Bin Gao

21.4k total citations · 13 hit papers
355 papers, 16.5k citations indexed

About

Bin Gao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Bin Gao has authored 355 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 335 papers in Electrical and Electronic Engineering, 82 papers in Cellular and Molecular Neuroscience and 52 papers in Materials Chemistry. Recurrent topics in Bin Gao's work include Advanced Memory and Neural Computing (313 papers), Ferroelectric and Negative Capacitance Devices (245 papers) and Semiconductor materials and devices (99 papers). Bin Gao is often cited by papers focused on Advanced Memory and Neural Computing (313 papers), Ferroelectric and Negative Capacitance Devices (245 papers) and Semiconductor materials and devices (99 papers). Bin Gao collaborates with scholars based in China, United States and Singapore. Bin Gao's co-authors include Huaqiang Wu, He Qian, Jianshi Tang, Jinfeng Kang, Peng Yao, Shimeng Yu, Wenqiang Zhang, Qingtian Zhang, H.‐S. Philip Wong and J. Joshua Yang and has published in prestigious journals such as Nature, Science and Advanced Materials.

In The Last Decade

Bin Gao

332 papers receiving 16.2k citations

Hit Papers

5 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.

Fully hardware-implemented memristor convolutional neural network

2020 1.6k citations Peng Yao, Huaqiang Wu et al. profile →
Face classification using electronic synapses

2017 764 citations Peng Yao, Huaqiang Wu et al. Nature Communications 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. Advanced Materials profile →
A compute-in-memory chip based on resistive random-access memory

2022 511 citations Weier Wan, Rajkumar Kubendran et al. profile →
A Low Energy Oxide‐Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation

2013 452 citations Shimeng Yu, Bin Gao et al. Advanced Materials profile →
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing

2021 428 citations Ya‐Nan Zhong, Jianshi Tang et al. Nature Communications profile →
Understanding memristive switching via in situ characterization and device modeling

2019 344 citations Wen Sun, Bin Gao et al. Nature Communications profile →
Edge learning using a fully integrated neuro-inspired memristor chip

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

2022 221 citations Ya‐Nan Zhong, Jianshi Tang et al. Nature Electronics profile →
Physical reservoir computing with emerging electronics

2024 101 citations Xiangpeng Liang, Jianshi Tang et al. Nature Electronics profile →
Insight into the Synergistic Effect of Binary Nonmetallic Codoped Co₃O₄ Catalysts for Efficient Ethyl Acetate Degradation under Humid Conditions

2025 57 citations Bin Gao et al. 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
Bin Gao China	61	15.4k	5.3k	2.7k	2.4k	2.1k	355	16.5k
Huaqiang Wu China	60	14.8k 1.0×	5.3k 1.0×	3.1k 1.1×	2.3k 1.0×	2.2k 1.0×	299	16.3k
He Qian China	52	11.7k 0.8×	4.0k 0.8×	2.4k 0.9×	1.7k 0.7×	1.8k 0.8×	290	12.7k
John Paul Strachan United States	50	15.0k 1.0×	6.0k 1.1×	2.5k 0.9×	2.3k 0.9×	2.2k 1.0×	123	16.0k
Qiangfei Xia United States	51	14.8k 1.0×	6.2k 1.2×	2.1k 0.8×	2.1k 0.9×	2.4k 1.1×	137	16.4k
Daniele Ielmini Italy	72	17.9k 1.2×	4.7k 0.9×	1.8k 0.6×	3.7k 1.5×	1.7k 0.8×	388	19.0k
Shimeng Yu United States	70	23.1k 1.5×	6.9k 1.3×	3.3k 1.2×	2.7k 1.1×	1.8k 0.8×	508	24.2k
Jianshi Tang China	54	8.9k 0.6×	2.4k 0.5×	2.0k 0.7×	1.5k 0.6×	1.3k 0.6×	217	13.2k
Abu Sebastian Switzerland	46	10.3k 0.7×	2.2k 0.4×	2.9k 1.1×	1.2k 0.5×	1.1k 0.5×	224	12.7k
Hao Jiang United States	31	8.4k 0.5×	3.7k 0.7×	1.2k 0.5×	1.3k 0.5×	1.4k 0.7×	67	9.2k
Yuchao Yang China	49	9.6k 0.6×	3.8k 0.7×	1.3k 0.5×	2.3k 0.9×	1.4k 0.6×	201	10.9k

Countries citing papers authored by Bin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Bin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Gao. A scholar is included among the top collaborators of Bin Gao 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 Bin Gao. Bin Gao 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

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

Xu, Wenqiang, Kai Zhou, Yalun Li, et al.. (2024). Study on the evolution laws and induced failure of series arcs in cylindrical lithium-ion batteries. Applied Energy. 377. 124562–124562. 12 indexed citations

Liu, Longjun, et al.. (2024). Compensation architecture design utilizing residual resource to mitigate impacts of nonidealities in RRAM-based computing-in-memory chips. Microelectronics Journal. 149. 106189–106189.

Liang, Xiangpeng, Jianshi Tang, Ya‐Nan Zhong, et al.. (2024). Physical reservoir computing with emerging electronics. Nature Electronics. 7(3). 193–206. 101 indexed citations breakdown →

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

Yao, Peng, Bin Gao, & Huaqiang Wu. (2024). Transforming edge hardware with in situ learning features. 1(3). 141–142. 2 indexed citations

Liang, Renrong, Zhigang Zhang, Liyang Pan, et al.. (2024). A Dual-Gate Vertical Channel IGZO Transistor for BEOL Stackable 3D Parallel Integration for Memory and Computing Applications. 1–2. 1 indexed citations

Zhang, Qingtian, Bin Gao, Jianshi Tang, et al.. (2023). Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nature Machine Intelligence. 5(7). 714–723. 29 indexed citations

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

10.

Wei, Tiantian, Yuyao Lu, Fan Zhang, et al.. (2022). Three‐Dimensional Reconstruction of Conductive Filaments in HfO_x‐Based Memristor. Advanced Materials. 35(10). e2209925–e2209925. 56 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.

Zhong, Ya‐Nan, Jianshi Tang, Xinyi Li, et al.. (2021). Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing. Nature Communications. 12(1). 408–408. 428 indexed citations breakdown →

13.

Wan, Weier, Rajkumar Kubendran, Sukru Burc Eryilmaz, et al.. (2020). 33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models. 498–500. 106 indexed citations

14.

Pang, Yachuan, Bin Gao, Dong Wu, et al.. (2019). 25.2 A Reconfigurable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source With <6×10⁻⁶ Native Bit Error Rate. 402–404. 53 indexed citations

15.

Huang, Peng, Yudi Zhao, Meiran Zhao, et al.. (2019). Impacts of State Instability and Retention Failure of Filamentary Analog RRAM on the Performance of Deep Neural Network. IEEE Transactions on Electron Devices. 66(11). 4517–4522. 44 indexed citations

16.

Huang, Peng, Runze Han, Zheng Zhou, et al.. (2019). Stateful Logic Operations in One-Transistor-One- Resistor Resistive Random Access Memory Array. IEEE Electron Device Letters. 40(9). 1538–1541. 44 indexed citations

17.

Hang, Cheng-Zhou, Chen Wang, Bin Gao, et al.. (2019). Sub-nanosecond pulse programming and device design strategy for analog resistive switching in HfOx-based resistive random access memory. Applied Physics Letters. 114(11). 4 indexed citations

18.

Zhao, Meiran, Bin Gao, Yue Xi, et al.. (2019). Endurance and Retention Degradation of Intermediate Levels in Filamentary Analog RRAM. IEEE Journal of the Electron Devices Society. 7. 1239–1247. 25 indexed citations

19.

Li, Yujia, Huaqiang Wu, Bin Gao, et al.. (2018). Impact of variations of threshold voltage and hold voltage of threshold switching selectors in 1S1R crossbar array. Chinese Physics B. 27(11). 118502–118502. 7 indexed citations

20.

Gao, Bin, et al.. (2017). New structure with SiO 2 -gate-dielectric select gates in vertical-channel three-dimensional (3D) NAND flash memory. Microelectronics Reliability. 78. 80–84. 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.

Explore authors with similar magnitude of impact