Liang Chen

Liang ChenDr Chen is Chief Surgeon, Professor and Doctoral Supervisor, Director of the Department of Thoracic Surgery of the First Affiliated Hospital with Nanjing Medical University (Jiangsu Province Hospital) and deputy director of Department of Thoracic Surery of the First Clinical College of Nanjing Medical University. Current chairman of the Thoracic Surgery Branch of the Jiangsu Medical Association, chairman-designate of the Thoracic Surgery Branch of Jiangsu Medical Doctor Association, member of the Thoracoscopy Group of the Fourth Chinese Society of Thoracic and Cardiovascular Surgery. He is committed to the surgical treatment of early lung cancer, has completed more than 1,000 cases of thoracoscopic anatomical pulmonary segmentectomy and more than 400 cases of pulmonary subsegmentectomy. Dr Chen was the first to report thoracoscopic pulmonary sub-subsegmentectomy in the world. He was the first in China to propose the concept of "three-dimensional computed tomography bronchography and angiography (3D-CTBA)-guided precise thoracoscopic pulmonary segmentectomy" and devoted himself to promoting precise thoracoscopic pulmonary segmentectomy worldwide. Read More Read Less

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Practical Handbook of Advanced Interventional Cardiology33 %
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Art of Linux Kernel Design47 %
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Mastering Endo-Laparoscopic and Thoracoscopic Surgery21 %
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Management of Complex Cardiovascular Problems43 %
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Mastering Endo-Laparoscopic and Thoracoscopic Surgery21 %
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Knowledge Science, Engineering and Management2 % NR
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Tea Plant Genome37 %
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Flow Cells for Electrochemical Energy Systems37 %
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5GtoB From Theory to Practice37 %
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Rural Revitalization in China37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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Pattern Recognition and Computer Vision37 %
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