Haihua Wang

477 citations
27 papers · 350 indexed · 2 hit papers · h-index 11
Topics
Nonlinear Differential Equations Analysis (13 papers)Fractional Differential Equations Solutions (10 papers)Differential Equations and Numerical Methods (9 papers)

In The Last Decade

Haihua Wang

25 papers receiving 337 citations

Hit Papers

Deep Learning for Sustainable Agriculture: A Systematic R...20252026202520255101520

Peers

Haihua Wang
Comparison fields: 5 of 78
  • Plant Science 167
  • Applied Mathematics 80
  • Modeling and Simulation 58
  • Molecular Biology 53
  • Numerical Analysis 40
Replace Russell A. Gordon with:
Russell A. Gordon United States
Tran Ngoc Thach Vietnam
Quanguo Zhang China
Deng Zhang China
Vikram Singh India
José Antônio Rabi Brazil
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Haihua Wang relative to Russell A. Gordon United States Russell A. Gordon's profile →
Citations per field
00.5×10×15×20.8×
Russell A. Gordon · 1×
Citations per year

Countries citing papers authored by Haihua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haihua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Wang. A scholar is included among the top collaborators of Haihua Wang 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 Haihua Wang. Haihua Wang 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
#WorkIndexed citations
1 7
2 0
3
A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processingbreakdown →
18
4 5
5 11
6 0
7 1
8 45
9 6
10 98
11 3
12 12
13
Existence Results for Fuzzy Integral Equations of Fractional Order
13
14
Relations between changes in contents of phenolic acids and phenolic polymers and induced resistance to bacterial blight in rice under nickel treatment.
1
15 22
16 18
17 1
18 5
19 10
20 7

About Haihua Wang

Haihua Wang is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 27 papers that have together received 350 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (13 papers), Fractional Differential Equations Solutions (10 papers) and Differential Equations and Numerical Methods (9 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Applied Mathematics (80 citations) and Numerical Analysis (40 citations). Haihua Wang has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Xixu Peng, Xinke Tang, Jiao Meng, Jianhua Xiang, Saïd Hamadène, Yanqiong Liu, Haibo Chen, Shuan Meng, Jia‐Shi Peng and Yao Ni. Their work appears in journals such as Plant Molecular Biology, Sustainability and Applied Mathematics and Computation.

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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