What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Gene
- Cancer
Yan Zhang focuses on Computer network, Nanotechnology, Nuclear physics, Particle physics and Distributed computing.
Her Computer network study combines topics from a wide range of disciplines, such as Wireless, Wireless network, Cognitive radio and Vehicular ad hoc network.
Her studies deal with areas such as Anode and Chemical engineering as well as Nanotechnology.
Her Anode research is multidisciplinary, incorporating elements of Current density, Carbon, Electrochemistry and Sodium.
Her work on Charged particle expands to the thematically related Nuclear physics.
Her work in Distributed computing tackles topics such as Server which are related to areas like Computation offloading.
Her most cited work include:
- Mobile Edge Computing: A Survey (877 citations)
- Carbon Quantum Dots and Their Derivative 3D Porous Carbon Frameworks for Sodium-Ion Batteries with Ultralong Cycle Life. (823 citations)
- Diazo compounds and N-tosylhydrazones: novel cross-coupling partners in transition-metal-catalyzed reactions. (699 citations)
What are the main themes of her work throughout her whole career to date?
Yan Zhang mainly focuses on Internal medicine, Computer network, Cancer research, Endocrinology and Chemical engineering.
Her Internal medicine study incorporates themes from Gastroenterology, Oncology and Cardiology.
Yan Zhang has included themes like Wireless and Wireless network in her Computer network study.
Her research combines Membrane and Chemical engineering.
She most often published in these fields:
- Internal medicine (15.88%)
- Computer network (8.73%)
- Cancer research (5.43%)
What were the highlights of her more recent work (between 2019-2022)?
- Internal medicine (15.88%)
- Chemical engineering (4.54%)
- Cancer research (5.43%)
In recent papers she was focusing on the following fields of study:
Yan Zhang spends much of her time researching Internal medicine, Chemical engineering, Cancer research, Cell biology and Optoelectronics.
She has researched Internal medicine in several fields, including Gastroenterology, Oncology and Cardiology.
Many of her studies involve connections with topics such as Membrane and Chemical engineering.
Between 2019 and 2022, her most popular works were:
- Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak. (639 citations)
- Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT (203 citations)
- Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles (100 citations)
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