Ji Feng
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 7
- Machine Learning and Data Classification 5
- Advanced Clustering Algorithms Research 5
- Neural Networks and Applications 2
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- Face and Expression Recognition 5
- Signal Processing top 5%
- Data Management and Algorithms 4
- Media Technology top 5%
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- Indoor and Outdoor Localization Technologies 2
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- Complex Network Analysis Techniques 2
Ji Feng
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 806
- Computer Vision and Pattern Recognition 375
- Signal Processing 145
- Media Technology 83
- Health Information Management 31
Countries citing papers authored by Ji Feng
This map shows the geographic impact of Ji Feng'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 Ji Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Feng more than expected).
Fields of papers citing papers by Ji Feng
This network shows the impact of papers produced by Ji Feng. 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 Ji Feng. The network helps show where Ji Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ji Feng, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 1 | |
| 10 | Multi-Layered Gradient Boosting Decision Trees | 2018 | 9 |
| 11 | 2018 | 5 | |
| 12 | Deep forestbreakdown → | 2018 | 556 |
| 13 | Deep MIML Network | 2017 | 34 |
| 14 | Deep Forest: Towards An Alternative to Deep Neural Networksbreakdown → | 2017 | 613 |
| 15 | 2016 | 181 | |
| 16 | 2016 | 17 | |
| 17 | 2015 | 122 | |
| 18 | 2014 | 2 | |
| 19 | 2010 | 12 | |
| 20 | 2010 | 3 |
About Ji Feng
Ji Feng is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Machine Learning and Data Classification (5 papers), Face and Expression Recognition (5 papers), Advanced Clustering Algorithms Research (5 papers), Data Management and Algorithms (4 papers), Indoor and Outdoor Localization Technologies (2 papers), Complex Network Analysis Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (806 citations), Computer Vision and Pattern Recognition (375 citations) and Signal Processing (145 citations). Ji Feng has collaborated with scholars based in China, Netherlands and Saudi Arabia. Frequent co-authors include Zhi‐Hua Zhou, Qingsheng Zhu, Jinlong Huang, Lijun Yang, Bin Fang, Chaochao Chen, Shougui Zhang, Yalin Zhang, Qi Yuan and Ziqi Liu. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Cybernetics, Knowledge-Based Systems, Computational Intelligence and Neuroscience and National Science Review.
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.