Hailing Wang

567 citations
33 papers · 456 · h-index 13

Impact in

Papers in

Hailing Wang

32 papers receiving 435 citations

Peers

Hailing Wang
Comparison fields: 5 of 75
  • Modeling and Simulation 76
  • Public Health, Environmental and Occupational Health 228
  • Applied Mathematics 63
  • Geometry and Topology 49
  • Numerical Analysis 25
Replace Xiuxiang Liu with:
Xiuxiang Liu China
Aimin Zhao China
Renji Han China
Hong Qiu China
Joel Pasternack United States
Alessandra Laforgia Italy
Magali Ribot France
Eva Schumacher Norway
Eric V. Li United States
Hailing Wang relative to Xiuxiang Liu China Xiuxiang Liu's profile →
Citations per field
00.5×2.6×
Xiuxiang Liu · 1×
Citations per year

Countries citing papers authored by Hailing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 200745
3 200545
4 201329
5 202327
6 202125
7 201423
8 201122
9 200622
10 201617
11 201317
12 201516
13 201012
14 201512
15 201912
16 201210
17 201510
18 20179
19 20228
20 20127

About Hailing Wang

Hailing Wang is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Computer Networks and Communications, Modeling and Simulation and Molecular Biology, having authored 33 papers that have together received 456 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Mathematical Biology Tumor Growth (6 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Quantum chaos and dynamical systems (2 papers), Neuroblastoma Research and Treatments (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Public Health, Environmental and Occupational Health (228 citations), Applied Mathematics (63 citations), Geometry and Topology (49 citations) and Numerical Analysis (25 citations). Hailing Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Weiming Wang, Zhenqing Li, Zhenqing Li, Weiming Wang, Xi Wei, Xinze Lian, Sheng Zhang, Huijing He, Xianghua Wang and Dingming Wang. Their work appears in journals such as Chaos Solitons & Fractals, Advances in Difference Equations, Frontiers in Nutrition, Pediatric Surgery International and Nonlinear Dynamics.

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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