Hemmings Wu

1.1k total citations
37 papers, 577 citations indexed

About

Hemmings Wu is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hemmings Wu has authored 37 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 13 papers in Cognitive Neuroscience and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hemmings Wu's work include Neurological disorders and treatments (13 papers), EEG and Brain-Computer Interfaces (7 papers) and Neural dynamics and brain function (5 papers). Hemmings Wu is often cited by papers focused on Neurological disorders and treatments (13 papers), EEG and Brain-Computer Interfaces (7 papers) and Neural dynamics and brain function (5 papers). Hemmings Wu collaborates with scholars based in China, United States and Belgium. Hemmings Wu's co-authors include Casey H. Halpern, Robert C. Malenka, Bart Nuttin, Kris van Kuyck, Junming Zhu, Loes Gabriëls, Jai S. Polepalli, Thomas C. Südhof, Debanjan Goswami and Daniel J. Christoffel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Hemmings Wu

33 papers receiving 572 citations

Peers

Hemmings Wu

NEURO

CMN

NEURO

Aoling Cai China

Sühan Senova France

Tomáš Sieger Czechia

Cécilia Bonnet France

Shuqin Zhan China

Garrett P. Banks United States

Sylvie Piacentini Italy

Nivedita Agarwal Italy

Arpan R. Mehta United Kingdom

Paula Trujillo United States

Aoling Cai China

Hemmings Wu

208 ×0.9

NEURO

73 ×0.4

66 ×0.4

CMN

61 ×0.4

89 ×0.8

NEURO

Citations per year, relative to Hemmings Wu Hemmings Wu (= 1×) peers Aoling Cai

Countries citing papers authored by Hemmings Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hemmings Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hemmings Wu

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

Wu, Hemmings, et al.. (2026). NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis. IEEE Journal of Biomedical and Health Informatics. PP. 1–13.

Gao, Weijun, Liang Yue, Hongjie Jiang, et al.. (2025). Proteomic profiling in cerebrospinal fluid reveal biomarkers for shunt outcome in idiopathic normal-pressure hydrocephalus. Journal of Advanced Research. 80. 671–682.

Dai, Xinyi, Wenlu Song, Jiayi Wu, et al.. (2025). The role of PGC-1α in brain injury: mechanisms and therapeutic potential. 1 indexed citations

Qi, Yu, Nai Ding, Hemmings Wu, et al.. (2025). Human motor cortex encodes complex handwriting through a sequence of stable neural states. Nature Human Behaviour. 9(6). 1260–1271. 1 indexed citations

Han, Jiawei, Minmin Wang, Zhihua Yu, et al.. (2024). Dynamic lateralization in contralateral-projecting corticospinal neurons during motor learning. iScience. 27(11). 111078–111078.

Wu, Hemmings, Feng Chen, Zhe Zheng, et al.. (2024). Speech decoding using cortical and subcortical electrophysiological signals. Frontiers in Neuroscience. 18. 1345308–1345308. 2 indexed citations

Han, Jiawei, Feng Chen, Hongjie Jiang, et al.. (2023). Individualized targeting is warranted in subcallosal cingulate gyrus deep brain stimulation for treatment‐resistant depression: A tractography analysis. Human Brain Mapping. 44(11). 4200–4210. 3 indexed citations

Chen, Yun-Hsuan, Jie Yang, Hemmings Wu, Kevin T. Beier, & Mohamad Sawan. (2023). Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction. Frontiers in Psychiatry. 14. 1085036–1085036. 8 indexed citations

Zhu, Junming, et al.. (2022). Traumatic Brain Injury, Bulging Eyeball, and Skin Lumps. World Neurosurgery. 168. 207–208.

10.

Chen, Feng, Hongjie Jiang, Zhe Zheng, et al.. (2022). White Matter Tracts Associated With Deep Brain Stimulation Targets in Major Depressive Disorder: A Systematic Review. Frontiers in Psychiatry. 13. 806916–806916. 4 indexed citations

11.

Barbosa, Daniel A. N., Hongjie Jiang, Zhe Zheng, et al.. (2021). A connectomic analysis of deep brain stimulation for treatment-resistant depression. Brain stimulation. 14(5). 1226–1233. 27 indexed citations

12.

Wang, Ziyu, Jie Yang, Hemmings Wu, Junming Zhu, & Mohamad Sawan. (2021). Power efficient refined seizure prediction algorithm based on an enhanced benchmarking. Scientific Reports. 11(1). 23498–23498. 16 indexed citations

13.

Zheng, Zhe, Hongjie Jiang, Hemmings Wu, et al.. (2021). Epilepsy surgery for low-grade epilepsy-associated neuroepithelial tumor of temporal lobe: a single-institution experience of 61 patients. Neurological Sciences. 43(5). 3333–3341. 6 indexed citations

14.

Christoffel, Daniel J., Jessica J. Walsh, Boris D. Heifets, et al.. (2021). Input-specific modulation of murine nucleus accumbens differentially regulates hedonic feeding. Nature Communications. 12(1). 2135–2135. 41 indexed citations

15.

Ho, Allen L., Austin Y. Feng, Daniel A. N. Barbosa, et al.. (2021). Accumbens coordinated reset stimulation in mice exhibits ameliorating aftereffects on binge alcohol drinking. Brain stimulation. 14(2). 330–334. 10 indexed citations

16.

Wu, Hemmings, Kai J. Miller, Zack Blumenfeld, et al.. (2017). Closing the loop on impulsivity via nucleus accumbens delta-band activity in mice and man. Proceedings of the National Academy of Sciences. 115(1). 192–197. 64 indexed citations

17.

Wu, Hemmings, Tim Tambuyzer, Kris van Kuyck, et al.. (2016). Field Potential Oscillations in the Bed Nucleus of the Stria Terminalis Correlate with Compulsion in a Rat Model of Obsessive-Compulsive Disorder. Journal of Neuroscience. 36(39). 10050–10059. 11 indexed citations

18.

Wu, Hemmings, et al.. (2015). Conceptualization and validation of an open-source closed-loop deep brain stimulation system in rat. Scientific Reports. 5(1). 46954–46954. 21 indexed citations

19.

Wu, Hemmings, Kris van Kuyck, Tim Tambuyzer, et al.. (2014). Rethinking Food Anticipatory Activity in the Activity-Based Anorexia Rat Model. Scientific Reports. 4(1). 3929–3929. 26 indexed citations

20.

Nuttin, Bart, Frans Gielen, Kris van Kuyck, et al.. (2012). Targeting Bed Nucleus of the Stria Terminalis for Severe Obsessive-Compulsive Disorder: More Unexpected Lead Placement in Obsessive-Compulsive Disorder than in Surgery for Movement Disorders. World Neurosurgery. 80(3-4). S30.e11–S30.e16. 27 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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