Hanbing Lu

4.6k total citations
74 papers, 3.4k citations indexed

About

Hanbing Lu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hanbing Lu has authored 74 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 28 papers in Cellular and Molecular Neuroscience and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hanbing Lu's work include Functional Brain Connectivity Studies (41 papers), Neural dynamics and brain function (25 papers) and Advanced MRI Techniques and Applications (25 papers). Hanbing Lu is often cited by papers focused on Functional Brain Connectivity Studies (41 papers), Neural dynamics and brain function (25 papers) and Advanced MRI Techniques and Applications (25 papers). Hanbing Lu collaborates with scholars based in United States, China and Taiwan. Hanbing Lu's co-authors include Elliot A. Stein, Yihong Yang, Hong Gu, James S. Hyde, Qihong Zou, Marcus E. Raichle, William Rea, Pei Liang, Kevin M. Bennett and Kathleen M. Schmainda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Hanbing Lu

74 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanbing Lu United States 27 1.8k 1.3k 845 241 209 74 3.4k
Nicola Palomero‐Gallagher Germany 46 4.1k 2.3× 1.4k 1.1× 1.2k 1.5× 656 2.7× 300 1.4× 125 6.5k
Mohamed Ali Bahri Belgium 35 1.6k 0.9× 533 0.4× 428 0.5× 393 1.6× 489 2.3× 119 3.5k
Jens Steinbrink Germany 36 1.9k 1.0× 2.8k 2.2× 491 0.6× 177 0.7× 593 2.8× 94 5.1k
Joseph P. Culver United States 43 2.3k 1.2× 5.2k 4.0× 615 0.7× 339 1.4× 237 1.1× 186 8.1k
Hideaki Koizumi Japan 35 1.8k 1.0× 2.2k 1.7× 131 0.2× 131 0.5× 83 0.4× 98 4.8k
Péter Hermán United States 28 1.4k 0.8× 1.0k 0.8× 562 0.7× 496 2.1× 205 1.0× 81 3.3k
Ulrike Dydak United States 31 870 0.5× 954 0.7× 687 0.8× 306 1.3× 450 2.2× 90 3.3k
Martyn G. Boutelle United Kingdom 43 654 0.4× 379 0.3× 1.7k 2.0× 963 4.0× 817 3.9× 121 5.1k
Bettina Pfleiderer Germany 42 2.2k 1.2× 751 0.6× 710 0.8× 330 1.4× 199 1.0× 148 5.6k
Kâmil Uludaǧ Germany 40 3.1k 1.7× 3.8k 2.9× 468 0.6× 204 0.8× 583 2.8× 127 6.0k

Countries citing papers authored by Hanbing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hanbing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanbing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hanbing Lu. A scholar is included among the top collaborators of Hanbing 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 Hanbing Lu. Hanbing 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.
Lu, Hanbing, et al.. (2024). Neuronal basis of high frequency fMRI fluctuation: direct evidence from simultaneous recording. Frontiers in Human Neuroscience. 18. 1501310–1501310. 1 indexed citations
2.
Ma, Zilu, Ying Duan, Ida Fredriksson, et al.. (2024). Role of dorsal striatum circuits in relapse to opioid seeking after voluntary abstinence. Neuropsychopharmacology. 50(2). 452–460. 4 indexed citations
3.
Lu, Hanbing & Yihong Yang. (2024). Leveraging large-scale brain networks in rats to understand neurological and psychiatric disorders in humans. Neuropsychopharmacology. 50(1). 337–338. 1 indexed citations
4.
Bonaventura, Jordi, Matthew A. Boehm, Hank P. Jedema, et al.. (2023). Expression of the excitatory opsin ChRERα can be traced longitudinally in rat and nonhuman primate brains with PET imaging. Science Translational Medicine. 15(706). eadd1014–eadd1014. 4 indexed citations
5.
6.
Kesner, Andrew J., Rick Shin, Leslie A. Ramsey, et al.. (2021). Supramammillary neurons projecting to the septum regulate dopamine and motivation for environmental interaction in mice. Nature Communications. 12(1). 2811–2811. 24 indexed citations
7.
Keeley, Robin J., Li‐Ming Hsu, Julia K. Brynildsen, et al.. (2020). Intrinsic differences in insular circuits moderate the negative association between nicotine dependence and cingulate-striatal connectivity strength. Neuropsychopharmacology. 45(6). 1042–1049. 12 indexed citations
8.
Hsu, Li‐Ming, Robin J. Keeley, Xia Liang, et al.. (2019). Intrinsic Insular-Frontal Networks Predict Future Nicotine Dependence Severity. Journal of Neuroscience. 39(25). 5028–5037. 16 indexed citations
9.
Keeley, Robin J., et al.. (2019). Differential expression of nicotine withdrawal as a function of developmental age in the rat. Pharmacology Biochemistry and Behavior. 187. 172802–172802. 3 indexed citations
10.
Brynildsen, Julia K., Li‐Ming Hsu, D. Bruce Vaupel, et al.. (2016). A novel method to induce nicotine dependence by intermittent drug delivery using osmotic minipumps. Pharmacology Biochemistry and Behavior. 142. 79–84. 14 indexed citations
11.
Lu, Hanbing, Qihong Zou, Svetlana I. Chefer, et al.. (2014). Abstinence from Cocaine and Sucrose Self-Administration Reveals Altered Mesocorticolimbic Circuit Connectivity by Resting State MRI. Brain Connectivity. 4(7). 499–510. 31 indexed citations
12.
Lu, Hanbing, Leiming Wang, Julia K. Brynildsen, et al.. (2014). Low- but Not High-Frequency LFP Correlates with Spontaneous BOLD Fluctuations in Rat Whisker Barrel Cortex. Cerebral Cortex. 26(2). bhu248–bhu248. 34 indexed citations
13.
Lu, Hanbing & Elliot A. Stein. (2013). Resting state functional connectivity: Its physiological basis and application in neuropharmacology. Neuropharmacology. 84. 79–89. 46 indexed citations
14.
Lu, Hanbing, Svetlana I. Chefer, Karine Guillem, et al.. (2012). fMRI response in the medial prefrontal cortex predicts cocaine but not sucrose self-administration history. NeuroImage. 62(3). 1857–1866. 19 indexed citations
15.
Wu, Changwei W., Hong Gu, Qihong Zou, et al.. (2011). TE-dependent spatial and spectral specificity of functional connectivity. NeuroImage. 59(4). 3075–3084. 13 indexed citations
16.
Lu, Hanbing, Renata Ferranti Leoni, Afonso C. Silva, Elliot A. Stein, & Yihong Yang. (2010). High‐field continuous arterial spin labeling with long labeling duration: Reduced confounds from blood transit time and postlabeling delay. Magnetic Resonance in Medicine. 64(6). 1557–1566. 10 indexed citations
17.
Luo, Qingfei, et al.. (2009). Comparison of visually evoked local field potentials in isolated turtle brain: Patterned versus blank stimulation. Journal of Neuroscience Methods. 187(1). 26–32. 2 indexed citations
18.
Lu, Hanbing, Clara A. Scholl, Yantao Zuo, et al.. (2009). Registering and analyzing rat fMRI data in the stereotaxic framework by exploiting intrinsic anatomical features. Magnetic Resonance Imaging. 28(1). 146–152. 40 indexed citations
19.
Lu, Hanbing, Clara A. Scholl, Yantao Zuo, Elliot A. Stein, & Yihong Yang. (2007). Quantifying the blood oxygenation level dependent effect in cerebral blood volume–weighted functional MRI at 9.4T. Magnetic Resonance in Medicine. 58(3). 616–621. 31 indexed citations
20.
Lu, Hanbing, Andrzej Jesmanowicz, Shi‐Jiang Li, & James S. Hyde. (2003). Momentum‐weighted conjugate gradient descent algorithm for gradient coil optimization. Magnetic Resonance in Medicine. 51(1). 158–164. 11 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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