D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 50 Citations 15,288 253 World Ranking 1459 National Ranking 611

Research.com Recognitions

Awards & Achievements

2012 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Gene
  • Statistics

Wei Qian spends much of his time researching Artificial intelligence, Nanoparticle, Computer vision, Nanotechnology and Deep learning. His Artificial intelligence research integrates issues from Digital mammography and Pattern recognition. Wei Qian interconnects Analytical chemistry, Phonon and Femtosecond in the investigation of issues within Nanoparticle.

His Nanotechnology research incorporates themes from Conjugated system, Biophysics and Laser. His studies deal with areas such as Artificial neural network, Image, Convolutional neural network and Dropout as well as Deep learning. His Surface plasmon resonance study combines topics in areas such as Molecular imaging and Near-infrared spectroscopy.

His most cited work include:

  • Cancer Cell Imaging and Photothermal Therapy in the Near-Infrared Region by Using Gold Nanorods (4081 citations)
  • Amorphous silica nanowires: Intensive blue light emitters (442 citations)
  • Cancer cells assemble and align gold nanorods conjugated to antibodies to produce highly enhanced, sharp, and polarized surface Raman spectra: a potential cancer diagnostic marker. (433 citations)

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

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Digital mammography and Mammography. His Wavelet transform, Segmentation, Feature, Feature extraction and Convolutional neural network investigations are all subjects of Artificial intelligence research. His research integrates issues of Artificial neural network and Data mining in his study of Pattern recognition.

His work on Filter as part of general Computer vision study is frequently linked to Sensitivity, bridging the gap between disciplines. His Mammography study results in a more complete grasp of Breast cancer. The concepts of his Breast cancer study are interwoven with issues in Radiology and Receiver operating characteristic.

He most often published in these fields:

  • Artificial intelligence (41.56%)
  • Pattern recognition (24.89%)
  • Computer vision (18.22%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (41.56%)
  • Pattern recognition (24.89%)
  • Convolutional neural network (9.33%)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Convolutional neural network, Radiology and Biomedical engineering. Much of his study explores Artificial intelligence relationship to Machine learning. His work on Segmentation as part of general Pattern recognition study is frequently linked to Sensitivity, therefore connecting diverse disciplines of science.

His Convolutional neural network research is multidisciplinary, relying on both Deconvolution, Nodule, Support vector machine, Transfer of learning and Lung cancer. His Radiology research incorporates elements of Stage, Cancer, Breast cancer and Retrospective cohort study. His study with Colloidal gold involves better knowledge in Nanoparticle.

Between 2018 and 2021, his most popular works were:

  • Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks. (27 citations)
  • Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset (26 citations)
  • Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset (26 citations)

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

  • Artificial intelligence
  • Gene
  • Statistics

His primary areas of investigation include Artificial intelligence, Pattern recognition, Convolutional neural network, Radiology and Lung cancer. Wei Qian works in the field of Artificial intelligence, focusing on Deep learning in particular. His work in the fields of Pattern recognition, such as Segmentation and Feature extraction, overlaps with other areas such as Sensitivity and Supporting system.

Wei Qian combines subjects such as False positive paradox, Pooling, Artificial neural network, Object detection and Convolution with his study of Convolutional neural network. The Radiology study combines topics in areas such as Retrospective cohort study, Carcinoma, Proportional hazards model, Lung and Stage. His research in Lung cancer intersects with topics in Lobe and Wall pressure.

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

Cancer Cell Imaging and Photothermal Therapy in the Near-Infrared Region by Using Gold Nanorods

Xiaohua Huang;Ivan H. El-Sayed;Wei Qian;Mostafa A. El-Sayed.
Journal of the American Chemical Society (2006)

5247 Citations

Amorphous silica nanowires: Intensive blue light emitters

D. P. Yu;Q. L. Hang;Y. Ding;H. Z. Zhang.
Applied Physics Letters (1998)

664 Citations

Cancer cells assemble and align gold nanorods conjugated to antibodies to produce highly enhanced, sharp, and polarized surface Raman spectra: a potential cancer diagnostic marker.

Xiaohua Huang;Ivan H. El-Sayed;Wei Qian;Mostafa A. El-Sayed.
Nano Letters (2007)

595 Citations

Nanoscale silicon wires synthesized using simple physical evaporation

D. P. Yu;Z. G. Bai;Y. Ding;Q. L. Hang.
Applied Physics Letters (1998)

508 Citations

Genetic variation within and among populations of a wild rice Oryza granulata from China detected by RAPD and ISSR markers

W. Qian;S. Ge;D.-Y. Hong.
Theoretical and Applied Genetics (2001)

454 Citations

Comparative and functional genomic analyses of the pathogenicity of phytopathogen Xanthomonas campestris pv. campestris

Wei Qian;Yantao Jia;Shuang-Xi Ren;Yong-Qiang He.
Genome Research (2005)

453 Citations

Computer-assisted method and apparatus for analysis of x-ray images using wavelet transforms

Laurence P. Clarke;Wei Qian;Lihua Li.
(1996)

372 Citations

The potential use of the enhanced nonlinear properties of gold nanospheres in photothermal cancer therapy

Xiaohua Huang;Wei Qian;Ivan H. El‐Sayed;Mostafa A. El‐Sayed.
Lasers in Surgery and Medicine (2007)

306 Citations

Ultrafast cooling of photoexcited electrons in gold nanoparticle-thiolated DNA conjugates involves the dissociation of the gold-thiol bond.

Prashant K. Jain;Wei Qian;Mostafa A. El-Sayed.
Journal of the American Chemical Society (2006)

250 Citations

Environmental management accounting in local government: A case of waste management

Wei Qian;Roger Burritt;Gary Monroe.
Accounting, Auditing & Accountability Journal (2011)

215 Citations

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Best Scientists Citing Wei Qian

Mostafa A. El-Sayed

Mostafa A. El-Sayed

Georgia Institute of Technology

Publications: 96

Bin Zheng

Bin Zheng

University of Oklahoma

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Xiaoyuan Chen

Xiaoyuan Chen

National University of Singapore

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Zhuang Liu

Zhuang Liu

Soochow University

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Nikolai G. Khlebtsov

Nikolai G. Khlebtsov

Saratov State University

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Paresh Chandra Ray

Paresh Chandra Ray

Jackson State University

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Catherine J. Murphy

Catherine J. Murphy

University of Illinois at Urbana-Champaign

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Dapeng Yu

Dapeng Yu

Peking University

Publications: 26

Sailing He

Sailing He

Zhejiang University

Publications: 25

Liang Cheng

Liang Cheng

Indiana University

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Boris N. Khlebtsov

Boris N. Khlebtsov

Russian Academy of Sciences

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Konstantin V Sokolov

Konstantin V Sokolov

The University of Texas MD Anderson Cancer Center

Publications: 21

Shuit-Tong Lee

Shuit-Tong Lee

Soochow University

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Younan Xia

Younan Xia

Georgia Institute of Technology

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Jianfang Wang

Jianfang Wang

Chinese University of Hong Kong

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Jun Qian

Jun Qian

Zhejiang University

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