Jianqiang Song

467 total citations
29 papers, 342 citations indexed

About

Jianqiang Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jianqiang Song has authored 29 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Jianqiang Song's work include Advanced Nanomaterials in Catalysis (6 papers), Carbon and Quantum Dots Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Jianqiang Song is often cited by papers focused on Advanced Nanomaterials in Catalysis (6 papers), Carbon and Quantum Dots Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Jianqiang Song collaborates with scholars based in China and Rwanda. Jianqiang Song's co-authors include Longshan Zhao, Ning Zhao, Guangming Shi, Xuemei Xie, Zongmao Zhao, Zhifeng Liu, Weisheng Dong, Xinyi Dong, Xun Gao and Sitong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and IEEE Access.

In The Last Decade

Jianqiang Song

26 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianqiang Song China 10 103 97 46 35 32 29 342
Xinfeng Zhang China 11 209 2.0× 22 0.2× 16 0.3× 20 0.6× 42 1.3× 59 615
Wenxiang Hu China 15 162 1.6× 30 0.3× 21 0.5× 16 0.5× 21 0.7× 40 635
Ming Ruan China 13 167 1.6× 33 0.3× 10 0.2× 18 0.5× 22 0.7× 43 534
Shibo Chen China 11 157 1.5× 99 1.0× 52 1.1× 12 0.3× 9 0.3× 29 591
G Geetanjali India 10 153 1.5× 31 0.3× 60 1.3× 19 0.5× 15 0.5× 51 505
Takashi Ôtsuki Japan 12 244 2.4× 32 0.3× 155 3.4× 16 0.5× 14 0.4× 43 882
Gopal Chandra Jana India 13 128 1.2× 145 1.5× 47 1.0× 18 0.5× 38 1.2× 33 517
Devendra Kumar India 17 222 2.2× 91 0.9× 245 5.3× 16 0.5× 12 0.4× 76 893
Jiejia Li China 12 119 1.2× 30 0.3× 22 0.5× 36 1.0× 3 0.1× 51 588
Wenting Du China 15 242 2.3× 28 0.3× 25 0.5× 15 0.4× 5 0.2× 45 669

Countries citing papers authored by Jianqiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Jianqiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianqiang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jianqiang Song. A scholar is included among the top collaborators of Jianqiang Song 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 Song. Jianqiang Song 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.
Song, Jianqiang, et al.. (2025). Regularized autoencoder based discriminative least square regression for image classification. Knowledge-Based Systems. 317. 113380–113380.
2.
Ren, Xing, Xiaojie Lu, Jia Xu, et al.. (2024). Effects of dietary curcumin levels on the growth, intestinal morphology and microbiota, waste production and feed costs of golden pompano Trachinotus ovatus. Aquaculture Reports. 39. 102486–102486. 3 indexed citations
3.
Song, Jianqiang, Ning Zhao, & Longshan Zhao. (2023). Self-assembly and phase transition of gold nanoclusters in natural deep eutectic solvent for visual detection of toxicants in water environment. Journal of Molecular Liquids. 375. 121344–121344. 1 indexed citations
4.
Song, Jianqiang, et al.. (2023). Regularized label relaxation-based stacked autoencoder for zero-shot learning. Applied Intelligence. 53(19). 22348–22362. 1 indexed citations
5.
Song, Jianqiang, et al.. (2023). Relaxed support vector based dictionary learning for image classification. Multimedia Tools and Applications. 83(5). 12731–12755.
6.
Song, Jianqiang, et al.. (2023). Protective effects of quercetin on traumatic brain injury induced inflammation and oxidative stress in cortex through activating Nrf2/HO-1 pathway. SHILAP Revista de lepidopterología. 5(1). e189–e189. 12 indexed citations
7.
Liu, Yujing, et al.. (2022). TCM Constitution Analysis Method Based on Parallel FP-Growth Algorithm in Hadoop Framework. Journal of Healthcare Engineering. 2022. 1–14. 3 indexed citations
8.
Zhao, Ning, Jianqiang Song, & Longshan Zhao. (2022). Metallic deep eutectic solvents-assisted synthesis of Cu, Cl-doped carbon dots as oxidase-like and peroxidase-like nanozyme for colorimetric assay of hydroquinone and H2O2. Colloids and Surfaces A Physicochemical and Engineering Aspects. 648. 129390–129390. 26 indexed citations
9.
Zhao, Ning, et al.. (2022). A pH-dependent N, P co-doped carbon dots as fluorescent probe for malachite green assay and its visual application based on fluorescent hydrogel kit. Colloids and Surfaces B Biointerfaces. 221. 112985–112985. 19 indexed citations
10.
Song, Jianqiang, Sitong Liu, Ning Zhao, & Longshan Zhao. (2022). A new fluorescent probe based on metallic deep eutectic solvent for visual detection of nitrite and pH in food and water environment. Food Chemistry. 398. 133935–133935. 33 indexed citations
11.
Lei, Yang, et al.. (2022). Service placement strategy for joint network selection and resource scheduling in edge computing. The Journal of Supercomputing. 78(12). 14504–14529. 3 indexed citations
12.
Wang, Lin, et al.. (2021). Distributed Functional Signature with Function Privacy and Its Application. Security and Communication Networks. 2021. 1–14. 1 indexed citations
13.
Wang, Yiling, et al.. (2021). A Tongue Detection Method Based on SSD Network Model. 2021 China Automation Congress (CAC). 183. 7850–7855. 1 indexed citations
14.
Wang, Lin, et al.. (2021). Research on a Vehicle-Mounted Intelligent TCM Syndrome Differentiation System Based on Deep Belief Network. IEEE Access. 9. 118019–118030. 5 indexed citations
16.
Zhao, Ning, et al.. (2021). Ratiometric fluorescence probe of Cu2+ and biothiols by using carbon dots and copper nanoclusters. RSC Advances. 11(53). 33662–33674. 19 indexed citations
17.
Song, Jianqiang, Guangming Shi, Xuemei Xie, Qingtao Wu, & Mingchuan Zhang. (2020). Domain-aware Stacked AutoEncoders for zero-shot learning. Neurocomputing. 429. 118–131. 7 indexed citations
18.
Song, Jianqiang, Xuemei Xie, Guangming Shi, & Weisheng Dong. (2019). Multi-layer discriminative dictionary learning with locality constraint for image classification. Pattern Recognition. 91. 135–146. 38 indexed citations
19.
Song, Jianqiang, Guangming Shi, Xuemei Xie, & Dahua Gao. (2019). Zero-Shot Learning Using Stacked Autoencoder with Manifold Regularizations. 9. 3651–3655. 2 indexed citations
20.
Zhao, Zongmao, et al.. (2016). Quercetin attenuates neuronal autophagy and apoptosis in rat traumatic brain injury model via activation of PI3K/Akt signaling pathway. Neurological Research. 38(11). 1012–1019. 62 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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