Bingqiang Liu

3.4k total citations
104 papers, 2.2k citations indexed

About

Bingqiang Liu is a scholar working on Molecular Biology, Plant Science and Mechanical Engineering. According to data from OpenAlex, Bingqiang Liu has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 15 papers in Plant Science and 11 papers in Mechanical Engineering. Recurrent topics in Bingqiang Liu's work include RNA and protein synthesis mechanisms (16 papers), Single-cell and spatial transcriptomics (14 papers) and Genomics and Phylogenetic Studies (13 papers). Bingqiang Liu is often cited by papers focused on RNA and protein synthesis mechanisms (16 papers), Single-cell and spatial transcriptomics (14 papers) and Genomics and Phylogenetic Studies (13 papers). Bingqiang Liu collaborates with scholars based in China, United States and United Kingdom. Bingqiang Liu's co-authors include Qin Ma, Anjun Ma, Bin Yu, Adam McDermaid, Cheng Chen, Xiaoying Wang, Jing Zhao, Brandon Monier, Guanghui Wang and Hualong Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Renewable and Sustainable Energy Reviews.

In The Last Decade

Bingqiang Liu

96 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingqiang Liu China 26 1.1k 336 240 152 147 104 2.2k
Lin Cheng China 27 1.3k 1.2× 178 0.5× 38 0.2× 265 1.7× 164 1.1× 152 2.6k
Wei Liu China 25 394 0.4× 346 1.0× 87 0.4× 69 0.5× 275 1.9× 240 2.3k
Jianqiang Sun China 21 1.0k 0.9× 106 0.3× 262 1.1× 458 3.0× 131 0.9× 78 2.1k
Minjuan Wang China 28 1.0k 0.9× 418 1.2× 21 0.1× 75 0.5× 184 1.3× 130 3.2k
Shibao Li China 24 629 0.6× 232 0.7× 35 0.1× 280 1.8× 83 0.6× 176 1.9k
Wenzhe Wang China 23 365 0.3× 132 0.4× 57 0.2× 100 0.7× 122 0.8× 127 1.7k
Zhengguang Li China 26 487 0.4× 66 0.2× 122 0.5× 71 0.5× 67 0.5× 108 2.0k
Lin Hong China 20 288 0.3× 142 0.4× 102 0.4× 20 0.1× 192 1.3× 66 1.3k

Countries citing papers authored by Bingqiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bingqiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingqiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingqiang Liu. A scholar is included among the top collaborators of Bingqiang 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 Bingqiang Liu. Bingqiang 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.
2.
Yang, Bo, Yimin Zhou, Bingqiang Liu, et al.. (2024). Optimal array layout design of wave energy converter via honey badger algorithm. Renewable Energy. 234. 121182–121182. 3 indexed citations
3.
Liu, Bingqiang, et al.. (2024). Microstructure and mechanical properties of TiB2-TiNw ceramic composite fabricated by SPS. Ceramics International. 50(17). 30168–30174. 3 indexed citations
4.
Yang, Bo, et al.. (2024). Optimal placement of hybrid solar-wind-wave systems for maximum energy harvesting via chaotic artificial rabbits algorithm. Energy Conversion and Management. 322. 119143–119143. 2 indexed citations
5.
Yan, Feng, Qingsong Zhao, Qingmin Meng, et al.. (2024). Identification of candidate genes and genomic prediction of soybean fatty acid components in two soybean populations. Theoretical and Applied Genetics. 137(9). 211–211.
6.
Li, Yang, Anjun Ma, Yizhong Wang, et al.. (2024). Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data. Briefings in Bioinformatics. 25(5). 5 indexed citations
7.
Chang, Yuzhou, Jixin Liu, Yi Jiang, et al.. (2024). Graph Fourier transform for spatial omics representation and analyses of complex organs. Nature Communications. 15(1). 7467–7467. 9 indexed citations
8.
Xu, Zhiyong, Naheeda Begum, Bingqiang Liu, et al.. (2023). Dysfunction of GmVPS8a causes compact plant architecture in soybean. Plant Science. 331. 111677–111677. 2 indexed citations
9.
Xu, Yushuang, et al.. (2022). Leveraging Existing 16SrRNA Microbial Data to Define a Composite Biomarker for Autism Spectrum Disorder. Microbiology Spectrum. 10(4). e0033122–e0033122. 10 indexed citations
10.
Chen, Junyi, Xiaoying Wang, Anjun Ma, et al.. (2022). Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data. Nature Communications. 13(1). 6494–6494. 100 indexed citations
11.
Liu, Bingqiang, Zehua Yin, Yi Zhan, et al.. (2022). An Energy-Efficient SIFT Based Feature Extraction Accelerator for High Frame-Rate Video Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 69(12). 4930–4943. 8 indexed citations
12.
Yu, Bin, et al.. (2021). Prediction of protein–protein interactions based on elastic net and deep forest. Expert Systems with Applications. 176. 114876–114876. 59 indexed citations
13.
Ma, Anjun, Cankun Wang, Yuzhou Chang, et al.. (2020). IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq. Nucleic Acids Research. 48(W1). W275–W286. 27 indexed citations
14.
Ma, Anjun, Cankun Wang, Yuzhou Chang, et al.. (2020). IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq. PMC. 1 indexed citations
15.
Li, Yang, Anjun Ma, Ewy A. Mathé, et al.. (2020). Elucidation of Biological Networks across Complex Diseases Using Single-Cell Omics. Trends in Genetics. 36(12). 951–966. 22 indexed citations
16.
Yang, Jinyu, Anjun Ma, Adam D. Hoppe, et al.. (2019). Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework. Nucleic Acids Research. 47(15). 7809–7824. 47 indexed citations
17.
McDermaid, Adam, Brandon Monier, Jing Zhao, Bingqiang Liu, & Qin Ma. (2018). Interpretation of differential gene expression results of RNA-seq data: review and integration. Briefings in Bioinformatics. 20(6). 2044–2054. 183 indexed citations
18.
Wang, Zhaobao, Yaqing Li, Jianqun Lin, et al.. (2016). The Two-Component System RsrS-RsrR Regulates the Tetrathionate Intermediate Pathway for Thiosulfate Oxidation in Acidithiobacillus caldus. Frontiers in Microbiology. 7. 1755–1755. 31 indexed citations
19.
Li, Guojun, Bingqiang Liu, & Ying Xu. (2009). Accurate recognition of cis -regulatory motifs with the correct lengths in prokaryotic genomes. Nucleic Acids Research. 38(2). e12–e12. 9 indexed citations
20.
Zhang, Mengchen, et al.. (2005). Studies on quality improvement effect and separate character of soybean male sterile (MS1) recurrent selection population.. Xi'nan nongye xuebao. 18(5). 547–551. 2 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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