Jiaqi Tu

675 total citations · 1 hit paper
19 papers, 518 citations indexed

About

Jiaqi Tu is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Jiaqi Tu has authored 19 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Cognitive Neuroscience and 4 papers in Mechanical Engineering. Recurrent topics in Jiaqi Tu's work include Tactile and Sensory Interactions (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jiaqi Tu is often cited by papers focused on Tactile and Sensory Interactions (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jiaqi Tu collaborates with scholars based in China, Singapore and Switzerland. Jiaqi Tu's co-authors include Xiaodong Chen, Ke He, Zhiyuan Liu, Ming Wang, Liang Pan, Zequn Cui, Zheng Li, Wenlong Li, Ting Wang and Yifei Luo and has published in prestigious journals such as Chemical Reviews, Advanced Materials and ACS Nano.

In The Last Decade

Jiaqi Tu

16 papers receiving 507 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.

Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots

2025 22 citations Jiangtao Su, Ke He et al. Chemical Reviews profile →

Peers

Jiaqi Tu

EEE

EOMM

Parag Parashar Taiwan

Kangyu Jia China

Liting Yin China

Maoyi Zhang China

Qiqi Pan Hong Kong

Hasan Shahariar United States

Jari Hannu Finland

Siyuan Yao China

Yunhao Hu China

Lina Castano United States

Parag Parashar Taiwan

Jiaqi Tu

307 ×1.0

102 ×0.7

EEE

75 ×0.6

101 ×1.0

EOMM

162 ×1.6

Citations per year, relative to Jiaqi Tu Jiaqi Tu (= 1×) peers Parag Parashar

Countries citing papers authored by Jiaqi Tu

Since Specialization

Citations

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

Fields of papers citing papers by Jiaqi Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqi Tu

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

All Works

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19 of 19 papers shown

Tu, Jiaqi, Zheren Cai, Zhiyuan Liu, et al.. (2025). Quantitative Tactile Sensing of Surface Microstructures Through Time‐Domain Analysis of Piezoelectric Twin Signals. Advanced Materials. 38(2). e10393–e10393.

Zhu, Li, et al.. (2025). Non-contact vibration displacement measurement method for railway bridges based on computer vision. Structures. 80. 109803–109803.

Su, Jiangtao, Ke He, Yanzhen Li, Jiaqi Tu, & Xiaodong Chen. (2025). Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots. Chemical Reviews. 125(12). 5848–5977. 22 indexed citations breakdown →

Shen, Changxian, Yanfei Wu, Jiaqi Tu, et al.. (2025). Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma. Journal Of Big Data. 12(1). 1 indexed citations

Wu, Yanfei, Na Wang, Jiaqi Tu, et al.. (2025). Deep learning-based radiomics and machine learning for prognostic assessment in IDH-wildtype glioblastoma after maximal safe surgical resection: a multicenter study. International Journal of Surgery. 111(7). 4576–4585. 1 indexed citations

Su, Jiangtao, Hang Zhang, Haicheng Li, et al.. (2024). Skin‐Inspired Multi‐Modal Mechanoreceptors for Dynamic Haptic Exploration. Advanced Materials. 36(21). e2311549–e2311549. 27 indexed citations

He, Xuecheng, Zequn Cui, Feilong Zhang, et al.. (2024). Multiscale Heterogeneities-Based Piezoresistive Interfaces with Ultralow Detection Limitation and Adaptively Switchable Pressure Detectability. ACS Nano. 18(11). 8296–8306. 11 indexed citations

Tu, Jiaqi, Chao Li, Yucheng Lu, et al.. (2024). Prognostic Assessment in Patients With Primary Diffuse Large B‐Cell Lymphoma of the Central Nervous System Using MRI‐Based Radiomics. Journal of Magnetic Resonance Imaging. 61(3). 1142–1152.

Zhang, Hengheng, Qiuyue Zhang, Jiaqi Tu, Qidong You, & Lei Wang. (2023). Dual function of protein phosphatase 5 (PPP5C): An emerging therapeutic target for drug discovery. European Journal of Medicinal Chemistry. 254. 115350–115350. 6 indexed citations

10.

Tu, Jiaqi, Ming Wang, Wenlong Li, et al.. (2023). Electronic skins with multimodal sensing and perception. DR-NTU (Nanyang Technological University). 3(3). 28 indexed citations

11.

Wang, Ming, Jiaqi Tu, Zhangcheng Huang, et al.. (2022). Tactile Near‐Sensor Analogue Computing for Ultrafast Responsive Artificial Skin. Advanced Materials. 34(34). e2201962–e2201962. 101 indexed citations

12.

Cui, Zequn, Wensong Wang, Huarong Xia, et al.. (2022). Freestanding and Scalable Force‐Softness Bimodal Sensor Arrays for Haptic Body‐Feature Identification. Advanced Materials. 34(47). e2207016–e2207016. 44 indexed citations

13.

Chen, Rui, Xiangfeng Wang, Bo Jin, et al.. (2022). CLD-Net: Complement Local Detail For Medical Small-Object Segmentation. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 942–947. 4 indexed citations

14.

Wang, Ming, Ting Wang, Yifei Luo, et al.. (2021). Fusing Stretchable Sensing Technology with Machine Learning for Human–Machine Interfaces. Advanced Functional Materials. 31(39). 128 indexed citations

15.

Guang, Liu, Jiaqi Tu, Chen Wu, et al.. (2021). High-Yield Two-Dimensional Metal–Organic Framework Derivatives for Wideband Electromagnetic Wave Absorption. ACS Applied Materials & Interfaces. 13(17). 20459–20466. 92 indexed citations

16.

Tu, Jiaqi, Zhifeng Tang, Chung‐Bang Yun, Jian Wu, & Xian Xu. (2021). Guided wave‐based damage assessment on welded steel I‐beam under ambient temperature variations. Structural Control and Health Monitoring. 28(4). 15 indexed citations

17.

Xu, Xian, et al.. (2020). Research on a New Class of Planar Tensegrity Trusses Consisting of Repetitive Units. International Journal of Steel Structures. 20(5). 1582–1595. 4 indexed citations

18.

Xu, Xian, et al.. (2019). Experimental study on self-centering link beams using post-tensioned steel-SMA composite tendons. Journal of Constructional Steel Research. 155. 121–128. 30 indexed citations

19.

Lin, Lanfen, et al.. (2017). A novel confidence estimation method for heterogeneous implicit feedback. Frontiers of Information Technology & Electronic Engineering. 18(11). 1817–1827. 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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