Jinsong Leng

550 total citations
32 papers, 383 citations indexed

About

Jinsong Leng is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Jinsong Leng has authored 32 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Plant Science and 10 papers in Artificial Intelligence. Recurrent topics in Jinsong Leng's work include Image and Signal Denoising Methods (8 papers), Smart Agriculture and AI (7 papers) and Neural Networks and Applications (4 papers). Jinsong Leng is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Smart Agriculture and AI (7 papers) and Neural Networks and Applications (4 papers). Jinsong Leng collaborates with scholars based in China, Australia and Italy. Jinsong Leng's co-authors include Dean Diepeveen, Leisa Armstrong, Zhenshuo Wang, Craig Valli, Michael Wisniewski, Jia Liu, Qi Wang, Yuan Sui, Mingguo Jiang and Ting‐Zhu Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jinsong Leng

31 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinsong Leng China 9 122 88 79 50 40 32 383
Noel B. Linsangan Philippines 14 177 1.5× 62 0.7× 140 1.8× 15 0.3× 19 0.5× 89 612
Hua Yin China 10 102 0.8× 53 0.6× 37 0.5× 13 0.3× 17 0.4× 32 289
Dongxu Yang China 10 93 0.8× 27 0.3× 70 0.9× 13 0.3× 14 0.3× 26 298
Abhineet Anand India 11 208 1.7× 69 0.8× 49 0.6× 12 0.2× 9 0.2× 49 490
Asif Iqbal Khan India 8 162 1.3× 63 0.7× 72 0.9× 33 0.7× 15 0.4× 22 413
Harjeet Singh India 10 71 0.6× 47 0.5× 92 1.2× 8 0.2× 11 0.3× 29 309
Mostafa Mehdipour Ghazi Denmark 8 265 2.2× 142 1.6× 165 2.1× 11 0.2× 34 0.8× 19 674
Md Jahid Hasan Bangladesh 11 280 2.3× 83 0.9× 45 0.6× 7 0.1× 14 0.3× 32 534
Manuele Bicego Italy 13 265 2.2× 133 1.5× 169 2.1× 17 0.3× 263 6.6× 35 769

Countries citing papers authored by Jinsong Leng

Since Specialization
Citations

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

Fields of papers citing papers by Jinsong Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsong Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsong Leng. A scholar is included among the top collaborators of Jinsong Leng 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 Jinsong Leng. Jinsong Leng 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
2.
Yu, Jiali, et al.. (2024). Coexistence of Cyclic Sequential Pattern Recognition and Associative Memory in Neural Networks by Attractor Mechanisms. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4959–4970. 1 indexed citations
3.
Liu, Sheng, Jinsong Leng, Xi-Le Zhao, et al.. (2023). Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 3633–3646. 8 indexed citations
4.
Zhu, Rui, Jinsong Leng, Qiang Fu, et al.. (2023). Transformer-based target tracking algorithm for space-based optoelectronic detection. Frontiers in Physics. 11. 1 indexed citations
5.
Leng, Jinsong, et al.. (2022). Utilization of the antagonistic yeast, Wickerhamomyces anomalus, combined with UV-C to manage postharvest rot of potato tubers caused by Alternaria tenuissima. International Journal of Food Microbiology. 377. 109782–109782. 21 indexed citations
6.
Wang, Zhenshuo, et al.. (2021). Heat stress alters the transcriptome of Debaryomyces hansenii and reduces its biocontrol activity against postharvest gray mold on kiwifruit. Postharvest Biology and Technology. 178. 111541–111541. 12 indexed citations
7.
Leng, Jinsong, et al.. (2019). Some Bounds on Eigenvalues of the Hadamard Product and the Fan Product of Matrices. Mathematics. 7(2). 147–147. 4 indexed citations
8.
Leng, Jinsong, et al.. (2019). A Shearlets-Based Method for Rain Removal from Single Images. Applied Sciences. 9(23). 5137–5137. 1 indexed citations
9.
Leng, Jinsong, et al.. (2015). A computer-based vision systems for automatic identification of plant species using kNN and genetic PCA. Australasian Journal of Paramedicine. 6(2). 2 indexed citations
10.
Armstrong, Leisa, et al.. (2015). A survey of computer-based vision systems for automatic identification of plant species. Australasian Journal of Paramedicine. 6(1). 32 indexed citations
11.
Diepeveen, Dean, et al.. (2015). A Neuronal Classification System for Plant Leaves Using Genetic Image Segmentation. Australasian Journal of Paramedicine. 9(3). 261–278. 2 indexed citations
12.
Leng, Jinsong, et al.. (2014). A genetic Algorithm-Based feature selection. Australasian Journal of Paramedicine. 120 indexed citations
13.
Armstrong, Leisa, et al.. (2014). Application of cellular neural networks and NaiveBayes classifier in agriculture. Australasian Journal of Paramedicine. 4 indexed citations
14.
Armstrong, Leisa, et al.. (2014). On the application of genetic probabilistic neural network and cellular neural networks in precision agriculture. Murdoch Research Repository (Murdoch University). 6 indexed citations
15.
Leng, Jinsong, Ting‐Zhu Huang, & Carlo Cattani. (2013). Construction of Bivariate Nonseparable Compactly Supported Orthogonal Wavelets. Mathematical Problems in Engineering. 2013. 1–11. 3 indexed citations
16.
Leng, Jinsong, et al.. (2011). A Study on Conjugate Quadrature Filters. EURASIP Journal on Advances in Signal Processing. 2011(1). 3 indexed citations
17.
Leng, Jinsong, et al.. (2011). On analysis of circle moments and texture features for cartridge images recognition. Expert Systems with Applications. 39(2). 2092–2101. 7 indexed citations
18.
Leng, Jinsong, Lakhmi C. Jain, & Colin Fyfe. (2008). Experimental analysis of eligibility traces strategies in temporal difference learning. 1(1). 26–26. 1 indexed citations
19.
Leng, Jinsong, et al.. (2008). Introduction of structural health and safety monitoring warning systems for Shenzhen-Hong Kong Western Corridor Shenzhen Bay Bridge. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6935. 69351L–69351L. 1 indexed citations
20.
Leng, Jinsong, Zhengxing Cheng, Ting‐Zhu Huang, & Choi-Hong Lai. (2006). Construction and properties of multiwavelet packets with arbitrary scale and the related algorithms of decomposition and reconstruction. Computers & Mathematics with Applications. 51(11). 1663–1676. 7 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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