Danfeng Sun

4.8k citations
86 papers · 3.5k · 1 hit paper · h-index 19

Impact in

Papers in

Danfeng Sun

77 papers receiving 3.4k citations

Danfeng Sun's Hit Papers

Fusobacterium nucleatum Promotes Chemoresistance to Colorectal Cancer by Modulating Autophagy 2017 · 1.7k citations
1.7k0+3+6Years since publication50010001.5k

Peers

Danfeng Sun
Comparison fields: 5 of 151
  • Cancer Research 601
  • Periodontics 117
  • Oncology 689
  • Geriatrics and Gerontology 84
  • Molecular Biology 1.8k
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Danfeng Sun relative to Seiya Imoto Japan Seiya Imoto's profile →
Citations per field
00.5×2×4×6×8.4×
Seiya Imoto · 1×
Citations per year

Countries citing papers authored by Danfeng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Danfeng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danfeng Sun, 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 Danfeng Sun Line = papers co-authored together Danfeng Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fusobacterium nucleatum Promotes Chemoresistance to Colorectal Cancer by Modulating Autophagy
Hit paper breakdown →
20171652
2 2016325
3 1993199
4 2019150
5 2018135
6 2017126
7 2009110
8 202081
9 199773
10 200949
11 200938
12 201534
13 201833
14 202431
15 200830
16 201824
17 202323
18 201922
19 201319
20 202117

About Danfeng Sun

Danfeng Sun is a scholar working on Artificial Intelligence, Molecular Biology, Control and Systems Engineering, Computer Networks and Communications and Signal Processing, having authored 86 papers that have together received 3.5k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (9 papers), IoT and Edge/Fog Computing (7 papers), Neural Networks and Applications (7 papers), Anomaly Detection Techniques and Applications (5 papers), Digital Transformation in Industry (5 papers), Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (601 citations), Periodontics (117 citations), Oncology (689 citations), Geriatrics and Gerontology (84 citations) and Molecular Biology (1.8k citations). Danfeng Sun has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Jing‐Yuan Fang, Yingxuan Chen, Jie Hong, Haoyan Chen, Weiping Zou, Yun Qian, Tiantian Sun, Ilona Kryczek, Nisha Nagarsheth and Fangfang Guo. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Cell Biology International, Neural Computing and Applications, Complexity and IEEE Internet of Things Journal.

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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