Dashan Shang

4.2k total citations · 2 hit papers
90 papers, 2.9k citations indexed

About

Dashan Shang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Dashan Shang has authored 90 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 23 papers in Materials Chemistry and 21 papers in Artificial Intelligence. Recurrent topics in Dashan Shang's work include Advanced Memory and Neural Computing (66 papers), Ferroelectric and Negative Capacitance Devices (37 papers) and Neural Networks and Reservoir Computing (16 papers). Dashan Shang is often cited by papers focused on Advanced Memory and Neural Computing (66 papers), Ferroelectric and Negative Capacitance Devices (37 papers) and Neural Networks and Reservoir Computing (16 papers). Dashan Shang collaborates with scholars based in China, Hong Kong and Singapore. Dashan Shang's co-authors include Young Sun, Yisheng Chai, Nan Liu, Chuansen Yang, Kun Zhai, Qi Liu, Gang Shi, Chuan Yang, Xi Shen and Baogen Shen and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dashan Shang

84 papers receiving 2.8k 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.

All‐Solid‐State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing

2018 420 citations Chuansen Yang, Dashan Shang et al. profile →
A Synaptic Transistor based on Quasi‐2D Molybdenum Oxide

2017 382 citations Dashan Shang, Young Sun et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dashan Shang	2.3k	838	825	608	549	90	2.9k
Bobo Tian	2.3k 1.0×	999 1.2×	704 0.9×	308 0.5×	593 1.1×	103	3.0k
Mohit Kumar	2.3k 1.0×	1.4k 1.6×	710 0.9×	424 0.7×	557 1.0×	136	3.1k
Xiangshui Miao	2.8k 1.2×	972 1.2×	1.1k 1.3×	233 0.4×	432 0.8×	226	3.4k
Muhammad Ismail	2.7k 1.2×	625 0.7×	1.2k 1.4×	169 0.3×	618 1.1×	112	3.0k
Ping Feng	2.0k 0.9×	617 0.7×	843 1.0×	196 0.3×	490 0.9×	78	2.6k
Francesco Maria Puglisi	2.4k 1.1×	589 0.7×	484 0.6×	124 0.2×	253 0.5×	123	2.6k
Changhwan Choi	3.8k 1.7×	1.2k 1.4×	1.2k 1.5×	187 0.3×	753 1.4×	154	4.2k
Hussein Nili	2.3k 1.0×	1.8k 2.2×	565 0.7×	482 0.8×	481 0.9×	45	3.8k
Shuang Gao	4.0k 1.8×	974 1.2×	1.6k 2.0×	205 0.3×	1.4k 2.6×	58	4.3k
Elliot J. Fuller	3.8k 1.6×	566 0.7×	1.5k 1.8×	121 0.2×	1.3k 2.4×	56	4.1k

Countries citing papers authored by Dashan Shang

Since Specialization

Citations

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

Fields of papers citing papers by Dashan Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dashan Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Dashan Shang. A scholar is included among the top collaborators of Dashan Shang 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 Dashan Shang. Dashan Shang 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, Bo, Xinyuan Zhang, Ning Lin, et al.. (2025). Topology optimization of random memristors for input-aware dynamic SNN. Science Advances. 11(16). eads5340–eads5340. 2 indexed citations

Xu, Meng, Shaocong Wang, Yi Li, et al.. (2025). Efficient modeling of ionic and electronic interactions by a resistive memory-based reservoir graph neural network. Nature Computational Science. 5(12). 1178–1191. 1 indexed citations

Shang, Dashan, Jianshi Tang, Qing Luo, et al.. (2024). A Biomimetic Nociceptor Based on a Vertical Multigate, Multichannel Neuromorphic Transistor. ACS Nano. 18(44). 30668–30680. 1 indexed citations

Dong, Danian, Woyu Zhang, Jinshan Yue, et al.. (2024). Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System. SHILAP Revista de lepidopterología. 6(10).

Wu, Shuyu, Xumeng Zhang, Keji Zhou, et al.. (2024). Multi-state nonvolatile capacitances in HfO2-based ferroelectric capacitor for neuromorphic computing. Applied Physics Letters. 124(10). 10 indexed citations

Zhang, Woyu, Ning Lin, Yifei Yu, et al.. (2024). Semantic memory–based dynamic neural network using memristive ternary CIM and CAM for 2D and 3D vision. Science Advances. 10(33). eado1058–eado1058. 4 indexed citations

Han, Shihao, Mingzi Li, Xiaoxin Xu, et al.. (2024). CMN: a co-designed neural architecture search for efficient computing-in-memory-based mixture-of-experts. Science China Information Sciences. 67(10).

Shang, Dashan, Qing Luo, Junjie An, et al.. (2023). A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing. Nature Communications. 14(1). 6385–6385. 38 indexed citations

Wang, Linfang, Junjie An, Zhi Li, et al.. (2023). A 28-nm RRAM Computing-in-Memory Macro Using Weighted Hybrid 2T1R Cell Array and Reference Subtracting Sense Amplifier for AI Edge Inference. IEEE Journal of Solid-State Circuits. 58(10). 2839–2850. 22 indexed citations

10.

Liu, Zhuohui, Qinghua Zhang, Donggang Xie, et al.. (2023). Interface-type tunable oxygen ion dynamics for physical reservoir computing. Nature Communications. 14(1). 7176–7176. 37 indexed citations

11.

Wang, Shaocong, Yi Li, Dingchen Wang, et al.. (2023). Echo state graph neural networks with analogue random resistive memory arrays. Nature Machine Intelligence. 5(2). 104–113. 54 indexed citations

12.

Zhang, Woyu, Kuan Ren, Peiwen Zhang, et al.. (2023). In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective. SHILAP Revista de lepidopterología. 2(2). 22701–22701. 14 indexed citations

13.

Wang, Linfang, Chunmeng Dou, Xin Si, et al.. (2021). Efficient and Robust Nonvolatile Computing-In-Memory Based on Voltage Division in 2T2R RRAM With Input-Dependent Sensing Control. IEEE Transactions on Circuits & Systems II Express Briefs. 68(5). 1640–1644. 32 indexed citations

14.

Lu, Jikai, Yue Li, Han Xu, et al.. (2021). One Transistor One Electrolyte-Gated Transistor for Supervised Learning in SNNs. IEEE Electron Device Letters. 43(2). 296–299. 6 indexed citations

15.

Shang, Dashan, et al.. (2020). An organic synaptic transistor with Nafion electrolyte. Journal of Physics D Applied Physics. 53(48). 485102–485102. 11 indexed citations

16.

Shen, Jianxin, et al.. (2019). Artificial synaptic device based on a multiferroic heterostructure. Journal of Physics D Applied Physics. 52(46). 465303–465303. 7 indexed citations

17.

Cao, Rongrong, Qi Liu, Ming Liu, et al.. (2019). Improvement of Endurance in HZO-Based Ferroelectric Capacitor Using Ru Electrode. IEEE Electron Device Letters. 40(11). 1744–1747. 117 indexed citations

18.

Zhao, Xiaolong, Xumeng Zhang, Dashan Shang, et al.. (2019). Uniform, Fast, and Reliable Li_xSiO_y-Based Resistive Switching Memory. IEEE Electron Device Letters. 40(4). 554–557. 25 indexed citations

19.

Zhai, Kun, Yan Wu, Shipeng Shen, et al.. (2017). Giant magnetoelectric effects achieved by tuning spin cone symmetry in Y-type hexaferrites. Nature Communications. 8(1). 519–519. 112 indexed citations

20.

Xu, Ming, Stefan Jakobs, Riccardo Mazzarello, et al.. (2017). Impact of Pressure on the Resonant Bonding in Chalcogenides. The Journal of Physical Chemistry C. 121(45). 25447–25454. 37 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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