Yang Xiang
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference 47
- AI-based Problem Solving and Planning 20
- Logic, Reasoning, and Knowledge 13
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- Data Quality and Management 19
- Multi-Criteria Decision Making 4
- Signal Processing top 5%
- Data Management and Algorithms 14
- Time Series Analysis and Forecasting 3
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- Advanced Database Systems and Queries 4
- Information Systems top 10%
Yang Xiang
50 papers receiving 546 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 499
- Management Science and Operations Research 167
- Signal Processing 131
- Computer Networks and Communications 112
- Information Systems 63
Countries citing papers authored by Yang Xiang
This map shows the geographic impact of Yang Xiang'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 Yang Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Xiang more than expected).
Fields of papers citing papers by Yang Xiang
This network shows the impact of papers produced by Yang Xiang. 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 Yang Xiang. The network helps show where Yang Xiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yang Xiang, 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 | 2025 | 1 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 6 | |
| 5 | 2017 | 7 | |
| 6 | 2017 | 3 | |
| 7 | 2012 | 12 | |
| 8 | 2010 | 3 | |
| 9 | Multiagent Bayesian Forecasting of Time Series with Graphical Models | 2009 | 0 |
| 10 | 2009 | 1 | |
| 11 | 2007 | 10 | |
| 12 | 2004 | 6 | |
| 13 | Probabilistic reasoning in dynamic multiagent systems. | 2004 | 3 |
| 14 | 2003 | 7 | |
| 15 | Parameterization of Pseudo-independent Models | 2003 | 2 |
| 16 | 2003 | 5 | |
| 17 | Some Practical Issues in Modeling Diagnostic Systems with Multiply Sectioned Bayesian Networks | 1999 | 1 |
| 18 | 1996 | 54 | |
| 19 | A method for implementing a probabilistic model as a relational database | 1995 | 29 |
| 20 | 1993 | 27 |
About Yang Xiang
Yang Xiang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 59 papers that have together received 614 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (47 papers), AI-based Problem Solving and Planning (20 papers), Data Quality and Management (19 papers), Data Management and Algorithms (14 papers), Logic, Reasoning, and Knowledge (13 papers), Multi-Criteria Decision Making (4 papers), Advanced Database Systems and Queries (4 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Artificial Intelligence (499 citations), Management Science and Operations Research (167 citations) and Signal Processing (131 citations). Yang Xiang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include David Poole, S. K. M. Wong, Victor Lesser, Cory J. Butz, N. Cercone, T.-C. Chu, Andrew Eisen, Kristian G. Olesen, Brahim Chaib-draa and Nick Cercone. Their work appears in journals such as Scientific Reports, Artificial Intelligence and IEEE Transactions on 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.