What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Artificial intelligence
His primary areas of study are Computer network, Wireless, Real-time computing, Simulation and Authentication.
His work carried out in the field of Computer network brings together such families of science as Wireless network and Cryptography.
His Wireless network research incorporates themes from Node and Spoofing attack.
His studies in Wireless integrate themes in fields like Electromagnetic interference, Key generation, Communication channel, RSS and Algorithm.
His Real-time computing study integrates concerns from other disciplines, such as Ranging, Bayesian network and Embedded system.
The concepts of his Authentication study are interwoven with issues in Confidentiality and Process.
His most cited work include:
- E-eyes: device-free location-oriented activity identification using fine-grained WiFi signatures (448 citations)
- Detecting and Localizing Wireless Spoofing Attacks (332 citations)
- Push the limit of WiFi based localization for smartphones (320 citations)
What are the main themes of his work throughout his whole career to date?
Yingying Chen mainly investigates Computer network, Real-time computing, Wireless, Mobile device and Artificial intelligence.
His Computer network research is multidisciplinary, incorporating perspectives in Computer security, Cryptography and Wireless network.
The various areas that Yingying Chen examines in his Wireless network study include Electromagnetic interference and Spoofing attack.
His research in Real-time computing intersects with topics in Ranging, Signal and Simulation.
His study in Wireless is interdisciplinary in nature, drawing from both RSS and Communication channel.
His Mobile device research incorporates elements of Wearable technology, Wearable computer, Robustness and Human–computer interaction.
He most often published in these fields:
- Computer network (25.24%)
- Real-time computing (22.36%)
- Wireless (19.17%)
What were the highlights of his more recent work (between 2019-2021)?
- Human–computer interaction (11.18%)
- Mobile device (15.97%)
- Real-time computing (22.36%)
In recent papers he was focusing on the following fields of study:
Yingying Chen mostly deals with Human–computer interaction, Mobile device, Real-time computing, Authentication and Wearable computer.
His Human–computer interaction research is multidisciplinary, incorporating elements of Identification, Gesture, Deep learning, Artificial intelligence and Exploit.
His Mobile device research includes themes of Wearable technology, Control and Internet access.
His Real-time computing research integrates issues from Collision, Feature extraction and Physical layer.
Yingying Chen has researched Authentication in several fields, including Password, Mobile computing, Login and Biometrics.
His Wearable computer study integrates concerns from other disciplines, such as Voice command device and Direct voice input.
Between 2019 and 2021, his most popular works were:
- Wireless Sensing for Human Activity: A Survey (29 citations)
- Real-Time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems (12 citations)
- Practical Adversarial Attacks Against Speaker Recognition Systems (9 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
The scientist’s investigation covers issues in Speech recognition, Adversarial system, Adversary, Speaker recognition and Biometrics.
His biological study spans a wide range of topics, including Fingerprint, Deep learning, Artificial intelligence and Vulnerability.
The study incorporates disciplines such as Exploit and Speedup in addition to Adversarial system.
His Biometrics research is multidisciplinary, relying on both Vibration, User authentication, Authentication, Access control and Signal.
His work carried out in the field of Authentication brings together such families of science as Data mining, Login, Classifier, User experience design and Mobile device.
He merges Mobile device with Transaction processing in his study.
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