Jinlong Ji
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Wireless Signal Modulation Classification
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- IoT and Edge/Fog Computing
Papers in
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- Cryptography and Data Security 4
- Privacy-Preserving Technologies in Data 3
- Adversarial Robustness in Machine Learning 2
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- Blockchain Technology Applications and Security 2
- Co-authors
- Pan Li (12 shared papers)Changqing Luo (7 shared papers)Qianlong Wang (4 shared papers)Xuhui Chen (1 shared paper)Xuhui Chen (6 shared papers)Weixian Liao (2 shared papers)Lixing Yu (4 shared papers)Tianxi Ji (3 shared papers)
- Journals
- IEEE Access (1 paper)Medicine (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)IEEE Transactions on Big Data (1 paper)Asian Conference on Machine Learning (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jinlong Ji
13 papers receiving 656 citations
Jinlong Ji's Hit Papers
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 285
- Computer Networks and Communications 178
- Information Systems 161
- Health Informatics 8
- Signal Processing 57
Countries citing papers authored by Jinlong Ji
This map shows the geographic impact of Jinlong Ji'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 Jinlong Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlong Ji more than expected).
Fields of papers citing papers by Jinlong Ji
This network shows the impact of papers produced by Jinlong Ji. 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 Jinlong Ji. The network helps show where Jinlong Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlong Ji, 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 | Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach Hit paper breakdown → | 2018 | 349 |
| 2 | 2018 | 147 | |
| 3 | 2018 | 37 | |
| 4 | 2018 | 35 | |
| 5 | 2017 | 25 | |
| 6 | 2018 | 19 | |
| 7 | 2016 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2016 | 10 | |
| 10 | 2018 | 10 | |
| 11 | Differentially Private Community Detection in Attributed Social Networks. | 2019 | 3 |
| 12 | SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. | 2018 | 3 |
| 13 | 2019 | 3 | |
| 14 | Domain Adaptation For Vehicle Detection In Traffic Surveillance Images From Daytime To Nighttime | 2020 | 0 |
About Jinlong Ji
Jinlong Ji is a scholar working on Artificial Intelligence, Information Systems, Cognitive Neuroscience, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 674 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (3 papers), EEG and Brain-Computer Interfaces (3 papers), Adversarial Robustness in Machine Learning (2 papers), Blockchain Technology Applications and Security (2 papers), Advanced MIMO Systems Optimization (2 papers), Millimeter-Wave Propagation and Modeling (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Computer Networks and Communications (178 citations), Information Systems (161 citations), Health Informatics (8 citations) and Signal Processing (57 citations). Jinlong Ji has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Pan Li, Changqing Luo, Qianlong Wang, Xuhui Chen, Xuhui Chen, Weixian Liao, Lixing Yu, Tianxi Ji, Kenneth A. Loparo and Xuhui Chen. Their work appears in journals such as IEEE Access, Medicine, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Big Data and Asian Conference on Machine Learning.
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.