Jianshi Tang

17.4k total citations · 11 hit papers
217 papers, 13.2k citations indexed

About

Jianshi Tang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Jianshi Tang has authored 217 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Electrical and Electronic Engineering, 45 papers in Atomic and Molecular Physics, and Optics and 44 papers in Materials Chemistry. Recurrent topics in Jianshi Tang's work include Advanced Memory and Neural Computing (140 papers), Ferroelectric and Negative Capacitance Devices (99 papers) and Semiconductor materials and devices (59 papers). Jianshi Tang is often cited by papers focused on Advanced Memory and Neural Computing (140 papers), Ferroelectric and Negative Capacitance Devices (99 papers) and Semiconductor materials and devices (59 papers). Jianshi Tang collaborates with scholars based in China, United States and Taiwan. Jianshi Tang's co-authors include Huaqiang Wu, Bin Gao, He Qian, Peng Yao, Wenqiang Zhang, Kang L. Wang, Qingtian Zhang, J. Joshua Yang, Murong Lang and Xinyi Li and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Jianshi Tang

203 papers receiving 12.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Fully hardware-implemented memristor convolutional neural network

2020 1.6k citations Peng Yao, Huaqiang Wu et al. profile →
Switching of perpendicular magnetization by spin–orbit torques in the absence of external magnetic fields

2014 797 citations Yabin Fan, Li‐Te Chang et al. profile →
Magnetization switching through giant spin–orbit torque in a magnetically doped topological insulator heterostructure

2014 715 citations Yabin Fan, Xufeng Kou et al. profile →
Neuro-inspired computing chips

2020 652 citations Wenqiang Zhang, Bin Gao et al. Nature Electronics profile →
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

2019 640 citations Jianshi Tang, Xinyi Li et al. profile →
Scale-Invariant Quantum Anomalous Hall Effect in Magnetic Topological Insulators beyond the Two-Dimensional Limit

2014 449 citations Xufeng Kou, Yabin Fan et al. profile →
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing

2021 428 citations Jianshi Tang, Xinyi Li et al. Nature Communications profile →
Edge learning using a fully integrated neuro-inspired memristor chip

2023 230 citations Peng Yao, Bin Gao et al. Science profile →
A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing

2022 221 citations Jianshi Tang, Xinyi Li et al. Nature Electronics profile →
Physical reservoir computing with emerging electronics

2024 101 citations Jianshi Tang, Bin Gao et al. Nature Electronics profile →
A memristor-based adaptive neuromorphic decoder for brain–computer interfaces

2025 27 citations Zhengwu Liu, Jianshi Tang et al. Nature Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianshi Tang China	54	8.9k	3.7k	3.5k	2.4k	2.0k	217	13.2k
Massimiliano Di Ventra United States	58	10.9k 1.2×	3.2k 0.9×	5.0k 1.4×	2.2k 0.9×	1.2k 0.6×	267	15.5k
Julie Grollier France	42	5.9k 0.7×	2.0k 0.5×	5.2k 1.5×	815 0.3×	1.8k 0.9×	131	9.8k
Jin‐Hong Park South Korea	57	7.2k 0.8×	6.0k 1.6×	1.4k 0.4×	1.3k 0.6×	689 0.3×	304	11.3k
Suman Datta United States	68	15.6k 1.7×	5.5k 1.5×	1.8k 0.5×	492 0.2×	1.1k 0.5×	514	18.1k
Hyunsang Hwang South Korea	57	13.4k 1.5×	3.8k 1.0×	604 0.2×	4.0k 1.7×	1.2k 0.6×	424	14.3k
Huaqiang Wu China	60	14.8k 1.7×	2.2k 0.6×	688 0.2×	5.3k 2.2×	3.1k 1.6×	299	16.3k
Peng Zhou China	70	12.0k 1.3×	8.4k 2.2×	962 0.3×	2.9k 1.2×	1.1k 0.6×	373	16.8k
Xiangshui Miao China	47	6.9k 0.8×	5.3k 1.4×	865 0.2×	1.3k 0.5×	478 0.2×	305	9.0k
Abu Sebastian Switzerland	46	10.3k 1.1×	3.1k 0.8×	2.0k 0.6×	2.2k 0.9×	2.9k 1.5×	224	12.7k
Duncan R. Stewart United States	31	18.7k 2.1×	2.9k 0.8×	1.1k 0.3×	7.5k 3.2×	1.2k 0.6×	50	20.2k

Countries citing papers authored by Jianshi Tang

Since Specialization

Citations

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

Fields of papers citing papers by Jianshi Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianshi Tang

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

All Works

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20 of 20 papers shown

Wang, Ze, Zhiping Jia, Tianhao Yang, et al.. (2025). A dual-domain compute-in-memory system for general neural network inference. Nature Electronics. 8(3). 276–287. 7 indexed citations

Wang, Ze, Qi Liu, Bin Gao, et al.. (2025). A full-stack memristor-based computation-in-memory system with software-hardware co-development. Nature Communications. 16(1). 2123–2123. 4 indexed citations

Li, Xueqi, Bin Gao, Qi Qin, et al.. (2025). Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator. Nature Electronics. 8(6). 518–528. 4 indexed citations

Chen, Jiajia, Bowen Chen, Gaobo Lin, et al.. (2025). Low-power edge detection based on ferroelectric field-effect transistor. Nature Communications. 16(1). 565–565. 8 indexed citations

Gao, Bin, et al.. (2024). Deep Bayesian active learning using in-memory computing hardware. Nature Computational Science. 5(1). 27–36. 8 indexed citations

Zhang, Qingtian, Bin Gao, Jianshi Tang, et al.. (2024). High-Efficient Memristor-Based Bayesian Convolutional Neural Networks for Out-of-Distribution Detection by Uncertainty Estimation. IEEE Transactions on Electron Devices. 72(1). 206–214.

Hu, Ruofei, Jianshi Tang, Yue Xi, et al.. (2023). Nitrogen-Oxyanion-Doped HfO₂ Resistive Random-Access Memory With Chemically Enhanced Forming. IEEE Electron Device Letters. 44(4). 618–621. 5 indexed citations

Li, Yijun, Jianshi Tang, Bin Gao, et al.. (2023). Monolithic three-dimensional integration of RRAM-based hybrid memory architecture for one-shot learning. Nature Communications. 14(1). 7140–7140. 46 indexed citations

Qin, Qi, Qingtian Zhang, Bin Gao, et al.. (2023). A Crossbar-wise IR-drop Compensation Schemes for 5G/6G Hybrid Precoding with Highly-parallel Analog RRAM Array. 45–46.

10.

Gao, Bin, et al.. (2022). Trends and challenges in the circuit and macro of RRAM-based computing-in-memory systems. SHILAP Revista de lepidopterología. 1(1). 100004–100004. 33 indexed citations

11.

Chen, Junhao, Jianshi Tang, Xinyi Li, et al.. (2022). Microscopic Modeling and Optimization of NbO_x Mott Memristor for Artificial Neuron Applications. IEEE Transactions on Electron Devices. 69(12). 6686–6692. 16 indexed citations

12.

Gao, Bin, Bohan Lin, Yachuan Pang, et al.. (2022). Concealable physically unclonable function chip with a memristor array. Science Advances. 8(24). 76 indexed citations

13.

Li, Yahui, Jian Yao, Wenbin Gong, et al.. (2021). High‐Purity Monochiral Carbon Nanotubes with a 1.2 nm Diameter for High‐Performance Field‐Effect Transistors. Advanced Functional Materials. 32(1). 35 indexed citations

14.

Liao, Yan, Bin Gao, Peng Yao, et al.. (2020). Diagonal Matrix Regression Layer: Training Neural Networks on Resistive Crossbars With Interconnect Resistance Effect. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(8). 1662–1671. 27 indexed citations

15.

Zhao, Mengyu, Kexin Wang, Jason K. Streit, et al.. (2020). DNA-directed nanofabrication of high-performance carbon nanotube field-effect transistors. Science. 368(6493). 878–881. 121 indexed citations

16.

Xi, Yue, Bin Gao, Jianshi Tang, et al.. (2020). In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective. Proceedings of the IEEE. 109(1). 14–42. 151 indexed citations

17.

Chen, Junren, Huaqiang Wu, Bin Gao, et al.. (2020). A Parallel Multibit Programing Scheme With High Precision for RRAM-Based Neuromorphic Systems. IEEE Transactions on Electron Devices. 67(5). 2213–2217. 43 indexed citations

18.

Zhang, Wenbin, Bin Gao, Jianshi Tang, et al.. (2019). Analog‐Type Resistive Switching Devices for Neuromorphic Computing. physica status solidi (RRL) - Rapid Research Letters. 13(10). 105 indexed citations

19.

Tang, Jianshi, Li‐Te Chang, Xufeng Kou, et al.. (2015). Electrical Detection of Spin-Polarized Surface States Conduction in (Bi$_{0.53}$Sb$_{0.47})_{2}$Te$_{3}$ Topological Insulator. Bulletin of the American Physical Society. 12 indexed citations

20.

Tang, Jianshi, Chiu‐Yen Wang, Kang L. Wang, & Lih‐Juann Chen. (2013). Electrical Spin Injection and Detection in Mn 5 Ge 3 /Ge/Mn 5 Ge 3 Nanowire Transistors. APS. 2014. 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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