Mingyue Cheng
- Artificial Intelligence top 10%
- Information Systems top 10%
- Political Science and International Relations
- Signal Processing
- Management Science and Operations Research
- Co-authors
- Enhong ChenQi LiuRunlong YuFajie YuanDayong WuBiao YinZhi LiYanqing An
- Topics
- Recommender Systems and Techniques (9 papers)Time Series Analysis and Forecasting (6 papers)Music and Audio Processing (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Intelligent Systems and TechnologyFrontiers of Computer Science
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Mingyue Cheng
16 papers receiving 179 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 106
- Information Systems 72
- Political Science and International Relations 41
- Signal Processing 37
- Management Science and Operations Research 34
Countries citing papers authored by Mingyue Cheng
This map shows the geographic impact of Mingyue Cheng'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 Mingyue Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyue Cheng more than expected).
Fields of papers citing papers by Mingyue Cheng
This network shows the impact of papers produced by Mingyue Cheng. 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 Mingyue Cheng. The network helps show where Mingyue Cheng may publish in the future.
Co-authorship network of co-authors of Mingyue Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Cheng. A scholar is included among the top collaborators of Mingyue Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyue Cheng. Mingyue Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 21 | |
| 17 | 43 | |
| 18 | 23 | |
| 19 | 8 |
About Mingyue Cheng
Mingyue Cheng is a scholar working on Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 19 papers that have together received 181 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Time Series Analysis and Forecasting (6 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (37 citations), Artificial Intelligence (106 citations) and Information Systems (72 citations). Mingyue Cheng has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Enhong Chen, Qi Liu, Qi Liu, Runlong Yu, Fajie Yuan, Dayong Wu, Biao Yin, Zhi Li, Yanqing An and Han Wu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology and Frontiers of Computer Science.
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.