World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9942
World Ranking
11000
National Ranking
4577

Overview

Yi Shang is affiliated with the University of Missouri in the United States and has contributed extensively in the field of Computer Science, with a focus on Artificial Intelligence and related subfields. Their research spans a diverse range of topics including Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Remote Sensing and LiDAR Applications, and Functional Brain Connectivity Studies.

The main areas of study for Yi Shang include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Molecular Biology
  • Cognitive Neuroscience

Yi Shang's recent papers cover several notable topics and were published in various respected venues. Some of these publications are:

  • "A survey and performance evaluation of deep learning methods for small object detection," 2021, Expert Systems with Applications
  • "Deep learning for prognostics and health management: State of the art, challenges, and opportunities," 2020, Measurement
  • "A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment," 2021, Measurement
  • "A comparison of Ni-Co layered double oxides with memory effect on recovering U(VI) from wastewater to hydroxides," 2022, Chemical Engineering Journal
  • "Estimating Policy and Program Effects with Observational Data: The "Differences-in-Differences" Estimator," 2020, Scholarworks (University of Massachusetts Amherst)

The scientist frequently collaborates with other researchers, including the following coauthors:

  • Jing-Shia Tang
  • Hui Dai
  • Wenbo Wang
  • Zhicheng Tang
  • Hanqi Xing

Yi Shang has published primarily in the following venues:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Measurement
  • Drones
  • Research Square (Research Square)

Their work addresses key challenges across multiple topics, including:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing and LiDAR Applications
  • Advanced X-ray and CT Imaging
  • Smart Grid Energy Management
  • Memory and Neural Mechanisms
  • Functional Brain Connectivity Studies

Best Publications

  • Localization from mere connectivity

    Yi Shang;Wheeler Ruml;Ying Zhang;Markus P. J. Fromherz

  • Improved MDS-based localization

    Yi Shang;W. Ruml

  • Localization from connectivity in sensor networks

    Y. Shang;W. Rumi;Y. Zhang;M. Fromherz

  • A survey and performance evaluation of deep learning methods for small object detection

    Yang Liu;Peng Sun;Nickolas M. Wergeles;Yi Shang

  • An intelligent distributed environment for active learning

    Yi Shang;Hongchi Shi;Su-Shing Chen

  • A new active labeling method for deep learning

    Dan Wang;Yi Shang

  • Global optimization for neural network training

    Yi Shang;B.W. Wah

  • Adaptive Traffic Light Control with Wireless Sensor Networks

    Malik Tubaishat;Yi Shang;Hongchi Shi

  • Improvement of HITS-based algorithms on web documents

    Longzhuang Li;Yi Shang;Wei Zhang

  • MUFOLD-SS: New deep inception-inside-inception networks for protein secondary structure prediction

    Chao Fang;Yi Shang;Dong Xu

  • A survey on network protocols for wireless sensor networks

    A.A. Ahmed;H. Shi;Y. Shang

  • A Mobile Automated Skin Lesion Classification System

    Kiran Ramlakhan;Yi Shang

  • A biologically-inspired clustering protocol for wireless sensor networks

    S. Selvakennedy;S. Sinnappan;Yi Shang

  • Managing Ad Hoc Networks of Smartphones

    Tiancheng Zhuang;Paul Baskett;Yi Shang

  • Performance study of localization methods for ad-hoc sensor networks

    Yi Shang;Hongchi Shi;A.A. Ahmed

  • SHARP: a new approach to relative localization in wireless sensor networks

    A.A. Ahmed;H. Shi;Y. Shang

  • Modeling Physiological Data with Deep Belief Networks.

    Dan Wang;Yi Shang

  • Wireless Sensor-Based Traffic Light Control

    Malik Tubaishat;Qi Qi;Yi Shang;Hongchi Shi

  • A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment

    Unknown

  • A sorted RSSI quantization based algorithm for sensor network localization

    Xiaoli Li;Hongchi Shi;Yi Shang

  • MUFOLD: A new solution for protein 3D structure prediction

    Jingfen Zhang;Qingguo Wang;Bogdan Barz;Zhiquan He

Frequent Co-Authors

Dong Xu
Dong Xu University of Missouri
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Timothy J. Trull
Timothy J. Trull University of Missouri
Warren B. Jackson
Warren B. Jackson Palo Alto Research Center
Tad Hogg
Tad Hogg Xerox (France)
K. C. Ho
K. C. Ho University of Missouri
Fuji Ren
Fuji Ren University of Electronic Science and Technology of China

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering Computer Science in the USA? Many students also explore related online degrees that can open doors in tech and beyond. If your academic background isn’t perfect, check out the best colleges for low gpa. These institutions offer flexible options and support for students aiming to advance their careers.

Looking for a fast track? An computer science accelerated program lets you earn your degree quickly and efficiently, helping you join the workforce sooner and stay ahead of tech trends.

Interested in tech solutions for sustainability? Careers in environmental science are in high demand. Discover what’s possible with an environmental science degree—from policy making to research and fieldwork.

If engineering is your calling, pursuing an online environmental engineering degree can set you on a promising career path, all while learning from the comfort of home.

Best Scientists Citing Yi Shang

Trending Scientists