Huawei Feng

550 total citations
20 papers, 360 citations indexed

About

Huawei Feng is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Huawei Feng has authored 20 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Huawei Feng's work include Cancer-related molecular mechanisms research (4 papers), Aquaculture disease management and microbiota (4 papers) and interferon and immune responses (3 papers). Huawei Feng is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Aquaculture disease management and microbiota (4 papers) and interferon and immune responses (3 papers). Huawei Feng collaborates with scholars based in China, France and Israel. Huawei Feng's co-authors include Hongsheng Liu, Li Zhang, Pengyu Yang, Qi Zhao, Shimeng Li, Jian Zhao, Lili Liu, Miao Liu, Isaiah T. Arkin and Xiuling Lin and has published in prestigious journals such as Scientific Reports, Archives of Biochemistry and Biophysics and Journal of Computational Chemistry.

In The Last Decade

Huawei Feng

18 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Huawei Feng China 7 194 109 104 43 31 20 360
Mohan Rao United States 7 215 1.1× 153 1.4× 38 0.4× 32 0.7× 18 0.6× 13 446
Sheng Yao China 14 283 1.5× 84 0.8× 52 0.5× 23 0.5× 64 2.1× 37 641
Jingxing Wu China 5 219 1.1× 143 1.3× 24 0.2× 66 1.5× 27 0.9× 7 487
Xingjian Chen China 12 264 1.4× 105 1.0× 46 0.4× 56 1.3× 15 0.5× 41 452
Xinyuan Yu China 6 185 1.0× 90 0.8× 35 0.3× 14 0.3× 30 1.0× 25 368
Jihui Zhao China 13 241 1.2× 199 1.8× 23 0.2× 81 1.9× 21 0.7× 30 521
Hui Wen Ng United States 16 289 1.5× 182 1.7× 23 0.2× 31 0.7× 19 0.6× 23 652
Jingbo Yang China 12 167 0.9× 69 0.6× 35 0.3× 29 0.7× 86 2.8× 30 518
Wan Xiang Shen China 8 288 1.5× 87 0.8× 64 0.6× 65 1.5× 6 0.2× 17 411
Tian Ran Zhu United States 9 168 0.9× 133 1.2× 26 0.3× 19 0.4× 19 0.6× 17 373

Countries citing papers authored by Huawei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Feng

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

All Works

20 of 20 papers shown
1.
2.
Feng, Huawei, Wenjuan Fan, Min Liu, et al.. (2025). Cross-species single-nucleus analysis reveals the potential role of whole-genome duplication in the evolution of maize flower development. BMC Genomics. 26(1). 3–3. 3 indexed citations
3.
Wang, Lian-Xin, Jie Wang, Yuying Zhang, et al.. (2024). Construction of highly active and stable recombinant nattokinase by engineered bacteria and computational design. Archives of Biochemistry and Biophysics. 760. 110126–110126. 2 indexed citations
4.
Zhang, Man, et al.. (2024). CBIL-VHPLI: a model for predicting viral-host protein-lncRNA interactions based on machine learning and transfer learning. Scientific Reports. 14(1). 17549–17549. 2 indexed citations
5.
6.
Zhang, Man, Yingyue Zeng, Qingqing Liu, et al.. (2024). The H5N1-NS1 protein affects the host cell cycle and apoptosis through interaction with the host lncRNA PIK3CD-AS2. Virus Genes. 61(1). 38–53. 1 indexed citations
7.
Feng, Huawei, Shan Zhao, Man Zhang, et al.. (2024). Dietary supplementation with emodin affects growth and gut health by modulating the gut microbiota of common carp (Cyprinus carpio). Aquaculture Reports. 35. 101962–101962. 4 indexed citations
8.
Zhang, Man, Yingyue Zeng, Fengchao Wang, et al.. (2023). Effects of the Nonstructural Protein–Nucleolar and Coiled-Body Phosphoprotein 1 Protein Interaction on rRNA Synthesis Through Telomeric Repeat-Binding Factor 2 Regulation Under Nucleolar Stress. AIDS Research and Human Retroviruses. 40(6). 408–416. 1 indexed citations
9.
Zhang, Hui, et al.. (2023). Construction of an oxidative stress-related lncRNAs signature to predict prognosis and the immune response in gastric cancer. Scientific Reports. 13(1). 8822–8822. 3 indexed citations
10.
Feng, Huawei, Shan Zhao, Yuying Zhang, et al.. (2023). Effects of dietary supplementation of gallic tanninc acid on growth, intestinal digestive enzymes activity, innate immunity, morphology, and microbial composition of Cyprinus carpio. Aquaculture International. 32(4). 3815–3833. 5 indexed citations
11.
12.
Lin, Xiuling, et al.. (2022). The influence of graphene oxide content on adsorption of PVA/SA composite gel spheres. Colloid & Polymer Science. 301(2). 93–105. 12 indexed citations
13.
Feng, Huawei, Shuai Liu, Man Zhang, et al.. (2022). The preparation of polyclonal antibody against chlordimeform and establishment of detection by indirect competitive ELISA. Journal of Environmental Science and Health Part B. 57(2). 114–124. 4 indexed citations
14.
Feng, Huawei, Li Zhang, Shimeng Li, et al.. (2021). Predicting the reproductive toxicity of chemicals using ensemble learning methods and molecular fingerprints. Toxicology Letters. 340. 4–14. 39 indexed citations
15.
Li, Shimeng, Li Zhang, Huawei Feng, et al.. (2021). MutagenPred-GCNNs: A Graph Convolutional Neural Network-Based Classification Model for Mutagenicity Prediction with Data-Driven Molecular Fingerprints. Interdisciplinary Sciences Computational Life Sciences. 13(1). 25–33. 25 indexed citations
16.
Zhang, Li, Pengyu Yang, Huawei Feng, Qi Zhao, & Hongsheng Liu. (2021). Using Network Distance Analysis to Predict lncRNA–miRNA Interactions. Interdisciplinary Sciences Computational Life Sciences. 13(3). 535–545. 159 indexed citations
17.
Liu, Lili, Li Zhang, Huawei Feng, et al.. (2021). Prediction of the Blood–Brain Barrier (BBB) Permeability of Chemicals Based on Machine-Learning and Ensemble Methods. Chemical Research in Toxicology. 34(6). 1456–1467. 65 indexed citations
18.
Zhang, Li, Huawei Feng, Shimeng Li, et al.. (2020). Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation. JMIR Medical Informatics. 8(6). e15431–e15431. 14 indexed citations
19.
Feng, Huawei, Li Zhang, Haixin Ai, et al.. (2020). Ocular bacterial signatures of exophthalmic disease in farmed turbot ( Scophthalmus maximus ). Aquaculture Research. 51(6). 2303–2313. 4 indexed citations
20.
Zheng, Fangliang, Yanting Duan, Huawei Feng, et al.. (2012). Interaction of avian influenza virus NS1 protein and nucleolar and coiled-body phosphoprotein 1. Virus Genes. 46(2). 287–292. 16 indexed citations

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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