Teng Zhang

3.3k total citations · 4 hit papers
59 papers, 2.6k citations indexed

About

Teng Zhang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Teng Zhang has authored 59 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 18 papers in Cellular and Molecular Neuroscience and 15 papers in Artificial Intelligence. Recurrent topics in Teng Zhang's work include Advanced Memory and Neural Computing (51 papers), Ferroelectric and Negative Capacitance Devices (23 papers) and Neuroscience and Neural Engineering (14 papers). Teng Zhang is often cited by papers focused on Advanced Memory and Neural Computing (51 papers), Ferroelectric and Negative Capacitance Devices (23 papers) and Neuroscience and Neural Engineering (14 papers). Teng Zhang collaborates with scholars based in China, Singapore and Germany. Teng Zhang's co-authors include Yuchao Yang, Ru Huang, Jiadi Zhu, Bingjie Dang, Keqin Liu, Liying Xu, Caidie Cheng, Zongwei Wang, Yimao Cai and Minghui Yin and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Teng Zhang

57 papers receiving 2.5k citations

Hit Papers

A comprehensive review on emerging artificial neuromorphi... 2020 2026 2022 2024 2020 2022 2023 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teng Zhang China 20 2.4k 968 570 473 439 59 2.6k
Noraica Dávila United States 17 2.8k 1.2× 1.1k 1.1× 509 0.9× 426 0.9× 314 0.7× 23 2.9k
Tomáš Tůma Switzerland 14 2.2k 0.9× 786 0.8× 517 0.9× 393 0.8× 278 0.6× 27 2.6k
Gina C. Adam United States 13 3.1k 1.3× 1.5k 1.5× 526 0.9× 496 1.0× 421 1.0× 46 3.3k
Kibong Moon South Korea 23 2.7k 1.1× 1.1k 1.1× 416 0.7× 406 0.9× 436 1.0× 49 2.9k
Brian D. Hoskins United States 16 3.4k 1.4× 1.6k 1.7× 538 0.9× 577 1.2× 484 1.1× 41 3.5k
Saumil Joshi United States 15 3.3k 1.4× 1.6k 1.7× 365 0.6× 606 1.3× 549 1.3× 22 3.4k
Xiangshui Miao China 31 2.8k 1.2× 1.1k 1.1× 307 0.5× 494 1.0× 432 1.0× 226 3.4k
Severin Sidler Switzerland 9 2.5k 1.1× 837 0.9× 611 1.1× 385 0.8× 301 0.7× 11 2.6k
Fabien Alibart France 22 2.0k 0.8× 980 1.0× 303 0.5× 407 0.9× 330 0.8× 63 2.2k
Suhas Kumar United States 25 2.7k 1.1× 887 0.9× 593 1.0× 708 1.5× 681 1.6× 62 3.0k

Countries citing papers authored by Teng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Teng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Zhang

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

All Works

20 of 20 papers shown
1.
Wu, Kai, Zhiyuan Li, Jing Zhou, et al.. (2025). Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models. Nature Communications. 16(1). 1031–1031. 7 indexed citations
2.
Liu, Keqin, Lin Bao, Yang Yang, et al.. (2025). A dual‐ferroelectric gate‐tunable memristor for physically‐implemented nonlinear computing. InfoMat. 8(1). 1 indexed citations
3.
Liu, Keqin, Bingjie Dang, Teng Zhang, et al.. (2024). Tuning the ferroelectricity of Hf0.5Zr0.5O2 with alloy electrodes. Science China Information Sciences. 67(8). 1 indexed citations
4.
Ke, Yang, Yanghao Wang, Pek Jun Tiw, et al.. (2024). High-order sensory processing nanocircuit based on coupled VO2 oscillators. Nature Communications. 15(1). 1693–1693. 19 indexed citations
5.
Dang, Bingjie, et al.. (2024). Spatiotemporal audio feature extraction with dynamic memristor-based time-surface neurons. Science Advances. 10(14). 17 indexed citations
6.
Zhang, Teng, et al.. (2024). A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality. Robotics and Computer-Integrated Manufacturing. 90. 102818–102818. 6 indexed citations
7.
Liu, Keqin, Yuan Rui, Teng Zhang, et al.. (2023). Seizure detection using dynamic memristor-based reservoir computing and leaky integrate-and-fire neuron for post-processing. SHILAP Revista de lepidopterología. 1(4). 7 indexed citations
8.
Rui, Yuan, Pek Jun Tiw, Lei Cai, et al.. (2023). A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface. Nature Communications. 14(1). 3695–3695. 127 indexed citations breakdown →
9.
Chen, Shaochuan, Teng Zhang, Stefan Tappertzhofen, Yuchao Yang, & Ilia Valov. (2023). Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges. Advanced Materials. 35(37). e2301924–e2301924. 104 indexed citations breakdown →
10.
Wang, Junjie, Teng Zhang, S. G. Hu, et al.. (2023). Design and Implementation of a Hybrid, ADC/DAC-Free, Input-Sparsity-Aware, Precision Reconfigurable RRAM Processing-in-Memory Chip. IEEE Journal of Solid-State Circuits. 59(2). 595–604. 4 indexed citations
11.
Duan, Qingxi, Teng Zhang, Chang Liu, et al.. (2022). Artificial Multisensory Neurons with Fused Haptic and Temperature Perception for Multimodal In‐Sensor Computing. SHILAP Revista de lepidopterología. 4(8). 45 indexed citations
12.
Xu, Liying, Jiadi Zhu, Bing Chen, et al.. (2022). A distributed nanocluster based multi-agent evolutionary network. Nature Communications. 13(1). 4698–4698. 9 indexed citations
13.
Li, Xi, Bonan Yan, Teng Zhang, et al.. (2021). In‐Memory Realization of Eligibility Traces Based on Conductance Drift of Phase Change Memory for Energy‐Efficient Reinforcement Learning. Advanced Materials. 34(6). e2107811–e2107811. 29 indexed citations
14.
Zhao, Meng, Yongdan Zhu, Yuan Zhang, & Teng Zhang. (2021). Study of resistive switching, photoresponse, and magnetism modulation in the Pt/Co3O4/Nb:SrTiO3 heterostructure. Applied Physics Letters. 118(15). 3 indexed citations
15.
Liu, Keqin, Teng Zhang, Caidie Cheng, et al.. (2020). Highly Uniform Two‐Terminal Artificial Synapses Based on Polycrystalline Hf0.5Zr0.5O2 for Sparsified Back Propagation Networks. Advanced Electronic Materials. 6(8). 10 indexed citations
16.
Zhu, Jiadi, Bingjie Dang, Teng Zhang, et al.. (2020). TaOx synapse array based on ion profile engineering for high accuracy neuromorpic computing. 1–4. 2 indexed citations
17.
Dang, Bingjie, Keqin Liu, Jiadi Zhu, et al.. (2019). Stochastic neuron based on IGZO Schottky diodes for neuromorphic computing. APL Materials. 7(7). 43 indexed citations
18.
Duan, Qingxi, Jingxian Li, Jiadi Zhu, et al.. (2019). Conductance quantization in oxide-based resistive switching devices. 1–3. 1 indexed citations
19.
Wang, Chen, Huaqiang Wu, Bin Gao, et al.. (2017). Conduction mechanisms, dynamics and stability in ReRAMs. Microelectronic Engineering. 187-188. 121–133. 91 indexed citations
20.
Yang, Xue, Yichen Fang, Zhizhen Yu, et al.. (2016). Nonassociative learning implementation by a single memristor-based multi-terminal synaptic device. Nanoscale. 8(45). 18897–18904. 87 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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