Bao-Liang Lu （吕宝粮）: h-index, Total Citations, and Citation Map
Bao-Liang Lu （吕宝粮）'s h-index is 72 (242 i10-index, 27,042+ total citations across 100+ publications) according to Google Scholar as of June 2026. Bao-Liang Lu （吕宝粮） is affiliated with IEEE Fellow, Professor, Shanghai Jiao Tong University.
Bao-Liang Lu （吕宝粮） is a researcher affiliated with IEEE Fellow, Professor, Shanghai Jiao Tong University, specializing in Brain-like Computing, Neural Networks, Deep Learning. Their work has been cited 27,042 times. This profile visualizes their global influence, highlighting strong citation networks in Canada.
Bao-Liang Lu （吕宝粮）'s Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 72
- i10-Index
- 242
- Total Citations
- 27,042
- Citing Countries
- 3
As of June 2026.
Bao-Liang Lu （吕宝粮） has an h-index of 72 and 27,042 total citations across 100 publications, with research cited by institutions in 3 countries.
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Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks
20153,068
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Bao-Liang Lu （吕宝粮）'s research
Bao-Liang Lu （吕宝粮） is a researcher in Brain-like Computing, Neural Networks and Deep Learning at IEEE Fellow, Professor, Shanghai Jiao Tong University. Their work has been cited 27,042 times across 100 publications (h-index 72), according to Google Scholar.
Their most-cited work, “Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks” (2015), has accumulated 3,068 citations. Other influential works include “Differential entropy feature for EEG-based emotion classification” (2013) with 1,482 citations and “Emotionmeter: A multimodal framework for recognizing human emotions” (2018) with 1,458 citations.
Citations of Bao-Liang Lu （吕宝粮）'s research come primarily from Canada, China and United States, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
