Junyan He

690 total citations
24 papers, 377 citations indexed

About

Junyan He is a scholar working on Mechanical Engineering, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Junyan He has authored 24 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Materials Chemistry and 6 papers in Civil and Structural Engineering. Recurrent topics in Junyan He's work include Model Reduction and Neural Networks (5 papers), Structural Health Monitoring Techniques (4 papers) and Machine Learning in Materials Science (3 papers). Junyan He is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Structural Health Monitoring Techniques (4 papers) and Machine Learning in Materials Science (3 papers). Junyan He collaborates with scholars based in United States, China and United Arab Emirates. Junyan He's co-authors include Diab Abueidda, Iwona Jasiuk, Seid Korić, Rashid K. Abu Al‐Rub, Jianwei Cen, Bo Qi, Hong Shi, Hao Shuxian, Laihao Li and Xianqing Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Junyan He

22 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyan He United States 11 138 103 77 68 53 24 377
Luis Manuel Palacios-Pineda Mexico 13 129 0.9× 62 0.6× 53 0.7× 222 3.3× 27 0.5× 47 600
Cong Ding China 16 59 0.4× 323 3.1× 162 2.1× 20 0.3× 79 1.5× 40 540
C. Calderón-Ramón Mexico 11 67 0.5× 45 0.4× 103 1.3× 42 0.6× 16 0.3× 29 476
Jan-Hendrik Bastek Switzerland 4 62 0.4× 181 1.8× 76 1.0× 119 1.8× 36 0.7× 6 370
Davide Bernardini Italy 16 162 1.2× 52 0.5× 104 1.4× 222 3.3× 334 6.3× 46 650
Hang Yang China 11 83 0.6× 180 1.7× 199 2.6× 127 1.9× 74 1.4× 26 464
Julian N. Heidenreich Switzerland 7 79 0.6× 166 1.6× 174 2.3× 66 1.0× 103 1.9× 8 342
S. He Belgium 12 42 0.3× 306 3.0× 272 3.5× 47 0.7× 119 2.2× 23 461
Karl A. Kalina Germany 15 176 1.3× 157 1.5× 275 3.6× 327 4.8× 99 1.9× 37 797

Countries citing papers authored by Junyan He

Since Specialization
Citations

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

Fields of papers citing papers by Junyan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyan He

This figure shows the co-authorship network connecting the top 25 collaborators of Junyan He. A scholar is included among the top collaborators of Junyan He 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 Junyan He. Junyan He 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.
He, Junyan, et al.. (2025). Predicting fall parameters from infant skull fractures using machine learning. Biomechanics and Modeling in Mechanobiology. 24(2). 521–537. 1 indexed citations
3.
Korić, Seid, et al.. (2024). Advanced deep operator networks to predict multiphysics solution fields in materials processing and additive manufacturing. Additive manufacturing. 88. 104266–104266. 10 indexed citations
4.
He, Junyan, Deepankar Pal, Ali Najafi, et al.. (2024). Material-Response-Informed DeepONet and Its Application to Polycrystal Stress–Strain Prediction in Crystal Plasticity. JOM. 76(10). 5744–5754. 2 indexed citations
5.
He, Junyan, Diab Abueidda, Rashid K. Abu Al‐Rub, Seid Korić, & Iwona Jasiuk. (2023). A deep learning energy-based method for classical elastoplasticity. International Journal of Plasticity. 162. 103531–103531. 48 indexed citations
7.
He, Junyan, et al.. (2023). Designing impact-resistant bio-inspired low-porosity structures using neural networks. Journal of Materials Research and Technology. 27. 767–779. 5 indexed citations
8.
He, Junyan, et al.. (2023). Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads. Engineering Applications of Artificial Intelligence. 127. 107258–107258. 50 indexed citations
9.
He, Junyan, et al.. (2023). Size-dependence of AM Ti–6Al–4V: Experimental characterization and applications in thin-walled structures simulations. Thin-Walled Structures. 187. 110722–110722. 15 indexed citations
10.
He, Junyan, et al.. (2023). Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads. Computer Methods in Applied Mechanics and Engineering. 415. 116277–116277. 53 indexed citations
11.
He, Junyan, et al.. (2023). Improving the accuracy of the deep energy method. Acta Mechanica. 234(12). 5975–5998. 11 indexed citations
12.
Zhou, Wei, et al.. (2022). Effect of pH and Ionic Strength on the Pickering Emulsion Stability of Bagasse Nanocellulose. SHILAP Revista de lepidopterología. 2 indexed citations
13.
He, Junyan, Diab Abueidda, Seid Korić, & Iwona Jasiuk. (2022). On the use of graph neural networks and shape‐function‐based gradient computation in the deep energy method. International Journal for Numerical Methods in Engineering. 124(4). 864–879. 31 indexed citations
14.
Joshi, Himanshu, et al.. (2022). A finite deformation theory for grain boundary plasticity based on geometrically necessary disconnections. Journal of the Mechanics and Physics of Solids. 167. 104949–104949. 10 indexed citations
15.
He, Junyan, et al.. (2022). LatticeOPT: a heuristic topology optimization framework for thin-walled, 2D extruded lattices. Structural and Multidisciplinary Optimization. 65(11). 4 indexed citations
16.
He, Junyan, et al.. (2021). Polycrystal plasticity with grain boundary evolution: a numerically efficient dislocation-based diffuse-interface model. Modelling and Simulation in Materials Science and Engineering. 30(2). 25006–25006. 9 indexed citations
17.
He, Junyan, et al.. (2021). The Effect of Impact Angle and Fall Height on Skull Fracture Patterns in Infants. Journal of Biomechanical Engineering. 143(7). 6 indexed citations
18.
He, Junyan, et al.. (2020). An adaptive-remeshing framework to predict impact-induced skull fracture in infants. Biomechanics and Modeling in Mechanobiology. 19(5). 1595–1605. 13 indexed citations
19.
He, Junyan, et al.. (2009). Separation of myoglobin from tilapia by ammonium sulfate salting-out.. Nanfang shuichan. 5(2). 17–22. 1 indexed citations
20.
Shuxian, Hao, Laihao Li, Xianqing Yang, et al.. (2008). The characteristics of gelatin extracted from sturgeon (Acipenser baeri) skin using various pretreatments. Food Chemistry. 115(1). 124–128. 41 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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