Haoqiang Liu

885 total citations · 1 hit paper
72 papers, 599 citations indexed

About

Haoqiang Liu is a scholar working on Molecular Biology, Insect Science and Electrical and Electronic Engineering. According to data from OpenAlex, Haoqiang Liu has authored 72 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Insect Science and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Haoqiang Liu's work include Advanced Nanomaterials in Catalysis (10 papers), Insect Resistance and Genetics (9 papers) and IoT and Edge/Fog Computing (8 papers). Haoqiang Liu is often cited by papers focused on Advanced Nanomaterials in Catalysis (10 papers), Insect Resistance and Genetics (9 papers) and IoT and Edge/Fog Computing (8 papers). Haoqiang Liu collaborates with scholars based in China, Singapore and South Korea. Haoqiang Liu's co-authors include Hongbo Zhao, Chun Ran, Wenquan Feng, Minwei Zhang, Depeng Jin, Yong Li, Xiaojiao Li, Jiayue Wang, S. W. K. Yuan and Lin Cong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Haoqiang Liu

62 papers receiving 584 citations

Hit Papers

Generative AI Empowered N... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoqiang Liu China 15 137 135 93 86 74 72 599
Iqbal Singh India 14 114 0.8× 105 0.8× 121 1.3× 46 0.5× 88 1.2× 63 783
Xiaolei Zhang China 12 162 1.2× 216 1.6× 103 1.1× 30 0.3× 24 0.3× 39 782
Jin Kim South Korea 12 49 0.4× 22 0.2× 33 0.4× 151 1.8× 53 0.7× 58 687
Deguang Li China 14 67 0.5× 19 0.1× 73 0.8× 33 0.4× 121 1.6× 61 679
Arshad Muhammad Pakistan 11 34 0.2× 43 0.3× 52 0.6× 122 1.4× 117 1.6× 45 404
Jinquan Huang China 13 370 2.7× 54 0.4× 438 4.7× 31 0.4× 24 0.3× 29 884
Gabriel Avelino Sampedro Philippines 20 192 1.4× 44 0.3× 24 0.3× 164 1.9× 63 0.9× 125 1.1k
Abid Ali Pakistan 15 41 0.3× 26 0.2× 111 1.2× 231 2.7× 180 2.4× 62 596

Countries citing papers authored by Haoqiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haoqiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoqiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haoqiang Liu. A scholar is included among the top collaborators of Haoqiang Liu 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 Haoqiang Liu. Haoqiang Liu 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.
Xu, Yuan, et al.. (2025). Oligosaccharides and oligosaccharide-based noble metal nanoparticles: From preparation to biomedical applications. Carbohydrate Polymers. 368(Pt 1). 124083–124083.
3.
Liu, Haoqiang, et al.. (2025). Jointly Optimizing Deployment and Antenna of Base Stations Using Hierarchical Reinforcement Learning. ACM Transactions on Knowledge Discovery from Data. 20(1). 1–25. 1 indexed citations
4.
Liu, Haoqiang, et al.. (2025). Coordinated Downlink Beamforming in Multi-Cell MIMO Networks: A Diffusion Model-Enhanced Multi-Agent Reinforcement Learning Perspective. IEEE Transactions on Wireless Communications. 25. 7617–7634.
5.
Li, Tong, Haoye Chai, Haoqiang Liu, et al.. (2025). Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications. ACM Computing Surveys. 57(6). 1–43. 26 indexed citations breakdown →
6.
Liu, Haoqiang, et al.. (2024). Efficient Multi-User Resource Allocation for Urban Vehicular Edge Computing: A Hybrid Architecture Matching Approach. IEEE Transactions on Vehicular Technology. 74(1). 1811–1816.
7.
Liu, Haoqiang, et al.. (2024). Differentiation strategies for microbial community assembly and their associations with soil functions in lemon farmland. Applied Soil Ecology. 201. 105493–105493. 1 indexed citations
8.
Liu, Haoqiang, Jianmin Li, Jianmin Li, et al.. (2024). In vivo pharmacokinetics of Glycyrrhiza uralensis polysaccharides. Frontiers in Pharmacology. 15. 1431221–1431221. 2 indexed citations
9.
Ma, Aijie, Yuming Chen, Qiao Zhang, et al.. (2024). Anticorrosive coating from mussel-inspired hyperbranched epoxy resin with high mechanical properties and corrosion resistance. Journal of Materials Science. 59(45). 21129–21143. 2 indexed citations
10.
Chen, Xin, Shuaishuai Han, Yang Bai, et al.. (2024). Cellulose nanocrystal‐modified bio‐based aqueous polyurethane coating agent for kraft paper packaging. Journal of Applied Polymer Science. 141(32). 8 indexed citations
11.
Liu, Haoqiang, et al.. (2023). NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. Applied Soft Computing. 146. 110680–110680. 17 indexed citations
12.
Pan, Qi, Sichen Li, Lili Ding, et al.. (2023). Effects of Candidatus Liberibacter asiaticus infection on metagenome of Diaphorina citri gut endosymbiont. Scientific Data. 10(1). 478–478. 7 indexed citations
13.
Li, Sichen, et al.. (2022). Biochemical and Molecular Analysis of Field Resistance to Spirodiclofen in Panonychus citri (McGregor). Insects. 13(11). 1011–1011. 15 indexed citations
14.
Cong, Lin, et al.. (2020). Genetic analysis and screening of detoxification-related genes in an amitraz-resistant strain of Panonychus citri. Bulletin of Entomological Research. 110(6). 743–755. 9 indexed citations
15.
Liu, Haoqiang, Hongbo Zhao, & Wenquan Feng. (2017). Regularized sparsity variable step-size adaptive matching pursuit algorithm for compressed sensing. Beijing Hangkong Hangtian Daxue xuebao. 43(10). 2109. 4 indexed citations
16.
Wang, Xuelian, et al.. (2016). Behavioral response of Neoseiulus barkeri to carrizo citrange leaves damaged by Panonychus citri and sucking insects. 53(1). 39. 1 indexed citations
17.
Jiang, Gaofei, Yunfei Zhang, Fei Chen, et al.. (2015). Differential Analysis of the Cytochrome p450 Acaricide-Resistance Genes inPanonychus citri(Trombidiformes: Tetranychidae) Strains. Florida Entomologist. 98(1). 318–329. 4 indexed citations
18.
Ran, Chun, et al.. (2012). Selection of resistance to amitraz and analysis of expression difference of cytochrome P450 genes in Panonychus citri (Acari: Tetranychidae).. Acta Entomologica Sinica. 55(6). 703–709. 4 indexed citations
19.
Liu, Haoqiang. (2012). Isolation and identification of active compound from Radix Angelicae Biseratae extracts against citrus fungus pathogens. Guoshu xuebao. 3 indexed citations
20.
Li-na, MA, et al.. (2010). Acaricidal activity of extract of Ligusticum sinense against Panonychus citri.. Xi'nan nongye xuebao. 23(2). 405–409. 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.

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