Junwei Du
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Software Engineering Research
Papers in
-
- Recommender Systems and Techniques 17
- Software Engineering Research 14
- Service-Oriented Architecture and Web Services 7
-
- Advanced Graph Neural Networks 7
- Data Stream Mining Techniques 3
- Co-authors
- Xu Yu (22 shared papers)Feng Xian Jiang (18 shared papers)Dunwei Gong (9 shared papers)Lingwei Xu (2 shared papers)Bin Yu (4 shared papers)Minghui Wang (2 shared papers)Hongwu Lv (2 shared papers)Zhaomin Yu (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Computational Intelligence and Neuroscience (2 papers)IEEE Access (2 papers)Information Sciences (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junwei Du
55 papers receiving 690 citations
Peers
Comparison fields: 5 of 114
- Business and International Management 27
- Information Systems 257
- Software 40
- Artificial Intelligence 231
- Computer Science Applications 25
Countries citing papers authored by Junwei Du
This map shows the geographic impact of Junwei Du'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 Junwei Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Du more than expected).
Fields of papers citing papers by Junwei Du
This network shows the impact of papers produced by Junwei Du. 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 Junwei Du. The network helps show where Junwei Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Du, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 148 | |
| 2 | 2018 | 69 | |
| 3 | 2021 | 65 | |
| 4 | 2021 | 56 | |
| 5 | 2018 | 54 | |
| 6 | 2022 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2021 | 7 |
About Junwei Du
Junwei Du is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Science Applications and Computer Networks and Communications, having authored 64 papers that have together received 704 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Software Engineering Research (14 papers), Software Reliability and Analysis Research (8 papers), Advanced Graph Neural Networks (7 papers), Service-Oriented Architecture and Web Services (7 papers), Software System Performance and Reliability (5 papers), Data Stream Mining Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Business and International Management (27 citations), Information Systems (257 citations), Software (40 citations), Artificial Intelligence (231 citations) and Computer Science Applications (25 citations). Junwei Du has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xu Yu, Feng Xian Jiang, Dunwei Gong, Lingwei Xu, Bin Yu, Minghui Wang, Hongwu Lv, Zhaomin Yu, Wenying Qiu and Lei Liu. Their work appears in journals such as Pattern Recognition, Computational Intelligence and Neuroscience, IEEE Access, Information Sciences and Expert Systems with 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.