Ruifeng Ding

39 total papers · 712 total citations
30 papers, 434 citations indexed

About

Ruifeng Ding is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Ruifeng Ding has authored 30 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Ruifeng Ding's work include Pain Mechanisms and Treatments (5 papers), Recommender Systems and Techniques (3 papers) and Machine Learning in Healthcare (3 papers). Ruifeng Ding is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Recommender Systems and Techniques (3 papers) and Machine Learning in Healthcare (3 papers). Ruifeng Ding collaborates with scholars based in China and Singapore. Ruifeng Ding's co-authors include Zhenzhong Chen, Sibo Zhu, Tao Sun, Jing Xiao, Haochen Guan, Xinhui Feng, Zhibin Ye, Hongbin Yuan, Hua Tong and Linbo Xie and has published in prestigious journals such as Brain, Scientific Reports and European Heart Journal.

In The Last Decade

Ruifeng Ding

28 papers receiving 420 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ruifeng Ding 99 96 69 59 47 30 434
Mohammad Mamouei 40 0.4× 92 1.0× 4 0.1× 27 0.5× 6 0.1× 34 368
Federico Cismondi 73 0.7× 203 2.1× 24 0.3× 2 0.0× 10 0.2× 16 387
Ignacio Molina 63 0.6× 198 2.1× 56 0.8× 9 0.2× 2 0.0× 15 461
Αλέξανδρος Παπαδόπουλος 4 0.0× 47 0.5× 91 1.3× 19 0.3× 46 1.0× 28 410
Guodong Du 41 0.4× 252 2.6× 39 0.6× 18 0.3× 1 0.0× 26 463
Taqdir Ali 118 1.2× 148 1.5× 48 0.7× 8 0.1× 1 0.0× 40 436
José M. Martínez-Martínez 39 0.4× 187 1.9× 14 0.2× 3 0.1× 38 0.8× 22 457
Liantao Ma 144 1.5× 288 3.0× 16 0.2× 53 0.9× 1 0.0× 26 455
Zhou Qin 6 0.1× 47 0.5× 42 0.6× 32 0.5× 10 0.2× 37 378
František Babič 73 0.7× 113 1.2× 23 0.3× 7 0.1× 62 375

Countries citing papers authored by Ruifeng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ruifeng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruifeng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ruifeng Ding. A scholar is included among the top collaborators of Ruifeng Ding 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 Ruifeng Ding. Ruifeng Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026