Tianqing Wan

2.1k total citations · 3 hit papers
22 papers, 1.4k citations indexed

About

Tianqing Wan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Tianqing Wan has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Materials Chemistry. Recurrent topics in Tianqing Wan's work include Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and CCD and CMOS Imaging Sensors (4 papers). Tianqing Wan is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and CCD and CMOS Imaging Sensors (4 papers). Tianqing Wan collaborates with scholars based in China, Hong Kong and South Korea. Tianqing Wan's co-authors include Yang Chai, Yue Zhou, Jiewei Chen, Sijie Ma, Beom Jin Kim, Jong‐Hyun Ahn, Zheng Zhou, Jinfeng Kang, Fuyou Liao and Zhaoqing Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Tianqing Wan

20 papers receiving 1.4k 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 in-sensor visual adaptation for accurate perception

2022 450 citations Fuyou Liao, Zheng Zhou et al. Nature Electronics profile →
Optoelectronic graded neurons for bioinspired in-sensor motion perception

2023 273 citations Jiewei Chen, Zheng Zhou et al. Nature Nanotechnology profile →
In‐Sensor Computing: Materials, Devices, and Integration Technologies

2022 184 citations Tianqing Wan, Sijie Ma et al. Advanced Materials profile →

Peers

Tianqing Wan

EEE

CMN

AI

MC

PP

Yijun Li China

Sung Min Kwon South Korea

Min‐Kyu Kim South Korea

Jiadi Zhu China

Yimao Cai China

Bingjie Dang China

Gianluca Milano Italy

Yao Ni China

Xiang Wan China

Yijun Li China

Tianqing Wan

1.1k ×0.9

EEE

374 ×0.8

CMN

311 ×1.1

AI

372 ×1.5

MC

198 ×0.9

PP

Citations per year, relative to Tianqing Wan Tianqing Wan (= 1×) peers Yijun Li

Countries citing papers authored by Tianqing Wan

Since Specialization

Citations

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

Fields of papers citing papers by Tianqing Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianqing Wan

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

Zeng, Guang, Sijie Ma, Tianqing Wan, et al.. (2025). Fabrication and characterization of optoelectronic in-sensor computing devices. Nature Protocols.

2.

Guo, Jianmiao, Ziyuan Lin, Xiangli Che, et al.. (2025). Capacitorless Dynamic Random Access Memory with 2D Transistors by One-Step Transfer of van der Waals Dielectrics and Electrodes. ACS Nano. 19(2). 2848–2856. 1 indexed citations

3.

Wan, Tianqing, Zhihang Xu, Chaoyi Zhu, et al.. (2025). Transferable Highly Crystalline Perovskite Ferroelectrics for Low-Power Memory. ACS Nano. 19(41). 36313–36322.

4.

Wang, Zhaoqing, Tianqing Wan, Sijie Ma, & Yang Chai. (2024). Multidimensional vision sensors for information processing. Nature Nanotechnology. 19(7). 919–930. 64 indexed citations

5.

Zhu, Chaoyi, Sijie Ma, Zhaoqing Wang, et al.. (2024). Optoelectronic Devices for In‐Sensor Computing. Advanced Materials. 37(23). e2407476–e2407476. 45 indexed citations

6.

Ma, Sijie, Yue Zhou, Tianqing Wan, et al.. (2024). Bioinspired In-Sensor Multimodal Fusion for Enhanced Spatial and Spatiotemporal Association. Nano Letters. 24(23). 7091–7099. 19 indexed citations

7.

Chen, Jiewei, Zheng Zhou, Beom Jin Kim, et al.. (2023). Optoelectronic graded neurons for bioinspired in-sensor motion perception. Nature Nanotechnology. 18(8). 882–888. 273 indexed citations breakdown →

8.

Yuan, Huanmei, et al.. (2023). Resistive Switching Characteristic of Cu Electrode-Based RRAM Device. Electronics. 12(6). 1471–1471. 5 indexed citations

9.

Chen, Hongye, Tianqing Wan, Yue Zhou, et al.. (2023). Highly Nonlinear Memory Selectors with Ultrathin MoS₂/WSe₂/MoS₂ Heterojunction. Advanced Functional Materials. 34(15). 20 indexed citations

10.

Wan, Tianqing, Fuyou Liao, Beom Jin Kim, et al.. (2023). Highly Trustworthy In-Sensor Cryptography for Image Encryption and Authentication. ACS Nano. 17(11). 10291–10299. 49 indexed citations

11.

Zuo, Wenbin, et al.. (2023). Volatile threshold switching memristor: An emerging enabler in the AIoT era. Journal of Semiconductors. 44(5). 53102–53102. 28 indexed citations

12.

Chen, Jiewei, Yue Zhou, Jian‐Min Yan, et al.. (2022). Room-temperature valley transistors for low-power neuromorphic computing. Nature Communications. 13(1). 7758–7758. 28 indexed citations

13.

Liao, Fuyou, Zheng Zhou, Beom Jin Kim, et al.. (2022). Bioinspired in-sensor visual adaptation for accurate perception. Nature Electronics. 5(2). 84–91. 450 indexed citations breakdown →

14.

Wan, Tianqing, et al.. (2022). In‐Sensor Computing: Materials, Devices, and Integration Technologies. Advanced Materials. 35(37). e2203830–e2203830. 184 indexed citations breakdown →

15.

Wan, Tianqing, et al.. (2022). Improve the Robustness of Diffusive Memristor based True Random Number Generator via Voltage-to-Time Transformation. 58–59. 1 indexed citations

16.

Lu, Yifan, Yi Li, Tianqing Wan, et al.. (2022). A High‐Performance Ag/TiN/HfO_x/HfO_y/HfO_x/Pt Diffusive Memristor for Calibration‐Free True Random Number Generator. Advanced Electronic Materials. 8(9). 36 indexed citations

17.

Yang, Ling, et al.. (2021). Controlled Majority-Inverter Graph Logic With Highly Nonlinear, Self-Rectifying Memristor. IEEE Transactions on Electron Devices. 68(10). 4897–4902. 22 indexed citations

18.

Wan, Tianqing, et al.. (2021). Neuromorphic sensory computing. Science China Information Sciences. 65(4). 46 indexed citations

19.

Wan, Tianqing, Yifan Lu, Jun‐Hui Yuan, et al.. (2021). 12.7 MA/cm² On-Current Density and High Uniformity Realized in AgGeSe/Al₂O₃ Selectors. IEEE Electron Device Letters. 42(4). 613–616. 9 indexed citations

20.

Lu, Yifan, Yi Li, Tianqing Wan, et al.. (2020). Low-Power Artificial Neurons Based on Ag/TiN/HfAlOx/Pt Threshold Switching Memristor for Neuromorphic Computing. IEEE Electron Device Letters. 41(8). 1245–1248. 93 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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