Hanbing Lu

4.7k citations
75 papers · 3.5k · h-index 28

Impact in

Papers in

Hanbing Lu

74 papers receiving 3.4k citations

Peers

Hanbing Lu
Comparison fields: 5 of 138
  • Cognitive Neuroscience 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Cellular and Molecular Neuroscience 819
  • Electrochemistry 154
  • Neurology 158
Replace Nicola Palomero‐Gallagher with:
Nicola Palomero‐Gallagher Germany
Joseph P. Culver United States
Martyn G. Boutelle United Kingdom
Mohamed Ali Bahri Belgium
Andreas Matusch Germany
Kōji Shimizu Japan
Julio Acosta‐Cabronero United Kingdom
Hideaki Koizumi Japan
Kâmil Uludaǧ Germany
Parastoo Hashemi United States
Hanbing Lu relative to Nicola Palomero‐Gallagher Germany Nicola Palomero‐Gallagher's profile →
Citations per field
00.5×1.5×2.3×
Nicola Palomero‐Gallagher · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hanbing Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hanbing Lu Line = papers co-authored together Hanbing Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012436
2 2003377
3 2007344
4 2004212
5 2017176
6 2008130
7 2013119
8 2004108
9 2003100
10 201894
11 200793
12 201682
13 201965
14 201664
15 200960
16 202055
17 200751
18 201346
19 201645
20 200845

About Hanbing Lu

Hanbing Lu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Neurology, having authored 75 papers that have together received 3.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (39 papers), Advanced MRI Techniques and Applications (23 papers), Neural dynamics and brain function (22 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Transcranial Magnetic Stimulation Studies (6 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Cellular and Molecular Neuroscience (819 citations), Electrochemistry (154 citations) and Neurology (158 citations). Hanbing Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Elliot A. Stein, Yihong Yang, Hong Gu, Yihong Yang, James S. Hyde, Qihong Zou, Marcus E. Raichle, William Rea, Kevin M. Bennett and Pei Liang. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage, Magnetic Resonance in Medicine, Neuropsychopharmacology and Cerebral Cortex.

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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