Yahong Guo

932 total citations
13 papers, 679 citations indexed

About

Yahong Guo is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yahong Guo has authored 13 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yahong Guo's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Yahong Guo is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Yahong Guo collaborates with scholars based in China and United States. Yahong Guo's co-authors include Ping Xuan, Jin Li, Jian Ding, Ke Han, Yong Liu, Zhixia Teng, Maozu Guo, Yufei Huang, Qiguo Dai and Jinbao Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Yahong Guo

12 papers receiving 675 citations

Peers

Yahong Guo

MB

CR

CN

ECP

CVPR

Liying Yang China

Arthur Tenenhaus France

Siyuan Shen China

Tie Chen China

Kefei Liu United States

Mengli Wang China

Ping Luo Canada

Chen Jin China

Sadia Ashraf United States

Liying Yang China

Yahong Guo

198 ×0.4

MB

100 ×0.2

CR

42 ×0.7

CN

19 ×0.5

ECP

20 ×0.6

CVPR

Citations per year, relative to Yahong Guo Yahong Guo (= 1×) peers Liying Yang

Countries citing papers authored by Yahong Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yahong Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yahong Guo

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

All Works

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13 of 13 papers shown

1.

Guo, Yahong, et al.. (2024). Separate first, then segment: An integrity segmentation network for salient object detection. Pattern Recognition. 150. 110328–110328. 10 indexed citations

2.

Zhang, Likun, et al.. (2024). A multi-level collaborative self-distillation learning for improving adaptive inference efficiency. Complex & Intelligent Systems. 10(6). 8043–8061.

3.

Li, Jinbao, et al.. (2023). Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG. Biomedical Signal Processing and Control. 88. 105615–105615. 15 indexed citations

4.

Li, Jinbao, et al.. (2023). BTCRSleep: a boundary temporal context refinement-based fully convolutional network for sleep staging with single-channel EEG. Physiological Measurement. 44(7). 75004–75004. 3 indexed citations

5.

Li, Jinbao, et al.. (2023). PriorNet: Two Deep Prior Cues for Salient Object Detection. IEEE Transactions on Multimedia. 26. 5523–5535. 7 indexed citations

6.

Li, Jinbao, et al.. (2022). SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG. Computer Methods and Programs in Biomedicine. 220. 106806–106806. 45 indexed citations

7.

Li, Jinbao, et al.. (2021). Supplement and Suppression: Both Boundary and Nonboundary Are Helpful for Salient Object Detection. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6615–6627. 13 indexed citations

8.

Xuan, Ping, Nan Sheng, Tiangang Zhang, Yong Liu, & Yahong Guo. (2019). CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA–Disease Associations. International Journal of Molecular Sciences. 20(17). 4260–4260. 29 indexed citations

9.

Xuan, Ping, et al.. (2018). Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs. International Journal of Molecular Sciences. 19(12). 3732–3732. 33 indexed citations

10.

Xuan, Ping, Ke Han, Yahong Guo, et al.. (2015). Prediction of potential disease-associated microRNAs based on random walk. Bioinformatics. 31(11). 1805–1815. 171 indexed citations

11.

Xuan, Ping, Ke Han, Maozu Guo, et al.. (2013). Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors. PLoS ONE. 8(8). e70204–e70204. 279 indexed citations

12.

Xuan, Ping, Ke Han, Maozu Guo, et al.. (2013). Correction: Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors. PLoS ONE. 8(8). 73 indexed citations

13.

Guan, Xin, et al.. (2012). A location-aware parallel MAC protocol for Multihop Wireless Networks. 636–639. 1 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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