Chi Jiang
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Artificial Intelligence Applications
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 3
- Sentiment Analysis and Opinion Mining 2
- Imbalanced Data Classification Techniques 2
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- Blockchain Technology Applications and Security 3
- Recommender Systems and Techniques 2
- Co-authors
- Yin Zhang⋆ (11 shared papers)Huimin Lu (3 shared papers)Haider Abbas (2 shared papers)Yujie Li (1 shared paper)Ranran Wang (6 shared papers)Mohsen Guizani (1 shared paper)Jiafu Wan (1 shared paper)Xiao Ma (4 shared papers)
In The Last Decade
Chi Jiang
14 papers receiving 284 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 109
- Signal Processing 32
- Business and International Management 5
- Media Technology 22
Countries citing papers authored by Chi Jiang
This map shows the geographic impact of Chi Jiang'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 Chi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Jiang more than expected).
Fields of papers citing papers by Chi Jiang
This network shows the impact of papers produced by Chi Jiang. 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 Chi Jiang. The network helps show where Chi Jiang may publish in the future.
Co-authors
The 21 scholars most cited alongside Chi Jiang, 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 | 2020 | 150 | |
| 2 | 2021 | 58 | |
| 3 | 2019 | 37 | |
| 4 | 2020 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2019 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2018 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | Difference Measure Method of Risk Probability Distribution Based on Moment Generating Function and Fuzzy Data Stream Clustering. | 2019 | 0 |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2019 | 0 | |
| 19 | 2023 | 0 |
About Chi Jiang
Chi Jiang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 19 papers that have together received 300 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Topic Modeling (3 papers), Caching and Content Delivery (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Imbalanced Data Classification Techniques (2 papers), Music and Audio Processing (2 papers), Speech and Audio Processing (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Artificial Intelligence (109 citations), Signal Processing (32 citations), Business and International Management (5 citations) and Media Technology (22 citations). Chi Jiang has collaborated with scholars based in China, Japan and Pakistan. Frequent co-authors include Yin Zhang⋆, Huimin Lu, Haider Abbas, Yujie Li, Ranran Wang, Mohsen Guizani, Jiafu Wan, Xiao Ma, Yi Ye and Xin Li. Their work appears in journals such as IEEE Wireless Communications, IEEE Transactions on Consumer Electronics, IEEE Transactions on Intelligent Transportation Systems, Computer Communications and Mechanical Systems and Signal Processing.
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.