Jiang Wang

14.9k total citations · 1 hit paper
573 papers, 9.7k citations indexed

About

Jiang Wang is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jiang Wang has authored 573 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 335 papers in Cognitive Neuroscience, 164 papers in Statistical and Nonlinear Physics and 153 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jiang Wang's work include Neural dynamics and brain function (272 papers), stochastic dynamics and bifurcation (137 papers) and Neuroscience and Neural Engineering (131 papers). Jiang Wang is often cited by papers focused on Neural dynamics and brain function (272 papers), stochastic dynamics and bifurcation (137 papers) and Neuroscience and Neural Engineering (131 papers). Jiang Wang collaborates with scholars based in China, United States and Hong Kong. Jiang Wang's co-authors include Bin Deng, Xile Wei, Haitao Yu, Shuangming Yang, Chen Liu, Huiyan Li, Bin Deng, Guosheng Yi, Lihui Cai and K.M. Tsang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Jiang Wang

540 papers receiving 9.4k citations

Hit Papers

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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.

Adversarial Examples Improve Image Recognition

2020 247 citations Jiang Wang et al. profile →

Author Peers

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

Author						Papers	Cites
Jiang Wang	4.2k	2.5k	2.0k	1.6k	1.4k	573	9.7k
Alexander Kraskov	3.5k 0.8×	528 0.2×	319 0.2×	387 0.2×	1.0k 0.7×	45	6.6k
Jun Ma	9.1k 2.2×	11.6k 4.7×	4.4k 2.2×	6.6k 4.2×	2.4k 1.7×	630	16.6k
Chin‐Teng Lin	6.8k 1.6×	460 0.2×	3.0k 1.5×	1.4k 0.9×	1.6k 1.1×	791	24.5k
Yan Li	2.4k 0.6×	245 0.1×	951 0.5×	762 0.5×	383 0.3×	503	10.8k
Kenneth A. Loparo	1.2k 0.3×	285 0.1×	2.1k 1.1×	583 0.4×	441 0.3×	359	8.8k
Lidan Wang	831 0.2×	1.3k 0.5×	3.1k 1.6×	1.3k 0.8×	957 0.7×	348	7.1k
Justin Dauwels	3.3k 0.8×	156 0.1×	894 0.5×	557 0.4×	914 0.6×	267	7.0k
John H. Reynolds	8.7k 2.1×	382 0.2×	557 0.3×	271 0.2×	2.6k 1.8×	128	11.9k
Guoqi Li	2.3k 0.5×	217 0.1×	4.1k 2.1×	954 0.6×	1.0k 0.7×	245	8.5k
Yanfeng Wang	409 0.1×	793 0.3×	1.6k 0.8×	676 0.4×	234 0.2×	331	4.4k

Countries citing papers authored by Jiang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jiang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Wang. A scholar is included among the top collaborators of Jiang 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 Jiang Wang. Jiang 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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20 of 20 papers shown

Gao, Wenjuan, et al.. (2025). Relationship Between Career Adaptability and Competitive Attitudes Among Chinese College Students. Journal of Adolescence. 97(4). 1026–1033.

Yu, Haitao, et al.. (2025). Neural Manifold Decoder for Acupuncture Stimulations With Representation Learning: An Acupuncture-Brain Interface. IEEE Journal of Biomedical and Health Informatics. 29(6). 4147–4160. 12 indexed citations

Yu, Haitao, et al.. (2024). Kinematic-driven human-robot interaction system with deep learning for flexible acupuncture needling manipulations. Biomedical Signal Processing and Control. 92. 106098–106098. 5 indexed citations

Wang, Jiang, et al.. (2024). Analyzing sleep thermal comfort with an attention-based gated recurrent unit neural network. Building and Environment. 262. 111831–111831. 1 indexed citations

Wang, Jiang, Zhenting Xie, Xun Zhu, et al.. (2024). Characterization of dynamics and heat transfer in electro-spray at elevated flow rates. International Journal of Heat and Mass Transfer. 226. 125473–125473. 6 indexed citations

Yu, Haitao, et al.. (2024). Evaluation of Acupuncture Efficacy in Modulating Brain Activity With Periodic-Aperiodic EEG Measurements. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2450–2459. 39 indexed citations

Zhang, Pengjie, Bing Liu, Xihui Mu, et al.. (2023). Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms. Molecules. 29(1). 197–197. 4 indexed citations

Huang, Xuelin, Xile Wei, Jiang Wang, & Guosheng Yi. (2023). Dendritic filtering determines the frequency-dependent spike train correlations. Neurocomputing. 572. 127211–127211. 2 indexed citations

Wang, Jiang, Siyuan Chang, Zhen Zhang, et al.. (2023). Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations. IEEE Transactions on Biomedical Circuits and Systems. 18(1). 16–26. 1 indexed citations

10.

Gu, Yu, Jiang Wang, Zhenyan Liang, & Zhen Zhang. (2023). Communication-Free Power Control Algorithm for Drone Wireless In-Flight Charging Under Dual-Disturbance of Mutual Inductance and Load. IEEE Transactions on Industrial Informatics. 20(3). 3703–3714. 11 indexed citations

11.

Gu, Yu, Jiang Wang, Zhenyan Liang, & Zhen Zhang. (2023). A Wireless In-Flight Charging Range Extended PT-WPT System Using S/Single-Inductor-Double-Capacitor Compensation Network for Drones. IEEE Transactions on Power Electronics. 38(10). 11847–11858. 10 indexed citations

12.

Wang, Ziyu, et al.. (2023). Mesencephalic astrocyte-derived neurotrophic factor (MANF) alleviates cerebral ischemia/reperfusion injury in mice by regulating microglia polarization via A20/NF-κB pathway. International Immunopharmacology. 127. 111396–111396. 12 indexed citations

13.

Pan, Yuzhuo, et al.. (2023). A Cascaded Modular Isolated Back-to-Back Solid State Transformer Scheme for AC/DC/AC Interconnection With Improved Performance and Simple Control. IEEE Transactions on Power Electronics. 38(9). 11050–11068. 7 indexed citations

14.

Gu, Yu, Jiang Wang, Zhenyan Liang, & Zhen Zhang. (2022). Mutual-Inductance-Dynamic-Predicted Constant Current Control of LCC-P Compensation Network for Drone Wireless In-Flight Charging. IEEE Transactions on Industrial Electronics. 69(12). 12710–12719. 34 indexed citations

15.

Wang, Jiang, et al.. (2022). Memristor-Based Lozi Map with Hidden Hyperchaos. Mathematics. 10(19). 3426–3426. 22 indexed citations

16.

Zhang, Kuo, Xue Zhao, Shasha Ding, et al.. (2020). Applying Complex Network and Cell‐Cell Communication Network Diagram Methods to Explore the Key Cytokines and Immune Cells in Local Acupoint Involved in Acupuncture Treating Inflammatory Pain. Evidence-based Complementary and Alternative Medicine. 2020(1). 2585960–2585960. 9 indexed citations

17.

Gu, Yu, et al.. (2020). Single-Transmitter Multiple-Pickup Wireless Power Transfer: Advantages, Challenges, and Corresponding Technical Solutions. IEEE Industrial Electronics Magazine. 14(4). 123–135. 22 indexed citations

18.

Wei, Xile, et al.. (2019). Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 339–349. 27 indexed citations

19.

Zhang, Zhen, Hongliang Pang, & Jiang Wang. (2018). Multiple Objective-Based Optimal Energy Distribution for Wireless Power Transfer. IEEE Transactions on Magnetics. 54(11). 1–5. 9 indexed citations

20.

Yu, Haitao, Xinyu Wu, Lihui Cai, Bin Deng, & Jiang Wang. (2018). Modulation of Spectral Power and Functional Connectivity in Human Brain by Acupuncture Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(5). 977–986. 114 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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