Robert Wang

2.7k citations
2 papers · 380 · 1 hit paper · h-index 2

Impact in

    • Advanced Graph Neural Networks
    • Topic Modeling
    • Semantic Web and Ontologies
    • Domain Adaptation and Few-Shot Learning
    • Speech and dialogue systems
    • Data Stream Mining Techniques
    • Natural Language Processing Techniques

Papers in

Journals
Communications of the ACM (1 paper)Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics (1 paper)
Partner nations
United StatesTaiwan

In The Last Decade

Robert Wang

2 papers receiving 370 citations

Robert Wang's Hit Papers

Never-ending learning 2018 · 376 citations
3760+2+5Years since publication100200300

Peers

Robert Wang
Comparison fields: 5 of 55
  • Artificial Intelligence 298
  • Health Informatics 7
  • Computational Mathematics 1
  • Information Systems 32
  • Computer Vision and Pattern Recognition 24
Replace Yutong Dai with:
Yutong Dai China
Zhixing Tan China
Matt Sharifi United States
Piotr Nyczyk Switzerland
Ales Kubicek Switzerland
Tianyi Tang China
Jonathan Tow United States
Tomasz M. Lehmann Poland
Daniel Hládek Slovakia
Mohammad Al-Rubaie United States
Robert Wang relative to Yutong Dai China Yutong Dai's profile →
Citations per field
00.5×5×10×13.2×
Yutong Dai · 1×
Citations per year

Countries citing papers authored by Robert Wang

Since Specialization
Citations

This map shows the geographic impact of Robert Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Wang more than expected).

Fields of papers citing papers by Robert Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Wang. The network helps show where Robert Wang may publish in the future.

Co-authors

The 2 scholars most cited alongside Robert Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Wang Line = papers co-authored together Robert Wang links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Never-ending learning
Hit paper breakdown →
2018376
2 20174

About Robert Wang

Robert Wang is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 2 papers that have together received 380 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (1 paper), Software-Defined Networks and 5G (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Web Data Mining and Analysis (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Artificial Intelligence (298 citations), Health Informatics (7 citations), Computational Mathematics (1 citation), Information Systems (32 citations) and Computer Vision and Pattern Recognition (24 citations). Robert Wang has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Cheng‐Fu Chou and Ming‐Hung Chen. Their work appears in journals such as Communications of the ACM and Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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