Chengjian Zhang

2.6k citations
129 papers · 2.1k indexed · h-index 28

Chengjian Zhang

124 papers receiving 2.0k citations

Peers

Chengjian Zhang
Comparison fields: 5 of 57
  • Numerical Analysis 1.6k
  • Modeling and Simulation 1.1k
  • Applied Mathematics 231
  • Statistical and Nonlinear Physics 264
  • Computational Theory and Mathematics 335
Replace Hai‐Wei Sun with:
Hai‐Wei Sun Macao
Higinio Ramos Spain
Beatrice Paternoster Italy
Pratibhamoy Das India
Yubin Yan United Kingdom
Aiguo Xiao China
Jalil Rashidinia Iran
Dongfang Li China
A. Golbabai Iran
Seakweng Vong Macao
Chengjian Zhang relative to Hai‐Wei Sun Macao Hai‐Wei Sun's profile →
Citations per field
00.5×1.5×
Hai‐Wei Sun · 1×
Citations per year

Countries citing papers authored by Chengjian Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chengjian Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202316
4 20209
5 20193
6 20185
7 2016111
8 201641
9 201622
10 20148
11 20135
12 201232
13 20125
14 201027
15
Mean-Square Stability of Milstein Method for Solving Nonlinear Stochastic Delay Differential Equations
20085
16
On the Spatially Homogeneous ES Model of the Boltzmann Equation
20061
17 200360
18
Convergence analysis for general linear methods applied to stiff delay differential equations
20021
19 200225
20 199743

About Chengjian Zhang

Chengjian Zhang is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Numerical methods for differential equations (88 papers), Differential Equations and Numerical Methods (84 papers), Fractional Differential Equations Solutions (49 papers), Advanced Numerical Methods in Computational Mathematics (21 papers), Electromagnetic Simulation and Numerical Methods (14 papers), Advanced Mathematical Modeling in Engineering (12 papers), Matrix Theory and Algorithms (11 papers) and Stochastic processes and financial applications (9 papers). The work is most often cited by research in Numerical Analysis (1.6k citations), Modeling and Simulation (1.1k citations) and Applied Mathematics (231 citations). Chengjian Zhang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Maohua Ran, Dongfang Li, Stefan Vandewalle, Qifeng Zhang, Dongfang Li, Dingwen Deng, Hao Chen, Wansheng Wang, Hao Chen and Shuzi Zhou. Their work appears in journals such as Applied Mathematics and Computation, Applied Numerical Mathematics, Journal of Computational and Applied Mathematics, Communications in Nonlinear Science and Numerical Simulation and Applied Mathematics Letters.

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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