Mingkun Xu

912 total citations
36 papers, 639 citations indexed

About

Mingkun Xu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Mingkun Xu has authored 36 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 6 papers in Mechanics of Materials. Recurrent topics in Mingkun Xu's work include Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (5 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Mingkun Xu is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (5 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). Mingkun Xu collaborates with scholars based in China, United States and Hong Kong. Mingkun Xu's co-authors include Zhurui Shen, Jing Pei, Wei Xu, Luping Shi, Qian Zhang, Qiang Wei, Rong Zhao, Jimmy C. Yu, Zhuofeng Hu and Yujie Wu and has published in prestigious journals such as Chemical Society Reviews, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mingkun Xu

34 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingkun Xu China 14 336 113 105 100 95 36 639
George K. Knopf Canada 16 226 0.7× 73 0.6× 33 0.3× 32 0.3× 58 0.6× 126 913
Qingying Ren China 11 351 1.0× 107 0.9× 17 0.2× 37 0.4× 20 0.2× 55 594
Mingxin Yu China 14 124 0.4× 60 0.5× 55 0.5× 88 0.9× 46 0.5× 56 518
Wooseok Choi South Korea 15 606 1.8× 138 1.2× 11 0.1× 57 0.6× 112 1.2× 59 760
Chan Lee South Korea 18 198 0.6× 82 0.7× 57 0.5× 38 0.4× 34 0.4× 118 1.1k
Shuangshuang Liu China 15 128 0.4× 72 0.6× 24 0.2× 83 0.8× 43 0.5× 64 696
Gi‐Woo Kim South Korea 19 157 0.5× 159 1.4× 57 0.5× 34 0.3× 12 0.1× 79 1.1k
Qihui Zhang China 16 554 1.6× 78 0.7× 22 0.2× 25 0.3× 23 0.2× 60 915
H. Qin China 13 407 1.2× 67 0.6× 15 0.1× 48 0.5× 41 0.4× 55 725
Taemin Lee South Korea 11 274 0.8× 55 0.5× 28 0.3× 286 2.9× 34 0.4× 35 831

Countries citing papers authored by Mingkun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Mingkun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingkun Xu. A scholar is included among the top collaborators of Mingkun Xu 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 Mingkun Xu. Mingkun Xu 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.
Wei, Yuanyuan, Xianxian Liu, Yao Mu, et al.. (2025). From droplets to diagnosis: AI-driven imaging and system integration in digital nucleic acid amplification testing. Biosensors and Bioelectronics. 288. 117741–117741. 1 indexed citations
3.
Fang, Xiao, Dongyuan Li, Guoqi Li, et al.. (2025). BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 1574–1582. 1 indexed citations
4.
Zheng, Hanle, Xing Liu, Mingkun Xu, et al.. (2024). Understanding the functional roles of modelling components in spiking neural networks. SHILAP Revista de lepidopterología. 4(3). 34009–34009. 2 indexed citations
5.
Li, Dongyuan, et al.. (2024). LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. 15240–15253. 1 indexed citations
6.
7.
Su, L. C., Mingkun Xu, Desmond K. Loke, et al.. (2024). Recent Advances in Artificial Sensory Neurons: Biological Fundamentals, Devices, Applications, and Challenges. Nano-Micro Letters. 17(1). 61–61. 15 indexed citations
8.
Xu, Mingkun, et al.. (2024). Investigating the influence of particle shape on discrete element modeling of granular soil under multidirectional cyclic shearing. Soil Dynamics and Earthquake Engineering. 189. 109097–109097. 1 indexed citations
9.
Zhou, Jiachao, Fangwen Yu, Mingkun Xu, et al.. (2024). An Optical Neuromorphic Sensor with High Uniformity and High Linearity for Indoor Visible Light Localization. SHILAP Revista de lepidopterología. 3(6). 2 indexed citations
10.
Xu, Mingkun, Faqiang Liu, Yifan Hu, et al.. (2024). Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5151–5165. 7 indexed citations
12.
Chen, Shiqian, et al.. (2023). Parameter Identification of Wheel Polygonization Based on Effective Signal Extraction and Inertial Principle. IEEE Sensors Journal. 23(5). 5061–5072. 10 indexed citations
13.
Yu, Fangwen, Yujie Wu, Mingkun Xu, et al.. (2023). Brain-inspired multimodal hybrid neural network for robot place recognition. Science Robotics. 8(78). eabm6996–eabm6996. 42 indexed citations
14.
Xu, Mingkun, et al.. (2023). Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. 1–8. 1 indexed citations
15.
Wu, Yujie, Rong Zhao, Jun Zhu, et al.. (2022). Brain-inspired global-local learning incorporated with neuromorphic computing. Nature Communications. 13(1). 65–65. 69 indexed citations
16.
Zhao, Rong, Zheyu Yang, Hao Zheng, et al.. (2022). A framework for the general design and computation of hybrid neural networks. Nature Communications. 13(1). 3427–3427. 45 indexed citations
17.
Xu, Mingkun, Shujing Jia, Bolun Wang, et al.. (2021). A new opportunity for the emerging tellurium semiconductor: making resistive switching devices. Nature Communications. 12(1). 6081–6081. 46 indexed citations
18.
Xu, Mingkun, et al.. (2021). Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks. 145. 199–208. 25 indexed citations
19.
Liu, Faqiang, Mingkun Xu, Guoqi Li, et al.. (2020). Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks. 133. 148–156. 7 indexed citations
20.
Wang, Yaoyuan, Ziyang Zhang, Mingkun Xu, et al.. (2019). Self-Doping Memristors with Equivalently Synaptic Ion Dynamics for Neuromorphic Computing. ACS Applied Materials & Interfaces. 11(27). 24230–24240. 41 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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