Tangming Yuan
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- Risk and Safety Analysis 4
- Software top 10%
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- Safety Systems Engineering in Autonomy 3
- Artificial Intelligence top 10%
- Multi-Agent Systems and Negotiation 13
- Speech and dialogue systems 8
- Logic, Reasoning, and Knowledge 5
- Topic Modeling 5
- Natural Language Processing Techniques 4
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- Software Engineering Research 3
- Co-authors
- Haifeng WangTao TangTianhua XuDavid MooreGuang WangTim KellyJidong LvYuan Li
- Journals
- Expert Systems with Applications (1 paper)Sensors (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Tangming Yuan
26 papers receiving 303 citations
Peers
Comparison fields: 5 of 67
- Statistics, Probability and Uncertainty 46
- Software 22
- Safety, Risk, Reliability and Quality 46
- Artificial Intelligence 136
- Industrial and Manufacturing Engineering 41
Countries citing papers authored by Tangming Yuan
This map shows the geographic impact of Tangming Yuan'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 Tangming Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tangming Yuan more than expected).
Fields of papers citing papers by Tangming Yuan
This network shows the impact of papers produced by Tangming Yuan. 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 Tangming Yuan. The network helps show where Tangming Yuan may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Tangming Yuan, 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 | 2024 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 7 | |
| 5 | 2019 | 0 | |
| 6 | Reinforcement Learning of Dialogue Coherence and Relevance. | 2019 | 1 |
| 7 | Reinforcement Learning for Dialogue Game Based Argumentation. | 2019 | 5 |
| 8 | 2018 | 29 | |
| 9 | Reinforcement Learning for Argumentation: Describing a PhD Research. | 2017 | 2 |
| 10 | 2014 | 1 | |
| 11 | 2013 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 4 | |
| 14 | 2011 | 11 | |
| 15 | 2011 | 17 | |
| 16 | 2011 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2010 | 3 | |
| 19 | 2008 | 23 | |
| 20 | 2006 | 13 |
About Tangming Yuan
Tangming Yuan is a scholar working on Statistics, Probability and Uncertainty, Software and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 335 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (13 papers), Speech and dialogue systems (8 papers), Logic, Reasoning, and Knowledge (5 papers), Topic Modeling (5 papers), Risk and Safety Analysis (4 papers), Natural Language Processing Techniques (4 papers), Software Engineering Research (3 papers) and Safety Systems Engineering in Autonomy (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (46 citations), Software (22 citations) and Safety, Risk, Reliability and Quality (46 citations). Tangming Yuan has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Haifeng Wang, Tao Tang, Tianhua Xu, David Moore, Guang Wang, Tim Kelly, Jidong Lv, Yuan Li, Guang Wang and MengChu Zhou. Their work appears in journals such as Expert Systems with Applications, Sensors and Artificial Intelligence.
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.