Guihua Duan

1.9k total citations · 1 hit paper
67 papers, 1.2k citations indexed

About

Guihua Duan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Guihua Duan has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 8 papers in Cancer Research. Recurrent topics in Guihua Duan's work include Computational Drug Discovery Methods (17 papers), Machine Learning in Bioinformatics (15 papers) and Bioinformatics and Genomic Networks (10 papers). Guihua Duan is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Machine Learning in Bioinformatics (15 papers) and Bioinformatics and Genomic Networks (10 papers). Guihua Duan collaborates with scholars based in China, United States and Canada. Guihua Duan's co-authors include Jianxin Wang, Chunqin Li, Jing Yang, Guangyu Han, Changmi Wang, Lin Liu, Yaling Zhang, Cheng Yan, Fang‐Xiang Wu and Yi Pan and has published in prestigious journals such as Bioinformatics, The Journal of Physical Chemistry C and IEEE Access.

In The Last Decade

Guihua Duan

61 papers receiving 1.2k citations

Hit Papers

The Crosstalks Between Ja... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guihua Duan China 16 560 479 235 99 93 67 1.2k
Md. Altaf‐Ul‐Amin Japan 17 1.5k 2.6× 310 0.6× 377 1.6× 49 0.5× 27 0.3× 77 2.1k
Juncai Li China 16 513 0.9× 373 0.8× 78 0.3× 13 0.1× 49 0.5× 34 1.5k
Ruifang Liu China 20 270 0.5× 708 1.5× 202 0.9× 57 0.6× 11 0.1× 147 1.8k
Naoaki Ono Japan 20 769 1.4× 127 0.3× 150 0.6× 23 0.2× 22 0.2× 116 1.4k
Marie-France Sagot France 18 1.0k 1.9× 209 0.4× 97 0.4× 39 0.4× 51 0.5× 57 1.4k
Guojun Li China 19 849 1.5× 140 0.3× 212 0.9× 8 0.1× 26 0.3× 93 1.4k
Baoping Liu China 17 161 0.3× 142 0.3× 36 0.2× 34 0.3× 34 0.4× 56 799
Johannes Geiselmann France 31 2.4k 4.2× 143 0.3× 127 0.5× 41 0.4× 23 0.2× 63 3.0k
Yuehua Yu China 20 327 0.6× 366 0.8× 72 0.3× 110 1.1× 7 0.1× 51 1.1k
Huijun Gao China 32 636 1.1× 1.2k 2.5× 146 0.6× 146 1.5× 71 0.8× 66 3.3k

Countries citing papers authored by Guihua Duan

Since Specialization
Citations

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

Fields of papers citing papers by Guihua Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihua Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Guihua Duan. A scholar is included among the top collaborators of Guihua Duan 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 Guihua Duan. Guihua Duan 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.
Zhao, Qichang, et al.. (2025). MolFCL: predicting molecular properties through chemistry-guided contrastive and prompt learning. Bioinformatics. 41(2). 2 indexed citations
2.
Yang, Mengyun, Bin Yang, Jiajun Chen, Xiwei Tang, & Guihua Duan. (2025). A Novel Drug–Disease Association Prediction Method Based on Deep Non-Negative Matrix Factorization with Local Graph Feature. Interdisciplinary Sciences Computational Life Sciences. 17(3). 598–613.
4.
Zheng, Kai, Guihua Duan, Qichang Zhao, et al.. (2024). DLP: Duplex Link Prediction Via Subspace Segmentation for Predicting drug-MiRNA Associations. PubMed. PP. 1–9. 2 indexed citations
5.
Zeng, Min, et al.. (2024). Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools. Future Generation Computer Systems. 160. 724–738. 5 indexed citations
6.
Zhang, Zhiwei, Wei Cai, Yihui Feng, et al.. (2023). Dislocation reactions dominated pop-in events in nanoindentation of Ni-based single crystal superalloys. Materials Characterization. 200. 112883–112883. 13 indexed citations
7.
Zhao, Qichang, Guihua Duan, Mengyun Yang, et al.. (2022). AttentionDTA: Drug–Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 852–863. 55 indexed citations
8.
Duan, Guihua, et al.. (2022). DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction. Journal of Chemical Information and Modeling. 62(22). 5830–5840. 7 indexed citations
9.
Yang, Mengyun, et al.. (2022). Drug repositioning based on multi-view learning with matrix completion. Briefings in Bioinformatics. 23(3). 21 indexed citations
10.
Duan, Guihua, et al.. (2021). MoSDT1 triggers defense response through modulating phosphorylated proteins in rice. Plant Molecular Biology. 108(1-2). 15–30. 2 indexed citations
11.
Duan, Guihua, et al.. (2021). Magnaporthe oryzae systemic defense trigger 1 (MoSDT1)-mediated metabolites regulate defense response in Rice. BMC Plant Biology. 21(1). 40–40. 14 indexed citations
12.
Gao, Feng, et al.. (2019). An Optimization Deployment Scheme for Static Charging Piles Based on Dynamic of Shared E-Bikes. IEEE Conference Proceedings. 2019. 343–347. 1 indexed citations
13.
Sheng, Jinfang, Bin Wang, Guihua Duan, et al.. (2019). Identifying influential nodes in complex networks based on global and local structure. Physica A Statistical Mechanics and its Applications. 541. 123262–123262. 72 indexed citations
14.
Yan, Cheng, Guihua Duan, Yi Pan, Fang‐Xiang Wu, & Jianxin Wang. (2019). DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels. BMC Bioinformatics. 20(S15). 538–538. 26 indexed citations
15.
Duan, Guihua, et al.. (2019). A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networks. Methods. 173. 75–82. 10 indexed citations
16.
Yan, Cheng, Guihua Duan, Fang‐Xiang Wu, Yi Pan, & Jianxin Wang. (2019). MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(2). 611–620. 24 indexed citations
17.
Duan, Guihua, et al.. (2018). Scheduling Algorithm for Area Coverage Problem in Directional Sensor Networks. 8. 356–363. 1 indexed citations
18.
Zhong, Ping, et al.. (2017). Joint Mobile Data Collection and Wireless Energy Transfer in Wireless Rechargeable Sensor Networks. Sensors. 17(8). 1881–1881. 31 indexed citations
19.
Liu, Binbin, et al.. (2012). An algorithm for identifying protein complexes based on clique percolation and distance restriction. Systems Engineering - Theory & Practice. 32(2). 389–397. 1 indexed citations
20.
Guo, Kehua & Guihua Duan. (2012). 3D image retrieval based on differential geometry and co-occurrence matrix. Neural Computing and Applications. 24(3-4). 715–721. 6 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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