Xining Wang

829 citations
57 papers · 548 · h-index 12

Impact in

Papers in

Xining Wang

44 papers receiving 533 citations

Peers

Xining Wang
Comparison fields: 5 of 123
  • Geochemistry and Petrology 51
  • Health, Toxicology and Mutagenesis 87
  • Nuclear and High Energy Physics 83
  • Nephrology 24
  • Pollution 34
Replace R. C. Scott with:
R. C. Scott United Kingdom
Shuxin Liu China
Shuyan Ma China
R. Ma China
Andrew Jewel Gomes United States
Ray L. Hanson United States
Daniel Miller Germany
Jincheng Xu China
Douglas S. Montgomery Canada
Mengting Li China
Xining Wang relative to R. C. Scott United Kingdom R. C. Scott's profile →
Citations per field
00.5×5×11.2×
R. C. Scott · 1×
Citations per year

Countries citing papers authored by Xining Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200974
2 201674
3 201653
4 202337
5 201934
6 202433
7 201526
8 201725
9 202021
10 200120
11 202118
12 201818
13 202512
14 201810
15 201710
16 20249
17 20208
18 20246
19 20256
20 20225

About Xining Wang

Xining Wang is a scholar working on Nuclear and High Energy Physics, Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition, Polymers and Plastics and Computer Science Applications, having authored 57 papers that have together received 548 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (7 papers), Quantum Chromodynamics and Particle Interactions (4 papers), Computational Physics and Python Applications (3 papers), Polymer crystallization and properties (3 papers), Dermatologic Treatments and Research (2 papers), Advanced Image Processing Techniques (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Geochemistry and Petrology (51 citations), Health, Toxicology and Mutagenesis (87 citations), Nuclear and High Energy Physics (83 citations), Nephrology (24 citations) and Pollution (34 citations). Xining Wang has collaborated with scholars based in China, Switzerland and Ireland. Frequent co-authors include Lijun Shao, Yongjun Liu, Luping Yang, Peng Liu, Yan Wang, Tao Chen, Xicheng Wang, Liying Jiang, Chengming Zhang and Rui Zhang. Their work appears in journals such as Journal of High Energy Physics, Frontiers in Public Health, Physical Review Letters, Cell & Bioscience and Physical review. D.

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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