Qi Zhu

2.3k total citations
43 papers, 1.6k citations indexed

About

Qi Zhu is a scholar working on Cognitive Neuroscience, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qi Zhu has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 8 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qi Zhu's work include Face Recognition and Perception (16 papers), Neural dynamics and brain function (14 papers) and Functional Brain Connectivity Studies (10 papers). Qi Zhu is often cited by papers focused on Face Recognition and Perception (16 papers), Neural dynamics and brain function (14 papers) and Functional Brain Connectivity Studies (10 papers). Qi Zhu collaborates with scholars based in United States, China and Belgium. Qi Zhu's co-authors include Wim Vanduffel, Jia Liu, Xiaolian Gao, Mingzhou Li, Xiaochuan Zhou, Tao Wang, Xiaoyan Wang, Qingzhi Li, Xin Wang and Qi Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Qi Zhu

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi Zhu United States	18	727	572	484	188	123	43	1.6k
Liping Yu United States	23	396 0.5×	313 0.5×	152 0.3×	449 2.4×	4 0.0×	54	1.3k
Jesse Katon United States	16	288 0.4×	341 0.6×	145 0.3×	26 0.1×	41 0.3×	23	1.4k
Tilo Buschmann Germany	10	508 0.7×	234 0.4×	67 0.1×	133 0.7×	12 0.1×	13	1.2k
Daniel J. Miller United States	16	338 0.5×	430 0.8×	55 0.1×	27 0.1×	6 0.0×	38	1.5k
Adélaïde de Heering Belgium	17	932 1.3×	151 0.3×	22 0.0×	483 2.6×	239 1.9×	36	1.3k
Thomas A. Eskin United States	25	246 0.3×	436 0.8×	57 0.1×	21 0.1×	17 0.1×	64	1.7k
Fred C. Chu United States	19	1.3k 1.8×	435 0.8×	18 0.0×	107 0.6×	23 0.2×	43	2.3k
Christopher W. Bartlett United States	21	476 0.7×	276 0.5×	33 0.1×	145 0.8×	4 0.0×	58	1.4k
H. Toda Japan	17	94 0.1×	472 0.8×	54 0.1×	39 0.2×	24 0.2×	39	1.3k
Katsumi Otani Japan	19	270 0.4×	280 0.5×	53 0.1×	33 0.2×	9 0.1×	55	1.1k

Countries citing papers authored by Qi Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Qi Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Zhu

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

Song, Xin, et al.. (2025). TFMSNet: A time series forecasting framework with time–frequency analysis and multi-scale processing. Computers & Electrical Engineering. 123. 110260–110260.

Zhu, Qi, Xiaolian Li, Ivo D. Popivanov, et al.. (2025). Mesoscale functional organization of face and body areas in the macaque brain. Nature Communications. 16(1). 8862–8862. 1 indexed citations

Zhu, Qi, et al.. (2025). Differential expression of bovine milk-derived exosomal miRNAs and their role in modulating endometrial receptivity during early pregnancy. Research in Veterinary Science. 190. 105636–105636. 1 indexed citations

Zhu, Qi, et al.. (2025). Fast face-selective responses in prefrontal face patches of the macaque. Cell Reports. 44(3). 115389–115389. 1 indexed citations

Wang, Yongyao, et al.. (2025). A lightweight YOLOv11-based framework for small steel defect detection with a newly enhanced feature fusion module. Scientific Reports. 15(1). 34322–34322.

Clavagnier, Simon, et al.. (2024). Multiple focal pulvinar projection fields in the macaque cortex. Imaging Neuroscience. 2. 3 indexed citations

Balan, Puiu F., Qi Zhu, Xiaolian Li, et al.. (2024). MEBRAINS 1.0: A new population-based macaque atlas. Imaging Neuroscience. 2. 6 indexed citations

Wang, Limin, Haining Lv, Dan Liu, et al.. (2023). Targeting endometrial inflammation in intrauterine adhesion ameliorates endometrial fibrosis by priming MSCs to secrete C1INH. iScience. 26(7). 107201–107201. 26 indexed citations

Li, Xiaolian, Qi Zhu, & Wim Vanduffel. (2022). Submillimeter fMRI reveals an extensive, fine-grained and functionally-relevant scene-processing network in monkeys. Progress in Neurobiology. 211. 102230–102230. 11 indexed citations

10.

Li, Xiaolian, Qi Zhu, & Wim Vanduffel. (2021). Myelin densities in retinotopically defined dorsal visual areas of the macaque. Brain Structure and Function. 226(9). 2869–2880. 3 indexed citations

11.

Russ, Brian E., Christopher I. Petkov, Sze Chai Kwok, et al.. (2021). Common functional localizers to enhance NHP & cross-species neuroscience imaging research. NeuroImage. 237. 118203–118203. 10 indexed citations

12.

Arsenault, John T., Xiaolian Li, Qi Zhu, et al.. (2020). Selective Mesoaccumbal Pathway Inactivation Affects Motivation but Not Reinforcement-Based Learning in Macaques. Neuron. 108(3). 568–581.e6. 24 indexed citations

13.

Zhu, Qi & Wim Vanduffel. (2019). Submillimeter fMRI reveals a layout of dorsal visual cortex in macaques, remarkably similar to New World monkeys. Proceedings of the National Academy of Sciences. 116(6). 2306–2311. 30 indexed citations

14.

Balan, Puiu F., Annelies Gerits, Qi Zhu, et al.. (2018). Fast Compensatory Functional Network Changes Caused by Reversible Inactivation of Monkey Parietal Cortex. Cerebral Cortex. 29(6). 2588–2606. 6 indexed citations

15.

Song, Yiying, Qi Zhu, Jingguang Li, Xu Wang, & Jia Liu. (2015). Typical and Atypical Development of Functional Connectivity in the Face Network. Journal of Neuroscience. 35(43). 14624–14635. 37 indexed citations

16.

Findling, Robert L., Armin Szegedi, Janelle M. Koppenhaver, et al.. (2015). Asenapine for the Acute Treatment of Pediatric Manic or Mixed Episode of Bipolar I Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 54(12). 1032–1041. 40 indexed citations

17.

Huang, Yi, Zonglei Zhen, Yiying Song, et al.. (2013). Motor Training Increases the Stability of Activation Patterns in the Primary Motor Cortex. PLoS ONE. 8(1). e53555–e53555. 18 indexed citations

18.

Zhu, Qi, Yiying Song, Siyuan Hu, et al.. (2010). Heritability of the Specific Cognitive Ability of Face Perception. Current Biology. 20(2). 137–142. 187 indexed citations

19.

Zhu, Qi, et al.. (2009). The Part Task of the Part-Spacing Paradigm Is Not a Pure Measurement of Part-Based Information of Faces. PLoS ONE. 4(7). e6239–e6239. 8 indexed citations

20.

Scherer, Roberta W., Qi Zhu, Patricia Langenberg, et al.. (2003). Comparison of information obtained by operative note abstraction with that recorded on a standardized data collection form. Surgery. 133(3). 324–330. 20 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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