Manqing Dong

860 total citations
12 papers, 373 citations indexed

About

Manqing Dong is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manqing Dong has authored 12 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manqing Dong's work include Topic Modeling (5 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Manqing Dong is often cited by papers focused on Topic Modeling (5 papers), Recommender Systems and Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). Manqing Dong collaborates with scholars based in Australia, China and Singapore. Manqing Dong's co-authors include Lina Yao, Liming Zhu, Xiwei Xu, Xianzhi Wang, Yuan Feng, Boualem Benatallah, Zhe Liu, Yu Zhang, Xiang Zhang and Yong Li and has published in prestigious journals such as Knowledge-Based Systems, Pattern Recognition Letters and Neural Computing and Applications.

In The Last Decade

Manqing Dong

12 papers receiving 361 citations

Peers

Countries citing papers authored by Manqing Dong

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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12 of 12 papers shown

#	Work	Indexed citations
1	A survey for trust-aware recommender systems: A deep learning perspective 2022 ·Knowledge-Based Systems ·Manqing Dong, Yuan Feng, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu	22
2	Gradient Boosted Neural Decision Forest 2021 ·IEEE Transactions on Services Computing ·Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng	20
3	MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Manqing Dong, (unknown), Zhipeng Luo	23
4	Adversarial dual autoencoders for trust-aware recommendation 2021 ·Neural Computing and Applications ·Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu	5
5	AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data 2021 ·Zhipeng Luo, (unknown), Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, (unknown)	3
6	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection 2020 ·IEEE Journal of Biomedical and Health Informatics ·Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li	93
7	Trust in Recommender Systems: A Deep Learning Perspective. 2020 ·arXiv (Cornell University) ·Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu	5
8	MAMO 2020 ·Manqing Dong, Yuan Feng, Lina Yao, Xiwei Xu, Liming Zhu	101
9	Dual-stream Self-Attentive Random Forest for False Information Detection 2019 ·Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng	3
10	A Survey on Expert Recommendation in Community Question Answering 2018 ·Journal of Computer Science and Technology ·Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong	54
11	Rating prediction via generative convolutional neural networks based regression 2018 ·Pattern Recognition Letters ·(unknown), (unknown), Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang	15
12	NeuRec: On Nonlinear Transformation for Personalized Ranking 2018 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong	29

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.

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