Qingfeng Chen
Impact in
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Bioinformatics and Genomic Networks 6
- Circular RNAs in diseases 4
- Gene expression and cancer classification 3
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Wei Lan (12 shared papers)Yi‐Ping Phoebe Chen (9 shared papers)Yi Pan (5 shared papers)Jin Liu (3 shared papers)Yanpeng Zhang (1 shared paper)Wenjun Xie (1 shared paper)Hongjun Yang (1 shared paper)Lanfang Wu (1 shared paper)
In The Last Decade
Qingfeng Chen
39 papers receiving 555 citations
Qingfeng Chen's Hit Papers
Peers
Comparison fields: 5 of 83
- Soil Science 88
- Cancer Research 110
- Industrial and Manufacturing Engineering 57
- Water Science and Technology 54
- Environmental Chemistry 36
Countries citing papers authored by Qingfeng Chen
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
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.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 93 | |
| 2 | 2021 | 79 | |
| 3 | DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery Hit paper breakdown → | 2024 | 56 |
| 4 | 2020 | 42 | |
| 5 | 2023 | 33 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 28 | |
| 8 | 2024 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2024 | 19 | |
| 11 | 2016 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Qingfeng Chen
Qingfeng Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Cancer Research and Information Systems, having authored 44 papers that have together received 559 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer-related molecular mechanisms research (5 papers), Adsorption and biosorption for pollutant removal (4 papers), Circular RNAs in diseases (4 papers), Computational Drug Discovery Methods (4 papers), MicroRNA in disease regulation (4 papers), Ferroptosis and cancer prognosis (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Soil Science (88 citations), Cancer Research (110 citations), Industrial and Manufacturing Engineering (57 citations), Water Science and Technology (54 citations) and Environmental Chemistry (36 citations). Qingfeng Chen has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Wei Lan, Yi‐Ping Phoebe Chen, Yi Pan, Jin Liu, Yanpeng Zhang, Wenjun Xie, Hongjun Yang, Lanfang Wu, Yi Dong and Ruiqing Zheng. Their work appears in journals such as Briefings in Bioinformatics, Nature Communications, IEEE Transactions on Biomedical Engineering, CATENA and IEEE Transactions on NanoBioscience.
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.