Lun Hu

3.9k total citations
105 papers, 2.4k citations indexed

About

Lun Hu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Lun Hu has authored 105 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 36 papers in Computational Theory and Mathematics and 20 papers in Artificial Intelligence. Recurrent topics in Lun Hu's work include Bioinformatics and Genomic Networks (41 papers), Computational Drug Discovery Methods (36 papers) and Machine Learning in Bioinformatics (26 papers). Lun Hu is often cited by papers focused on Bioinformatics and Genomic Networks (41 papers), Computational Drug Discovery Methods (36 papers) and Machine Learning in Bioinformatics (26 papers). Lun Hu collaborates with scholars based in China, Hong Kong and United States. Lun Hu's co-authors include Pengwei Hu, Zhu‐Hong You, Xiaorui Su, Bo-Wei Zhao, Xin Luo, Keith C. C. Chan, Yu‐An Huang, Yue Yang, Xiangyu Pan and MengChu Zhou and has published in prestigious journals such as Bioinformatics, Scientific Reports and Genome biology.

In The Last Decade

Lun Hu

97 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lun Hu China 29 1.4k 863 550 210 206 105 2.4k
Hiroshi Mamitsuka Japan 35 2.7k 1.9× 1.0k 1.2× 1.1k 2.1× 170 0.8× 391 1.9× 180 4.3k
Ali Masoudi‐Nejad Iran 34 2.4k 1.7× 961 1.1× 330 0.6× 213 1.0× 104 0.5× 165 3.7k
Mehmet Koyutürk United States 30 1.7k 1.2× 412 0.5× 307 0.6× 131 0.6× 135 0.7× 122 2.7k
Yaohang Li United States 34 2.4k 1.7× 1.5k 1.7× 534 1.0× 78 0.4× 162 0.8× 144 3.8k
Lin Gao China 33 2.1k 1.5× 499 0.6× 389 0.7× 418 2.0× 148 0.7× 154 3.2k
Shaoliang Peng China 28 1.5k 1.1× 374 0.4× 441 0.8× 57 0.3× 145 0.7× 190 3.1k
Ling‐Yun Wu China 29 2.4k 1.7× 471 0.5× 252 0.5× 112 0.5× 619 3.0× 94 3.6k
Minghua Deng China 28 1.9k 1.3× 378 0.4× 397 0.7× 68 0.3× 260 1.3× 88 2.5k
Maozu Guo China 29 2.1k 1.5× 593 0.7× 826 1.5× 75 0.4× 285 1.4× 214 3.7k
Tingyang Xu China 24 567 0.4× 621 0.7× 1.2k 2.3× 378 1.8× 436 2.1× 55 2.5k

Countries citing papers authored by Lun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Lun Hu. A scholar is included among the top collaborators of Lun Hu 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 Lun Hu. Lun Hu 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.
Zhou, Xi, Yujie Qi, Xiaobo Zhu, et al.. (2025). Leveraging 3D Molecular Spatial Visual Information and Multi‐Perspective Representations for Drug Discovery. Advanced Science. 13(2). e12453–e12453.
2.
Li, Guodong, Yue Yang, Dongxu Li, et al.. (2025). A bijective inference network for interpretable identification of RNA N 6 -methyladenosine modification sites. Pattern Recognition. 164. 111541–111541. 2 indexed citations
3.
Yang, Yue, Lun Hu, Guodong Li, et al.. (2025). Link-Based Attributed Graph Clustering via Approximate Generative Bayesian Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 55(8). 5730–5743. 14 indexed citations
4.
Li, Dongxu, et al.. (2025). DeepHIV: A Sequence-Based Deep Learning Model for Predicting HIV-1 Protease Cleavage Sites. PubMed. 22(6). 3557–3563. 2 indexed citations
5.
Zhao, Bo-Wei, Xiaorui Su, Dongxu Li, et al.. (2024). Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Information Sciences. 686. 121360–121360. 46 indexed citations
6.
Hu, Lun, et al.. (2024). Dual-channel hypergraph convolutional network for predicting herb–disease associations. Briefings in Bioinformatics. 25(2). 17 indexed citations
7.
Cao, Xiyue, Yu‐An Huang, Zhu‐Hong You, et al.. (2024). scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data. Genome biology. 25(1). 207–207. 18 indexed citations
8.
Zhao, Bo-Wei, Xiaorui Su, Yue Yang, et al.. (2024). Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE Journal of Biomedical and Health Informatics. 28(7). 4281–4294. 22 indexed citations
9.
Li, Guodong, Bo-Wei Zhao, Xiaorui Su, et al.. (2024). Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. IEEE Journal of Biomedical and Health Informatics. 28(4). 2362–2372. 39 indexed citations
10.
Zhao, Bo-Wei, Xiaorui Su, Yue Yang, et al.. (2024). A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions. Computational and Structural Biotechnology Journal. 23. 2924–2933. 28 indexed citations
11.
Li, Guodong, Bo-Wei Zhao, Xiaorui Su, et al.. (2024). Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification. IEEE/CAA Journal of Automatica Sinica. 11(10). 2123–2134. 1 indexed citations
12.
Yang, Yue, et al.. (2024). Integrating Fuzzy Clustering and Graph Convolution Network to Accurately Identify Clusters From Attributed Graph. IEEE Transactions on Network Science and Engineering. 12(2). 1112–1125. 34 indexed citations
13.
Wang, Sile, Xiaorui Su, Bo-Wei Zhao, et al.. (2023). An Improved Graph Isomorphism Network for Accurate Prediction of Drug–Drug Interactions. Mathematics. 11(18). 3990–3990. 6 indexed citations
14.
Li, Dongxu, Peng Zhou, Bo-Wei Zhao, et al.. (2023). Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. BMC Bioinformatics. 24(1). 451–451. 1 indexed citations
15.
Yang, Yue, Xiaorui Su, Bo-Wei Zhao, et al.. (2023). Fuzzy-Based Deep Attributed Graph Clustering. IEEE Transactions on Fuzzy Systems. 32(4). 1951–1964. 63 indexed citations
16.
Zhao, Bo-Wei, Lei Wang, Pengwei Hu, et al.. (2023). Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Transactions on Emerging Topics in Computing. 12(1). 163–176. 70 indexed citations
17.
Zhao, Bo-Wei, et al.. (2022). A geometric deep learning framework for drug repositioning over heterogeneous information networks. Briefings in Bioinformatics. 23(6). 82 indexed citations
18.
Su, Xiaorui, Pengwei Hu, Hai-Cheng Yi, Zhu‐Hong You, & Lun Hu. (2022). Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE Journal of Biomedical and Health Informatics. 27(1). 562–572. 40 indexed citations
19.
Su, Xiaorui, Zhu‐Hong You, Lei Wang, et al.. (2021). SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Applied Soft Computing. 111. 107831–107831. 23 indexed citations
20.
He, Tiantian, Lun Hu, Keith C. C. Chan, & Pengwei Hu. (2018). Learning Latent Factors for Community Identification and Summarization. IEEE Access. 6. 30137–30148. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hiroshi Mamitsuka Breakdown of academic impact, for papers by Ali Masoudi‐Nejad Breakdown of academic impact, for papers by Mehmet Koyutürk Breakdown of academic impact, for papers by Yaohang Li Breakdown of academic impact, for papers by Lin Gao Breakdown of academic impact, for papers by Shaoliang Peng Breakdown of academic impact, for papers by Ling‐Yun Wu Breakdown of academic impact, for papers by Minghua Deng Breakdown of academic impact, for papers by Maozu Guo Breakdown of academic impact, for papers by Tingyang Xu
Rankless by CCL
2026