Zihu Wang

917 total citations · 2 hit papers
13 papers, 693 citations indexed

About

Zihu Wang is a scholar working on Biomedical Engineering, Polymers and Plastics and Electrical and Electronic Engineering. According to data from OpenAlex, Zihu Wang has authored 13 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 8 papers in Polymers and Plastics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Zihu Wang's work include Advanced Sensor and Energy Harvesting Materials (10 papers), Conducting polymers and applications (7 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Zihu Wang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (10 papers), Conducting polymers and applications (7 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Zihu Wang collaborates with scholars based in China. Zihu Wang's co-authors include Dongzhi Zhang, Ruiyuan Mao, Yanhua Ma, Huixin Luan, Mingcong Tang, Dongyue Wang, Haolin Cai, Hao Zhang, Zhenyuan Xu and Guangshuai Xi and has published in prestigious journals such as Langmuir, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Zihu Wang

13 papers receiving 678 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ultrastretchable, Self-Healing Conductive Hydrogel-Based Triboelectric Nanogenerators for Human–Computer Interaction

2023 225 citations Hao Zhang, Dongzhi Zhang et al. ACS Applied Materials & Interfaces profile →
An artificial intelligence-assisted microfluidic colorimetric wearable sensor system for monitoring of key tear biomarkers

2024 65 citations Zihu Wang, Yan Dong et al. npj Flexible Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zihu Wang China	12	559	274	233	127	85	13	693
Huixin Luan China	8	568 1.0×	285 1.0×	186 0.8×	132 1.0×	106 1.2×	8	658
Yanhua Ma China	8	471 0.8×	224 0.8×	161 0.7×	89 0.7×	72 0.8×	8	540
Haolin Cai China	12	490 0.9×	271 1.0×	160 0.7×	77 0.6×	85 1.0×	12	572
Chunqing Yang China	12	633 1.1×	298 1.1×	378 1.6×	187 1.5×	99 1.2×	18	825
Young Jin Jo South Korea	10	402 0.7×	261 1.0×	215 0.9×	120 0.9×	47 0.6×	17	630
Fu‐Lin Gao China	11	508 0.9×	226 0.8×	203 0.9×	174 1.4×	101 1.2×	14	747
Mingliang Yao China	6	692 1.2×	361 1.3×	382 1.6×	109 0.9×	124 1.5×	8	797
Fengling Zhuo China	12	552 1.0×	220 0.8×	195 0.8×	74 0.6×	119 1.4×	19	626
Adeela Hanif South Korea	11	535 1.0×	260 0.9×	349 1.5×	111 0.9×	78 0.9×	17	724
Jinzheng Yang China	12	459 0.8×	219 0.8×	264 1.1×	226 1.8×	99 1.2×	15	629

Countries citing papers authored by Zihu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zihu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihu Wang

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

All Works

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13 of 13 papers shown

Xu, Zhenyuan, Zihu Wang, Jun Wang, et al.. (2025). A multi-indicator pulse monitoring system based on an ultra-sensitive and stable self-powered wearable triboelectric sensor with assistance of personalized deep learning. Nano Energy. 140. 111039–111039. 5 indexed citations

Wang, Dongyue, Dongzhi Zhang, Hao Zhang, et al.. (2024). Quantitative detection of multi-component chemical gas via MXene-based sensor array driven by triboelectric nanogenerators with CNN-GRU model. Sensors and Actuators B Chemical. 417. 136101–136101. 22 indexed citations

Dong, Yan, et al.. (2024). An Artificial Intelligence-Assisted Flexible and Wearable Mechanoluminescent Strain Sensor System. Nano-Micro Letters. 17(1). 62–62. 25 indexed citations

Wang, Zihu, Yan Dong, Xingyan Shao, et al.. (2024). An artificial intelligence-assisted microfluidic colorimetric wearable sensor system for monitoring of key tear biomarkers. npj Flexible Electronics. 8(1). 65 indexed citations breakdown →

Wang, Jianghao, Dongzhi Zhang, Yonghai Gao, et al.. (2023). Fast-response hydrogen sulfide gas sensor based on electrospinning Co3O4 nanofibers-modified CuO nanoflowers: Experimental and DFT calculation. Sensors and Actuators B Chemical. 396. 134579–134579. 63 indexed citations

Mao, Ruiyuan, Dongzhi Zhang, Zihu Wang, et al.. (2023). Deep-learning-assisted low-cost flexible cotton yarn-based triboelectric nanogenerator for ultra-sensitive human-computer merging interfaces. Nano Energy. 111. 108418–108418. 61 indexed citations

Zhang, Dongzhi, Zhenyuan Xu, Zihu Wang, et al.. (2023). Machine-learning-assisted wearable PVA/Acrylic fluorescent layer-based triboelectric sensor for motion, gait and individual recognition. Chemical Engineering Journal. 478. 147075–147075. 25 indexed citations

Zhang, Dongzhi, et al.. (2023). Ppb-level detection of trimethylamine as biomarker in exhaled gas based on MoO3/V2O5 hierarchical heterostructure. Journal of Alloys and Compounds. 968. 172104–172104. 25 indexed citations

Zhang, Dongzhi, Huixin Luan, Zihu Wang, et al.. (2023). Multifunctional, Self-Adhesive MXene-Based Hydrogel Flexible Strain Sensors for Hand-Written Digit Recognition with Assistance of Deep Learning. Langmuir. 39(45). 16199–16207. 11 indexed citations

10.

Zhang, Hao, Zihu Wang, Haolin Cai, et al.. (2023). MXene/PPy@PDMS sponge-based flexible pressure sensor for human posture recognition with the assistance of a convolutional neural network in deep learning. Microsystems & Nanoengineering. 9(1). 155–155. 56 indexed citations

11.

Zhang, Hao, Dongzhi Zhang, Zihu Wang, et al.. (2023). Ultrastretchable, Self-Healing Conductive Hydrogel-Based Triboelectric Nanogenerators for Human–Computer Interaction. ACS Applied Materials & Interfaces. 15(4). 5128–5138. 225 indexed citations breakdown →

12.

Wang, Jun, Dongzhi Zhang, Dongyue Wang, et al.. (2023). Efficient Fabrication of TPU/MXene/Tungsten Disulfide Fibers with Ultra-Fast Response for Human Respiratory Pattern Recognition and Disease Diagnosis via Deep Learning. ACS Applied Materials & Interfaces. 15(31). 37946–37956. 19 indexed citations

13.

Ma, Yanhua, Dongzhi Zhang, Zihu Wang, et al.. (2023). Self-Adhesive, Anti-Freezing MXene-Based Hydrogel Strain Sensor for Motion Monitoring and Handwriting Recognition with Deep Learning. ACS Applied Materials & Interfaces. 15(24). 29413–29424. 91 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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