Jingyu Hua
- Transportation top 5%
- Human Mobility and Location-Based Analysis 4
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 13
- Internet Traffic Analysis and Secure E-voting 4
- Adversarial Robustness in Machine Learning 4
- Anomaly Detection Techniques and Applications 4
- Signal Processing top 10%
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- Software-Defined Networks and 5G 7
- Cooperative Communication and Network Coding 6
- Network Security and Intrusion Detection 4
- Journals
- Chemosphere (1 paper)Journal of Applied Polymer Science (1 paper)Journal of Neurotrauma (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jingyu Hua
43 papers receiving 567 citations
Peers
Comparison fields: 5 of 78
- Transportation 87
- Computer Science Applications 69
- Artificial Intelligence 365
- Signal Processing 69
- Computer Networks and Communications 139
Countries citing papers authored by Jingyu Hua
This map shows the geographic impact of Jingyu Hua'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 Jingyu Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyu Hua more than expected).
Fields of papers citing papers by Jingyu Hua
This network shows the impact of papers produced by Jingyu Hua. 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 Jingyu Hua. The network helps show where Jingyu Hua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingyu Hua, 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 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 20 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 44 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 87 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 30 | |
| 12 | 2016 | 10 | |
| 13 | Differentially private matrix factorization | 2015 | 32 |
| 14 | 2015 | 6 | |
| 15 | A Robust Acoustic Signal for Smartphone-based Indoor Ranging and Positioning | 2015 | 1 |
| 16 | 2015 | 5 | |
| 17 | 2014 | 8 | |
| 18 | 2013 | 1 | |
| 19 | 2012 | 3 | |
| 20 | 2010 | 3 |
About Jingyu Hua
Jingyu Hua is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Science Applications, having authored 45 papers that have together received 582 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Software-Defined Networks and 5G (7 papers), Cooperative Communication and Network Coding (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Adversarial Robustness in Machine Learning (4 papers), Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Transportation (87 citations), Computer Science Applications (69 citations) and Artificial Intelligence (365 citations). Jingyu Hua has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Sheng Zhong, Wei Tong, Yue Gao, Zhiyun Qian, Hongyi Sun, Fengyuan Xu, Sheng Zhong, Laiping Zhao, Yangyang Liu and Shiwen Liu. Their work appears in journals such as Chemosphere, Journal of Applied Polymer Science and Journal of Neurotrauma.
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.