Baoqing Guo

1.1k total citations
55 papers, 819 citations indexed

About

Baoqing Guo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Baoqing Guo has authored 55 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Baoqing Guo's work include Advanced Neural Network Applications (8 papers), Molecular Biology Techniques and Applications (5 papers) and Advanced Measurement and Detection Methods (4 papers). Baoqing Guo is often cited by papers focused on Advanced Neural Network Applications (8 papers), Molecular Biology Techniques and Applications (5 papers) and Advanced Measurement and Detection Methods (4 papers). Baoqing Guo collaborates with scholars based in China, Canada and United States. Baoqing Guo's co-authors include Amadeo M. Parissenti, Liqiang Zhu, Jun Lin, Jason A. Sprowl, Zujun Yu, Marie-Christine Maurel, Sophie Payot, Cédric Cagliero, David A. MacLean and Stacey A. Santi and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Baoqing Guo

44 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoqing Guo China 16 273 141 127 116 98 55 819
Ali Najafi Iran 23 836 3.1× 100 0.7× 83 0.7× 127 1.1× 24 0.2× 115 1.6k
Yanxin Huang China 24 882 3.2× 165 1.2× 116 0.9× 47 0.4× 60 0.6× 108 1.8k
Jungyeon Kim South Korea 23 725 2.7× 169 1.2× 110 0.9× 21 0.2× 51 0.5× 72 1.4k
Chan‐Il Park South Korea 23 652 2.4× 41 0.3× 165 1.3× 42 0.4× 64 0.7× 179 1.9k
Xiaonan Zhao China 23 413 1.5× 288 2.0× 72 0.6× 138 1.2× 14 0.1× 74 1.4k
Hongbin Zhu China 18 473 1.7× 45 0.3× 174 1.4× 29 0.3× 15 0.2× 75 1.1k
Yi Xie China 24 452 1.7× 55 0.4× 32 0.3× 37 0.3× 35 0.4× 64 1.5k
Seulki Park South Korea 19 348 1.3× 126 0.9× 59 0.5× 17 0.1× 20 0.2× 95 1.1k
Kai Jia China 15 188 0.7× 83 0.6× 73 0.6× 27 0.2× 13 0.1× 52 628
Yue Yin China 21 723 2.6× 55 0.4× 60 0.5× 213 1.8× 89 0.9× 97 1.5k

Countries citing papers authored by Baoqing Guo

Since Specialization
Citations

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

Fields of papers citing papers by Baoqing Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoqing Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Baoqing Guo. A scholar is included among the top collaborators of Baoqing 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 Baoqing Guo. Baoqing 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, Baoqing, et al.. (2025). RailFDNet: A hybrid supervision and feature discrepancy enhancement model for railway anomalous object detection. Expert Systems with Applications. 275. 127005–127005. 1 indexed citations
2.
Liu, Zhen, et al.. (2025). Tunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network. Journal of Computing in Civil Engineering. 40(1).
3.
Guo, Baoqing, et al.. (2024). RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment. Engineering Applications of Artificial Intelligence. 138. 109295–109295. 4 indexed citations
4.
Tong, Lei, et al.. (2024). Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
5.
6.
Qin, Yong, et al.. (2024). A Continuous Autonomous Train Positioning Method Using Stereo Vision and Object Tracking. IEEE Intelligent Transportation Systems Magazine. 17(2). 6–22.
7.
Zhou, Shijie, et al.. (2024). AdapSyn: Anomaly detection based on triplet training with adaptive anomaly synthesis. Displays. 86. 102885–102885. 1 indexed citations
8.
Yu, Zujun, et al.. (2023). Robust IR–VIS image registration with different FOVs in railway intrusion detection. Measurement. 225. 113928–113928. 5 indexed citations
9.
Lannér, Carita, et al.. (2023). RNA disruption is a widespread phenomenon associated with stress-induced cell death in tumour cells. Scientific Reports. 13(1). 1711–1711. 6 indexed citations
10.
Guo, Baoqing, et al.. (2020). The RNA disruption assay is superior to conventional drug sensitivity assays in detecting cytotoxic drugs. Scientific Reports. 10(1). 8671–8671. 3 indexed citations
11.
Guo, Baoqing, et al.. (2018). Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views. Journal of Advanced Transportation. 2018. 1–16. 7 indexed citations
12.
Zhang, Yanjie, Yanxi Pei, Ming Fu, et al.. (2018). Efflux inhibition by H2S confers sensitivity to doxorubicin-induced cell death in liver cancer cells. Life Sciences. 213. 116–125. 20 indexed citations
13.
Guo, Baoqing, et al.. (2016). Role of autophagy and lysosomal drug sequestration in acquired resistance to doxorubicin in MCF-7 cells. BMC Cancer. 16(1). 762–762. 68 indexed citations
14.
Guo, Baoqing, et al.. (2016). RNA disruption is associated with response to multiple classes of chemotherapy drugs in tumor cell lines. BMC Cancer. 16(1). 146–146. 9 indexed citations
15.
Trudeau, Maureen, Judith‐Anne W. Chapman, Baoqing Guo, et al.. (2015). A phase I/II trial of epirubicin and docetaxel in locally advanced breast cancer (LABC) on 2-weekly or 3-weekly schedules: NCIC CTG MA.22. SpringerPlus. 4(1). 631–631. 7 indexed citations
16.
Trudeau, Maureen, Laura B. Pritzker, Amadeo M. Parissenti, et al.. (2012). 15P A Novel RNA Test to Guide Primary Systemic Breast Cancer Chemotherapy. Annals of Oncology. 23. ii19–ii19.
17.
18.
Faaberg, Kay S., Marcus E. Kehrli, Kelly M. Lager, Baoqing Guo, & Jun Han. (2010). In vivo growth of porcine reproductive and respiratory syndrome virus engineered nsp2 deletion mutants. Virus Research. 154(1-2). 77–85. 39 indexed citations
19.
Guo, Baoqing. (2006). Redundant Design of Auto-Passing Phase Separations for Electric Locomotive. Journal of Beijing Jiaotong University. 2 indexed citations
20.
Qiu, Hua‐Ji, Baoqing Guo, Guangzhi Tong, Wenxing Liu, & Yu Li. (1998). Genotyping of porcine reproductive and respiratory syndrome virus strain CH-1a isolated in China by RT-PCR and indirect immunofluorescence test. Zhongguo shouyi xuebao. 18(2). 118–121. 3 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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