Jibin Wu

1.7k total citations
73 papers, 1.0k citations indexed

About

Jibin Wu is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Jibin Wu has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 30 papers in Cognitive Neuroscience and 23 papers in Artificial Intelligence. Recurrent topics in Jibin Wu's work include Advanced Memory and Neural Computing (31 papers), Neural dynamics and brain function (24 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Jibin Wu is often cited by papers focused on Advanced Memory and Neural Computing (31 papers), Neural dynamics and brain function (24 papers) and Ferroelectric and Negative Capacitance Devices (11 papers). Jibin Wu collaborates with scholars based in China, Hong Kong and Singapore. Jibin Wu's co-authors include Haizhou Li, Malu Zhang, Kay Chen Tan, Yansong Chua, Zihan Pan, Guoqi Li, Chenglin Xu, Emre Yılmaz, Daquan Zhou and Xiao Han and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jibin Wu

58 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jibin Wu China	18	660	523	372	127	87	73	1.0k
Amirhossein Tavanaei United States	9	744 1.1×	516 1.0×	425 1.1×	31 0.2×	173 2.0×	16	1.1k
Chankyu Lee United States	11	760 1.2×	364 0.7×	269 0.7×	13 0.1×	126 1.4×	31	951
Haibin Shen China	14	148 0.2×	144 0.3×	102 0.3×	71 0.6×	18 0.2×	82	676
Guangye Li China	17	154 0.2×	431 0.8×	48 0.1×	31 0.2×	215 2.5×	71	939
Kyoung-Rok Cho South Korea	16	842 1.3×	151 0.3×	83 0.2×	77 0.6×	365 4.2×	102	1.1k
Gaye Lightbody United Kingdom	13	179 0.3×	127 0.2×	38 0.1×	120 0.9×	51 0.6×	39	602
Moein Khajehnejad United States	12	150 0.2×	121 0.2×	61 0.2×	99 0.8×	76 0.9×	27	646
D. Verstraeten Belgium	11	1.2k 1.8×	439 0.8×	1.3k 3.4×	32 0.3×	23 0.3×	21	1.6k

Countries citing papers authored by Jibin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jibin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jibin Wu

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

He, Haohuai, Guanxing Chen, Yao Hu, et al.. (2025). scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks. Genome biology. 26(1). 300–300.

Huang, Yu‐An, et al.. (2025). CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. Medical Image Analysis. 103. 103581–103581.

Wu, Xingyu, Yu Zhou, Jibin Wu, et al.. (2025). Evaluation of Large Language Models as Solution Generators in Complex Optimization. IEEE Computational Intelligence Magazine. 20(4). 56–70.

Zhang, Malu, Jibin Wu, Ammar Belatreche, et al.. (2025). Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10143–10155. 2 indexed citations

Wu, Jibin, et al.. (2025). Simultaneously induce apoptosis and inhibiting metastasis of Triple negative breast cancer Enabled by a highly potent NIR fluorescent inhibitor. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 339. 126183–126183. 2 indexed citations

Deng, Lei, et al.. (2025). High‐speed dynamic sensing and analysis of high voltage circuit breaker spring‐operating mechanism. High Voltage. 10(4). 1010–1019. 1 indexed citations

Wu, Jibin, et al.. (2025). Recovery of activation propagation and self-sustained oscillation abilities in stroke brain networks. Physical review. E. 111(3). 34309–34309. 2 indexed citations

Lü, Na, et al.. (2025). A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification. Neural Networks. 184. 107127–107127.

Sun, Pengfei, Jibin Wu, Paul Devos, & Dick Botteldooren. (2025). Towards parameter-free attentional spiking neural networks. Neural Networks. 185. 107154–107154. 4 indexed citations

10.

Liu, Rui, Yao Hu, Jibin Wu, et al.. (2025). Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. IEEE Transactions on Cybernetics. 55(3). 1121–1134. 1 indexed citations

11.

Sun, Pengfei, Jibin Wu, Malu Zhang, Paul Devos, & Dick Botteldooren. (2024). Delay learning based on temporal coding in Spiking Neural Networks. Neural Networks. 180. 106678–106678. 9 indexed citations

12.

Deng, Lei, Hao Guo, Xin Zhang, et al.. (2024). Discharge image reconstruction and frequency domain analysis based on event data. High Voltage. 9(6). 1195–1201. 1 indexed citations

13.

Hao, Xiang, Chenxiang Ma, Yang Qu, Kay Chen Tan, & Jibin Wu. (2024). When Audio Denoising Meets Spiking Neural Network. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1524–1527. 2 indexed citations

14.

Wu, Jibin, Xuan Zou, Yinghua Xu, et al.. (2024). Novel Nano Drug‐Loaded Hydrogel Coatings for the Prevention and Treatment of CAUTI. Advanced Healthcare Materials. 13(30). e2401745–e2401745. 4 indexed citations

15.

Qu, Yang, et al.. (2024). TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16838–16847. 7 indexed citations

16.

Huang, Zhi-An, et al.. (2024). Mixed Prototype Correction for Causal Inference in Medical Image Classification. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 4377–4386. 1 indexed citations

17.

Wu, Jibin, Yansong Chua, Malu Zhang, et al.. (2021). A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 34(1). 446–460. 120 indexed citations

18.

Zhang, Malu, Jiadong Wang, Zhixuan Zhang, et al.. (2020). Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. arXiv (Cornell University). 15 indexed citations

19.

Wu, Jibin, Yansong Chua, Malu Zhang, et al.. (2019). A Tandem Learning Rule for Efficient and Rapid Inference on Deep Spiking Neural Networks. arXiv (Cornell University). 11 indexed citations

20.

Wu, Jibin, Zihan Pan, Malu Zhang, et al.. (2019). Robust Sound Recognition: A Neuromorphic Approach.. Conference of the International Speech Communication Association. 3667–3668. 7 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.

Explore authors with similar magnitude of impact