Jianqiang Sun

3.6k total citations · 4 hit papers
78 papers, 2.1k citations indexed

About

Jianqiang Sun is a scholar working on Molecular Biology, Oceanography and Electrical and Electronic Engineering. According to data from OpenAlex, Jianqiang Sun has authored 78 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Oceanography and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Jianqiang Sun's work include Genomics and Phylogenetic Studies (8 papers), Cancer-related molecular mechanisms research (8 papers) and Computational Drug Discovery Methods (7 papers). Jianqiang Sun is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Cancer-related molecular mechanisms research (8 papers) and Computational Drug Discovery Methods (7 papers). Jianqiang Sun collaborates with scholars based in China, Japan and United States. Jianqiang Sun's co-authors include Qi Zhao, Kentaro K. Shimizu, Koji Kadota, Tomoaki Nishiyama, Jianwei Shuai, Feiyue Sun, Tianyi Wang, Li Zhang, Wenya Wang and Yuer Lu and has published in prestigious journals such as Nature Communications, PLoS ONE and New Phytologist.

In The Last Decade

Jianqiang Sun

73 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep learning method for predicting metabolite–disease associations via graph neural network

2022 202 citations Jianqiang Sun, Qi Zhao et al. Briefings in Bioinformatics profile →
Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field

2022 191 citations Wenya Wang, Li Zhang et al. Briefings in Bioinformatics profile →
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism

2022 172 citations Tianyi Wang, Jianqiang Sun et al. Computers in Biology and Medicine profile →
Predicting metabolite–disease associations based on auto-encoder and non-negative matrix factorization

2023 108 citations Jianqiang Sun, Yuer Lu et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianqiang Sun China	21	1.0k	458	262	173	173	78	2.1k
Junfeng Xia China	30	2.2k 2.2×	545 1.2×	418 1.6×	276 1.6×	184 1.1×	139	3.2k
Chunyu Wang China	29	1.5k 1.5×	466 1.0×	254 1.0×	104 0.6×	100 0.6×	169	2.8k
Fengfeng Zhou China	31	1.9k 1.8×	199 0.4×	168 0.6×	108 0.6×	234 1.4×	170	3.4k
Li Zhao China	33	1.6k 1.5×	635 1.4×	75 0.3×	145 0.8×	338 2.0×	233	3.9k
Xuewen Chen United States	20	1.2k 1.2×	242 0.5×	171 0.7×	74 0.4×	60 0.3×	42	1.9k
Qiao Liu China	23	1.1k 1.1×	195 0.4×	219 0.8×	55 0.3×	75 0.4×	117	1.9k
Jie Pan China	24	1.3k 1.3×	225 0.5×	144 0.5×	77 0.4×	51 0.3×	84	2.2k
Dan Zhao China	30	1.8k 1.8×	231 0.5×	417 1.6×	40 0.2×	88 0.5×	134	2.9k
Bingqiang Liu China	26	1.1k 1.1×	152 0.3×	240 0.9×	50 0.3×	135 0.8×	104	2.2k
Xiaochen Bo China	31	2.7k 2.6×	553 1.2×	567 2.2×	275 1.6×	256 1.5×	166	4.2k

Countries citing papers authored by Jianqiang Sun

Since Specialization

Citations

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

Fields of papers citing papers by Jianqiang Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianqiang Sun

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

All Works

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20 of 20 papers shown

Zuo, Tao, et al.. (2025). Spatiotemporal distribution of ichthyoplankton and their relationship with environmental factors in the waters around the Yellow River estuary, China. Frontiers in Marine Science. 12. 1 indexed citations

Yan, Ying, Jianqiang Sun, Chenglong Yu, et al.. (2024). An unknow fault diagnosis Scheme: A novel random deep forest for fault diagnosis of HVACs. Energy and Buildings. 321. 114660–114660. 1 indexed citations

Sun, Jianqiang & Yosuke Matsushita. (2024). Predicting symptom severity in PSTVd ‐infected tomato plants using the PSTVd genome sequence. Molecular Plant Pathology. 25(7). e13469–e13469. 1 indexed citations

Liu, Liwei, et al.. (2024). Predicting circRNA-RBP Binding Sites Using a Hybrid Deep Neural Network. Interdisciplinary Sciences Computational Life Sciences. 16(3). 635–648. 7 indexed citations

Xie, Jingxuan, et al.. (2024). LncRNA–miRNA interactions prediction based on meta‐path similarity and Gaussian kernel similarity. Journal of Cellular and Molecular Medicine. 28(19). e18590–e18590. 12 indexed citations

Yang, Xin, Jianqiang Sun, Yuer Lu, et al.. (2024). Multi-task aquatic toxicity prediction model based on multi-level features fusion. Journal of Advanced Research. 68. 477–489. 41 indexed citations

Akiyama, Reiko, Takao Goto, Toshiaki Tameshige, et al.. (2023). Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation. Nature Communications. 14(1). 5792–5792. 4 indexed citations

Meng, Rui, et al.. (2023). scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention. Computers in Biology and Medicine. 165. 107414–107414. 70 indexed citations

Cui, Xuejun, et al.. (2023). Improving wheat seedling quality through deep ploughing and soil compaction at sowing in lime concretion black soil. PLoS ONE. 18(7). e0288459–e0288459. 5 indexed citations

10.

Chen, Xiangyong, et al.. (2023). Personalized Movie Recommendations Based on a Multi-Feature Attention Mechanism with Neural Networks. Mathematics. 11(6). 1355–1355. 16 indexed citations

11.

Wang, Tianyi, Jianqiang Sun, & Qi Zhao. (2022). Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism. Computers in Biology and Medicine. 153. 106464–106464. 172 indexed citations breakdown →

12.

Wang, Wenya, Li Zhang, Jianqiang Sun, Qi Zhao, & Jianwei Shuai. (2022). Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field. Briefings in Bioinformatics. 23(6). 191 indexed citations breakdown →

13.

Sun, Jianqiang, et al.. (2022). JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis. Frontiers in Plant Science. 13. 964058–964058. 3 indexed citations

14.

Sun, Jianqiang, Rie Shimizu‐Inatsugi, Hugo Hofhuis, et al.. (2020). A Recently Formed Triploid Cardamine insueta Inherits Leaf Vivipary and Submergence Tolerance Traits of Parents. Frontiers in Genetics. 11. 567262–567262. 12 indexed citations

15.

Akiyama, Reiko, Jianqiang Sun, Masaomi Hatakeyama, et al.. (2020). Fine‐scale empirical data on niche divergence and homeolog expression patterns in an allopolyploid and its diploid progenitor species. New Phytologist. 229(6). 3587–3601. 20 indexed citations

16.

Sun, Jianqiang, et al.. (2018). Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results. Biological Procedures Online. 20(1). 5–5. 26 indexed citations

17.

Yuan, Wei, et al.. (2015). [Impact of artificial reef on community of macrobenthos in Jincheng area of Laizhou Bay, China].. PubMed. 26(6). 1863–70. 1 indexed citations

18.

Kadota, Koji, et al.. (2014). <b><i>Methods for analyzing next-generation sequencing data I. Introduction </i></b>. 25(2). 87–94. 2 indexed citations

19.

Li, Ping, et al.. (2008). Study of Refraction and Reflection Effect Caused by Shock Wave on Laser Short-range Detection. Acta Armamentarii. 29(1). 28–32. 1 indexed citations

20.

Li, Ping, et al.. (2007). Research on laser fuze technology based on MEMS/MOEMS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6724. 67240V–67240V.

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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