Minxia Zhang

6.1k citations
49 papers · 3.8k indexed · 1 hit paper · h-index 15
Topics
Vehicle Routing Optimization Methods (8 papers)Metaheuristic Optimization Algorithms Research (5 papers)Animal Virus Infections Studies (4 papers)

In The Last Decade

Minxia Zhang

44 papers receiving 3.7k citations

Hit Papers

Clinical and immunological features of severe and moderat...2020202620222024202010002.0k3.0k

Peers

Minxia Zhang
Comparison fields: 5 of 163
  • Infectious Diseases 2.6k
  • Neurology 1.5k
  • Molecular Biology 420
  • Oncology 420
  • Immunology 403
Replace Shusheng Li with:
Shusheng Li China
Ke Ma China
Qiang Shu China
Emmanuel Andrès France
Junjie Cai China
Yukun Cao China
Wei Zhao China
Huiying Liang China
Lu Tang China
Francesco Rubino United States
Minxia Zhang relative to Shusheng Li China Shusheng Li's profile →
Citations per field
00.5×1.5×
Shusheng Li · 1×
Citations per year

Countries citing papers authored by Minxia Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Minxia Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minxia Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Minxia Zhang. A scholar is included among the top collaborators of Minxia Zhang 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 Minxia Zhang. Minxia Zhang 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 3
2 0
3 0
4 0
5 2
6 0
7 5
8 1
9 8
10 4
11 2
12 6
13
Clinical and immunological features of severe and moderate coronavirus disease 2019breakdown →
3242
14 3
15 1
16 7
17 35
18 3
19 15
20 0

About Minxia Zhang

Minxia Zhang is a scholar working on Industrial and Manufacturing Engineering, Rehabilitation and Animal Science and Zoology, having authored 49 papers that have together received 3.8k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Infectious Diseases (2.6k citations), Neurology (1.5k citations) and Biological Psychiatry (58 citations). Minxia Zhang has collaborated with scholars based in China, United Kingdom and Rwanda. Frequent co-authors include Shiji Wu, Xiaoping Zhang, Meifang Han, Hongwu Wang, Xiaoyun Zhang, Haijing Yu, Shusheng Li, Tao Chen, Jianxin Song and Yong Cao. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and IEEE Access.

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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