Zeng Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Zeng Chen has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- Guozi Sun
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China
2 shared publications - Changsong Zhou
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China
1 shared publication - Chen Wang1 shared publication
- Chenxi Zhu1 shared publication
- Jianwei Liu1 shared publication
Kifayat Ullah
Department of CS & IT, University of Swat, Mingora, Pakistan
1 shared publication
Latest Publications
- 30 November 2025
- Published by Elsevier in Digital Signal Processing
- Vol. 170
A lightweight full-resolution cascade network for vessel segmentation
- 30 November 2025
- Published by Elsevier in Digital Signal Processing
- Vol. 170
A lightweight full-resolution cascade network for vessel segmentation
- 16 January 2025
- Published by Elsevier in Computer Communications
- Vol. 233
COIChain: Blockchain scheme for privacy data authentication in cross-organizational identification
- 16 January 2025
- Published by Elsevier in Computer Communications
- Vol. 233
COIChain: Blockchain scheme for privacy data authentication in cross-organizational identification
- 5 June 2023
- Published by Springer Nature in Journal of Signal Processing Systems
- Vol. 96 (3) , 239-256
Large File Security Outsourcing and Sharing Method Based on Blockchain
- 5 June 2023
- Published by Springer Nature in Journal of Signal Processing Systems
- Vol. 96 (3) , 239-256
Large File Security Outsourcing and Sharing Method Based on Blockchain
- Open Access
- 16 November 2021
- Published by Wiley in Mobile Information Systems
- Vol. 2021, 1-11
Enhancing Healthcare through Detection and Prevention of COVID-19 Using Internet of Things and Mobile Application
The main symptoms of COVID-19 are high temperature, throat infection, and irregular heartbeat. An integrated wearable device has been presented in this paper for the measurement of temperature and heartbeat in real time using different sensors and NodeMCU ESP8266. For temperature, the DHT11 sensor is used and, for heartbeat, the pulse sensor is used. After reading the data from the sensors processed by NodeMCU ESP8266, it is sent to the firebase database using wireless connection (Wi-Fi module). From the database, the data are displayed in an android application. On the basis of certain conditions of the data, the user as well as the administrator is notified regarding the user’s current health. For the social distancing, an ultrasonic sensor is used. The sensor will warn the user, if he/she is in close contact with someone within a specified distance. The user’s current location is also tracked using the location services of android. A module named COVID-meter, based on the disease.sh-Open Disease Data API, was also included in the research for reading of real-time data of different countries related to COVID-19 like total cases, total deaths, total recovered patients, and so on. The proposed device can be used in both populated and rural areas, but in rural areas it will be much more important because people are unable to reach a doctor on time; thus, they can check their health conditions remotely using the proposed device.
- 16 November 2021
- Published by Wiley in Mobile Information Systems
- Vol. 2021, 1-11
Open AccessEnhancing Healthcare through Detection and Prevention of COVID-19 Using Internet of Things and Mobile Application
The main symptoms of COVID-19 are high temperature, throat infection, and irregular heartbeat. An integrated wearable device has been presented in this paper for the measurement of temperature and heartbeat in real time using different sensors and NodeMCU ESP8266. For temperature, the DHT11 sensor is used and, for heartbeat, the pulse sensor is used. After reading the data from the sensors processed by NodeMCU ESP8266, it is sent to the firebase database using wireless connection (Wi-Fi module). From the database, the data are displayed in an android application. On the basis of certain conditions of the data, the user as well as the administrator is notified regarding the user’s current health. For the social distancing, an ultrasonic sensor is used. The sensor will warn the user, if he/she is in close contact with someone within a specified distance. The user’s current location is also tracked using the location services of android. A module named COVID-meter, based on the disease.sh-Open Disease Data API, was also included in the research for reading of real-time data of different countries related to COVID-19 like total cases, total deaths, total recovered patients, and so on. The proposed device can be used in both populated and rural areas, but in rural areas it will be much more important because people are unable to reach a doctor on time; thus, they can check their health conditions remotely using the proposed device.