Fengfeng Zhou

6.0k citations
169 papers · 3.5k · h-index 32

Impact in

    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Ubiquitin and proteasome pathways

Papers in

    • Gene expression and cancer classification 27
    • Machine Learning in Bioinformatics 27
    • Bioinformatics and Genomic Networks 18
    • Genomics and Phylogenetic Studies 15
    • RNA and protein synthesis mechanisms 15
    • RNA modifications and cancer 7
    • Cancer-related molecular mechanisms research 13

Fengfeng Zhou

164 papers receiving 3.4k citations

Peers

Fengfeng Zhou
Comparison fields: 5 of 167
  • Molecular Biology 1.7k
  • Health Information Management 90
  • Health Informatics 24
  • Radiology, Nuclear Medicine and Imaging 296
  • Cancer Research 178
Replace James C. Costello with:
James C. Costello United States
Luciano Milanesi Italy
Tao Huang China
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Pingzhao Hu Canada
Ran Su China
Gaurav Pandey United States
Wayne Wenzhong Xu United States
Yuhang Zhang China
Nguyen Quoc Khanh Le Taiwan
Fengfeng Zhou relative to James C. Costello United States James C. Costello's profile →
Citations per field
00.5×3.7×
James C. Costello · 1×
Citations per year

Countries citing papers authored by Fengfeng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fengfeng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005219
2 2006170
3 2004133
4 2006119
5 2016113
6 2013108
7 2014104
8 2013100
9 201694
10 202088
11 201185
12 201076
13
GoPipe: Streamlined Gene Ontology annotation for batch anonymous sequences with statistics
200573
14 201972
15 200869
16 202168
17 200966
18 202056
19 202054
20 201850

About Fengfeng Zhou

Fengfeng Zhou is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering, having authored 169 papers that have together received 3.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (27 papers), Machine Learning in Bioinformatics (27 papers), Bioinformatics and Genomic Networks (18 papers), Genomics and Phylogenetic Studies (15 papers), RNA and protein synthesis mechanisms (15 papers), Cancer-related molecular mechanisms research (13 papers), Computational Drug Discovery Methods (13 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Health Information Management (90 citations), Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (296 citations) and Cancer Research (178 citations). Fengfeng Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying Xu, Yu Xue, Xuebiao Yao, Lan Huang, Victor Olman, Meiyu Duan, Youxi Luo, Guoqing Wang, Guoqin Mai and Guowei Chen. Their work appears in journals such as Computers in Biology and Medicine, Bioinformatics, IEEE Access, Scientific Reports and Briefings in Bioinformatics.

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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