Qiang Lyu

729 total citations
49 papers, 488 citations indexed

About

Qiang Lyu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Qiang Lyu has authored 49 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 8 papers in Plant Science. Recurrent topics in Qiang Lyu's work include RNA and protein synthesis mechanisms (16 papers), Computational Drug Discovery Methods (9 papers) and Protein Structure and Dynamics (8 papers). Qiang Lyu is often cited by papers focused on RNA and protein synthesis mechanisms (16 papers), Computational Drug Discovery Methods (9 papers) and Protein Structure and Dynamics (8 papers). Qiang Lyu collaborates with scholars based in China, United States and Canada. Qiang Lyu's co-authors include Tingfang Wu, Yongqiang Zheng, Lijun Quan, Lijun Quan, Selvarajah Thuseethan, John Yearwood, Sutharshan Rajasegarar, Haiou Li, Hongjie Wu and Xuejiao Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Qiang Lyu

43 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiang Lyu China	14	233	138	92	59	41	49	488
Tonghua Li China	17	343 1.5×	130 0.9×	100 1.1×	107 1.8×	20 0.5×	44	792
Pritam Chanda United States	13	217 0.9×	56 0.4×	31 0.3×	23 0.4×	35 0.9×	23	546
Yanrui Ding China	13	282 1.2×	95 0.7×	31 0.3×	13 0.2×	30 0.7×	52	534
Chang-Qing Yu China	17	529 2.3×	58 0.4×	165 1.8×	11 0.2×	60 1.5×	70	767
Thomas Linke Germany	12	656 2.8×	435 3.2×	36 0.4×	23 0.4×	13 0.3×	29	1.2k
Shuangyu Dong China	12	199 0.9×	311 2.3×	17 0.2×	21 0.4×	95 2.3×	26	537
Yan Bai China	14	247 1.1×	301 2.2×	47 0.5×	4 0.1×	33 0.8×	60	727
Xiaohu Zhao China	11	23 0.1×	123 0.9×	26 0.3×	78 1.3×	35 0.9×	41	364
Jin Ning China	16	47 0.2×	85 0.6×	16 0.2×	68 1.2×	111 2.7×	54	731
R. Sivasamy India	13	82 0.4×	74 0.5×	29 0.3×	9 0.2×	66 1.6×	37	559

Countries citing papers authored by Qiang Lyu

Since Specialization

Citations

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

Fields of papers citing papers by Qiang Lyu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Lyu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Zhijun, et al.. (2025). LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and protein. Nature Communications. 16(1). 7712–7712. 1 indexed citations

Quan, Lijun, Zhihong Zhang, Zhijun Zhang, et al.. (2025). PaRPI predicts RNA-Protein interactions from cross-protocol and cross-batch RNA-binding protein datasets. Communications Biology. 8(1). 1396–1396.

Quan, Lijun, et al.. (2025). DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation. Briefings in Bioinformatics. 26(2).

Sun, Xudong, et al.. (2024). Apple SSC estimation using hand-held NIRS instrument for outdoor measurement with ambient light correction. Postharvest Biology and Technology. 217. 113101–113101. 1 indexed citations

Ma, Xiaoguang, Tingfang Wu, Geng Li, et al.. (2024). DSE-HNGCN: Predicting the frequencies of drug-side effects based on heterogeneous networks with mining interactions between drugs and side effects. Journal of Molecular Biology. 437(6). 168916–168916. 1 indexed citations

Zhang, Yan, Qiang Lyu, Xiao Han, et al.. (2024). Proteomic analysis of multiple organ dysfunction induced by rhabdomyolysis. Journal of Proteomics. 298. 105138–105138.

Thuseethan, Selvarajah, et al.. (2024). LiRAN: A Lightweight Residual Attention Network for In-Field Plant Pest Recognition. 3(1). 167–178. 2 indexed citations

Wang, Xuejiao, Tingfang Wu, Pan Deng, et al.. (2024). RPEMHC: improved prediction of MHC–peptide binding affinity by a deep learning approach based on residue–residue pair encoding. Bioinformatics. 40(1). 8 indexed citations

Quan, Lijun, et al.. (2024). MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. IEEE Journal of Biomedical and Health Informatics. 28(8). 4995–5006. 11 indexed citations

10.

Lyu, Qiang & Weiqiang Wang. (2023). Compositional Prototypical Networks for Few-Shot Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 9011–9019. 14 indexed citations

11.

Quan, Lijun, Kailong Li, Yan Li, et al.. (2023). DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 2089–2100. 11 indexed citations

12.

Wu, Tingfang, et al.. (2023). TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3623–3634. 4 indexed citations

13.

Jin, Zhi, et al.. (2023). CAPLA: improved prediction of protein–ligand binding affinity by a deep learning approach based on a cross-attention mechanism. Bioinformatics. 39(2). 44 indexed citations

14.

Quan, Lijun, et al.. (2022). How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1594–1599. 1 indexed citations

15.

Li, Yan, Lijun Quan, Yiting Zhou, et al.. (2022). Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence. Bioinformatics. 38(17). 4070–4077. 8 indexed citations

16.

Quan, Lijun, et al.. (2022). TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features. Bioinformatics. 38(10). 2705–2711. 9 indexed citations

17.

Wang, Jie, Xing-Xing Lu, Qiang Lyu, et al.. (2022). Terahertz spectroscopic monitoring and analysis of citrus leaf water status under low temperature stress. Plant Physiology and Biochemistry. 194. 52–59. 16 indexed citations

18.

Quan, Lijun, et al.. (2021). Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays. IEEE Journal of Biomedical and Health Informatics. 25(7). 2811–2819. 5 indexed citations

19.

Quan, Lijun, Jian Wu, Jie Mei, et al.. (2020). Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(2). 998–1008. 4 indexed citations

20.

Wang, Kejian, Wentao Li, Lie Deng, et al.. (2018). Rapid detection of chlorophyll content and distribution in citrus orchards based on low-altitude remote sensing and bio-sensors. International journal of agricultural and biological engineering. 11(2). 164–169. 9 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