Hanbing Lu

4.1k citations
74 papers · 3.4k · h-index 28

Impact in

Papers in

Hanbing Lu

71 papers receiving 3.3k citations

Peers

Hanbing Lu
Comparison fields: 5 of 71
  • Cognitive Neuroscience 1.1k
  • Radiology, Nuclear Medicine and Imaging 619
  • Cellular and Molecular Neuroscience 332
  • Neurology 111
  • Modeling and Simulation 24
Replace Shella Dawn Keilholz with:
Shella Dawn Keilholz United States
Torsten Trinath Germany
Mara Fabri C Italy
Hong Gu United States
Laura D. Lewis United States
Blaise B. Frederick United States
Raúl de la Fuente‐Fernández Canada
Elisabeth C. Caparelli United States
Tim Bjørn Dyrby Denmark
Thijs Dhollander Australia
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Citations per field
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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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012471
2 2003400
3 2007360
4 2017187
5 2008136
6 2013122
7 2004115
8 2018101
9 200796
10 201685
11 201668
12 201965
13 202064
14 200961
15 200849
16 201648
17 201347
18 201144
19 201643
20 201943

About Hanbing Lu

Hanbing Lu is a scholar working on Cognitive Neuroscience, Neurology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 74 papers that have together received 3.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (24 papers), Advanced MRI Techniques and Applications (12 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Transcranial Magnetic Stimulation Studies (9 papers), Smoking Behavior and Cessation (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Photoreceptor and optogenetics research (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Radiology, Nuclear Medicine and Imaging (619 citations), Cellular and Molecular Neuroscience (332 citations), Neurology (111 citations) and Modeling and Simulation (24 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 P. Rea, Kevin M. Bennett and Kathleen M. Schmainda. Their work appears in journals such as NeuroImage, Proceedings of the National Academy of Sciences, 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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