Jiahui Guan

1.5k total citations
21 papers, 503 citations indexed

About

Jiahui Guan is a scholar working on Molecular Biology, Microbiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiahui Guan has authored 21 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Microbiology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiahui Guan's work include Machine Learning in Bioinformatics (7 papers), Antimicrobial Peptides and Activities (7 papers) and vaccines and immunoinformatics approaches (5 papers). Jiahui Guan is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Antimicrobial Peptides and Activities (7 papers) and vaccines and immunoinformatics approaches (5 papers). Jiahui Guan collaborates with scholars based in China, Taiwan and United States. Jiahui Guan's co-authors include Jinyi Qi, Kuang Gong, Chih‐Chieh Liu, Georges El Fakhri, Kyungsang Kim, Jaewon Yang, Youngho Seo, Quanzheng Li, Xuezhu Zhang and Lantian Yao and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Jiahui Guan

19 papers receiving 499 citations

Peers

Jiahui Guan

RNMI

CVPR

RADIA

Brandon Y. Feng United States

Yiyin Jin United States

Seungseok Oh United States

Xiaohua Wan China

Muriel Roche France

Chuangqi Wang United States

Nicholas Devaney Ireland

Erik Franken Netherlands

Niyun Zhou China

Matthew T. Rinehart United States

Brandon Y. Feng United States

Jiahui Guan

51 ×0.2

RNMI

25 ×0.2

157 ×1.5

73 ×0.8

CVPR

23 ×0.3

RADIA

Citations per year, relative to Jiahui Guan Jiahui Guan (= 1×) peers Brandon Y. Feng

Countries citing papers authored by Jiahui Guan

Since Specialization

Citations

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

Fields of papers citing papers by Jiahui Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahui Guan

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

All Works

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20 of 20 papers shown

Guan, Jiahui, et al.. (2025). Network pharmacology analysis and biological validation of molecular targets regulated by glaucocalyxin a in periodontitis. Biochemical and Biophysical Research Communications. 781. 152539–152539.

Yao, Lantian, et al.. (2025). ConsAMPHemo: A computational framework for predicting hemolysis of antimicrobial peptides based on machine learning approaches. Protein Science. 34(7). e70087–e70087. 1 indexed citations

Yao, Lantian, Feng Wang, Jiahui Guan, et al.. (2025). StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides. Journal of Chemical Information and Modeling. 65(14). 7777–7788.

Yao, Lantian, Jiahui Guan, Chia‐Ru Chung, et al.. (2024). ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network. Briefings in Bioinformatics. 25(5). 10 indexed citations

Yao, Lantian, et al.. (2024). AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest. Protein Science. 33(6). e5006–e5006. 17 indexed citations

Guan, Jiahui, et al.. (2024). A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy. Briefings in Bioinformatics. 25(3). 21 indexed citations

Yao, Lantian, Jiahui Guan, Wenshuo Li, et al.. (2024). Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation. Analytical Chemistry. 96(4). 1538–1546. 6 indexed citations

Guan, Jiahui, Lantian Yao, Chia‐Ru Chung, Ying‐Chih Chiang, & Tzong-Yi Lee. (2023). StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture. International Journal of Molecular Sciences. 24(12). 10348–10348. 12 indexed citations

Yao, Lantian, Wenshuo Li, Chia‐Ru Chung, et al.. (2023). DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning. Protein Science. 32(10). e4758–e4758. 24 indexed citations

10.

Yao, Lantian, Yuxuan Pang, Chia‐Ru Chung, et al.. (2023). ABPCaps: A Novel Capsule Network-Based Method for the Prediction of Antibacterial Peptides. Applied Sciences. 13(12). 6965–6965. 8 indexed citations

11.

Guan, Jiahui, et al.. (2023). Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning. Journal of Chemical Information and Modeling. 63(24). 7886–7898. 18 indexed citations

12.

Moore, A. R., Jiahui Guan, Joseph E. Levitt, et al.. (2021). Effect of Simvastatin on Mortality in ARDS Patients with Low Cholesterol: A Secondary Analysis of the HARP-2 Trial. A2697–A2697. 1 indexed citations

13.

Caporarello, Nunzia, Tho X. Pham, Jeffrey Lee, et al.. (2021). Dysfunctional ERG Signaling Drives Pulmonary Vascular Aging and Progressive Fibrosis. A1142–A1142. 1 indexed citations

14.

Moore, A. R., Jiahui Guan, Joseph E. Levitt, et al.. (2020). Effect of Rosuvastatin on Mortality in ARDS Patients with Low Cholesterol: A Secondary Analysis of the SAILS Study. A1136–A1136. 1 indexed citations

15.

Guan, Jiahui, Fushing Hsieh, & Patrice Koehl. (2019). DCG++: A data-driven metric for geometric pattern recognition. PLoS ONE. 14(6). e0217838–e0217838. 2 indexed citations

16.

Gong, Kuang, Jiahui Guan, Kyungsang Kim, et al.. (2018). Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Transactions on Medical Imaging. 38(3). 675–685. 174 indexed citations

17.

Balasubramaniam, Krishna N., Brianne A. Beisner, Jiahui Guan, et al.. (2018). Social network community structure and the contact-mediated sharing of commensal E. coli among captive rhesus macaques ( Macaca mulatta ). PeerJ. 6. e4271–e4271. 17 indexed citations

18.

Gong, Kuang, Jiahui Guan, Chih‐Chieh Liu, & Jinyi Qi. (2018). PET Image Denoising Using a Deep Neural Network Through Fine Tuning. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(2). 153–161. 167 indexed citations

19.

Guan, Jiahui & Fushing Hsieh. (2018). Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness. Frontiers in Applied Mathematics and Statistics. 4. 5 indexed citations

20.

Gong, Kuang, Jiahui Guan, Chih‐Chieh Liu, & Jinyi Qi. (2017). PET Image Denoising Using Deep Neural Network. 1–2. 5 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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