Manqing Dong
- Artificial Intelligence top 5%
- Information Systems top 5%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Lina YaoLiming ZhuXiwei XuXianzhi WangYuan FengBoualem BenatallahZhe LiuYu Zhang
- Topics
- Topic Modeling (5 papers)Recommender Systems and Techniques (4 papers)Advanced Graph Neural Networks (4 papers)
In The Last Decade
Manqing Dong
12 papers receiving 361 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 202
- Information Systems 198
- Cognitive Neuroscience 83
- Computer Vision and Pattern Recognition 61
- Management Science and Operations Research 50
Countries citing papers authored by Manqing Dong
This map shows the geographic impact of Manqing Dong'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 Manqing Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manqing Dong more than expected).
Fields of papers citing papers by Manqing Dong
This network shows the impact of papers produced by Manqing Dong. 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 Manqing Dong. The network helps show where Manqing Dong may publish in the future.
Co-authorship network of co-authors of Manqing Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Manqing Dong. A scholar is included among the top collaborators of Manqing Dong 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 Manqing Dong. Manqing Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 20 | |
| 3 | 23 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 93 | |
| 7 | Trust in Recommender Systems: A Deep Learning Perspective. | 5 |
| 8 | 101 | |
| 9 | 3 | |
| 10 | 54 | |
| 11 | 15 | |
| 12 | 29 |
About Manqing Dong
Manqing Dong is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 12 papers that have together received 373 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Information Systems (198 citations), Artificial Intelligence (202 citations) and Computer Science Applications (30 citations). Manqing Dong has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Lina Yao, Liming Zhu, Xiwei Xu, Xianzhi Wang, Yuan Feng, Boualem Benatallah, Zhe Liu, Yu Zhang, Xiang Zhang and Yong Li. Their work appears in journals such as Knowledge-Based Systems, Pattern Recognition Letters and Neural Computing and Applications.
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.