H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Chemistry D-index 58 Citations 10,294 363 World Ranking 5447 National Ranking 721

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Enzyme
  • Gene

His primary areas of investigation include Chromatography, High-performance liquid chromatography, Linguistics, Mass spectrometry and Artificial intelligence. His Chromatography research includes elements of Flos and Time-of-flight mass spectrometry. The study incorporates disciplines such as Detection limit, Analytical chemistry, Pharmacognosy and Formic acid in addition to High-performance liquid chromatography.

His research integrates issues of Computer vision and Natural language processing in his study of Artificial intelligence. His Natural language processing research also works with subjects such as

  • Language acquisition which intersects with area such as Vocabulary development, Cognitive psychology, First language, Neuroscience of multilingualism and Second-language acquisition,
  • Connectionism which is related to area like Phonology. His Electrospray ionization research focuses on subjects like Electrospray, which are linked to Fritillaria.

His most cited work include:

  • Does frequency count? Parental input and the acquisition of vocabulary. (247 citations)
  • Neuroplasticity as a function of second language learning: anatomical changes in the human brain. (243 citations)
  • The emergence of competing modules in bilingualism (239 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Chromatography, Artificial intelligence, Linguistics, High-performance liquid chromatography and Mass spectrometry. His study in Analytical chemistry extends to Chromatography with its themes. His research in Artificial intelligence intersects with topics in Pattern recognition, Computer vision and Natural language processing.

Ping Li mostly deals with Chromatography detector in his studies of High-performance liquid chromatography. His Mass spectrometry study frequently links to related topics such as Time-of-flight mass spectrometry.

He most often published in these fields:

  • Chromatography (22.86%)
  • Artificial intelligence (17.82%)
  • Linguistics (10.47%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (17.82%)
  • Pharmacology (8.76%)
  • Chromatography (22.86%)

In recent papers he was focusing on the following fields of study:

Ping Li mostly deals with Artificial intelligence, Pharmacology, Chromatography, Pattern recognition and Computer vision. His Artificial intelligence study is mostly concerned with Convolutional neural network, Segmentation, Feature extraction, Deep learning and Image segmentation. Ping Li studies Mass spectrometry, a branch of Chromatography.

His research brings together the fields of Artificial neural network and Pattern recognition. His study in Computer vision focuses on Pixel in particular.

Between 2017 and 2021, his most popular works were:

  • Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images (67 citations)
  • Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures (60 citations)
  • Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution (42 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Enzyme
  • Gene

Ping Li mainly focuses on Artificial intelligence, Pharmacology, Chromatography, Metabolomics and Convolutional neural network. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition. The Pharmacology study combines topics in areas such as Diabetes mellitus, Streptozotocin, Glutathione and Ginseng.

His Mass spectrometry, Analyte and Tandem mass spectrometry study in the realm of Chromatography interacts with subjects such as Ion cyclotron resonance. His work is dedicated to discovering how Metabolomics, Metabolic pathway are connected with Purine and other disciplines. His Convolutional neural network research integrates issues from Image resolution, Artificial neural network, Facial recognition system, Face and RGB color model.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Acquisition of Lexical and Grammatical Aspect

Ping Li;Yasuhiro Shirai.
(2000)

497 Citations

Neuroplasticity as a function of second language learning: anatomical changes in the human brain.

Ping Li;Jennifer Legault;Kaitlyn A. Litcofsky.
Cortex (2014)

396 Citations

Does frequency count? Parental input and the acquisition of vocabulary.

Judith C. Goodman;Philip S. Dale;Ping Li.
Journal of Child Language (2008)

370 Citations

The emergence of competing modules in bilingualism

Arturo Hernandez;Ping Li;Brian MacWhinney.
Trends in Cognitive Sciences (2005)

368 Citations

Age of Acquisition: Its Neural and Computational Mechanisms.

Arturo E Hernandez;Ping Li.
Psychological Bulletin (2007)

368 Citations

Language history questionnaire: A Web-based interface for bilingual research

Ping Li;Sara Sepanski;Xiaowei Zhao.
Behavior Research Methods (2006)

367 Citations

The Psycholinguistics of Bilingualism

François Grosjean;Ping Li;Ellen Bialystok.
(2012)

357 Citations

Early lexical development in a self-organizing neural network

Ping Li;Igor Farkas;Brian MacWhinney.
Neural Networks (2004)

282 Citations

Comprehensive Evaluation of Deep Eutectic Solvents in Extraction of Bioactive Natural Products

Li Duan;Li-Li Dou;Long Guo;Ping Li.
ACS Sustainable Chemistry & Engineering (2016)

243 Citations

ASPECT AND ASSERTION IN MANDARIN CHINESE

Wolfgang Klein;Ping Li;Henriëtte Hendriks.
Natural Language and Linguistic Theory (2000)

243 Citations

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Best Scientists Citing Ping Li

De-An Guo

De-An Guo

Chinese Academy of Sciences

Publications: 70

Chun-Su Yuan

Chun-Su Yuan

University of Chicago

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Jin-Ao Duan

Jin-Ao Duan

Nanjing University of Chinese Medicine

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Hua Shu

Hua Shu

MIT

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Yuping Tang

Yuping Tang

Shaanxi University of Chinese Medicine

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Brian MacWhinney

Brian MacWhinney

Carnegie Mellon University

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Jubin Abutalebi

Jubin Abutalebi

Vita-Salute San Raffaele University

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Arturo E. Hernandez

Arturo E. Hernandez

University of Houston

Publications: 31

Wei-Dong Zhang

Wei-Dong Zhang

Second Military Medical University

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Lian-Wen Qi

Lian-Wen Qi

China Pharmaceutical University

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Guangji Wang

Guangji Wang

China Pharmaceutical University

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Gavin M. Bidelman

Gavin M. Bidelman

University of Memphis

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Peng-Fei Tu

Peng-Fei Tu

Peking University

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Zhengtao Wang

Zhengtao Wang

Shanghai University

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Min Ye

Min Ye

Peking University

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Shao-Ping Li

Shao-Ping Li

University of Macau

Publications: 21

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