Qinxia Wang

29 papers receiving 193 citations

Peers

Qinxia Wang
Comparison fields: 5 of 74
  • Modeling and Simulation 17
  • Geophysics 36
  • Artificial Intelligence 54
  • Atomic and Molecular Physics, and Optics 45
  • Media Technology 10
Replace Jean‐Louis Rouet with:
Jean‐Louis Rouet France
Aimin Yan United States
P. Randaccio Italy
Xue Lei China
J. J. Bissell United Kingdom
A. Maiorano Italy
Timothy G. Feeman United States
Mahmoud Gaballah Egypt
S.R. Hashemi-Nezhad Australia
Qinxia Wang relative to Jean‐Louis Rouet France Jean‐Louis Rouet's profile →
Citations per field
00.5×7.3×
Jean‐Louis Rouet · 1×
Citations per year

Countries citing papers authored by Qinxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qinxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202345
2 201622
3 201718
4 202017
5 202217
6 20218
7 20247
8 20236
9 20206
10 20226
11 20226
12 20235
13 20185
14 20244
15 20254
16 20243
17 20223
18 20223
19 20252
20 20222

About Qinxia Wang

Qinxia Wang is a scholar working on Artificial Intelligence, Geophysics, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Management, Monitoring, Policy and Law, having authored 35 papers that have together received 201 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (5 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum optics and atomic interactions (4 papers), Flood Risk Assessment and Management (3 papers), COVID-19 epidemiological studies (3 papers), earthquake and tectonic studies (3 papers) and Landslides and related hazards (3 papers). The work is most often cited by research in Modeling and Simulation (17 citations), Geophysics (36 citations), Artificial Intelligence (54 citations), Atomic and Molecular Physics, and Optics (45 citations) and Media Technology (10 citations). Qinxia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuanjia Wang, Huaiwei Ni, Pengfei Zhang, Tiancai Zhang, Xiaoping Yang, Gang Li, Donglin Zeng, Zhihui Wang, Xuan Guo and Wan-Cai Li. Their work appears in journals such as Applied Sciences, Geochimica et Cosmochimica Acta, Statistics in Medicine, Journal of Geophysical Research Solid Earth and Engineering Applications of Artificial Intelligence.

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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