Chi Jiang
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Artificial Intelligence Applications
Papers in
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- Blockchain Technology Applications and Security 6
- Cybercrime and Law Enforcement Studies 3
- Spam and Phishing Detection 2
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- Topic Modeling 3
- Imbalanced Data Classification Techniques 2
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Yin Zhang⋆ (15 shared papers)Huimin Lu (3 shared papers)Haider Abbas (2 shared papers)Yujie Li (1 shared paper)Jiafu Wan (1 shared paper)Mohsen Guizani (1 shared paper)Ranran Wang (6 shared papers)Xiao Ma (4 shared papers)
In The Last Decade
Chi Jiang
17 papers receiving 333 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 118
- Signal Processing 36
- Media Technology 24
- Information Systems 61
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 19 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 174 | |
| 2 | 2021 | 69 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | Difference Measure Method of Risk Probability Distribution Based on Moment Generating Function and Fuzzy Data Stream Clustering. | 2019 | 0 |
| 19 | 2023 | 0 | |
| 20 | 2019 | 0 |
About Chi Jiang
Chi Jiang is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 22 papers that have together received 345 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Topic Modeling (3 papers), Cybercrime and Law Enforcement Studies (3 papers), Direction-of-Arrival Estimation Techniques (2 papers), Advanced MIMO Systems Optimization (2 papers), Spam and Phishing Detection (2 papers), Imbalanced Data Classification Techniques (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (101 citations), Artificial Intelligence (118 citations), Signal Processing (36 citations), Media Technology (24 citations) and Information Systems (61 citations). Chi Jiang has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Yin Zhang⋆, Huimin Lu, Haider Abbas, Yujie Li, Jiafu Wan, Mohsen Guizani, Ranran Wang, Xiao Ma, Yi Ye and Bander Alzahrani. Their work appears in journals such as Mechanical Systems and Signal Processing, Computer Communications, IEEE Wireless Communications, Computers & Electrical Engineering and Information Fusion.
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.