Guijun Wang

1.7k citations
44 papers · 1.3k indexed · h-index 15
Topics
Fuzzy Systems and Optimization (8 papers)Multi-Criteria Decision Making (6 papers)Optimization and Variational Analysis (4 papers)

In The Last Decade

Guijun Wang

41 papers receiving 1.3k citations

Peers

Guijun Wang
Comparison fields: 5 of 116
  • Molecular Biology 910
  • Immunology 426
  • Cancer Research 395
  • Oncology 161
  • Pulmonary and Respiratory Medicine 119
Replace Qianchuan He with:
Qianchuan He United States
Tsung‐Lin Cheng Taiwan
Kaoru Tohyama Japan
Hongxing Ma China
Xuejun Liu United States
Haibing Zhang China
Xiang Hu China
Siriporn Jitkaew Thailand
Lih‐Chyang Chen Taiwan
Sun Young Lee South Korea
Guijun Wang relative to Qianchuan He United States Qianchuan He's profile →
Citations per field
00.5×1.5×2.3×
Qianchuan He · 1×
Citations per year

Countries citing papers authored by Guijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guijun Wang. A scholar is included among the top collaborators of Guijun 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 Guijun Wang. Guijun 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
2 0
3 8
4 8
5 5
6 8
7 7
8 5
9 5
10 6
11 45
12 13
13 17
14 245
15 23
16 22
17 115
18
Analysis on the serotypes and drug-susceptibility of Salmnella isolates from pig carcass
1
19
Null-Additivity and Absolute Continuity of K-quasi-Additive Fuzzy Number Valued Integrals
1
20 11

About Guijun Wang

Guijun Wang is a scholar working on Statistics and Probability, Management Science and Operations Research and Immunology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (8 papers), Multi-Criteria Decision Making (6 papers) and Optimization and Variational Analysis (4 papers). The work is most often cited by research in Cancer Research (395 citations), Immunology (426 citations) and Molecular Biology (910 citations). Guijun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoyu Xiang, Yuelong Liu, Ziqiang Cheng, Zhongbin Deng, Cunren Liu, Spandan V. Shah, Jianhua Wang, Huang‐Ge Zhang, William E. Grizzle and Dinuo Li. Their work appears in journals such as The Journal of Immunology, The FASEB Journal and Biochemical and Biophysical Research Communications.

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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