Dongjing Wang
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Recommender Systems and Techniques 26
-
- Human Pose and Action Recognition 8
- Co-authors
- Shuiguang Deng (25 shared papers)Dongjin Yu (37 shared papers)Guandong Xu (20 shared papers)Xin Zhang (15 shared papers)Zhengzhe Xiang (8 shared papers)Xitong Li (1 shared paper)Jianwei Yin (3 shared papers)Yuyu Yin (4 shared papers)
- Journals
- Applied Intelligence (4 papers)Multimedia Tools and Applications (4 papers)Frontiers in Veterinary Science (3 papers)Neurocomputing (3 papers)World Wide Web (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Dongjing Wang
70 papers receiving 920 citations
Peers
Comparison fields: 5 of 104
- Information Systems 529
- Transportation 126
- Signal Processing 184
- Computer Vision and Pattern Recognition 245
- Artificial Intelligence 343
Countries citing papers authored by Dongjing Wang
This map shows the geographic impact of Dongjing Wang'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 Dongjing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongjing Wang more than expected).
Fields of papers citing papers by Dongjing Wang
This network shows the impact of papers produced by Dongjing Wang. 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 Dongjing Wang. The network helps show where Dongjing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongjing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 69 | |
| 2 | 2021 | 56 | |
| 3 | 2020 | 53 | |
| 4 | 2017 | 46 | |
| 5 | 2016 | 43 | |
| 6 | 2023 | 39 | |
| 7 | 2022 | 38 | |
| 8 | 2019 | 35 | |
| 9 | 2021 | 31 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2017 | 22 | |
| 14 | 2019 | 20 | |
| 15 | 2023 | 19 | |
| 16 | 2023 | 18 | |
| 17 | 2016 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2023 | 15 |
About Dongjing Wang
Dongjing Wang is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 76 papers that have together received 941 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (26 papers), Music and Audio Processing (11 papers), Advanced Graph Neural Networks (9 papers), Human Pose and Action Recognition (8 papers), Caching and Content Delivery (8 papers), Human Mobility and Location-Based Analysis (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Information Systems (529 citations), Transportation (126 citations), Signal Processing (184 citations), Computer Vision and Pattern Recognition (245 citations) and Artificial Intelligence (343 citations). Dongjing Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shuiguang Deng, Dongjin Yu, Guandong Xu, Xin Zhang, Zhengzhe Xiang, Xitong Li, Jianwei Yin, Yuyu Yin, Jianqing Zhang and Bin Cao. Their work appears in journals such as Applied Intelligence, Multimedia Tools and Applications, Frontiers in Veterinary Science, Neurocomputing and World Wide Web.
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.