Runqi Wang

443 total citations
32 papers, 206 citations indexed

About

Runqi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Runqi Wang has authored 32 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Runqi Wang's work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Runqi Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Runqi Wang collaborates with scholars based in China, United States and Sweden. Runqi Wang's co-authors include Baochang Zhang, John Kemeny, Lei Deng, Han‐Wei Shen, Jingyi Shen, Shuo Zhang, Yiping Wang, Lei Li, Yilin Zheng and David Doermann and has published in prestigious journals such as Journal of the American Chemical Society, International Journal of Molecular Sciences and BMC Bioinformatics.

In The Last Decade

Runqi Wang

26 papers receiving 200 citations

Peers

Runqi Wang
Comparison fields: 5 of 95
  • Molecular Biology 47
  • Artificial Intelligence 36
  • Computer Vision and Pattern Recognition 35
  • Cancer Research 26
  • Electrical and Electronic Engineering 25
Replace Yaotian Zhang with:
Yaotian Zhang China
Tao Tong China
Hongyu Kong China
Nuno Matela Portugal
Xinyu Xiao China
Mengchen Zhu China
Ju Zhou China
He Sun China
Lixin Zhang China
Yaotian Zhang China View profile →
Citations per field, relative to Runqi Wang
Runqi Wang · 1×
Citations per year, relative to Runqi Wang
Runqi Wang · 1×

Countries citing papers authored by Runqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Runqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Runqi Wang. A scholar is included among the top collaborators of Runqi 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 Runqi Wang. Runqi 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 0
2 0
3 1
4 3
5 7
6 0
7 2
8 6
9 13
10 6
11 8
12 1
13 0
14 2
15 14
16 21
17 6
18 17
19
A Study of the Coupling Between Mechanical Loading and Flow Properties in Tuffaceous Rock
10
20
Micromechanics of deformation in Topopah Spring tuff, Yucca Mountain, Nevada
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026