Jingjin He

596 total citations
18 papers, 444 citations indexed

About

Jingjin He is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Jingjin He has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 7 papers in Electronic, Optical and Magnetic Materials and 5 papers in Biomedical Engineering. Recurrent topics in Jingjin He's work include Ferroelectric and Piezoelectric Materials (11 papers), Machine Learning in Materials Science (6 papers) and Multiferroics and related materials (6 papers). Jingjin He is often cited by papers focused on Ferroelectric and Piezoelectric Materials (11 papers), Machine Learning in Materials Science (6 papers) and Multiferroics and related materials (6 papers). Jingjin He collaborates with scholars based in China, United States and Germany. Jingjin He's co-authors include Yang Bai, Lijie Qiao, Yanjing Su, Chuanbao Liu, Turab Lookman, Yuxuan Hou, Dezhen Xue, Junjie Li, Chengye Yu and Jiangli Cao and has published in prestigious journals such as Advanced Functional Materials, Acta Materialia and Chemical Engineering Journal.

In The Last Decade

Jingjin He

17 papers receiving 437 citations

Peers

Jingjin He
Yanli Nan China
Didik Aryanto Indonesia
Jingjin He
Citations per year, relative to Jingjin He Jingjin He (= 1×) peers Peipei Gao

Countries citing papers authored by Jingjin He

Since Specialization
Citations

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

Fields of papers citing papers by Jingjin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjin He

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

All Works

18 of 18 papers shown
1.
Jiang, Xue, Huadong Fu, Yang Bai, et al.. (2025). Interpretable Machine Learning Applications: A Promising Prospect of AI for Materials. Advanced Functional Materials. 35(41). 10 indexed citations
2.
Gan, Mengdi, Xiaoyu Chong, Qianqian Jin, et al.. (2025). Enhancing high-temperature phase stability and thermal properties of 5RE(TaxNb1-x)O4 high-entropy ceramics through chemical bonding strength optimization. Chemical Engineering Journal. 519. 164894–164894. 2 indexed citations
3.
He, Jingjin, et al.. (2025). Accelerated Multi‐Property Screening of Lead‐Free Halide Double Perovskite via Transfer Learning. Advanced Functional Materials. 36(2). 1 indexed citations
4.
Gan, Mengdi, Jiankun Wang, Jun Wang, et al.. (2024). Suppressing the oxygen-ionic conductivity and promoting the phase stability of the high-entropy rare earth niobates via Ta substitution. Journal of Material Science and Technology. 209. 79–94. 29 indexed citations
5.
He, Jingjin, Ruowei Yin, Changxin Wang, et al.. (2024). Compositional design of compounds with elements not in training data using supervised learning. Journal of Materiomics. 11(3). 100913–100913.
6.
Yu, Chengye, Jingjin He, Mengxi Tan, et al.. (2023). Selective Enhancement of Photo‐Piezocatalytic Performance in BaTiO3 via Heterovalent Ion Doping. Advanced Functional Materials. 33(44). 5 indexed citations
7.
He, Jingjin, Changxin Wang, Junjie Li, et al.. (2023). Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics. Journal of Advanced Ceramics. 12(9). 1793–1804. 14 indexed citations
8.
Yang, Chao, Mingyu Hu, Wei Yu, et al.. (2023). Accelerating the Discovery of Hybrid Perovskites with Targeted Band Gaps via Interpretable Machine Learning. ACS Applied Materials & Interfaces. 15(34). 40419–40427. 27 indexed citations
9.
Li, Zhonghua, Hong‐Hui Wu, Junjie Li, et al.. (2022). Effects of thermal and electrical hysteresis on phase transitions and electrocaloric effect in ferroelectrics: A computational study. Acta Materialia. 228. 117784–117784. 4 indexed citations
10.
Yu, Chengye, Jingjin He, Mengxi Tan, et al.. (2022). Selective Enhancement of Photo‐Piezocatalytic Performance in BaTiO3 Via heterovalent Ion Doping. Advanced Functional Materials. 32(52). 136 indexed citations
11.
He, Jingjin, Xiaopo Su, Changxin Wang, et al.. (2022). Machine learning assisted predictions of multi-component phase diagrams and fine boundary information. Acta Materialia. 240. 118341–118341. 37 indexed citations
12.
He, Jingjin, Xiaopo Su, Changxin Wang, et al.. (2022). Machine Learning Assisted Predictions of Multi-Component Phase Diagrams and Fine Boundary Information. SSRN Electronic Journal. 2 indexed citations
13.
Yuan, Ruihao, Zhen Liu, Ruowei Yin, et al.. (2022). Optimizing Electrocaloric Effect in Barium Titanate-based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis. Acta Materialia. 235. 118054–118054. 24 indexed citations
14.
He, Jingjin, Chengye Yu, Yuxuan Hou, et al.. (2022). Accelerated discovery of high-performance piezocatalyst in BaTiO3-based ceramics via machine learning. Nano Energy. 97. 107218–107218. 52 indexed citations
15.
Liu, Chuanbao, Jingjin He, Ji Zhou, et al.. (2021). Broadband, High‐Efficiency and Wide‐Incident‐Angle Anomalous Reflection in Groove Metagratings. Annalen der Physik. 533(9). 8 indexed citations
16.
Li, Junjie, Zhonghua Li, Jingjin He, et al.. (2021). Near‐Room‐Temperature Large Electrocaloric Effect in Barium Titanate Single Crystal Based on the Electric Field–Temperature Phase Diagram. physica status solidi (RRL) - Rapid Research Letters. 15(8). 17 indexed citations
17.
He, Jingjin, Junjie Li, Chuanbao Liu, et al.. (2021). Machine learning identified materials descriptors for ferroelectricity. Acta Materialia. 209. 116815–116815. 72 indexed citations
18.
Wang, Fang, Yang Liu, Jiahua Duan, et al.. (2019). Temperature-electric field hysteresis loop of multicaloric effects in PbZr0.8Ti0.2O3 thin films. Physics Letters A. 383(24). 2933–2937. 4 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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