Fengda Zhang
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Privacy-Preserving Technologies in Data 6
- Reinforcement Learning in Robotics 2
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- Rock Mechanics and Modeling 5
- Geomechanics and Mining Engineering 3
- Co-authors
- Kun Kuang (6 shared papers)Fei Wu (4 shared papers)Chao Wu (4 shared papers)Yueting Zhuang (2 shared papers)Yunfei Chu (1 shared paper)Yang Yao (1 shared paper)Jianwei Zhang (1 shared paper)Jiangchao Yao (1 shared paper)
- Journals
- Scientific Reports (2 papers)International Journal of Mining and Mineral Engineering (2 papers)Patterns (1 paper)Shock and Vibration (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fengda Zhang
17 papers receiving 190 citations
Peers
Comparison fields: 5 of 44
- Health Informatics 8
- Artificial Intelligence 104
- Computer Networks and Communications 48
- Computational Mathematics 1
- Information Systems 37
Countries citing papers authored by Fengda Zhang
This map shows the geographic impact of Fengda Zhang'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 Fengda Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengda Zhang more than expected).
Fields of papers citing papers by Fengda Zhang
This network shows the impact of papers produced by Fengda Zhang. 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 Fengda Zhang. The network helps show where Fengda Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengda Zhang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2023 | 45 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 19 | |
| 5 | 2019 | 6 | |
| 6 | 2022 | 3 | |
| 7 | 2019 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2020 | 1 | |
| 18 | Failure Mechanism and Plastic Zone Distribution of Coal Mining Floor | 2012 | 0 |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Fengda Zhang
Fengda Zhang is a scholar working on Artificial Intelligence, Mechanics of Materials, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 198 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Rock Mechanics and Modeling (5 papers), Geoscience and Mining Technology (3 papers), Geomechanics and Mining Engineering (3 papers), Reinforcement Learning in Robotics (2 papers), Traffic Prediction and Management Techniques (2 papers), Power Transformer Diagnostics and Insulation (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (104 citations), Computer Networks and Communications (48 citations), Computational Mathematics (1 citation) and Information Systems (37 citations). Fengda Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kun Kuang, Fei Wu, Chao Wu, Yueting Zhuang, Yunfei Chu, Yang Yao, Jianwei Zhang, Jiangchao Yao, Ziqi Tan and Jianxin Ma. Their work appears in journals such as Scientific Reports, International Journal of Mining and Mineral Engineering, Patterns, Shock and Vibration and IEEE Transactions on Knowledge and Data Engineering.
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.