Bing‐Xing Huo

1.5k total citations
10 papers, 248 citations indexed

About

Bing‐Xing Huo is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Bing‐Xing Huo has authored 10 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Neurology. Recurrent topics in Bing‐Xing Huo's work include Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Bing‐Xing Huo is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Bing‐Xing Huo collaborates with scholars based in United States, Australia and Japan. Bing‐Xing Huo's co-authors include Patrick J. Drew, Jared B. Smith, Yu‐Rong Gao, Partha P. Mitra, Marcello G. P. Rosa, Hideyuki Okano, Keerthi Ram, Junichi Hata, Erika Sasaki and Atsushi Iriki and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Cancer Research.

In The Last Decade

Bing‐Xing Huo

9 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing‐Xing Huo United States	8	139	64	64	30	25	10	248
Lindsey M. Brier United States	8	126 0.9×	77 1.2×	52 0.8×	28 0.9×	11 0.4×	16	233
Jacob Portes United States	2	181 1.3×	86 1.3×	86 1.3×	10 0.3×	11 0.4×	2	233
Domenic H. Cerri United States	10	209 1.5×	125 2.0×	78 1.2×	17 0.6×	9 0.4×	15	317
Franziska Albers Germany	10	209 1.5×	158 2.5×	123 1.9×	21 0.7×	9 0.4×	14	333
Kaiwei Zhang China	9	131 0.9×	87 1.4×	66 1.0×	17 0.6×	4 0.2×	33	256
Clément M. Garin France	9	121 0.9×	51 0.8×	66 1.0×	10 0.3×	18 0.7×	16	231
Aaron T. Winder United States	5	213 1.5×	126 2.0×	132 2.1×	36 1.2×	4 0.2×	7	334
Antonio G. Zippo Italy	12	150 1.1×	76 1.2×	26 0.4×	57 1.9×	4 0.2×	31	315
Andrew J. Weitz United States	7	275 2.0×	265 4.1×	45 0.7×	73 2.4×	11 0.4×	9	399
Zachary P. Rosenthal United States	8	172 1.2×	101 1.6×	58 0.9×	26 0.9×	4 0.2×	14	265

Countries citing papers authored by Bing‐Xing Huo

Since Specialization

Citations

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

Fields of papers citing papers by Bing‐Xing Huo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing‐Xing Huo. 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 Bing‐Xing Huo. The network helps show where Bing‐Xing Huo may publish in the future.

Co-authorship network of co-authors of Bing‐Xing Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Bing‐Xing Huo. A scholar is included among the top collaborators of Bing‐Xing Huo 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 Bing‐Xing Huo. Bing‐Xing Huo 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:

10 of 10 papers shown

Charbonneau, Amanda, Arthur Brady, Somnath Saha, et al.. (2025). Abstract 1064: Cancer data aggregator: a new cancer data discovery tool. Cancer Research. 85(8_Supplement_1). 1064–1064.

Ascoli, Giorgio A., Bing‐Xing Huo, & Partha P. Mitra. (2022). Sizing up whole-brain neuronal tracing. Science Bulletin. 67(9). 883–884. 1 indexed citations

Banerjee, Samik, Dingkang Wang, Xu Li, et al.. (2020). Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks. Nature Machine Intelligence. 2(10). 585–594. 21 indexed citations

Huo, Bing‐Xing, Junichi Hata, Ulrike Grünert, et al.. (2019). Relation of koniocellular layers of dorsal lateral geniculate to inferior pulvinar nuclei in common marmosets. European Journal of Neuroscience. 50(12). 4004–4017. 10 indexed citations

Huo, Bing‐Xing, Junichi Hata, Alexander Tolpygo, et al.. (2019). A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset. eLife. 8. 39 indexed citations

Majka, Piotr, Marcello G. P. Rosa, Jonathan M. Chan, et al.. (2018). Unidirectional monosynaptic connections from auditory areas to the primary visual cortex in the marmoset monkey. Brain Structure and Function. 224(1). 111–131. 26 indexed citations

Huo, Bing‐Xing, et al.. (2015). Venous cerebral blood volume increase during voluntary locomotion reflects cardiovascular changes. NeuroImage. 118. 301–312. 18 indexed citations

Smith, Jared B., et al.. (2015). Brief anesthesia, but not voluntary locomotion, significantly alters cortical temperature. Journal of Neurophysiology. 114(1). 309–322. 26 indexed citations

Huo, Bing‐Xing, Yu‐Rong Gao, & Patrick J. Drew. (2014). Quantitative separation of arterial and venous cerebral blood volume increases during voluntary locomotion. NeuroImage. 105. 369–379. 41 indexed citations

10.

Huo, Bing‐Xing, Jared B. Smith, & Patrick J. Drew. (2014). Neurovascular Coupling and Decoupling in the Cortex during Voluntary Locomotion. Journal of Neuroscience. 34(33). 10975–10981. 66 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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