Ruxia Liang
Impact in
-
- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
-
- Multi-Criteria Decision Making 7
- Advanced Bandit Algorithms Research 2
-
- Intelligent Tutoring Systems and Adaptive Learning 2
- Co-authors
- Jian‐qiang Wang (11 shared papers)Hong‐yu Zhang (3 shared papers)Lin Li (1 shared paper)N. O. Nawari (1 shared paper)Qian Zhang (3 shared papers)Jie Lü (2 shared papers)Zhiping Hou (1 shared paper)X. Yuan (1 shared paper)
- Journals
- Knowledge-Based Systems (3 papers)International Journal of Fuzzy Systems (2 papers)Neural Computing and Applications (2 papers)Canadian Geotechnical Journal (1 paper)Symmetry (1 paper)
- Partner nations
- ChinaAustraliaUnited Arab Emirates
In The Last Decade
Ruxia Liang
14 papers receiving 396 citations
Peers
Comparison fields: 5 of 64
- Management Science and Operations Research 300
- Statistics and Probability 63
- Control and Systems Engineering 132
- Artificial Intelligence 116
- Information Systems and Management 23
Countries citing papers authored by Ruxia Liang
This map shows the geographic impact of Ruxia Liang'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 Ruxia Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruxia Liang more than expected).
Fields of papers citing papers by Ruxia Liang
This network shows the impact of papers produced by Ruxia Liang. 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 Ruxia Liang. The network helps show where Ruxia Liang may publish in the future.
Co-authors
The 16 scholars most cited alongside Ruxia Liang, 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 | 2019 | 81 | |
| 2 | 2017 | 70 | |
| 3 | 2016 | 68 | |
| 4 | 2017 | 64 | |
| 5 | 2017 | 37 | |
| 6 | 2019 | 36 | |
| 7 | 2022 | 23 | |
| 8 | 2000 | 13 | |
| 9 | 2018 | 8 | |
| 10 | 2025 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2021 | 0 |
About Ruxia Liang
Ruxia Liang is a scholar working on Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering, Information Systems and Sociology and Political Science, having authored 16 papers that have together received 414 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (7 papers), Optimization and Mathematical Programming (4 papers), Recommender Systems and Techniques (3 papers), Technology Adoption and User Behaviour (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Advanced Bandit Algorithms Research (2 papers), Image Retrieval and Classification Techniques (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Management Science and Operations Research (300 citations), Statistics and Probability (63 citations), Control and Systems Engineering (132 citations), Artificial Intelligence (116 citations) and Information Systems and Management (23 citations). Ruxia Liang has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Jian‐qiang Wang, Hong‐yu Zhang, Lin Li, N. O. Nawari, Qian Zhang, Jie Lü, Zhiping Hou, X. Yuan, Junbo Li and Xiaoxuan Shen. Their work appears in journals such as Knowledge-Based Systems, International Journal of Fuzzy Systems, Neural Computing and Applications, Canadian Geotechnical Journal and Symmetry.
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.