Qingfeng Chen

5.1k citations
178 papers · 3.9k · 2 hit papers · h-index 34

Impact in

Papers in

    • Cancer-related molecular mechanisms research 17
    • MicroRNA in disease regulation 12
    • Machine Learning in Bioinformatics 14
    • Bioinformatics and Genomic Networks 13
    • RNA and protein synthesis mechanisms 12
    • Circular RNAs in diseases 9

Qingfeng Chen

160 papers receiving 3.8k citations

Qingfeng Chen's Hit Papers

The Large Language Models on Biomedical Data Analysis: A Survey 2025 · 35 citations
350+1Years since publication204060

Peers

Qingfeng Chen
Comparison fields: 5 of 178
  • Physiology 335
  • Sensory Systems 309
  • Cancer Research 490
  • Molecular Biology 1.4k
  • Structural Biology 25
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Qingfeng Chen relative to Xiaowen Liu China Xiaowen Liu's profile →
Citations per field
00.5×2×4×6×7.3×
Xiaowen Liu · 1×
Citations per year

Countries citing papers authored by Qingfeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qingfeng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qingfeng Chen Line = papers co-authored together Qingfeng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017269
2 2015206
3 2017165
4 2018155
5 2019150
6 2011107
7 2019105
8 202191
9 202188
10 201383
11 202075
12 200971
13 202171
14 202368
15 201268
16 202266
17 201961
18
Deep learning-based acoustic emission data clustering for crack evaluation of welded joints in field bridges
Hit paper breakdown →
202461
19 202156
20 201956

About Qingfeng Chen

Qingfeng Chen is a scholar working on Cancer Research, Molecular Biology, Environmental Chemistry, Information Systems and Computational Theory and Mathematics, having authored 178 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Machine Learning in Bioinformatics (14 papers), Bioinformatics and Genomic Networks (13 papers), MicroRNA in disease regulation (12 papers), RNA and protein synthesis mechanisms (12 papers), Advanced Authentication Protocols Security (10 papers), User Authentication and Security Systems (10 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Physiology (335 citations), Sensory Systems (309 citations), Cancer Research (490 citations), Molecular Biology (1.4k citations) and Structural Biology (25 citations). Qingfeng Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Weizhong Zeng, Youxing Jiang, Jiangtao Guo, Ji She, Xiao‐chen Bai, Wei Lan, Yi‐Ping Phoebe Chen, Changsheng Zhao, Jianxin Wang and Jin Liu. Their work appears in journals such as IEEE Transactions on Computational Biology and Bioinformatics, Chemosphere, Nature, Environmental Pollution and Neurocomputing.

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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