Jiangtao Di

6.8k total citations · 1 hit paper
102 papers, 4.7k citations indexed

About

Jiangtao Di is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jiangtao Di has authored 102 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Biomedical Engineering, 40 papers in Mechanical Engineering and 35 papers in Electrical and Electronic Engineering. Recurrent topics in Jiangtao Di's work include Advanced Sensor and Energy Harvesting Materials (47 papers), Advanced Materials and Mechanics (32 papers) and Supercapacitor Materials and Fabrication (31 papers). Jiangtao Di is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (47 papers), Advanced Materials and Mechanics (32 papers) and Supercapacitor Materials and Fabrication (31 papers). Jiangtao Di collaborates with scholars based in China, United States and Australia. Jiangtao Di's co-authors include Qingwen Li, Zhenzhong Yong, Ray H. Baughman, Minghai Chen, Xiaona Wang, Sha Zeng, Xiaohua Zhang, Yongyi Zhang, Da Li and Jian Qiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nano Letters.

In The Last Decade

Jiangtao Di

100 papers receiving 4.6k 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.

Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles

2024 92 citations Ming Ren, Jiangtao Di et al. Proceedings of the National Academy of Sciences profile →

Peers

Jiangtao Di

BE

EEE

ME

EOMM

MC

Conghua Lu China

Márcio D. Lima United States

Xavier Lepró United States

Yibin Li China

Zheling Li United Kingdom

Yonggang Min China

Yuanyuan Shang China

Renbo Wei China

Youngseok Oh South Korea

Xinlei Shi China

Conghua Lu China

Jiangtao Di

1.8k ×0.9

BE

1.1k ×0.6

EEE

1.0k ×0.8

ME

1.1k ×0.8

EOMM

1.2k ×0.9

MC

Citations per year, relative to Jiangtao Di Jiangtao Di (= 1×) peers Conghua Lu

Countries citing papers authored by Jiangtao Di

Since Specialization

Citations

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

Fields of papers citing papers by Jiangtao Di

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangtao Di

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhao, Zenghui, et al.. (2025). Electrothermally‐Driven Carbon Nanotube Fiber Artificial Muscle With Endomysium‐Inspired Sheath and Multifilament Core. Small. 21(10). e2407641–e2407641. 2 indexed citations

2.

Jiao, Binglei, Xingyu Guo, Shengming Li, et al.. (2024). Retrieving lost Li in LIBs for co-regeneration of spent anode and cathode materials. Energy storage materials. 72. 103684–103684. 17 indexed citations

3.

Meunier, Vincent, George Bepete, Mao‐Sheng Cao, et al.. (2024). Carbon science perspective in 2024: Current research and future challenges. Carbon. 229. 119488–119488. 13 indexed citations

4.

Gong, Qian, Yingying Yu, Xiaolong Lu, et al.. (2024). Robust and Versatile Heterostructured Carbon Nanocomposites with Diverse Adaptability to Harsh Environments. Advanced Functional Materials. 34(44). 4 indexed citations

5.

Dong, Lizhong, Ming Ren, Yulian Wang, et al.. (2024). Sodium alginate-based coaxial fibers synergistically integrate moisture actuation, length tracing, humidity sensing, and electric heating. Materials Horizons. 11(19). 4769–4780. 9 indexed citations

6.

Yang, Guang, Lizhong Dong, Ming Ren, et al.. (2024). Coiled Carbon Nanotube Fibers Sheathed by a Reinforced Liquid Crystal Elastomer for Strong and Programmable Artificial Muscles. Nano Letters. 24(31). 9608–9616. 14 indexed citations

7.

Gong, Qian, Jingyun Zou, Ming Ren, et al.. (2023). Vertical two‐dimensional WS ₂ flakes grown on flexible CNT film for excellent electrochemical performance. Rare Metals. 43(1). 164–174. 4 indexed citations

8.

Hu, Xinghao, Hong Li, Jian Wang, et al.. (2023). Multi‐Stimuli, Large‐Stroke Hybrid Carbon Fiber‐Based Artificial Muscles. Macromolecular Materials and Engineering. 309(1). 3 indexed citations

9.

Cui, Bo, Ming Ren, Lizhong Dong, et al.. (2023). Pretension-Free and Self-Recoverable Coiled Artificial Muscle Fibers with Powerful Cyclic Work Capability. ACS Nano. 17(13). 12809–12819. 63 indexed citations

10.

Dong, Lizhong, Ming Ren, Yulian Wang, et al.. (2022). Artificial neuromuscular fibers by multilayered coaxial integration with dynamic adaption. Science Advances. 8(46). eabq7703–eabq7703. 63 indexed citations

11.

Ren, Ming, Panpan Xu, Yurong Zhou, et al.. (2022). Stepwise Artificial Yarn Muscles with Energy-Free Catch States Driven by Aluminum-Ion Insertion. ACS Nano. 16(10). 15850–15861. 31 indexed citations

12.

Ren, Ming, Jiangtao Di, & Wei Chen. (2021). Recent Progress and Application Challenges of Wearable Supercapacitors. Batteries & Supercaps. 4(8). 1279–1290. 46 indexed citations

13.

Gong, Qian, Yingying Yu, Lixing Kang, et al.. (2021). Modulus‐Tailorable, Stretchable, and Biocompatible Carbonene Fiber for Adaptive Neural Electrode. Advanced Functional Materials. 32(11). 23 indexed citations

14.

Yang, Wei, Wenbin Gong, Yanhong Shi, et al.. (2021). PtNiFe nanoalloys with co-existence of energy-optimized active surfaces for synergistic catalysis of oxygen reduction and evolution. Journal of Materials Chemistry A. 9(29). 16187–16195. 11 indexed citations

15.

Shi, Yanhong, Wei Yang, Wenbin Gong, et al.. (2021). Interconnected surface-vacancy-rich PtFe nanowires for efficient oxygen reduction. Journal of Materials Chemistry A. 9(21). 12845–12852. 27 indexed citations

16.

Di, Jiangtao, et al.. (2021). A structure evolution mechanism for the modulus loss in electromechanical response of carbon nanotube fiber. Carbon. 185. 289–299. 6 indexed citations

17.

Dong, Lizhong, Ming Ren, Yulian Wang, et al.. (2021). Self-sensing coaxial muscle fibers with bi-lengthwise actuation. Materials Horizons. 8(9). 2541–2552. 53 indexed citations

18.

Wang, Yulian, Jian Qiao, Kunjie Wu, et al.. (2020). High-twist-pervaded electrochemical yarn muscles with ultralarge and fast contractile actuations. Materials Horizons. 7(11). 3043–3050. 49 indexed citations

19.

Li, Min, Qian Gong, Pei Cao, et al.. (2020). Rational and wide-range tuning of CNT aerogel conductors with multifunctionalities. Nanoscale. 12(25). 13771–13780. 8 indexed citations

20.

Haines, Carter S., Na Li, Geoffrey M. Spinks, et al.. (2016). New twist on artificial muscles. Proceedings of the National Academy of Sciences. 113(42). 11709–11716. 287 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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