Ruiquan Ge

792 total citations
56 papers, 452 citations indexed

About

Ruiquan Ge is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruiquan Ge has authored 56 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruiquan Ge's work include Machine Learning in Bioinformatics (15 papers), AI in cancer detection (6 papers) and vaccines and immunoinformatics approaches (5 papers). Ruiquan Ge is often cited by papers focused on Machine Learning in Bioinformatics (15 papers), AI in cancer detection (6 papers) and vaccines and immunoinformatics approaches (5 papers). Ruiquan Ge collaborates with scholars based in China, United States and Switzerland. Ruiquan Ge's co-authors include Fengfeng Zhou, Guoqin Mai, Guoqing Wang, Youxi Luo, Feiwei Qin, Dongli Ma, Meng Qing, Pu Wang, Renfeng Zhang and Yunpeng Cai and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ruiquan Ge

44 papers receiving 445 citations

Peers

Ruiquan Ge
Comparison fields: 5 of 108
  • Molecular Biology 163
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 90
  • Radiology, Nuclear Medicine and Imaging 49
  • Microbiology 38
Replace Quang‐Thai Ho with:
Quang‐Thai Ho Taiwan
Aftab Ahmed Pakistan
Huang Cheng-bing China
Majdi Khalid Saudi Arabia
Salman Khan Pakistan
Wenzheng Bao China
Runtao Yang China
Yongxian Fan China
Jamal Uddin Pakistan
Tonghai Jiang China
Quang‐Thai Ho Taiwan View profile →
Citations per field, relative to Ruiquan Ge
Ruiquan Ge · 1×
Citations per year, relative to Ruiquan Ge
Ruiquan Ge · 1×

Countries citing papers authored by Ruiquan Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ruiquan Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiquan Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiquan Ge. A scholar is included among the top collaborators of Ruiquan Ge 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 Ruiquan Ge. Ruiquan Ge 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 2
3 7
4 1
5 0
6 0
7 0
8 3
9 11
10 0
11 3
12 4
13 2
14 10
15 8
16 1
17 2
18 21
19 13
20 92

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