Xiaoli Qiang

847 total citations
48 papers, 608 citations indexed

About

Xiaoli Qiang is a scholar working on Molecular Biology, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Xiaoli Qiang has authored 48 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Mechanical Engineering. Recurrent topics in Xiaoli Qiang's work include Advanced biosensing and bioanalysis techniques (13 papers), DNA and Biological Computing (12 papers) and Influenza Virus Research Studies (7 papers). Xiaoli Qiang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (13 papers), DNA and Biological Computing (12 papers) and Influenza Virus Research Studies (7 papers). Xiaoli Qiang collaborates with scholars based in China, Pakistan and Iran. Xiaoli Qiang's co-authors include Zheng Kou, Ran Su, Leyi Wei, Xiucai Ye, Chen Zhou, Pu-Feng Du, Gang Fang, Kamran Kamran, Abid Mahboob and Yu‐Ming Chu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xiaoli Qiang

44 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoli Qiang China	14	301	78	65	62	57	48	608
Tadeusz A. Wysocki Australia	17	100 0.3×	113 1.4×	21 0.3×	67 1.1×	18 0.3×	157	2.0k
G. Bellu Italy	7	251 0.8×	35 0.4×	9 0.1×	29 0.5×	27 0.5×	9	643
Peng Ni China	19	588 2.0×	72 0.9×	20 0.3×	132 2.1×	26 0.5×	46	1.2k
Kazunori Iwata Japan	11	183 0.6×	17 0.2×	12 0.2×	37 0.6×	104 1.8×	46	516
Alexander V. Tuzikov Belarus	16	218 0.7×	26 0.3×	9 0.1×	22 0.4×	12 0.2×	80	656
Alfredo Benso Italy	19	231 0.8×	31 0.4×	11 0.2×	74 1.2×	37 0.6×	118	1.3k
Simant Dube United States	10	253 0.8×	128 1.6×	7 0.1×	49 0.8×	19 0.3×	20	581
Beata J. Wysocki Australia	12	95 0.3×	60 0.8×	8 0.1×	28 0.5×	18 0.3×	71	493
M. Das United States	12	101 0.3×	140 1.8×	134 2.1×	53 0.9×	26 0.5×	69	778
Leontina D’Angiò Italy	4	213 0.7×	24 0.3×	7 0.1×	23 0.4×	22 0.4×	6	528

Countries citing papers authored by Xiaoli Qiang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoli Qiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Qiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Qiang. A scholar is included among the top collaborators of Xiaoli Qiang 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 Xiaoli Qiang. Xiaoli Qiang 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

Ain, Qura Tul, et al.. (2025). GTAT: empowering graph neural networks with cross attention. Scientific Reports. 15(1). 4760–4760. 1 indexed citations

Shi, Xiaolong, Xin Chen, Si Sun, et al.. (2024). Instruction-responsive programmable assemblies with DNA origami block pieces. Nucleic Acids Research. 53(1). 2 indexed citations

Ain, Qura Tul, Jiahao Shen, Peng Xu, Xiaoli Qiang, & Zheng Kou. (2024). A stochastic approach for co-evolution process of virus and human immune system. Scientific Reports. 14(1). 10337–10337. 2 indexed citations

Ain, Qura Tul, Xiaoli Qiang, Yongsheng Rao, et al.. (2024). Extinction Dynamics and Equilibrium Patterns in Stochastic Epidemic Model for Norovirus: Role of Temporal Immunity and Generalized Incidence Rates. Fractal and Fractional. 8(10). 586–586.

Sun, Si, et al.. (2023). Extremely Large‐Stroke Hair Artificial Muscles with Fast Recovery Prepared by a Facile and Green Method. SHILAP Revista de lepidopterología. 5(7). 1 indexed citations

Chen, Zhihua, Siyuan Chen, & Xiaoli Qiang. (2022). Identification of Biomarker in Brain-specific Gene Regulatory Network Using Structural Controllability Analysis. SHILAP Revista de lepidopterología. 2. 812314–812314. 2 indexed citations

Kou, Zheng, et al.. (2022). Using amino acid features to identify the pathogenicity of influenza B virus. Infectious Diseases of Poverty. 11(1). 50–50. 1 indexed citations

Qiang, Xiaoli, et al.. (2021). Novel Concepts of Domination in Vague Graphs with Application in Medicine. Mathematical Problems in Engineering. 2021. 1–10. 9 indexed citations

Qiang, Xiaoli, et al.. (2021). A Note on the w-Pseudo-Orders in Ordered (Semi)Hyperrings. Symmetry. 13(12). 2371–2371. 4 indexed citations

10.

Kou, Zheng, Junjie Li, Xinyue Fan, Saeed Kosari, & Xiaoli Qiang. (2021). Predicting Cross-Species Infection of Swine Influenza Virus with Representation Learning of Amino Acid Features. Computational and Mathematical Methods in Medicine. 2021. 1–12. 2 indexed citations

11.

Qiang, Xiaoli, Peng Xu, Gang Fang, Wenbin Liu, & Zheng Kou. (2020). Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus. Infectious Diseases of Poverty. 9(1). 33–33. 51 indexed citations

12.

Chen, Zhihua, et al.. (2020). Improved neural networks based on genetic algorithm for pulse recognition. Computational Biology and Chemistry. 88. 107315–107315. 19 indexed citations

13.

Qiang, Xiaoli, et al.. (2020). New generalized fractional versions of Hadamard and Fejér inequalities for harmonically convex functions. Journal of Inequalities and Applications. 2020(1). 13 indexed citations

14.

Qiang, Xiaoli & Zheng Kou. (2019). Scoring amino acid mutation to predict pandemic risk of avian influenza virus. BMC Bioinformatics. 20(S8). 288–288. 13 indexed citations

15.

Qiang, Xiaoli, Chen Zhou, Xiucai Ye, et al.. (2018). CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings in Bioinformatics. 21(1). 11–23. 122 indexed citations

16.

Qiang, Xiaoli & Zheng Kou. (2018). Predicting interspecies transmission of avian influenza virus based on wavelet packet decomposition. Computational Biology and Chemistry. 78. 455–459. 7 indexed citations

17.

Qiang, Xiaoli, et al.. (2018). M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species. Frontiers in Genetics. 9. 495–495. 90 indexed citations

18.

Xu, Jin, Xiaoli Qiang, Kai Zhang, Cheng Zhang, & Jing Yang. (2018). A DNA Computing Model for the Graph Vertex Coloring Problem Based on a Probe Graph. Engineering. 4(1). 61–77. 19 indexed citations

19.

Xu, Jin, Xiaoli Qiang, Yan Yang, et al.. (2011). An Unenumerative DNA Computing Model for Vertex Coloring Problem. IEEE Transactions on NanoBioscience. 10(2). 94–98. 15 indexed citations

20.

Kou, Zheng, Yanhong Zhou, & Xiaoli Qiang. (2008). Human influenza: a virus classification using a probabilistic neural network. Kybernetes. 37(9/10). 1425–1430. 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.

Explore authors with similar magnitude of impact