Kun‐Han Lu

1.1k total citations
22 papers, 664 citations indexed

About

Kun‐Han Lu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Kun‐Han Lu has authored 22 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Neurology. Recurrent topics in Kun‐Han Lu's work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (5 papers) and Vagus Nerve Stimulation Research (4 papers). Kun‐Han Lu is often cited by papers focused on Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (5 papers) and Vagus Nerve Stimulation Research (4 papers). Kun‐Han Lu collaborates with scholars based in United States, Australia and Mexico. Kun‐Han Lu's co-authors include Haiguang Wen, Jiayue Cao, Yizhen Zhang, Zhongming Liu, Junxing Shi, Zhongming Liu, Terry L. Powley, Zhongming Liu, Di Fu and Kuan Han and has published in prestigious journals such as PLoS ONE, NeuroImage and Cancer Research.

In The Last Decade

Kun‐Han Lu

21 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun‐Han Lu United States 13 427 127 96 85 66 22 664
Jiayue Cao United States 10 223 0.5× 42 0.3× 71 0.7× 54 0.6× 84 1.3× 16 416
Scott A. Beardsley United States 12 366 0.9× 155 1.2× 58 0.6× 37 0.4× 50 0.8× 46 631
Gholam‐Ali Hossein‐Zadeh Iran 17 626 1.5× 179 1.4× 29 0.3× 59 0.7× 46 0.7× 89 812
Xiangguo Yan China 16 615 1.4× 76 0.6× 72 0.8× 51 0.6× 98 1.5× 34 816
Suresh Joel United States 14 324 0.8× 270 2.1× 113 1.2× 75 0.9× 68 1.0× 17 783
Chunlan Yang China 12 181 0.4× 253 2.0× 49 0.5× 60 0.7× 15 0.2× 37 528
Shengpei Wang China 14 274 0.6× 225 1.8× 65 0.7× 98 1.2× 67 1.0× 41 604
Thomas Potter United States 17 495 1.2× 174 1.4× 62 0.6× 19 0.2× 64 1.0× 52 801
Ting Ma China 15 234 0.5× 194 1.5× 102 1.1× 86 1.0× 61 0.9× 83 657
Zhongming Liu United States 11 223 0.5× 34 0.3× 84 0.9× 33 0.4× 36 0.5× 23 416

Countries citing papers authored by Kun‐Han Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Han Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Han Lu. 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 Kun‐Han Lu. The network helps show where Kun‐Han Lu may publish in the future.

Co-authorship network of co-authors of Kun‐Han Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Han Lu. A scholar is included among the top collaborators of Kun‐Han Lu 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 Kun‐Han Lu. Kun‐Han Lu 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.
2.
Lu, Kun‐Han, Nazlı Dizman, Regina Barragán-Carrillo, et al.. (2023). CT-based radiomics model for the prediction of genomic alterations in renal cell carcinoma (RCC). The Oncologist. 28(Supplement_1). S15–S15.
3.
Biscola, Natália P., Leif A. Havton, Bartek Rajwa, et al.. (2022). High-throughput segmentation of unmyelinated axons by deep learning. Scientific Reports. 12(1). 1198–1198. 13 indexed citations
4.
Lu, Kun‐Han, Zhongming Liu, Deborah Jaffey, et al.. (2021). Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging. Neurogastroenterology & Motility. 34(1). e14239–e14239. 15 indexed citations
5.
Acosta, Glen, Jiayue Cao, Kun‐Han Lu, et al.. (2021). Psychosocial impairment following mild blast-induced traumatic brain injury in rats. Behavioural Brain Research. 412. 113405–113405. 7 indexed citations
6.
Lu, Kun‐Han, Jiayue Cao, Robert Phillips, Terry L. Powley, & Zhongming Liu. (2020). Acute effects of vagus nerve stimulation parameters on gastric motility assessed with magnetic resonance imaging. Neurogastroenterology & Motility. 32(7). e13853–e13853. 20 indexed citations
7.
Cox, Abigail, et al.. (2020). In Vivo Magnetic Resonance Imaging of the Rat Vocal Folds After Systemic Dehydration and Rehydration. Journal of Speech Language and Hearing Research. 63(1). 135–142. 8 indexed citations
8.
Cao, Jiayue, Kun‐Han Lu, Zhenjun Tan, et al.. (2020). SPARC: Brain‐stomach Synchrony Observed with Functional Magnetic Resonance Imaging and Electrogastrogram in Rats. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
9.
Sclocco, Roberta, Christopher Nguyen, Harrison Fisher, et al.. (2020). SPARC: Respiratory‐Gated Transcutaneous Vagus Nerve Stimulation Modulates Gastric Function in Functional Dyspepsia. The FASEB Journal. 34(S1). 1–1. 1 indexed citations
10.
Cao, Jiayue, Kun‐Han Lu, Robert Phillips, et al.. (2019). Gastric stimulation drives fast BOLD responses of neural origin. NeuroImage. 197. 200–211. 22 indexed citations
11.
Han, Kuan, Haiguang Wen, Junxing Shi, et al.. (2019). Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex. NeuroImage. 198. 125–136. 101 indexed citations
12.
Lynch, Lauren, Kun‐Han Lu, Haiguang Wen, et al.. (2018). Task‐evoked functional connectivity does not explain functional connectivity differences between rest and task conditions. Human Brain Mapping. 39(12). 4939–4948. 38 indexed citations
13.
Lu, Kun‐Han, Zhongming Liu, Matthew Ward, et al.. (2017). Chronic cuffing of cervical vagus nerve inhibits efferent fiber integrity in rat model. Journal of Neural Engineering. 15(3). 36018–36018. 27 indexed citations
14.
Cao, Jiayue, Kun‐Han Lu, Terry L. Powley, & Zhongming Liu. (2017). Vagal nerve stimulation triggers widespread responses and alters large-scale functional connectivity in the rat brain. PLoS ONE. 12(12). e0189518–e0189518. 54 indexed citations
15.
Zhang, Yizhen, Gang Chen, Haiguang Wen, Kun‐Han Lu, & Zhongming Liu. (2017). Musical Imagery Involves Wernicke’s Area in Bilateral and Anti-Correlated Network Interactions in Musicians. Scientific Reports. 7(1). 17066–17066. 24 indexed citations
16.
Lu, Kun‐Han, et al.. (2017). Proton density–weighted laryngeal magnetic resonance imaging in systemically dehydrated rats. The Laryngoscope. 128(6). E222–E227. 10 indexed citations
17.
Wen, Haiguang, Junxing Shi, Yizhen Zhang, et al.. (2017). Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision. Cerebral Cortex. 28(12). 4136–4160. 179 indexed citations
18.
Lu, Kun‐Han, et al.. (2017). Spontaneous activity in the visual cortex is organized by visual streams. Human Brain Mapping. 38(9). 4613–4630. 8 indexed citations
19.
Lu, Kun‐Han, et al.. (2016). Mapping white-matter functional organization at rest and during naturalistic visual perception. NeuroImage. 146. 1128–1141. 82 indexed citations
20.
Lu, Kun‐Han, et al.. (2016). Influences of High-Level Features, Gaze, and Scene Transitions on the Reliability of BOLD Responses to Natural Movie Stimuli. PLoS ONE. 11(8). e0161797–e0161797. 21 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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