Huancheng Guo

1.1k total citations
41 papers, 740 citations indexed

About

Huancheng Guo is a scholar working on Agronomy and Crop Science, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Huancheng Guo has authored 41 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Agronomy and Crop Science, 12 papers in Infectious Diseases and 12 papers in Animal Science and Zoology. Recurrent topics in Huancheng Guo's work include Animal Disease Management and Epidemiology (18 papers), Animal Virus Infections Studies (12 papers) and Viral Infections and Immunology Research (9 papers). Huancheng Guo is often cited by papers focused on Animal Disease Management and Epidemiology (18 papers), Animal Virus Infections Studies (12 papers) and Viral Infections and Immunology Research (9 papers). Huancheng Guo collaborates with scholars based in China, United States and Russia. Huancheng Guo's co-authors include Changchun Tu, Zixue Shi, Biao He, Fanli Yang, Ye Feng, Fuqiang Zhang, Quanshui Fan, Wenjie Gong, Yingying Li and Zuosheng Li and has published in prestigious journals such as PLoS ONE, Journal of Virology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Huancheng Guo

37 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huancheng Guo China 16 342 247 206 177 128 41 740
Louise Hilton Australia 6 269 0.8× 171 0.7× 184 0.9× 113 0.6× 115 0.9× 7 682
Chi-Young Wang Taiwan 16 206 0.6× 190 0.8× 79 0.4× 271 1.5× 89 0.7× 59 803
Omar Farnós Canada 16 277 0.8× 136 0.6× 122 0.6× 156 0.9× 67 0.5× 43 608
Rong-Hong Hua China 18 450 1.3× 107 0.4× 224 1.1× 157 0.9× 72 0.6× 49 817
In-Joong Kim United States 10 274 0.8× 198 0.8× 152 0.7× 41 0.2× 83 0.6× 22 520
Decheng Yang China 16 172 0.5× 108 0.4× 284 1.4× 231 1.3× 357 2.8× 37 685
Miriam Pedrera Spain 19 288 0.8× 196 0.8× 419 2.0× 100 0.6× 68 0.5× 51 796
Meredith Stewart United Kingdom 15 464 1.4× 170 0.7× 268 1.3× 153 0.9× 42 0.3× 25 798
Wenliang Li China 18 243 0.7× 150 0.6× 217 1.1× 137 0.8× 99 0.8× 54 625
Kevin P. Dalton Spain 22 862 2.5× 642 2.6× 167 0.8× 162 0.9× 98 0.8× 60 1.4k

Countries citing papers authored by Huancheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Huancheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huancheng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Huancheng Guo. A scholar is included among the top collaborators of Huancheng Guo 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 Huancheng Guo. Huancheng Guo 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.
Guo, Huancheng, et al.. (2024). Analysis of sea surface velocity vector inversion error based on multi-static ATI-SAR. IET conference proceedings.. 2023(47). 3297–3302.
2.
Guo, Huancheng, et al.. (2024). Wide-Swath Ocean Current Measurement Based on MIMO Along-Track Interferometry SAR. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 2 indexed citations
3.
Yang, Zhining, Zhaoyong Liu, Weiqing Lu, et al.. (2023). LncRNA WAC-AS1 promotes osteosarcoma Metastasis and stemness by sponging miR-5047 to upregulate SOX2. Biology Direct. 18(1). 74–74. 9 indexed citations
4.
Li, Zhenfang, et al.. (2023). Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion. Remote Sensing. 15(21). 5224–5224. 1 indexed citations
5.
Lu, Zheng, et al.. (2021). Fast Geolocation Solution and Accuracy Analysis for Bistatic InSAR Configuration of Geostationary Transmitter With LEO Receivers. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations
6.
Xu, Lin, Jianmin Wu, Qi Li, et al.. (2019). Seroprevalence, cross antigenicity and circulation sphere of bat-borne hantaviruses revealed by serological and antigenic analyses. PLoS Pathogens. 15(1). e1007545–e1007545. 13 indexed citations
7.
Feng, Ye, Muyang Wang, Huancheng Guo, et al.. (2018). Evaluation of monoclonal antibody–based direct, rapid immunohistochemical test for rabies diagnosis. Journal of Virological Methods. 256. 12–16. 4 indexed citations
8.
Liu, Xiaofeng, Xiaoyu Wang, Qian Wang, et al.. (2017). The eukaryotic translation initiation factor 3 subunit E binds to classical swine fever virus NS5A and facilitates viral replication. Virology. 515. 11–20. 13 indexed citations
9.
Li, Meng, Xu Zhang, Lingwei Zhu, et al.. (2017). Identification, Isolation, and Phylogenetic Analysis of Clostridium perfringens Type A and Type C from Wild Boar (Sus scrofa) in the People's Republic of China. Journal of Wildlife Diseases. 53(3). 642–642. 5 indexed citations
10.
Gong, Wenjie, Shijiang Mi, Li Zhang, et al.. (2017). Serum Metabolomic Profiling of Piglets Infected with Virulent Classical Swine Fever Virus. Frontiers in Microbiology. 8. 731–731. 32 indexed citations
11.
Feng, Ye, Yanyan Shi, Wenjie Gong, et al.. (2016). Livestock rabies outbreaks in Shanxi province, China. Archives of Virology. 161(10). 2851–2854. 15 indexed citations
12.
Gong, Wenjie, Jianmin Wu, Zongji Lu, et al.. (2016). Genetic diversity of subgenotype 2.1 isolates of classical swine fever virus. Infection Genetics and Evolution. 41. 218–226. 43 indexed citations
13.
Gong, Wenjie, Li Zhang, Zongji Lu, et al.. (2016). Complete genome sequence of a novel sub-subgenotype 2.1g isolate of classical swine fever virus from China. Archives of Virology. 161(9). 2613–2617. 5 indexed citations
14.
Qian, Shasha, et al.. (2015). [Establishment of a One-Step Real-Time RT-PCR Method for the Detection of Venezuelan Equine Encephalitis Virus].. PubMed. 31(2). 107–13. 1 indexed citations
15.
He, Biao, Yuzhen Zhang, Lin Xu, et al.. (2014). Identification of Diverse Alphacoronaviruses and Genomic Characterization of a Novel Severe Acute Respiratory Syndrome-Like Coronavirus from Bats in China. Journal of Virology. 88(12). 7070–7082. 100 indexed citations
16.
Shi, Zixue, et al.. (2013). Down-regulation of cellular protein heme oxygenase 1 inhibits proliferation of classical swine fever virus in PK-15 cells. Virus Research. 173(2). 315–320. 12 indexed citations
17.
He, Biao, Zuosheng Li, Fanli Yang, et al.. (2013). Virome Profiling of Bats from Myanmar by Metagenomic Analysis of Tissue Samples Reveals More Novel Mammalian Viruses. PLoS ONE. 8(4). e61950–e61950. 111 indexed citations
18.
Qu, Hui, Jianwei Hao, Huancheng Guo, et al.. (2010). Proteomic analysis of primary porcine endothelial cells after infection by classical swine fever virus. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(9). 1882–1888. 16 indexed citations
19.
Guo, Huancheng, et al.. (2008). In vitro inhibition of classical swine fever virus replication by siRNAs targeting Npro and NS5B genes. Antiviral Research. 78(3). 188–193. 26 indexed citations
20.
Guo, Huancheng, et al.. (1992). Land restoration in China. Chinese Geographical Science. 2(1). 10–17. 19 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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