Qiankun Wang

1.4k total citations
23 papers, 992 citations indexed

About

Qiankun Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Automotive Engineering. According to data from OpenAlex, Qiankun Wang has authored 23 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Automotive Engineering. Recurrent topics in Qiankun Wang's work include Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (4 papers) and vaccines and immunoinformatics approaches (4 papers). Qiankun Wang is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Computational Drug Discovery Methods (4 papers) and vaccines and immunoinformatics approaches (4 papers). Qiankun Wang collaborates with scholars based in China, Canada and Pakistan. Qiankun Wang's co-authors include Dong‐Qing Wei, Yi Xiong, Yanjing Wang, Yanyi Chu, Jia-Ni Shen, Zi‐Feng Ma, Yijun He, Guobin Zhong, Mingming Jiang and Dennis R. Salahub and has published in prestigious journals such as The Science of The Total Environment, Water Research and Food Chemistry.

In The Last Decade

Qiankun Wang

22 papers receiving 979 citations

Peers

Qiankun Wang
Comparison fields: 5 of 114
  • Molecular Biology 546
  • Computational Theory and Mathematics 312
  • Automotive Engineering 154
  • Electrical and Electronic Engineering 150
  • Infectious Diseases 114
Replace Aman Chandra Kaushik with:
Aman Chandra Kaushik China
Meshari Alazmi Saudi Arabia
Zhuyifan Ye Macao
G. Saravanan India
Ricardo J. Ferreira Portugal
Ian W. Andrews United States
Victoria M. Tran United States
Dan Han China
Sumanta Ray India
Aman Chandra Kaushik China View profile →
Citations per field, relative to Qiankun Wang
Qiankun Wang · 1×
Citations per year, relative to Qiankun Wang
Qiankun Wang · 1×

Countries citing papers authored by Qiankun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qiankun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiankun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiankun Wang. A scholar is included among the top collaborators of Qiankun 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 Qiankun Wang. Qiankun 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
# Work Indexed citations
1 2
2 1
3 12
4 13
5 15
6 1
7 6
8 5
9 0
10 112
11 36
12 42
13 55
14 126
15 8
16 58
17 64
18 135
19 34
20 99

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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