Renjun Hu
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Recommender Systems and Techniques 6
- Web Data Mining and Analysis 2
-
- Advanced Graph Neural Networks 3
- Co-authors
- Shuai Ma (9 shared papers)Jinpeng Huai (6 shared papers)Hui Xiong (7 shared papers)Charų C. Aggarwal (2 shared papers)Yanjie Fu (2 shared papers)Xuelian Lin (2 shared papers)Hao Liu (3 shared papers)Ting Li (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Transactions on Mobile Computing (1 paper)IEEE Transactions on Multimedia (1 paper)CityU Scholars (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Renjun Hu
17 papers receiving 253 citations
Peers
Comparison fields: 5 of 39
- Transportation 74
- Signal Processing 54
- Statistical and Nonlinear Physics 60
- Artificial Intelligence 127
- Information Systems 69
Countries citing papers authored by Renjun Hu
This map shows the geographic impact of Renjun Hu'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 Renjun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renjun Hu more than expected).
Fields of papers citing papers by Renjun Hu
This network shows the impact of papers produced by Renjun Hu. 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 Renjun Hu. The network helps show where Renjun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Renjun Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2017 | 44 | |
| 3 | 2016 | 41 | |
| 4 | 2019 | 25 | |
| 5 | 2023 | 16 | |
| 6 | 2016 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 |
About Renjun Hu
Renjun Hu is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Transportation, having authored 18 papers that have together received 256 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Data Management and Algorithms (6 papers), Complex Network Analysis Techniques (5 papers), Human Mobility and Location-Based Analysis (4 papers), Advanced Graph Neural Networks (3 papers), Web Data Mining and Analysis (2 papers), Data-Driven Disease Surveillance (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Transportation (74 citations), Signal Processing (54 citations), Statistical and Nonlinear Physics (60 citations), Artificial Intelligence (127 citations) and Information Systems (69 citations). Renjun Hu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shuai Ma, Jinpeng Huai, Hui Xiong, Charų C. Aggarwal, Yanjie Fu, Xuelian Lin, Hao Liu, Ting Li, Jingjing Gu and Jingbo Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia and CityU Scholars.
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.