daqing Jiang relative to Junping Shi United States Junping Shi's profile →
Citations per field
00.5×1.5×2.2×
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Citations per year

Countries citing papers authored by Daqing Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 341 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013297
2 2009277
3 2014262
4 2014240
5 2007191
6 2009186
7 2010177
8 2011176
9 2013173
10 2011164
11 2004152
12 2011143
13 2009139
14 2013134
15 2009126
16 2016112
17 2005109
18 2005105
19 2011101
20 2009100

About Daqing Jiang

Daqing Jiang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Applied Mathematics and Numerical Analysis, having authored 341 papers that have together received 9.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (241 papers), Evolution and Genetic Dynamics (154 papers), Nonlinear Differential Equations Analysis (103 papers), COVID-19 epidemiological studies (84 papers), Differential Equations and Numerical Methods (63 papers), Mathematical Biology Tumor Growth (63 papers), Stochastic processes and statistical mechanics (45 papers) and Differential Equations and Boundary Problems (39 papers). The work is most often cited by research in Modeling and Simulation (5.3k citations), Public Health, Environmental and Occupational Health (6.6k citations), Applied Mathematics (2.3k citations), Numerical Analysis (1.1k citations) and Genetics (4.0k citations). Daqing Jiang has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Ningzhong Shi, Chunyan Ji, Tasawar Hayat, Yanan Zhao, Qun Liu, Ahmed Alsaedi, Donal O’Regan, Xiaoyue Li, Chengjun Yuan and Bashir Ahmad. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Applied Mathematics and Computation, Journal of Mathematical Analysis and Applications, Applied Mathematics Letters and Computers & Mathematics with 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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