Jida Huang

751 total citations
39 papers, 591 citations indexed

About

Jida Huang is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Jida Huang has authored 39 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 10 papers in Civil and Structural Engineering and 7 papers in Computational Mechanics. Recurrent topics in Jida Huang's work include Topology Optimization in Engineering (10 papers), Cellular and Composite Structures (7 papers) and Advanced Materials and Mechanics (6 papers). Jida Huang is often cited by papers focused on Topology Optimization in Engineering (10 papers), Cellular and Composite Structures (7 papers) and Advanced Materials and Mechanics (6 papers). Jida Huang collaborates with scholars based in United States, China and Canada. Jida Huang's co-authors include Liang Gao, Xinyu Li, Chi Zhou, Tsz-Ho Kwok, Yunqing Rao, Hongyue Sun, Jun Wang, Tianjiao Wang, Wenyao Xu and Chi Zhou and has published in prestigious journals such as Expert Systems with Applications, Advanced Science and Neurocomputing.

In The Last Decade

Jida Huang

35 papers receiving 570 citations

Peers

Jida Huang
Ганеш Какандикар India
Vilas M. Nandedkar India
Wuyi Ming China
P. Dhiraj India
Guohua Cui China
Zhenzhong Jia China
Ferruh Öztürk Türkiye
S. Khodaygan Iran
G. Narayana Naik India
Phong Nguyen United States
Ганеш Какандикар India
Jida Huang
Citations per year, relative to Jida Huang Jida Huang (= 1×) peers Ганеш Какандикар

Countries citing papers authored by Jida Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jida Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jida Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Jida Huang. A scholar is included among the top collaborators of Jida Huang 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 Jida Huang. Jida Huang 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
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D’Souza, Nandika Anne, et al.. (2024). Scalability in SLA lattice through lattice orientation and hybrid frame and plate architectures. Journal of Materials Research and Technology. 35. 645–659. 2 indexed citations
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Huang, Jida, et al.. (2024). A Dataset Generation Framework for Symmetry-Induced Mechanical Metamaterials. Journal of Mechanical Design. 147(4). 4 indexed citations
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Huang, Jida, et al.. (2023). Inverse Design of Two-Dimensional Shape-Morphing Structures. Journal of Mechanical Design. 145(12). 3 indexed citations
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Huang, Jida, et al.. (2023). Inverse design of 3D cellular materials with physics-guided machine learning. Materials & Design. 232. 112103–112103. 41 indexed citations
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Wang, Jun, et al.. (2022). Two-Scale Topology Optimization with Isotropic and Orthotropic Microstructures. Designs. 6(5). 73–73. 8 indexed citations
10.
Huang, Jida, et al.. (2022). Mechanical Profile of Smooth Cellular Materials. Journal of Manufacturing Science and Engineering. 145(2). 5 indexed citations
11.
Huang, Jiaoyan, Liuhui Fu, Jida Huang, et al.. (2022). Group 3 Innate Lymphoid Cells Protect the Host from the Uropathogenic Escherichia coli Infection in the Bladder. Advanced Science. 9(6). e2103303–e2103303. 21 indexed citations
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Huang, Jida, Hongyue Sun, Tsz-Ho Kwok, Chi Zhou, & Wenyao Xu. (2020). Geometric Deep Learning for Shape Correspondence in Mass Customization by Three-Dimensional Printing. Journal of Manufacturing Science and Engineering. 142(6). 12 indexed citations
14.
Huang, Jida, Tsz-Ho Kwok, Chi Zhou, & Wenyao Xu. (2019). Surfel convolutional neural network for support detection in additive manufacturing. The International Journal of Advanced Manufacturing Technology. 105(9). 3593–3604. 21 indexed citations
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Huang, Jida, Tsz-Ho Kwok, & Chi Zhou. (2017). V4PCS: Volumetric 4PCS Algorithm for Global Registration. Journal of Mechanical Design. 139(11). 36 indexed citations
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Huang, Jida, et al.. (2016). Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization. Computational Intelligence and Neuroscience. 2016. 1–12. 15 indexed citations
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Huang, Jida, Liang Gao, & Xinyu Li. (2015). An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes. Applied Soft Computing. 36. 349–356. 98 indexed citations
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Yi, Wenchao, Xinyu Li, Liang Gao, Yinzhi Zhou, & Jida Huang. (2015). ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems. Expert Systems with Applications. 44. 37–49. 14 indexed citations
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Gao, Liang, Jida Huang, & Xinyu Li. (2012). An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process. Applied Soft Computing. 12(11). 3490–3499. 44 indexed citations
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Ma, Tianran, et al.. (2010). Coal supply chain optimization with Tabu Search algorithm. 38–41.

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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2026