Hua Luo

404 total citations
48 papers, 280 citations indexed

About

Hua Luo is a scholar working on Applied Mathematics, Numerical Analysis and Surgery. According to data from OpenAlex, Hua Luo has authored 48 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Mathematics, 12 papers in Numerical Analysis and 7 papers in Surgery. Recurrent topics in Hua Luo's work include Nonlinear Differential Equations Analysis (15 papers), Differential Equations and Numerical Methods (11 papers) and Differential Equations and Boundary Problems (7 papers). Hua Luo is often cited by papers focused on Nonlinear Differential Equations Analysis (15 papers), Differential Equations and Numerical Methods (11 papers) and Differential Equations and Boundary Problems (7 papers). Hua Luo collaborates with scholars based in China, United States and Russia. Hua Luo's co-authors include Martin Böhner, Ruyun Ma, Haipeng Zhang, Jianzhou Wang, Yunqiang Cai, Yongbin Li, Bing Peng, Pan Gao, Shuang Wang and Fang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Hua Luo

40 papers receiving 262 citations

Peers

Hua Luo
Comparison fields: 5 of 66
  • Applied Mathematics 122
  • Numerical Analysis 72
  • Surgery 62
  • Oncology 55
  • Pulmonary and Respiratory Medicine 42
Replace Yuying Zhou with:
Yuying Zhou China
Junying Cao China
Fabiana Leoni Italy
Chanchal Singh United States
Markus Reiß Germany
Pavel Ruzankin Russia
Laura De Carli United States
Márcia A. Inda Netherlands
Stefano Meda Italy
Xingwei Wang China
Yuying Zhou China View profile →
Citations per field, relative to Hua Luo
Hua Luo · 1×
Citations per year, relative to Hua Luo
Hua Luo · 1×

Countries citing papers authored by Hua Luo

Since Specialization
Citations

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

Fields of papers citing papers by Hua Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Luo

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 19
4 0
5 0
6 0
7 1
8 1
9 1
10 2
11 11
12 4
13 0
14 0
15 1
16 6
17 2
18 49
19
Emission reduction from Clean Development Mechanism projects on intensive livestock farms and its economic benefits.
2
20
Positive solutions to a generalized second-order three-point boundary-value problem on time scales
29

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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