Caixia Wang

748 citations
64 papers · 534 indexed · h-index 15
Topics
Bioinformatics and Genomic Networks (8 papers)Computational Drug Discovery Methods (7 papers)Advanced Graph Theory Research (7 papers)

In The Last Decade

Caixia Wang

57 papers receiving 528 citations

Peers

Caixia Wang
Comparison fields: 5 of 135
  • Molecular Biology 122
  • Statistical and Nonlinear Physics 70
  • Computer Networks and Communications 66
  • Computational Theory and Mathematics 60
  • Materials Chemistry 59
Replace Leonid Kalachev with:
Leonid Kalachev United States
Marcos G. Quiles Brazil
Liang Liang United States
Erik Steur Netherlands
Hirokazu Hori Japan
J.L. Stephenson United States
Scott Hagan United States
Man-Sun Kim South Korea
A. Essig United States
Caixia Wang relative to Leonid Kalachev United States Leonid Kalachev's profile →
Citations per field
00.5×1.5×2.3×
Leonid Kalachev · 1×
Citations per year

Countries citing papers authored by Caixia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Wang. A scholar is included among the top collaborators of Caixia 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 Caixia Wang. Caixia 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 0
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6 0
7 2
8 6
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10 1
11 12
12 17
13 1
14 49
15 13
16
Community structure and temporal dynamics of fungi in cuticle and core of bagging and un-bagging apple fruits
4
17 6
18
Strategy Analysis on Differential Pricing in Closed-Loop Supply Chain with Remanufacturing
2
19
On swarm controllability of linear dynamical multi-agent systems
0
20 15

About Caixia Wang

Caixia Wang is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Endocrine and Autonomic Systems, having authored 64 papers that have together received 534 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (7 papers) and Advanced Graph Theory Research (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (70 citations), Catalysis (36 citations) and Endocrine and Autonomic Systems (30 citations). Caixia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongjun Cao, Guanjun Wang, Mingfei Zhou, Liyan Sun, Ning Cai, Junwei Cao, Xiaopeng Xing, Heyu Chen, Yuzhen Li and Weihai Ying. Their work appears in journals such as The Journal of Chemical Physics, Journal of Applied Physics and Chemosphere.

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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