Zhifeng Liang

2.5k total citations
49 papers, 1.6k citations indexed

About

Zhifeng Liang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhifeng Liang has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhifeng Liang's work include Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (20 papers) and Photoreceptor and optogenetics research (10 papers). Zhifeng Liang is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (20 papers) and Photoreceptor and optogenetics research (10 papers). Zhifeng Liang collaborates with scholars based in China, United States and Denmark. Zhifeng Liang's co-authors include Nanyin Zhang, Jean A. King, Glenn D. R. Watson, Xiao Liu, Chuanjun Tong, Yuncong Ma, Kevin D. Alloway, Kaiwei Zhang, Jared B. Smith and Patrick J. Drew and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Zhifeng Liang

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhifeng Liang China 21 1.1k 577 517 121 102 49 1.6k
David M. Rector United States 26 1.6k 1.4× 760 1.3× 458 0.9× 124 1.0× 59 0.6× 87 2.5k
Mathew E. Brevard United States 9 334 0.3× 326 0.6× 368 0.7× 116 1.0× 80 0.8× 9 901
Yuri B. Saalmann United States 22 2.6k 2.4× 781 1.4× 291 0.6× 158 1.3× 164 1.6× 39 3.1k
Jordan P. Hamm United States 28 1.6k 1.4× 736 1.3× 135 0.3× 257 2.1× 86 0.8× 49 2.2k
Nicole A. Young United States 20 597 0.5× 500 0.9× 139 0.3× 138 1.1× 121 1.2× 37 1.2k
Jia Zhu China 21 789 0.7× 546 0.9× 151 0.3× 93 0.8× 48 0.5× 44 1.2k
HC Evrard Germany 19 795 0.7× 438 0.8× 131 0.3× 77 0.6× 92 0.9× 53 1.5k
Olav Jansen Germany 14 746 0.7× 241 0.4× 175 0.3× 71 0.6× 72 0.7× 19 1.3k
Mara Fabri Italy 31 1.8k 1.6× 740 1.3× 563 1.1× 184 1.5× 116 1.1× 91 2.8k
Marian Tsanov Ireland 20 927 0.8× 773 1.3× 110 0.2× 106 0.9× 92 0.9× 28 1.3k

Countries citing papers authored by Zhifeng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Zhifeng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhifeng Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhifeng Liang. A scholar is included among the top collaborators of Zhifeng Liang 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 Zhifeng Liang. Zhifeng Liang 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.
Wu, Xian, et al.. (2025). Load forecasting under distribution shift: An online quantile ensembling approach. Applied Energy. 401. 126812–126812. 1 indexed citations
2.
Liang, Zhifeng, et al.. (2025). Robust single-trial decoding of physical self-motion from hemodynamic signals in the brain measured by functional ultrasound imaging. Proceedings of the National Academy of Sciences. 122(29). e2414354122–e2414354122. 1 indexed citations
3.
Ma, Yuncong, et al.. (2024). Biodegradable Citrate‐Based Polymers Enable 5D Monitoring of Implant Evolution. Advanced Functional Materials. 35(5). 7 indexed citations
4.
Li, Hui, et al.. (2023). Differential Effect of Global Signal Regression Between Awake and Anesthetized Conditions in Mice. Brain Connectivity. 14(1). 48–59. 1 indexed citations
5.
Qiu, Yue, Gen Li, Kaiwei Zhang, et al.. (2023). Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice. Nature Communications. 14(1). 1651–1651. 19 indexed citations
6.
Wang, Fei, Xu Chen, Jun Jiang, et al.. (2023). State-dependent memory retrieval: insights from neural dynamics and behavioral perspectives. Learning & Memory. 30(12). 325–337. 2 indexed citations
7.
Li, Mingzhe, Yuyan Li, Chuanjun Tong, et al.. (2023). Instantaneous antidepressant effect of lateral habenula deep brain stimulation in rats studied with functional MRI. eLife. 12. 9 indexed citations
8.
Xu, Ming, Shile Qi, Vince D. Calhoun, et al.. (2022). Aberrant brain functional and structural developments in MECP2 duplication rats. Neurobiology of Disease. 173. 105838–105838. 6 indexed citations
9.
Gutiérrez‐Jiménez, Eugenio, et al.. (2022). Male and Female C57BL/6 Mice Respond Differently to Awake Magnetic Resonance Imaging Habituation. Frontiers in Neuroscience. 16. 853527–853527. 24 indexed citations
10.
Tong, Chuanjun, Cirong Liu, Kaiwei Zhang, et al.. (2022). Multimodal analysis demonstrating the shaping of functional gradients in the marmoset brain. Nature Communications. 13(1). 6584–6584. 11 indexed citations
11.
Zhao, Siyuan, Gen Li, Chuanjun Tong, et al.. (2020). Full activation pattern mapping by simultaneous deep brain stimulation and fMRI with graphene fiber electrodes. Nature Communications. 11(1). 1788–1788. 104 indexed citations
12.
Tong, Chuanjun, et al.. (2019). Sensory evoked fMRI paradigms in awake mice. NeuroImage. 204. 116242–116242. 55 indexed citations
13.
Smith, Jared B., Glenn D. R. Watson, Zhifeng Liang, et al.. (2019). A Role for the Claustrum in Salience Processing?. Frontiers in Neuroanatomy. 13. 64–64. 68 indexed citations
14.
Ma, Yuncong, Zilu Ma, Zhifeng Liang, Thomas Neuberger, & Nanyin Zhang. (2019). Global brain signal in awake rats. Brain Structure and Function. 225(1). 227–240. 14 indexed citations
15.
Lei, Wei, et al.. (2019). Projection from the Anterior Cingulate Cortex to the Lateral Part of Mediodorsal Thalamus Modulates Vicarious Freezing Behavior. Neuroscience Bulletin. 36(3). 217–229. 16 indexed citations
16.
Gao, Yu‐Rong, Yuncong Ma, Qingguang Zhang, et al.. (2016). Time to wake up: Studying neurovascular coupling and brain-wide circuit function in the un-anesthetized animal. NeuroImage. 153. 382–398. 143 indexed citations
17.
Liang, Zhifeng, et al.. (2015). Mapping the functional network of medial prefrontal cortex by combining optogenetics and fMRI in awake rats. NeuroImage. 117. 114–123. 63 indexed citations
18.
Liang, Zhifeng, Wen Zhou, Qingqi Lin, et al.. (2014). [Anaerobic biodegradation of phthalic acid esters (Paes) in municipal sludge].. PubMed. 25(4). 1163–70. 1 indexed citations
19.
Liang, Zhifeng, Jean A. King, & Nanyin Zhang. (2011). Anticorrelated resting-state functional connectivity in awake rat brain. NeuroImage. 59(2). 1190–1199. 115 indexed citations
20.
Milham, Michael P., Marie T. Banich, Neal J. Cohen, et al.. (1999). Activity of cingulate based attentional system in stroop task is dependent upon response eligibility: A hybrid blocked/event-related fMRI design. NeuroImage. 9. 2 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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