Xiaowang Zhang
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 40
- Topic Modeling 30
- Natural Language Processing Techniques 24
- Logic, Reasoning, and Knowledge 12
- Advanced Graph Neural Networks 11
- Signal Processing top 10%
- Information Systems top 10%
- Service-Oriented Architecture and Web Services 8
-
- Advanced Database Systems and Queries 14
-
- Graph Theory and Algorithms 8
Xiaowang Zhang
92 papers receiving 461 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 234
- Signal Processing 45
- Information Systems 87
- Computer Networks and Communications 71
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Xiaowang Zhang
This map shows the geographic impact of Xiaowang Zhang'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 Xiaowang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowang Zhang more than expected).
Fields of papers citing papers by Xiaowang Zhang
This network shows the impact of papers produced by Xiaowang Zhang. 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 Xiaowang Zhang. The network helps show where Xiaowang Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaowang Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 19 | |
| 14 | A system for reasoning-based link prediction in large knowledge graphs | 2019 | 0 |
| 15 | An Adaptive Framework for RDF Stream Reasoning. | 2017 | 1 |
| 16 | Enhancing Rule-based OWL Reasoning on Spark. | 2016 | 1 |
| 17 | pSPARQL: A Querying Language for Probabilistic RDF (Extended Abstract). | 2016 | 0 |
| 18 | 2016 | 2 | |
| 19 | From Datalog Reasoning to Modular Structure of an Ontology. | 2015 | 1 |
| 20 | 2013 | 7 |
About Xiaowang Zhang
Xiaowang Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 105 papers that have together received 479 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (40 papers), Topic Modeling (30 papers), Natural Language Processing Techniques (24 papers), Advanced Database Systems and Queries (14 papers), Logic, Reasoning, and Knowledge (12 papers), Advanced Graph Neural Networks (11 papers), Graph Theory and Algorithms (8 papers) and Service-Oriented Architecture and Web Services (8 papers). The work is most often cited by research in Artificial Intelligence (234 citations), Signal Processing (45 citations) and Information Systems (87 citations). Xiaowang Zhang has collaborated with scholars based in China, Australia and Belgium. Frequent co-authors include Zhiyong Feng, Jan Van den Bussche, Zuoquan Lin, Xin Wang, Junhu Wang, Zhiyong Feng, Hanjie Ying, Chenjie Zhu, Zhenchang Xing and Liu Jin. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, International Journal of Approximate Reasoning, Knowledge-Based Systems, The Computer Journal and World Wide Web.
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.