Jia‐Feng Liao

674 citations
49 papers · 511 indexed · h-index 12

Jia‐Feng Liao

44 papers receiving 463 citations

Peers

Jia‐Feng Liao
Comparison fields: 5 of 28
  • Applied Mathematics 476
  • Computational Theory and Mathematics 403
  • Mathematical Physics 195
  • Control and Systems Engineering 79
  • Numerical Analysis 12
Replace Gabriella Caristi with:
Gabriella Caristi Italy
Salvador Villegas Spain
Manel Sanchón Spain
Virginia De Cicco Italy
Lubomira G. Softova Italy
Shin–Hwa Wang Taiwan
Ederson Moreira dos Santos Brazil
Leandro M. Del Pezzo Argentina
Gisella Croce France
Tuoc Phan United States
Jia‐Feng Liao relative to Gabriella Caristi Italy Gabriella Caristi's profile →
Citations per field
00.5×9.6×
Gabriella Caristi · 1×
Citations per year

Countries citing papers authored by Jia‐Feng Liao

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Feng Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia‐Feng Liao. 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 Jia‐Feng Liao. The network helps show where Jia‐Feng Liao may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Jia‐Feng Liao, 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 Jia‐Feng Liao Line = papers co-authored together Jia‐Feng Liao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20231
4 20236
5 20221
6 20211
7 20193
8 20198
9 20183
10 20186
11 201720
12 201725
13 201637
14 201611
15 20166
16 20165
17 201545
18 201557
19
Existence of two positive solutions for a singular Neumann problem
20144
20 201490

About Jia‐Feng Liao

Jia‐Feng Liao is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 49 papers that have together received 511 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (45 papers), Advanced Mathematical Modeling in Engineering (43 papers), Nonlinear Differential Equations Analysis (23 papers), Advanced Mathematical Physics Problems (11 papers), Stability and Controllability of Differential Equations (7 papers), Differential Equations and Numerical Methods (3 papers), Spectral Theory in Mathematical Physics (3 papers) and Differential Equations and Boundary Problems (2 papers). The work is most often cited by research in Applied Mathematics (476 citations), Computational Theory and Mathematics (403 citations) and Mathematical Physics (195 citations). Jia‐Feng Liao has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Chun‐Lei Tang, Jiu Liu, Chun‐Yu Lei, Hongying Li, Peng Zhang, Peng Zhang, Ruiqi Liu, Yang Pu, Wen Bo Liao and Xing-Ping Wu. Their work appears in journals such as Computers & Mathematics with Applications, Mathematical Methods in the Applied Sciences, Journal of Mathematical Analysis and Applications, Qualitative Theory of Dynamical Systems and Communications on Pure & Applied Analysis.

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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