Zichen Wang

2.9k total citations · 1 hit paper
106 papers, 2.3k citations indexed

About

Zichen Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zichen Wang has authored 106 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Molecular Biology. Recurrent topics in Zichen Wang's work include Electrical and Bioimpedance Tomography (15 papers), Advancements in Battery Materials (10 papers) and Advanced Battery Materials and Technologies (8 papers). Zichen Wang is often cited by papers focused on Electrical and Bioimpedance Tomography (15 papers), Advancements in Battery Materials (10 papers) and Advanced Battery Materials and Technologies (8 papers). Zichen Wang collaborates with scholars based in China, United States and Singapore. Zichen Wang's co-authors include Xiong Wen Lou, Zhiyu Wang, Wenxiu Yang, Qiang Sun, Jinhui Zhou, Weiyu Zhang, Fan Lv, Shuo Wang, Shaojun Guo and Wenting Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zichen Wang

90 papers receiving 2.2k citations

Hit Papers

Freestanding film made by necklace-like N-doped hollow ca... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zichen Wang China 24 1.5k 723 465 299 209 106 2.3k
Jianwei Zhao China 34 2.0k 1.4× 750 1.0× 784 1.7× 417 1.4× 291 1.4× 118 3.8k
Tingting Su China 30 776 0.5× 628 0.9× 511 1.1× 179 0.6× 365 1.7× 130 2.9k
Lina Xu China 28 1.5k 1.0× 627 0.9× 1.1k 2.5× 347 1.2× 410 2.0× 150 3.3k
Liang Fu China 23 1.7k 1.2× 474 0.7× 228 0.5× 180 0.6× 187 0.9× 105 2.5k
Yanyan Shao China 24 1.4k 0.9× 899 1.2× 423 0.9× 152 0.5× 239 1.1× 61 2.6k
Guolong Li China 25 1.4k 0.9× 516 0.7× 392 0.8× 238 0.8× 209 1.0× 123 2.6k
Haiqing Liu China 27 1.3k 0.9× 160 0.2× 409 0.9× 365 1.2× 377 1.8× 93 2.4k
Honghai Wang China 33 1.5k 1.0× 260 0.4× 622 1.3× 713 2.4× 691 3.3× 220 3.8k
Jianhua Li China 27 796 0.5× 541 0.7× 1.1k 2.4× 211 0.7× 572 2.7× 133 2.6k
Yadi Liu China 24 809 0.5× 177 0.2× 515 1.1× 400 1.3× 239 1.1× 106 1.9k

Countries citing papers authored by Zichen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zichen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zichen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zichen Wang. A scholar is included among the top collaborators of Zichen Wang 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 Zichen Wang. Zichen Wang 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.
Wang, Zichen, et al.. (2026). Unsupervised Sensitivity Prior Generation With Diffusion Model for EIT Image Reconstruction. IEEE Transactions on Industrial Informatics. 1–12.
2.
Zhang, Shuoning, Zichen Wang, Shengyu Qin, et al.. (2025). Ultrastable Gel Polymer Lithium Metal Batteries With Novel Nitro‐Substituted Hexafluoride SEI‐Forming Additive. Battery energy. 4(5).
3.
Wang, Zichen, et al.. (2025). A novel two-dimensional metal imidazolate sulphate framework as a versatile platform for enzyme immobilization. International Journal of Biological Macromolecules. 310(Pt 4). 143650–143650. 1 indexed citations
4.
L, Liu, Zichen Wang, Hua Zhang, et al.. (2024). Synergy of diazotrophs with native soil microbes improves poplar traits. Industrial Crops and Products. 224. 120311–120311.
5.
Wang, Zichen, et al.. (2024). Fine-Grained Prototypes Distillation for Few-Shot Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5859–5866. 27 indexed citations
6.
Kuang, Geling, Zichen Wang, Muhammad Bilal, et al.. (2024). Metal‐Organic Frameworks: A Potential Platform From Enzyme Immobilization to Mimetic Enzyme. SHILAP Revista de lepidopterología. 6(3). 14 indexed citations
7.
Xia, Yuzhen, et al.. (2023). Study on transport phenomena and performance of proton exchange membrane fuel cell with radial flow fields. Engineering Applications of Computational Fluid Mechanics. 17(1). 14 indexed citations
8.
Qin, Shengyu, Zichen Wang, Yunxiao Ren, et al.. (2023). A meltblown cloth reinforced partially fluorinated solid polymer electrolyte for ultrastable lithium metal batteries. Nano Energy. 119. 109075–109075. 35 indexed citations
9.
Wang, Zichen, et al.. (2023). Electrical Impedance Tomography Image Reconstruction With Attention-Based Deep Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 72. 1–18. 24 indexed citations
11.
Wang, Zichen, et al.. (2023). Enzyme hybrid nanoflowers and enzyme@metal–organic frameworks composites: fascinating hybrid nanobiocatalysts. Critical Reviews in Biotechnology. 44(4). 674–697. 56 indexed citations
12.
Zhang, Baojie, Zichen Wang, Xiaoyan Chen, et al.. (2023). HybridDenseU-Net: learning a multi-scale convolution and dense connectivity CNN for inverse imaging problems. Measurement Science and Technology. 35(3). 35404–35404. 5 indexed citations
13.
Wang, Qian, Xiaoyan Chen, Zichen Wang, et al.. (2023). Regularization Solver Guided FISTA for Electrical Impedance Tomography. Sensors. 23(4). 2233–2233. 8 indexed citations
14.
Chen, Xiaoyan, et al.. (2023). HAM-Transformer: A Hybrid Adaptive Multi-Scaled Transformer Net for Remote Sensing in Complex Scenes. Remote Sensing. 15(19). 4817–4817. 4 indexed citations
15.
Wang, Zichen, Yingjie Du, Geling Kuang, et al.. (2022). Glutamate Oxidase-Integrated Biomimetic Metal–Organic Framework Hybrids as Cascade Nanozymes for Ultrasensitive Glutamate Detection. Journal of Agricultural and Food Chemistry. 70(12). 3785–3794. 41 indexed citations
17.
Fu, Rong, et al.. (2022). A Regularization-Guided Deep Imaging Method for Electrical Impedance Tomography. IEEE Sensors Journal. 22(9). 8760–8771. 23 indexed citations
18.
Zhang, Xinyu, Zichen Wang, Rong Fu, et al.. (2022). V-Shaped Dense Denoising Convolutional Neural Network for Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 40 indexed citations
19.
Chen, Xiaoyan, et al.. (2021). Deep Autoencoder Imaging Method for Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 30 indexed citations
20.
Wang, Zichen, et al.. (2017). Assessment of the flight ability of four Trichogramma species and the dispersal of T. japonicum in rice field.. Journal of Biological Control. 33(1). 26–31. 1 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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