Shaocong Wang

401 total citations · 1 hit paper
14 papers, 246 citations indexed

About

Shaocong Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shaocong Wang has authored 14 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shaocong Wang's work include Advanced Memory and Neural Computing (8 papers), Neural Networks and Reservoir Computing (6 papers) and Photoreceptor and optogenetics research (2 papers). Shaocong Wang is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Neural Networks and Reservoir Computing (6 papers) and Photoreceptor and optogenetics research (2 papers). Shaocong Wang collaborates with scholars based in China, Hong Kong and Italy. Shaocong Wang's co-authors include Zhongrui Wang, Xiaosong Wu, Weiguo Huang, Wei Huang, Yu Dong, Shiming Zhang, Xinyu Tian, Dingyao Liu, Shilei Dai and Dingchen Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shaocong Wang

13 papers receiving 233 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.

Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning

2023 107 citations Xiaosong Wu, Shaocong Wang et al. Nature Communications profile →

Peers

Shaocong Wang

EEE

AI

CN

CMN

PP

Loai Danial Israel

Jaehyun Kim South Korea

Woyu Zhang China

Juseong Park South Korea

Dingkun Liu China

Jangsaeng Kim South Korea

Keji Zhou China

Hyeongsu Kim South Korea

Chul-Heung Kim South Korea

Yann Beilliard Canada

Loai Danial Israel

Shaocong Wang

267 ×1.4

EEE

84 ×0.8

AI

29 ×0.6

CN

97 ×2.4

CMN

20 ×0.5

PP

Citations per year, relative to Shaocong Wang Shaocong Wang (= 1×) peers Loai Danial

Countries citing papers authored by Shaocong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shaocong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaocong Wang

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

All Works

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14 of 14 papers shown

1.

Wang, Shaocong, et al.. (2025). SGT-LLC: LiDAR Loop Closing Based on Semantic Graph With Triangular Spatial Topology. IEEE Robotics and Automation Letters. 10(4). 3326–3333. 1 indexed citations

2.

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

3.

Wang, Donghui, Shaocong Wang, Yu Dong, et al.. (2025). An Opto‐Iontronic Cholesteric Liquid Crystalline Retina for Multimodal Circularly Polarized Neuromorphic Vision. Advanced Materials. 37(14). e2419747–e2419747. 3 indexed citations

4.

Yin, Yuyang, Shaocong Wang, Na Xiao, et al.. (2024). A Dual‐Modal Memory Organic Electrochemical Transistor Implementation for Reservoir Computing. SHILAP Revista de lepidopterología. 5(1). 2400415–2400415. 9 indexed citations

5.

Tan, Meilan, et al.. (2024). Effect of step-change of solar radiation on human thermal response under non-air-conditioned environments in winter: A field study. Energy and Buildings. 321. 114641–114641. 3 indexed citations

6.

Liu, Dingyao, Xinyu Tian, Shaocong Wang, et al.. (2024). A wearable in-sensor computing platform based on stretchable organic electrochemical transistors. Nature Electronics. 7(12). 1176–1185. 45 indexed citations

7.

Wang, Shaocong, Woyu Zhang, Kuan Ren, et al.. (2024). Oxide‐Based Electrolyte‐Gated Transistors with Stable and Tunable Relaxation Responses for Deep Time‐Delayed Reservoir Computing. Advanced Electronic Materials. 10(4). 9 indexed citations

8.

Jiang, Yang, Shuhui Shi, Shaocong Wang, et al.. (2024). In-sensor reservoir computing for gas pattern recognition using Pt-AlGaN/GaN HEMTs. Device. 3(1). 100550–100550. 6 indexed citations

9.

Lin, Ning, et al.. (2024). Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of DNNs. 1–6. 1 indexed citations

10.

Lin, Ning, Shaocong Wang, Woyu Zhang, et al.. (2024). LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator. 1–9.

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.

Wu, Xiaosong, Shaocong Wang, Wei Huang, et al.. (2023). Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning. Nature Communications. 14(1). 468–468. 107 indexed citations breakdown →

13.

Zhao, Yi, Jiacheng Yang, Shaocong Wang, & Xiaohui Li. (2023). Towards One Shot & Pick All: 3D-OAS, an end-to-end framework for vision guided top-down parcel bin-picking using 3D-overlapping-aware instance segmentation and GNN. Robotics and Autonomous Systems. 167. 104491–104491. 4 indexed citations

14.

Li, Yi, Woyu Zhang, Yifan He, et al.. (2022). Mixed‐Precision Continual Learning Based on Computational Resistance Random Access Memory. Advanced Intelligent Systems. 4(8). 3 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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