World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6304
World Ranking
8915
National Ranking
3795

Overview

Dong Wang is affiliated with the University of Notre Dame in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research encompasses several subfields including sociology and political science, computer vision and pattern recognition, computer science applications, and electrical and electronic engineering.

Their work covers a range of topics, reflecting a multidisciplinary approach involving:

  • Topic Modeling
  • Mobile Crowdsensing and Crowdsourcing
  • Misinformation and Its Impacts
  • Anomaly Detection Techniques and Applications
  • Natural Language Processing Techniques
  • Human Mobility and Location-Based Analysis
  • Data-Driven Disease Surveillance

Dong Wang has authored numerous research papers, some of the recent notable publications include:

  • CovidSens: a vision on reliable social sensing for COVID-19, 2020, Artificial Intelligence Review
  • A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok, 2021, 2021 IEEE International Conference on Big Data (Big Data)
  • A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection, 2022, Proceedings of the ACM Web Conference 2022
  • HC-COVID, 2022, Proceedings of the ACM on Human-Computer Interaction
  • Machine Learning Based Prediction of Enzymatic Degradation of Plastics Using Encoded Protein Sequence and Effective Feature Representation, 2023, Environmental Science & Technology Letters

Their frequent collaborators include researchers such as Lanyu Shang, Yang Zhang, Ziyi Kou, Huimin Zeng, and Zhenrui Yue, indicating a strong network of coauthorship within their research community.

Dong Wang's publications frequently appear in venues recognized within the computer science domain, including:

  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal

Their research contributions primarily advance knowledge in artificial intelligence and its applications, particularly focusing on the detection and analysis of misinformation, social sensing for public health, and machine learning techniques. This profile reflects a sustained scholarly output and engagement with interdisciplinary domains intersecting computer science and social sciences.

Best Publications

  • On truth discovery in social sensing: a maximum likelihood estimation approach

    Dong Wang;Lance Kaplan;Hieu Le;Tarek Abdelzaher

  • Relation Classification via Recurrent Neural Network

    Dongxu Zhang;Dong Wang

  • Using humans as sensors: an estimation-theoretic perspective

    Dong Wang;Tanvir Amin;Shen Li;Tarek Abdelzaher

  • Enzyme Discovery and Engineering for Sustainable Plastic Recycling.

    Baotong Zhu;Dong Wang;Na Wei

  • The Age of Social Sensing

    Dong Wang;Boleslaw K. Szymanski;Tarek Abdelzaher;Heng Ji

  • Social Sensing: Building Reliable Systems on Unreliable Data

    Dong Wang;Tarek Abdelzaher;Lance Kaplan

  • Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications

    Dong Wang;Tarek Abdelzaher;Lance Kaplan;Charu C. Aggarwal

  • Click-through Prediction for Advertising in Twitter Timeline

    Cheng Li;Yue Lu;Qiaozhu Mei;Dong Wang

  • On Credibility Estimation Tradeoffs in Assured Social Sensing

    Dong Wang;L. Kaplan;T. Abdelzaher;C. C. Aggarwal

  • CovidSens: a vision on reliable social sensing for COVID-19.

    Tahmid Rashid;Dong Wang

  • Efficient Graph Similarity Search Over Large Graph Databases

    Weiguo Zheng;Lei Zou;Xiang Lian;Dong Wang

  • Maximum likelihood analysis of conflicting observations in social sensing

    Dong Wang;Lance Kaplan;Tarek F. Abdelzaher

  • On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications

    Daniel Zhang;Dong Wang;Nathan Vance;Yang Zhang

  • Shedding light on “Black Box” machine learning models for predicting the reactivity of HO radicals toward organic compounds

    Shifa Zhong;Kai Zhang;Dong Wang;Huichun Zhang

  • CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding

    Dong Wang;Ning Ding;Piji Li;Haitao Zheng

  • Chinese song iambics generation with neural attention-based model

    Qixin Wang;Tianyi Luo;Dong Wang;Chao Xing

  • Towards Cyber-Physical Systems in Social Spaces: The Data Reliability Challenge

    Shiguang Wang;Dong Wang;Lu Su;Lance Kaplan

  • FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models

    Daniel Yue Zhang;Ziyi Kou;Dong Wang

  • Flexible and Creative Chinese Poetry Generation Using Neural Memory

    Jiyuan Zhang;Yang Feng;Dong Wang;Yang Wang

  • Exploitation of Physical Constraints for Reliable Social Sensing

    Dong Wang;Tarek Abdelzaher;Lance Kaplan;Raghu Ganti

  • On robust truth discovery in sparse social media sensing

    Daniel Yue Zhang;Rungang Han;Dong Wang;Chao Huang

  • CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications

    Daniel Zhang;Yang Zhang;Qi Li;Thomas Plummer

  • On Bayesian interpretation of fact-finding in information networks

    Dong Wang;Tarek Abdelzaher;Hossein Ahmadi;Jeff Pasternack

  • A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems

    Daniel Zhang;Yue Ma;Yang Zhang;Suwen Lin

  • A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection

    Unknown

  • Graph similarity search with edit distance constraint in large graph databases

    Weiguo Zheng;Lei Zou;Xiang Lian;Dong Wang

  • Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing

    Daniel Zhang;Yue Ma;Chao Zheng;Yang Zhang

Frequent Co-Authors

Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Lance Kaplan
Lance Kaplan United States Army Research Laboratory
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Dongyan Zhao
Dongyan Zhao Peking University
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
Lu Su
Lu Su Purdue University West Lafayette
Amotz Bar-Noy
Amotz Bar-Noy City University of New York
Feng Zhao
Feng Zhao Microsoft (United States)

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

Studying Computer Science in the USA opens doors to a wide variety of related degrees and career pathways, both online and on-campus. If you’re interested in areas that overlap with technology and sustainability, you might want to explore what can you do with an environmental science degree. This field offers roles ranging from data analyst to environmental consultant, often requiring strong technical and analytical skills.

Online programs are a flexible option for students with work or family commitments. For those seeking a convenient path, consider a computer science degree online. Accelerated online courses allow you to complete your degree faster and often at a lower cost than traditional programs.

Technology-oriented students may also be interested in engineering degrees. You can pursue an environmental engineering bachelor's degree online to work on projects that merge computer science, engineering, and sustainability goals. Similarly, prospective engineers should consider the mechanical engineering cost of education when comparing programs, as affordability can impact your academic and financial plans.

Best Scientists Citing Dong Wang

Trending Scientists

Recently Published Articles